Modern Difference-in-Differences: New Problems, New Solutions - Linear Regression and Panel Data in STATA
PREREQUISITES Working knowledge of linear regression and basic familiarity with panel data concepts (fixed effects, clustering) Prior experience with Stata is expected No prior exposure to the new DiD literature is assumed — the workshop builds from the ground up PROGRAM SESSION I: SIMPLE DID DESIGNS The 2×2 design 2×T event studies Parallel trends Interpreting ATT parameters as estimands Clustering and standard errors SESSION II: VIOLATIONS OF PARALLEL TRENDS Covariates Triple differences Compositional changes over time Addressing weak overlap SESSION III: DIFFERENTIAL TIMING Two-way fixed effects problems Goodman-Bacon decomposition, Callaway and Sant’Anna, Sun and Abraham, Borusyak et al., Wooldridge Imputation vs. weighting estimators SESSION IV: SENSITIVITY ANALYSIS Bounding parallel trends violations Sensitivity of results across packages and languages SESSION V: CONTINUOUS DID AND DOSAGE DESIGNS Extending difference-in-differences to continuous treatments and dosage frameworks SESSION VI: A MODEST SUGGESTION OF CHECKS Walk-throughs using several empirical examples, all in Stata Practical guidance on reporting and diagnostics DATE AND LOCATION This Workshop is being offered on the second day of the Italian Stata Users Conference that will take place in Milan, on the 17th-18th September 2026. COURSE LEADERS Scott Cunningham – Ben H. Williams Professor of Economics, Baylor University REGISTRATION FEE AND REGISTRATION FORM Conference Conference and Workshop Students and PhD Students* full-time € 60.00 € 195.00 Other € 110.00 € 420.00 All participation fees are subject to VAT (applied at the current Italian rate of 22%); *To be eligible for student prices, participants must provide proof of their full-time student status for the current academic year. Individuals interested in participating should return their duly completed registration forms to the conference organizers by the 10.09.2026 at the very latest. To request further information or the registration form, please fill in the following form or send an email to training@tstat.eu
This Workshop is being offered on the second day of the Italian Stata Users Conference that will take place in Milan, on the 17th-18th September 2026.
Econometrics, Statistics and Quantitative Methods (JEL C)
Large Language Models, Graphs and Applications (LLGA) Master's Specialization
The LLGA Master’s specialization is a two-year, fully English-taught degree with a strong international outlook. Designed for ambitious students, the specialization equips graduates with both a solid theoretical foundation and hands-on industry expertise in Generative AI. With a special emphasis on Large Language Models (LLMs) and graph-structured data, students gain the skills to harness cutting-edge technologies and apply them across diverse fields—from healthcare and biology to finance, social networks, and beyond. In recent years, Generative AI has grown explosively, with Large Language Models (LLMs) transforming how society and the economy interact with the digital world. From translation and code generation to creative content and advanced reasoning, these technologies achieve tasks once unimaginable. The LLGA Master’s specialization prepares students to master this field, combining theory with real-world applications. Graph-based models, such as Graph Neural Networks (GNNs), add another layer by capturing complex structures in networks, molecules, or logistics. Together, LLMs and graph methods enable multimodal generative AI, opening opportunities in healthcare, finance, recommendation systems, and beyond. The LLGA specialization provides a strong foundation in machine and deep learning, plus hands-on experience with cutting-edge generative techniques. Through projects, case studies, and industry applications, graduates gain rare expertise, equipping them to lead the next generation of AI innovation. Program Details Master's Degree Industry-Oriented Duration: 2 Years Taught in: English Location: France Credits: 140 ECTS Cost: Up to €15,400 Per Year Academic Prerequisites Students are required to have a suitable background in mathematics and computer science. In practice, this means knowledge of linear algebra, statistics, as well as Python programming, algorithms and data structures. Some exposure to natural language processing and graph theory is desirable, but not required. Candidates with Bachelor degrees that are not in Mathematics or Computer Science are also admissible if the required knowledge domains are covered in their degree programs. Career Prospects Students will have highly suitable profiles for data science or AI roles in industry. While the LLM aspect of the specialization allows students to apply to companies in most digital companies, the graphs and applications aspect of the specialization prepares the students particularly well for roles in the pharma, logistics and communication industries. Graduates of the LLGA Master’s specialization are prepared for careers as AI/ML Engineers, Data Scientists, NLP Specialists, Graph AI Experts, and AI Research Scientists, as well as strategic roles such as AI Product Managers, Solution Architect. Opportunities span industries including tech, healthcare, finance, consulting, social media, e-commerce, and public institutions. Also - since the specialization teaches cutting-edge methodology in a relevant field of research, pursuing a PhD after this program is perfectly possible. Contact Us ECOLE POLYTECHNIQUE Route de Saclay 91128 PALAISEAU Cedex France
The LLGA Master’s specialization is a two-year, fully English-taught degree focusing on Generative AI and Large Language Models.
Leah Boustan Named Brachman Professor of Economics at Yale
Yale University has announced the appointment of Leah Boustan as the Malcolm K. Brachman Professor of Economics, effective July 1, 2026. Boustan, who joined Yale’s Faculty of Arts and Sciences in 2025, also directs the Program in Economic History. Her academic research focuses on the intersections of migration, labor markets, and inequality throughout American history. Notably, she has examined significant trends such as the Great Black Migration from the rural South during and after World War II and the mass migration from Europe to the United States in the late 19th and early 20th centuries. Boustan's notable publications include her first book, "Competition in the Promised Land: Black Migrants in Northern Cities and Labor Markets," which has received awards from the Social Science History Association and the Economic History Association. Her recent book, "Streets of Gold: America’s Untold Story of Immigrant Success," was recognized as one of The New Yorker’s Best Books of 2022. Throughout her career, Boustan has garnered numerous accolades, including the Alfred P. Sloan Research Fellowship and a fellowship from the Econometrics Society. She is also an active speaker and has been invited to give keynote presentations on her research and recent publications. At Yale, Boustan introduced a new graduate course on American economic history and updated the Program in Economic History through new seminars and collaborations. Besides her role at Yale, she is a research associate at the National Bureau of Economic Research and has held editorial positions with prestigious journals in economics and urban studies. Boustan holds an A.B. from Princeton University and a Ph.D. from Harvard University. You can read more in the Yale press release. Find out more about Leah Boustan on her Yale profile page, her personal site at Yale, or on her Google Scholar page.
Leah Boustan, a prominent scholar in economic history and labor economics, has been appointed the Malcolm K. Brachman Professor of Economics at Yale University, effective July 1, enhancing the university's faculty expertise in these fields.
Environmental Economist Sebastian Tonke Awarded 2026 Joachim Herz Prize worth €500,000
Prof. Dr. Sebastian Tonke, an environmental economist based in Munich, has been awarded the 2026 Joachim Herz Prize, one of Germany's most valuable scientific awards, recognizing his groundbreaking research on sustainable drinking water use. The award ceremony took place on August 27, 2026, in Hamburg. Tonke will receive €500,000 for his project aimed at developing effective incentives to reduce water consumption amidst growing concerns about water scarcity due to climate change. In his study, Tonke is integrating digital water meters with a smartphone app, allowing households to monitor their drinking water usage in real time. His research will analyze which strategies effectively encourage families to conserve water, with the goal of assisting water utilities and policymakers in formulating better conservation measures. As stated by the Federal Statistical Office, a significant portion of Germany's drinking water—around 80%—is consumed by private households and small businesses. This highlights the urgency of addressing water conservation, particularly as droughts and regional shortages become more prevalent. Over the past 25 years, Germany has lost 60 km³ of water, equivalent to twenty times the volume of Lake Starnberg, according to Federal Environment Minister Carsten Schneider. Tonke's project, named WETTER (Water Efficiency through Technology, Targeting, and Experimental Research), aims to equip 4,000 households with digital water meters to gather data on water usage behavior and assess the effectiveness of various conservation incentives. These insights could potentially be applied to the management of other resources, such as energy. About the Joachim Herz Prize The Joachim Herz Foundation honours outstanding researchers whose interdisciplinary work helps shape a more sustainable future. Endowed with € 500,000, the Joachim Herz Prize supports innovative projects by early-career researchers seeking to deepen their research or translate scientific insights into practical applications. The Joachim Herz Prize is among the most highly endowed research awards in Germany. Find out more about on the Joachim Herz Foundation website. About Sebastian Tonke Prof. Dr. Sebastian Tonke is a professor of environmental economics at the TUM School of Life Sciences and the TUM School of Management. His research lies at the intersection of environmental and behavioral economics. He studies the motives underlying economic behavior and tests their policy implications to address environmental challenges —particularly in the sustainable management of water and waste. In large-scale studies, he examines how various measures work, what their weaknesses are, and whether they influence one another. Tonke completed his Ph.D. in economics at the University of Cologne in 2019. From 2019 to 2026, he worked as a senior research fellow at the Max Planck Institute for Behavioral Economics in Bonn. He was a visiting research fellow at Harvard University in spring 2024. Find out more about Sebastian Tonke on his TU Munich profile page. Full press release: joachim-herz-stiftung.de
Environmental economist Prof. Dr. Sebastian Tonke from the Technical University of Munich has been awarded the prestigious Joachim Herz Prize for his innovative research project on sustainable drinking water use. He will receive €500,000 to study effective incentives for water conservation in households.
Agricultural and Environmental Economics (JEL Q)
Navin Kartik Appointed Melamed Professor of Economics at Yale University
Yale University has announced the appointment of Navin Kartik as the A. Douglas Melamed Professor of Economics, effective July 1, 2026. The appointment solidifies Kartik's role within the Faculty of Arts and Sciences at Yale, where he joined in 2025 after a 17-year career at Columbia University. Kartik, who holds a B.A. in Economics and Mathematics from Brandeis University and a Ph.D. in Economics from Stanford University, is noted for his impactful work in microeconomic theory, game theory, and information economics. His research explores critical concepts such as "incentive compatibility" and “single-crossing properties,” extending to practical applied issues like the decision-making processes of political candidates and the implications of test-optional admissions policies in academia. Known for his contributions to strategic communication, Kartik has developed a theoretical framework addressing how misinformation affects effective communication among conflicting interests. His notable publications have appeared in leading economic journals such as the American Economic Review and Econometrica. At Yale, he teaches courses on advanced economic theory and political economy, and has initiated a seminar titled “Elections: Preference and Information Aggregation.” His efforts are also evident in the establishment of the Political Economy Program at Yale’s Cowles Foundation, with supports research in political economy. Kartik has also been recognized with numerous prestigious awards, including the Lenfest Distinguished Faculty Award from Columbia University For more information, see the Yale press release. For further information about Navin Kartik's work and influence at Yale, visit his Profile Page at Yale, his personal website, or his google scholar page.
Yale University announces the appointment of Navin Kartik as the A. Douglas Melamed Professor of Economics, effective July 1, 2026. A noted scholar in microeconomics and game theory, Kartik's research examines strategic communication and incentive structures.
Time Series Modelling and Forecasting using Stata
COURSE DESCRIPTION Time Series data is today available for a wide range of several phenomena in Business, Finance, Economics, Public Health, the Political and Social Sciences. The aim of TStat Training’s Times Series Modelling and Forecasting Course is therefore, to provide researchers and professionals with the standard tool kit required for the analysis of time series data in Stata. As such the program has been developed to offer an overview of the most commonly used methods for analysing, modelling and forecasting the dynamic behaviour of time series data, offering practical examples of empirical modelling using real-world data. The course begins with an introduction to Stata’s basic time series commands, before moving onto the analysis of time series features and to univariate time series models. Sessions 3 and 4 instead focus on the estimation of both multivariate time series models with stationary and nonstationary data and univariate models of volatility. In common with TStat’s training philosophy, throughout the course theory and methods are illustrated in an intuitive way and are complemented by practical exercises undertaken in Stata, during which the course tutor discusses and highlights potential pitfalls and the advantages of individual techniques. Particular attention is also given to both the interpretation and presentation of empirical results. In this manner, the course leader is able to bridge the “often difficult” gap between theory and practice of time series modelling and forecasting. Upon completion, it is expected that participants are able to autonomously implement the statistical methods discussed during the course to their own data, customizing when necessary, the Stata do-file routines specifically developed for the course. TARGET AUDIENCE Researchers and professionals working in financial institutions, policy institutions, research departments of utilities, governments, corporations, Ph.D and Master students in biostatistics, economics, finance, engineering, psychology, social and political sciences needing to implement time series data analysis methods. PREREQUISITES Participants are required to have a good working knowledge of: • Linear regression model definition and assumptions • Ordinary Least Squares (OLS) estimation. Properties ofOLS • Inference in the linear regression model: confidenceintervals, t-test, F-test • Violation of the linear regression model assumptions:heteroscedasticity, serial correlation, functional formmisspecification, non-Normality. Consequences ofviolations and remedies • Diagnostic analysis of regression: tests forheteroscedasticity, test for serial correlation, Normalitytest, Ramsey’s RESET • Regression with time series data. Concepts of laggedvariable and differenced variable • Dynamic models Those needing to refresh these concepts are referred to: • Hill, R.C., Griffiths, W.E., and G.C. Lim (2018). Principlesof Econometrics, 5th Edition. Wiley • Stock, J.H., and Watson, M.W. (2019). Introduction toEconometrics, 4th edition, Pearson • Wooldridge, J.M. (2020). Introductory Econometrics: AModern Approach, 7th Edition, Cengage Learning PROGRAM SESSION I: WORKING WITH TIME SERIES IN STATA 1. A quick introduction to Stata for time series data: • Creating and formatting date variables using date and time functions and time-series declaration • Using Stata time-series operators to create lags, leads, differences, seasonal differences, percentage changes 2. Graphical analysis of time series: • Creating and examining line plots to understand the behaviour of series over time • Creating and examining correlograms to assess dependence in time series • Creating and examining histograms to evaluate Normality 3. Descriptive statistics analysis of time series: • Unit root test: Augmented Dickey Fuller Test and DFGLS test • White Noise test • Normality test SESSION II: UNIVARIATE TIME SERIES MODELS 1. Univariate Time Series Models: theoretical elements • Autoregressive model (AR) • Moving Average model (MA) • Autoregressive Moving Average Model (ARMA) • Autoregressive Integrated Moving Average Model (ARIMA) • Seasonal ARIMA models (SARIMA) 2. ARIMA modelling in practice: using the Box-Jenkins approach to model real-world economic time series • Examining the sample autocorrelation function and the sample partial autocorrelation function • Estimation of ARIMA models • Model diagnostic analysis and model selection using information criteria 3. Forecasting with ARIMA models 4. An introduction to Markov-Switching Models • Markov-switching dynamic regression • Markov-switching autoregression SESSION III: MULTIVARIATE TIME SERIES MODELS 1. Multivariate Time Series Models – Vector Autoregression (VAR): theoretical elements 2. VAR modelling in practice: • Lag order selection • Estimation • Diagnostic checking: autocorrelation, stationarity and normality 3. Granger causality and impulse response function analysis 4. Forecasting with VAR models 5. Nonstationary time series: spurious regressions versus cointegration • Concepts of long-run equilibrium relationships and short-run relationships • Vector Error Correction Model (VECM) • Testing for cointegration in regressions: a residuals-based test 6. Engle and Granger two-step method 7. Testing for cointegration and estimating cointegrating relationships with the Johansen’s approach SESSION IV: MODELLING AND FORECASTING VOLATILITY IN TIME SERIES MODELS 1. Time-varying volatility: • Visual inspection of time-varying volatility (i.e. volatility clustering) and leptokurtosis with line plots and histograms • ARCH test 2. Modelling volatility of financial time series: • ARCH model: estimation and diagnostic checking • Extension to the ARCH model: GARCH model, estimation and diagnostic checking • ARCH-in-Mean model • Modelling the asymmetric impact of news on volatility: Asymmetric GARCH models (EGARCH, GJR-GARCH, TGARCH, APARCH) • Model selection 3. Forecasting volatility with GARCH models SUGGESTED READING (PRE – AND POST-COURSE) Becketti, S. (2020). Introduction to Time Series Using Stata. Stata Press Publication. Boffelli, S. and Urga G. (2016). Financial Econometrics Using Stata. Stata Press Publication. DATE AND LOCATION The 2026 edition of this training course will be offered ONLINE on a part-time basis on the 1st-2nd, 8th-9th of October. To this end, programme includes a series of sessions based on 4 modules from 10:00 am to 1:30 pm Central European Summer Time (CEST). COURSE LEADERS Dr Elisabetta PELLINI, Centre for Econometric Analysis, Bayes Business School (formerly Cass), London (UK). REGISTRATION FEE AND REGISTRATION FORM Students*: € 470.00 Ph.D Students: € 610.00 University: € 1110.00 Commercial: € 1480.00 *To be eligible for full-time student prices, participants must provide proof of their full-time student status for the current academic year. Our standard policy is to provide all full-time students, be they Undergraduates or Masters, access to our student registration rates. Part-time master and doctoral students on the other hand, who are also currently employed will however, be assigned the standard academic registration fee. Fees are subject to VAT (applied at the current Italian rate of 22%). Under current EU fiscal regulations, VAT will not however applied to companies, Institutions or Universities providing a valid tax registration number. The number of participants is limited to 8. Places will be allocated on a first come, first serve basis. The course will be officially confirmed, when at least 5 individuals are enrolled. Course fees cover: teaching materials (handouts, Stata do-files, program templates and datasets to use during the course), a temporary course licence of StataNow™ valid for 30 days from the beginning of the course. Individuals interested in attending the training course, must return their completed registration forms to TStat by the 20th of September 2026. To request further information or the registration form, please fill in the following form or send an email to training@tstat.eu
The course has been developed to offer an overview of the most commonly used methods for analysing, modelling and forecasting the dynamic behaviour of time series data, offering practical examples of empirical modelling using real-world data. TStat Training’s live online training courses are offered interactively via Zoom with a qualified trainer in real-time. All materials (slides, datasets and Stata routines specifically developed for the course) are made available for download before the start of the course. The 2026 edition of this training course will be offered ONLINE on a part-time basis on the 1st-2nd of October and 8th-9th of October.
2026 Scholarships in Economics in memory of Fanno, Crivelli and Saccomanni
2026 Scholarships in Economics in memory of Fanno, Crivelli and Saccomanni Target: Students and researchers Category: Research support Call Open: 20 July 2026 - 2 November 2026 This initiative aims to nurture young talent and promote academic excellence at some of the world's most prestigious universities. Scholarship details UniCredit Foundation is offering 10 scholarships for doctoral studies in Economics (5 Marco Fanno, 3 Giovanna Crivelli and 2 Fabrizio Saccomanni scholarships), featuring: Total value: €65,000 gross for the entire duration of the scholarship, intended to cover tuition fees or living expenses Duration: 2 years, starting from the 2027/28 academic year. Among the selected candidates: At least one scholarship will be preferentially awarded to a candidate holding a degree obtained from an Italian university At least one, and preferably two scholarships, will be awarded to female candidates Two scholarships will be awarded to candidates interested in the fields of banking, financial regulation, and international and monetary economics. Key Dates Application deadline: 2 November 2026 Announcement of winners: by 1 February 2027 This initiative reflects UniCredit Foundation’s commitment to investing in young talent, supporting academic excellence, and fostering the next generation of economists and researchers. Download the announcement Apply Eligibility Who can apply? Applicants must: be under 28 years old on the publication date of the call; hold, or expect to obtain by 31 July 2027, a degree of at least three years’ education in Economics, Banking and/or Finance; have achieved excellent academic results; meet citizenship or university-location requirements related to the UniCredit footprint. Which countries are considered part of UniCredit’s footprint? The eligible countries are: Austria, Bosnia and Herzegovina, Bulgaria, Croatia, Czech Republic, Germany, Hungary, Italy, Poland, Romania, Serbia, Slovakia, and Slovenia. Do I need to be a citizen of one of these countries? Not necessarily. You may qualify if: you are a citizen of a UniCredit country; or you obtained your degree from a university located in a UniCredit country. Is there an age limit? Yes. Applicants must be under 28 years of age on the date the competition notice is issued. Can I apply if I have not yet graduated? Yes. You may apply if you are expected to obtain your qualifying degree by 31 July 2027. How recent must my degree be? Your most recent degree (for example, a Master’s degree) must have been awarded no more than three years before the publication date of the call. How is the “degree awarded no more than three years prior to the publication date of the call” requirement assessed? The three-year rule applies to the applicant’s most recent degree. For candidates who have completed both a Bachelor's and a Master's degree, the relevant date is the date on which the most recent qualification was awarded, i.e., the Master's degree. Therefore, eligibility is determined by whether the most recent degree was awarded no more than three years before the publication date of the call. Which academic field are eligible? Applicants must have completed studies in: Economics; Banking; Finance; or other closely related fields. My degree is not formally in Economics, Banking or Finance. Am I still eligible? Possibly. Candidates with degrees in closely related fields may be considered eligible, especially if their academic background and intended PhD studies are clearly aligned with Economics. For example, applicants holding degrees in quantitative disciplines such as Data Science, Statistics, Mathematics or Computational Sciences may be considered eligible if they intend to pursue a PhD in Economics. Eligibility is assessed on a case-by-case basis. Are language skills required? Yes. Applicants must demonstrate adequate proficiency in the language required by their chosen PhD program. Are applicants already enrolled in a Phd eligible? Yes, applicants already enrolled in a PhD program are eligible. However, the Scientific Committee will give priority to suitable candidates planning to enroll in the first year of a PhD program in Fall 2027. Can I receive this scholarship together with another scholarship? No. The scholarship is incompatible with any other scholarship that covers both tuition fees and living expenses. What if I receive another scholarship after being selected? You must immediately inform UniCredit Foundation if you receive any additional scholarship, financial support, or tuition-fee remission. If the additional support is incompatible with this scholarship, you will not be able to retain both awards.
UniCredit Foundation announces the opening of the competition for the award of 10 Scholarships to pursue a PhD in Economics for the 2027/28 academic year. The scholarships are dedicated to the memory of Marco Fanno, Giovanna Crivelli and Fabrizio Saccomanni.
International PhD in Economics in Japan. Coursework conducted entirely in English. Scholarships available.
The Ph.D. in Economics requires successful completion of 20 credits or more from offered courses and the successful proposal, submission and oral defense of a doctoral dissertation. Entry into the Ph.D. program typically presumes the student already has a two-year Master’s degree. As such, students ideally can finish their Ph.D. in three years at YNU. The Ph.D. program is organized around three areas of specialization: (A) International Economics; (B) Data Analytics; (C) International Political Economy. The intake period for the International Ph.D. Program in Economics is October and application begins in September of the previous year. The program was selected as one of the International Priority Graduate Programs (PGP) by MEXT (Japanese Ministry of Education, Culture, Sports, Science and Technology). MEXT will allocate scholarships and international travel funding to Japan for three students admitted in Fall 2026 and onwards. YNU will apply to renew these scholarships this year. It is easy to apply to our program and scholarships. You can apply via the Internet. In the first stage, we screen applicants based on documents submitted. We then conduct VoIP (Zoom, etc) Phone interviews in the second stage. There is no minimum GPA required. We require a minimum score of one of the following: TOEFL (4.0 under new scoring system), IELTS academic (6.5), or Duolingo (105). The English language requirement will be waived if you have completed your bachelor study or master’s degree study with English as the medium of instruction within the last 5 years in the following countries: US, UK, Ireland, Australia, New Zealand, Canada, or South Africa. Even if you completed your bachelor or master’s degree in English as the medium of instruction within the last 5 years in the other countries including India, the Philippines, Hong Kong, Singapore, etc., you are not exempt from the requirement. However, you can provide an official letter from the university certifying that English was the language of instruction instead of an official test score by a testing institution. Regarding the GRE, we look at the GRE Quantitative Reasoning scores only. The application fee is 5,000 Japanese yen. There is no need for you to come to Japan for handling these procedures until enrollment.
The Graduate School of International Social Sciences at Yokohama National University, located in the second largest metropolis in Japan, offers a Ph.D. program in economics taught entirely in English. The program provides students with academic knowledge and tools in economic theory and empirics of the highest global standards, and at the same time is well-grounded in policy-relevance. We seek motivated students from all over the world, who are eager to work as academic researchers, specialists or professionals in the international arena. Graduates have gone on to work for the World Bank, Universities, Global multinationals and more. Applicants generally have a Master's before entering and complete the PhD program in 3 years. Full scholarships may be available. Please inquire.
Yokohama National University, Department of Economics
Public Economics & Economic Policy (JEL H)
Economic Development, Innovation and Growth (JEL O)
Macroeconomics and Monetary Economics (JEL E)
Several part-time research assistants (30% and 50%) for our Research Centre - Empirical Microeconomics
Location: Frankfurt am Main Position: Part-time, temporary position (2 years) Job ID: 2026_0541_02 Valuable work: your role with us Your role will be to support the academic work of the Research Centre in the field of empirical microeconomics. You will be involved in the Research Centre’s survey projects, in particular. You will be responsible for preparing and analysing microdata, especially on the behaviour and expectations of firms. As part of an international team, your work will centre on fundamental issues, with the resulting insights intended to provide a sound academic footing for the Deutsche Bundesbank’s decisions. You will have access to excellent IT facilities and first-class data resources, and will have the opportunity to interact with leading international researchers. Unique assets: your skills and qualifications Master’s degree or equivalent qualification in a degree programme with a quantitative focus (e.g. economics or statistics) Soon to be enrolled in or already pursuing a PhD programme in economics, business administration or statistics Very good command of English In addition, desirable: Working towards a specialisation in empirical microeconomics Good knowledge of mathematical/statistical applications, especially Stata (or R) Applied knowledge in using microdata, preferably survey data Strong analytical skills Organisational skills as well as the ability to work both independently and as part of a team Good communication skills Knowledge of German Valuable work, generously rewarded Remuneration that corresponds to pay grade E 13 of the wage agreement for the public sector (Tarifvertrag für den öffentlichen Dienst – TVöD) plus a bank allowance, international working environment, varied tasks, extensive training opportunities, support for your PhD/doctorate degree. New work Extensive options for working from home within Germany (generally up to 60% of total working hours), friendly and respectful working environment, flexible and predictable working hours, work-life balance. Additional benefits Free Deutschlandticket as a JobTicket, good transport links (bus and train), central location, workplace health management scheme, staff canteen. In your application, please state whether you have already started a doctoral project or which specific plans exist in this regard. Interested in enriching our team? Then we look forward to receiving your application. If you still have questions that you would like answered before you apply, simply get in touch with the contact person(s) listed below. For questions about the application process Ms Sandra Johanning, +49 (0)69 9566 38302 jobs@bundesbank.de For questions about the role Dr Pawel Smietanka, +49 (0)69 9566 11445 Pawel.Smietanka@bundesbank.de Dr Tobias Schmidt, +49 (0)69 9566 33730 Tobias.Schmidt@bundesbank.de Please use job ID 2026_0541_02 to apply by 07 September 2026 using our online application tool. Apply now Submission end: 07.09.2026 Diversity and equal opportunities are important to us. Where candidates are equally qualified for the position, preference will be given to applicants with a disability. The Bundesbank also promotes gender equality in the workplace, especially when filling leadership positions. We therefore particularly welcome applications from women. Application tips Please apply as early as possible and do not wait until the end of the application period. This shortens the processing time after the application deadline and simplifies technical processing. Make sure that your documents are complete (cover letter, CV and certificates). Attach proof of all internships and courses mentioned in your CV. Make sure that scanned documents are clearly legible. Name attached files so that they can be clearly assigned to your application (e.g. Mustermann_Zeugnis2024).
The Deutsche Bundesbank is a special type of bank. Together with the ECB and the other euro area central banks, we ensure a stable euro. To achieve this, as well as other central bank tasks, we need a diverse range of specialists in a wide array of areas in order for the institution to function. Join us and become part of a strong team of reliable and responsible individuals. Several part-time research assistants (30% and 50%) for our Research Centre
You will work on health economics research projects with a methodological focus on causal identification. You will independently carry out the preparation, validation and analysis of (large) datasets and support, where applicable, the planning, implementation and evaluation of economic (field) experiments. You will present the results at national and international conferences and prepare them for publication in academic journals. You will work closely with colleagues within collaborative research projects and support the communication of research findings to the public. Furthermore, teaching students (e.g., giving tutorials, thesis supervision, seminar organization) is a central component of the position. The possibility of pursuing a doctorate is given and this is expressly encouraged. Please see the job description for details. We look forward to your application!
🎓 Join a dynamic health economics research team! The Institute of Health Economics (IHE) at Leibniz University Hannover (www.ihe.uni-hannover.de) welcomes applications for the following position, starting on 01 January 2027: 👉 PhD Student in health economics 📊 75% | salary scale 13 TV-L | initially limited to two years
CIMS Online Summer Schools: Foundations and Advanced of DSGE Macro Modelling
This is a Virtual Summer school (online) this year. Registration is now open for the CIMS summer school 2026. Register Here This year's Summer school will feature: Foundations of DSGE Macro Modelling The five-day course in Foundations of DSGE Modelling will run from 07-11 September 2026. The five days will consist of foundations courses aimed at early researchers with some knowledge of Real Business Cycle (RBC) or Dynamic Stochastic General Equilibrium (DSGE) macroeconomic models, but little or no experience of Dynare. This course assumes a basic knowledge of Matlab and will begin with the basics of Dynare and proceed to the construction, in stages, of a closed economy New Keynesian (NK) DSGE model. It will then progress to the estimation by Bayesian methods, the study of optimal monetary policy and finish with an extension to the open economy NK DSGE model. The course is aimed at MSc, MRes and PhD students, early researchers, and research staff from central banks, ministries and the private sector, all with some prior experience of macroeconomic modelling and a basic knowledge of Matlab. No prior knowledge of Dynare is necessary. Please note that all participants need to have their own copy of Matlab (https://www.mathworks.com/products/matlab.html) for the course on Foundations of DSGE Macro Modelling. There is a short-term license available for students which is worth checking: https://www.mathworks.com/campaigns/products/trials.html Advanced Macro-Modelling with Applications to Numerical Methods and Heterogeneous Agents The five-day course in Advanced Modelling will run from 14-18 September 2026. The advanced course is aimed at people who are already fluent in Dynare and Matlab, but are finding that their ambition currently exceeds what they are able to do with these tools. We will cover advanced numerical and computational methods to enable people to tackle non-standard models. This course will be useful to anyone who is engaged in practical macroeconomic modelling work, especially if they are interested in working with models that are either computationally expensive to simulate, nonlinear, or infinite dimensional thanks to heterogeneous agents, monetary policy, or optimal taxation and inequality. The course is aimed at MSc, MRes and PhD students, early researchers, and research staff from central banks, ministries and the private sector, all with some prior experience of macroeconomic modelling and a basic knowledge of Matlab. Please note that all participants need to have their own copy of Matlab (https://www.mathworks.com/products/matlab.html) for the course on Advanced Macro Modelling. There is a short-term license available for students which is worth checking: https://www.mathworks.com/campaigns/products/trials.html Online delivery method: The course will be conducted using the Microsoft Teams platform. The university and the lecturers are used to do online teaching and have state-of-the-art systems to do so and are able to deliver highly interactive experiences. Though we will do our best to record all sessions, we are expecting participants to attend them live to enable interactions between participants and lectures. Any and all questions are welcome. There will be opportunities to discuss the projects and research ideas of the participants. This will occur both informally as well as formally during the lecture or break time. After the summer school, lecturers will be available to answer questions and discuss the projects of the participants. Participants will be sent computer codes, lecture notes, and slides ahead of time. Participants will also receive direct assistance before the summer school starts in order to set up all the systems ahead of the online events. The summer school covers the theoretical aspects of the techniques. In addition, the summer school is very hands-on and participants will have carefully implemented exercises where they need to modify parts of the codes. This will be done in the lectures, both in groups and with the help of the instructors. The participants will receive solutions to all exercises and will be provided with computer codes that may then use in their own research..
Following highly successful Summer Schools in previous years, the Centre for International Macroeconomic Studies (CIMS) in the School of Economics, University of Surrey will hold two online summer schools on the Macroeconomics/DSGE School (Foundation and Advanced), from September 7 to 18, 2026. Foundations of DSGE Macro Modelling will consist of a five-day course running from 7 September to 11 September 2026. Advanced Macro-Modelling with Topics including Numerical Methods and Heterogeneous Agents will consist of a five-day course running from 14 September to 18 September 2026.
Visualizing Geospatial Data In Stata: Spatial Maps In Stata - Live Online Course
The creation of spatial maps has become a valuable tool for researchers interested in both the spatial data visualization and the identification of geographical patterns in the data. This interactive course therefore, offers an introduction to the mapping techniques currently available in Stata for visualization of geospatial data. The workshop opens with an overview of the peculiar characteristics of geospatial data, the implications of such for the analysis of such data and an overview of the special terminology used in this field, before moving on to discuss the concept of spatial proximity and its relevance to the visualization of spatial data analysis. The remainder of the workshop is dedicated to the principle mapping techniques, using a combination of both official Stata commands and a series of user written commands, currently adopted to visualize geospatial data in Stata. Participants will learn how to import geospatial data shapefiles in Stata and merge them with their existing Stata databases in order to create, compare and customize different mapping techniques. At the end of the course, participants will be able to autonomously implement (with the help of the Stata routine templates specifically developed for the workshop) the appropriate mapping methods, given both the nature of their spatial data and the analysis in hand, within their own research. TARGET AUDIENCE This online course is of particular interest for criminologists, social psychologists, sociologists, economists, epidemiologists and political scientists seeking to acquire the requisite tools required for the exploration and visualisation of spatial data in Stata. PREREQUISITES A knowledge of basic statistics (distributions of variables, position indices, dispersion indices) and the statistical software Stata is recommended. PROGRAM SESSION I: SPATIAL DATA 1. General characteristics of spatial data 2. Types of spatial objects 3. Spatial coordinate systems 4. Maps and shapefiles 5. The transformation of spatial databases SESSION II: SPATIAL PROXIMITY 1. Spatial distance 2. Spatial proximity matrices 3. Spatial lags 4. Spatial autocorrelation SESSION III: VISUAL ANALYSIS OF SPATIAL DATA 1. Visual analytics and data science 2. Thematic maps 3. Dot maps 4. Graduated symbol maps 5. Diagram maps 6. Choropleth Maps 7. Isarithmic Maps 8. Multivariate Maps SUGGESTED READING Anthamatten, P. (2021). How to Make Maps: An Introduction to Theory and Practice of Cartography. Abingdon: Routledge. Lambert, N. & Zanin, C. (2020). Practical Handbook of Thematic Cartography: Principles, Methods, and Applications. Boca Raton, FL: CRC Press. DATE AND LOCATION The next edition of this training course will be offered online on a part-time basis on the 30th of September from 9:00 am to 1:30 pm CET. COURSE LEADERS Professor Maurizio Pisati, University of Milano-Bicocca, Department of Sociology and Social Research, Milan (IT). REGISTRATION FEE AND REGISTRATION FORM Full-time Students*: € 155 Ph.D. Students: € 205 Academic: € 370 Commercial: € 495 *To be eligible for student prices, participants must provide proof of their full-time student status for the current academic year. Our standard policy is to provide all full-time students, be they Undergraduates or Masters students, access to student participation rates. Part-time master and doctoral students who are also currently employed will however, be allocated academic status. Fees are subject to VAT (applied at the current Italian rate of 22%). Under current EU fiscal regulations, VAT will not however applied to companies, Institutions or Universities providing a valid tax registration number. Register Here The number of participants is limited to 8. Places will be allocated on a first come, first serve basis. The course will be officially confirmed, when at least 5 individuals are enrolled. Course fees cover: I) teaching materials – copies of lecture slides, databases and Stata programs specifically developed for the course; ii) a temporary licence of StataNow™ valid for 30 days from the day before the course commences. Individuals interested in attending this course must return their completed registration forms by e-mail to TStat by the 20th of September 2026.
This interactive online course offers an introduction to the mapping techniques currently available in Stata for visualization of geospatial data. The next edition of this training course will be offered online on a part-time basis on the 30th of September.
Urban, Rural and Transportation Economics (JEL R)
Ulrich Bindseil Joins Frankfurt School as Professor of Practice in Financial Infrastructure
Frankfurt School of Finance & Management has appointed Ulrich Bindseil as a Professor of Practice in Financial Infrastructure, effective 1 September 2026. Bindseil, a distinguished figure in central banking and financial market infrastructure, is transitioning from the Technische Universität Berlin to strengthen the Economics & Law Department at Frankfurt School. His expertise encompasses payment infrastructures, cross-border transactions, and innovations in currency forms—including stablecoins and central bank digital currencies. This appointment is set to enhance both research and teaching initiatives in the Centre for Digital Economics (C4DE) and the Centre for Central Banking. Markus Reisinger, Head of the Economics & Law Department, expressed enthusiasm about Bindseil’s arrival, underscoring his extensive background in the digital economy and financial technologies. "He is a perfect fit for our department and the Frankfurt School at large," Reisinger stated. Co-Pierre Georg, Director of the Centre for Digital Economics, remarked on the timely nature of Bindseil's expertise, noting it aligns with the ongoing transformation of financial market infrastructures driven by new technologies. Recognized for his international leadership in monetary policy and regulatory frameworks, Bindseil previously served in key positions at the European Central Bank (ECB) and is also a respected author in the field. "I am delighted to join Frankfurt School, where I can help bridge central banking with digital innovations," said Bindseil, highlighting the school’s unique positioning during this pivotal growth phase in financial technologies. Read the full press-release: frankfurt-school.de
Frankfurt School of Finance & Management welcomes Professor Ulrich Bindseil from Technische Universität Berlin to bolster its Centres for Digital Economics and Central Banking from September 1, 2026. Bindseil, an expert in central banking and financial infrastructures, will enhance research and education, focusing on payments and monetary innovations like stablecoins and digital currencies.
Frankfurt School of Finance and Management
2026 Top-Up Fanno & Foscolo Fellowships Target: Students and researchers Category: Research support Date: 20 July 2026 - 30 October 2026 This initiative aims to attract and retain outstanding PhD graduates in Economics or Finance by enabling academic institutions to offer internationally competitive compensation packages, consistently with UniCredit Foundation mission to invest in talent and promote academic excellence in Europe. Fellowship Details UniCredit Foundation will award 7 Top-Up fellowships (2 Marco Fanno and 5 Ugo Foscolo), intended for university departments or research institutes in Economics or Finance located in countries where the UniCredit Group operates. The fellowships consist in salary top-ups aimed at supporting and recognizing outstanding researchers. Total value: €150,000 for each fellowship Duration: 3 years Eligibility Criteria To be eligible, applicants must meet the following criteria: Be departments or research institutes in Economics, Finance, or related fields Be located in one of the Countries where UniCredit Group operates Recruit outstanding job market candidates through internationally recognized selection processes, including participation in global PhD job markets such as the US job market or equivalent European placement processes Apply rigorous and transparent evaluation methods aimed at appointing exceptional early-career scholars to post-doctoral or tenure-track positions. Key Dates Application deadline: 30 October 2026 Announcement of winners: by 11 December 2026 This initiative reflects UniCredit Foundation’s commitment to investing in young talent, supporting academic excellence, and fostering the next generation of economists and researchers. Download the announcement Apply Eligibility Who can apply? Applications can be submitted by departments or research institutes active in Economics, Finance, or related fields. Can individual candidates apply for a fellowship? No. The fellowship is awarded to the institution which subsequently appoints the selected recipient through its own recruitment process. Can research institute (rather than a university department) apply? Yes, both university departments and research institutes in eligible countries may apply, provided they operate in Economics, Finance, or related fields and satisfy the eligibility requirements. Which countries are eligible for Fellowships? Eligible institutions must be in the countries where UniCredit operates: Austria; Bosnia and Herzegovina; Bulgaria; Croatia; Czech Republic; Germany; Hungary; Italy; Poland; Romania; Serbia; Slovakia; Slovenia. Is the United Kingdom eligible? No. The United Kingdom is not included among the eligible countries. Can institutions that received a fellowship in previous years apply again? The applicants have not been awarded either the Fanno Top-up or the Foscolo Top-up fellowship in the previous year (i.e. 2025). Contact Information For further information email: info@unicreditfoundation.org
UniCredit Foundation announces the opening of the Top-Up Fanno & Foscolo fellowships competition for students and researchers in Economics and Finance.
Postdoctoral Research Associate, PIIRS Postdoctoral Fellowship Program
Appointments will be made at the rank of Postdoctoral Research Associate and are for one year (12 months) with the possibility of renewal pending satisfactory performance and continued funding. Postdoctoral Research Associates are expected to be in residence at Princeton or the local vicinity for the entire academic year or demonstrate to the program’s satisfaction the ability to be on campus on a daily basis and on short notice in order to fulfill responsibilities relating to in-person participation. The position requires Postdoctoral Research Associates to be on campus at least four days per week. Leveraging Princeton's scholarly resources, fellows will focus on research, expand their intellectual horizons, and prepare work for publication. They will have biweekly meetings with the faculty director to share their work, and monthly meetings with faculty fellows from various social sciences to present their work and learn from others. Fellows are also encouraged to engage with colleagues and attend departmental seminars. Applicants must demonstrate outstanding scholarly achievement and promise. To be eligible, applicants generally cannot have more than two years of postdoctoral experience prior to the start of the appointment, at the beginning of the academic year on September 1, 2027. The postdoctoral selection will be made based on the strength of the candidates' scholarly record; the promise of the proposed research; and the ability to contribute to the intellectual life of the postdoctoral program (with interest in connecting with other PIIRS and Princeton departments on campus). In addition to a competitive salary and benefits, the program will provide the Fellow with the opportunity to host a small, pre-publication, book workshop; and a research fund of $4,000 per year. The program will also provide shared office space, and a laptop computer. Please apply at: https://apply.interfolio.com/189215. Further information can be found at https://piirs.princeton.edu/funding-fellowships/piirs-postdoctoral-fellows. This position is subject to the University's background check policy. The work location for this position is in-person on campus at Princeton University. Position is not eligible for sponsorship of an H-1B visa requiring consular processing; other visa sponsorships (including H-1B visas not requiring consular processing) may be available, as appropriate. Application Instructions Applications are due by September 15, 2026 (11:59 p.m. EST). The following application items should be uploaded by the applicant: *Cover letter *Curriculum vitae *Transcripts *Research Proposal indicating plans for two-year postdoc (maximum 5 pages double-spaced) *Dissertation abstract (including Table of Contents) *Writing sample: one chapter of the dissertation or one published article related to dissertation topic. *Document confirming either that you have completed all requirements for the PhD degree or a letter signed by your dissertation advisor indicating that you will complete the PhD by the start date of the fellowship. *The names and email addresses of three referees, who will be contacted automatically by the online application system with an invitation to upload their letter of recommendation to the system by the application deadline. (**Please note: all letters of reference should be submitted by your referees before September 15, 2026. deadline. **) Equal Employment Opportunity Statement Princeton University is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law.
The Princeton Institute for International and Regional Studies (PIIRS) at Princeton University is pleased to announce the call for applications to the PIIRS Postdoctoral Fellowship Program for the 2027-28 academic year. As a leading global institution in interdisciplinary research on international issues, PIIRS is dedicated to advancing innovative scholarship that addresses the world's most pressing challenges. The PIIRS Postdoctoral Fellows Program is integral to that mission. We will award up to four postdoctoral fellowships to our 2027-28 cohort. PIIRS seeks recent PhDs in the Social Sciences who have demonstrated exceptional scholarship, congruent with the Institute's intellectual focus, that simultaneously advances theoretical debates in their disciplinary field; creatively speaks to and engages with a multidisciplinary audience; and deepens substantive regional knowledge of specific places.
Up and Running in Stata - Live Online Training
TStat live online training courses are offered interactively via Zoom with a qualified trainer in real-time. All materials (slides, datasets and Stata routines specifically developed for the course) are made available for download before the start of the course. COURSE DESCRIPTION Up and Running in Stata provides participants with the necessary introductory toolset to enable them to carry out efficient data analysis and data management in Stata in a reproducible manner. The interactive course covers everything from the very basics, in order to get one up and running in Stata, to an overview of the available Stata commands for preliminary data analysis, data management, importing and exporting data formats, merging of databases and the creation of graphs in Stata. In common with TStat’s training philosophy, Up and Running in Stata is by its very nature to be considered very much a hands on approach to learning Stata course. Each individual session is composed of both a theoretical component and an applied segment, during which participants have the opportunity to implement the techniques illustrated under the watchful eye of the course tutor. COURSE ID: D-IN10-OL LANGUAGE: English TARGET AUDIENCE This interactive online course is invaluable to both professionals and researchers (working in Epidemiology, Business Studies, Marketing and Management, Biostatistics, Economics, Epidemiology, Medicine, Public Health, Social and Political Sciences and Statistics), wishing to use Stata for applied statistical analysis, data management or data visualization. PREREQUISITES Familiarity with PCs and a working knowledge of English. PROGRAM SESSION I: GETTING STARTED SESSION II: STATA FUNDAMENTALS SESSION III: CREATING SIMPLE STATA ROUTINES: DO FILES SESSION IV: IMPORTING DATA FROM SPREADSHEETS SESSION V: MERGING DATA BASES SESSION VI: GRAPHICS – AN INTRODUCTION SUGGESTED READINGS - Acock, A. (2023). A Gentle Introduction to Stata. Revised Sixth Edition. Stata Press Publication. - Kohler, U. & Kreuter, F. (2012). Data Analysis Using Stata. Third Edition. Stata Press Publication. - Mitchell, M. N. (2020). Data Management Using Stata: A Practical Handbook. Second Edition. Stata Press Publication. DATE AND LOCATION The next 2026 edition of this training course will be offered online on a part-time basis on the 19th-20th, 22nd-23rd of October from 9:30 am to 1:30 pm CET. REGISTRATION FEE AND REGISTRATION FORM Full-Time Students*: € 545.00 Ph.D. Students: € 710.00 Academic: € 1295.00 Commercial: € 1505.00 *To be eligible for student prices, participants must provide proof of their full-time student status for the current academic year. Our standard policy is to provide all full-time students, be they Undergraduates or Masters students, access to student participation rates. Part-time master and doctoral students who are also currently employed will however, be allocated academic status. Fees are subject to VAT (applied at the current Italian rate of 22%). Under current EU fiscal regulations, VAT will not however applied to companies, Institutions or Universities providing a valid tax registration number. The number of participants is limited to 8. Places will be allocated on a first come, first serve basis. The course will be officially confirmed, when at least 5 individuals are enrolled. Course fees cover: I) teaching materials – copies of lecture slides, databases and Stata programs specifically developed for the course; ii) a temporary licence of StataNow™ valid for 30 days from the day before the course commences. Individuals interested in attending this course must return their completed registration forms by e-mail to TStat by the 9th of October 2026. To request further information or the registration form, please fill in the form on our website or send an email to training@tstat.eu
Up and Running in Stata provides participants with the necessary introductory toolset to enable them to carry out efficient data analysis and data management in Stata in a reproducible manner. The next 2026 edition of this training course will be offered online on a part-time basis on the 19th-20th, 22nd-23rd of October from 9:30 am to 1:30 pm CEST.
GTAPinR Course "Running the GTAP Model using R packages HARr and tabloToR" General Information Dates: Open enrollment Learners can enroll in this course at any time. Once payment has been received and access to the learning management system has been granted, learners will have 56 days to complete the course before access ends. Since the course is self-paced, instructor assistance is not available during or after the course. No feedback or grading beyond automated assessments will be provided. Location GTAPinR is delivered fully online. There is no onsite component to this course. Offered by Center for Global Trade Analysis, Purdue University Enrollment Fees $625 Professional (Developed Country) $470 Professional (Developing Country) $315 Student (Developed Country) $160 Student (Developing Country) Why You Should Enroll Enhance your GTAP skills with open-source R tools designed to streamline simulation and analysis! Execute the GTAP Model directly in R - Learn how to run GTAP simulations end-to-end within the R environment using the open-source HARr and tabloToR packages Streamline data handling and model workflows - Gain practical skills in reading and writing GTAP data, solution files, and header arrays directly in R, enabling more efficient experiment setup and result processing Build practical skills for GTAP workflows - Build hands-on skills in GTAP workflows – setting closures, applying shocks, solving the model, and extracting results all in R environment Strengthen policy analysis with advanced visualization - Turn outputs into insight with R visualization workflows, improving interpretation, communication, and presentation of simulation results Flexible, self-paced learning for busy schedules - With open enrollment and a 56-day completion window, the course is designed to fit into busy schedules while providing structured modules, practical exercises and assessments Course Content This course aims to empower GTAP users with practical tools in R statistical software to enhance simulation analysis for policy making through improved processing of economic model outputs. The specific objective of this course is to introduce the R packages "HARr" and "tabloToR" which are open-source programs specifically designed to interface with the GTAP Model, as well as its outputs and inputs. The "HARr" package serves as a bridge between the GTAP Data Bases and the R environment by enabling the reading and writing of the header array (.har) file format adopted in the GEMPACK suite. The "tabloToR" package facilitates GTAP simulations by interpreting the model in GEMPACK-style TABLO (.tab) files and solves it within the R environment after the model inputs are defined. This course covers topics such as basic installation of the R packages, utilizing its features, as well as data visualization emphasizing practical, hands-on experience. This course is geared towards current users of the GTAP Model who are interested in running the model and processing its inputs and outputs within the R environment. Course Structure The course is delivered fully online and includes reading materials, codes, audio-visual lectures, hands-on exercises, and weekly assessments, all designed to enhance learning. As a self-paced online course, participants will work through the weekly plan of study outlined in the learning management system. Since the course is self-paced, instructor assistance is not available during or after the course. No feedback or grading beyond automated assessments will be provided. Learners will have 56 days from the date access to the learning management system was granted, to complete the course before access ends. Content Overview Module 1 - Getting Started with GTAPinR Module 2 - Reading and Writing Databases with HARr Module 3 - Solving the Model with tabloToR Module 4 - Wrap-Up and Evaluation Time Commitment Participants should expect to spend approximately 2-6 hours per module on this course. Prerequisites Participants are expected to know how to run the GTAP Model and be familiar with the inputs used in running the model. Participants are also expected to know how to use R statistical software. Enrollment Individuals interested in enrolling in this course must register on the GTAP website, after which they will be provided details for making payment by bank transfer or credit card. Once payment has been received and access to the learning management system has been granted, learners will have 56 days to complete the course before access ends.
Enroll in the GTAPinR Course to enhance your GTAP skills with practical tools in R statistical software for policy making.
2027 Short Course in Dynamic Global Trade Analysis
2027 Short Course in Dynamic Global Trade Analysis "Applied General Equilibrium Analysis using a Dynamic Multi-Region Model" General Information Course Dates (Course phases are not offered independently.) Phase 1 (Online): January 18 - February 28, 2027 Phase 2 (Onsite): March 8-12, 2027 Application Deadline August 30, 2026 Location Purdue University, 403 Mitch Daniels Blvd., West Lafayette, Indiana 47907 USA Offered by Center for Global Trade Analysis, Purdue University Enrollment Fees $5,000 USD Professional (Developed Country) $3,750 USD Professional (Developing Country) $2,500 USD Student (Developed Country) $1,250 USD Student (Developing Country) Why You Should Apply Move Beyond Static Analysis: Model the Global Economy Dynamically! Master dynamic CGE analysis with the GTAP-RD framework - Analyze how the impact of trade and climate policy shocks unfold over time. Develop the skills to design, run, and interpret recursive dynamic simulations using GTAP-RD Models. Address High-Impact Global Policy Challenges - Sharpen your skills to produce policy-relevant analysis. Apply your modeling toolkit to mentored capstone projects focused on real-world impacts of major trade blocks and climate frameworks. Implement real-world baseline scenarios - Learn how to construct business-as-usual baselines using Shared Socioeconomic Pathways (SSPs), projections, and dynamic closures for credible long-run policy analysis. Build proficiency in the dynamic software - Gain extensive hands-on experience with RunDynam through guided labs that translate conceptual model features into operational workflows for scenario setup, policy execution, and result analysis. Learn directly from GTAP experts - Combine flexible online preparation with an immersive onsite residency at Purdue University, collaborating with peers and GTAP experts to deepen understanding and refine your own applications. Course Content The objective of this course is to introduce participants to dynamic economic analysis in an applied general equilibrium setting. This course is designed to provide participants with ample hands-on training with software that has been tailored for undertaking analysis using a dynamic recursive model. Participants will interact with economists working on global trade and environmental issues using a dynamic framework. The end goal of the course is for participants to leave with the capability of conducting and analyzing their own dynamic simulations. Course Structure The GTAP Dynamic Short Course is comprised of an online instruction phase followed by an intensive onsite course delivered by a team of GTAP specialists in data, model construction, and policy analysis. Note that the online and onsite phases of the course are not offered independently. Prerequisites It is expected that applicants have undertaken courses on multi-region general equilibrium analysis (such as the standard GTAP Short Course) or have completed a significant piece of analysis using a dynamic multi-region GE model or another, comparable general equilibrium model. Evidence of the latter (e.g., citations or links to papers, reports, and/or presentations) should be included with application. Application Individuals interested in taking this course must apply on the GTAP website. All applications will be reviewed following the deadline. Those accepted into the course will receive an email including an invitation letter and details for registration and payment. Note that application does not guarantee acceptance.
Join the GTAP Dynamic Short Course at Purdue University for a comprehensive exploration of dynamic economic analysis.
Research & Teaching Assistant (Finance) m/f/d | Part-Time (70%)
What you can look forward to: - A “we, not me” culture – a highly collaborative, team-oriented work atmosphere with open and honest communication - A “can do” spirit – we are looking for people who want to make a difference - Exciting research projects for doctoral studies and intensive exchange with the supervising professors - Close integration of theory and practice Your responsibilities - Conduct quantitative data analysis, support empirical research projects, and manage, clean, and analyze survey and field data using statistical software - Apply artificial intelligence (AI), blockchain, and digital technologies to support innovative research projects, particularly in agricultural and related fields - Collaborate with researchers, prepare research materials, and ensure accurate documentation of research findings - Support the preparation, supervision, and delivery of courses, tutorials, and guidance for bachelor’s and master’s theses - Contribute to scientific and practice-oriented publications, academic collaborations, and the communication of research results Your profile - A strong Master’s degree (good to very good) in Economics, Mathematics, Computer Science, or a closely related quantitative discipline, demonstrating solid analytical, statistical, and methodological expertise - Strong quantitative and analytical skills with experience in empirical research and statistical analysis - Proficiency in statistical software such as MATLAB, R, Stata, or similar programming tools - Experience with randomized controlled trials, field survey data, and research methods in development economics - Highly motivated, responsible, and independent researcher with the ability to work effectively in an academic environment We seek the best candidates. In doing so, we value personality, talent, determination, and character. We expressly emphasize that all individuals—regardless of gender, nationality, ethnic or social background, religion/ideology, disability, age, or sexual orientation—are equally welcome. Applicants with disabilities will be given preferential consideration if equally qualified. For inquiries, please contact Prof. Raša Karapandža, Ph.D. | Rasa.Karapandza@ebs.edu | Telefon: +49 (0) 6723 9168 - 244 Become part of our team and apply online, stating your earliest possible start date and reference number 16584. EBS University of Business & Law | Human Resources | hr@ebs.edu Visit us at: www.ebs.edu/de/stellenangebote
Enrich EBS. We are a private university dedicated to educating tomorrow’s leaders who strive to make a difference in the world -economically, socially, and ecologically. We aim to help shape global transformation through outstanding knowledge transfer and the promotion of strong interpersonal skills. At EBS Business School, EBS Law School, and EBS Executive School, a total of 2,200 students and professional development participants engage in learning and research. With our education philosophy of Challenge-Based Learning, personalized coaching, extracurricular engagement, and a powerful alumni network, EBS holds a unique position in the German higher education landscape. We are part of SRH—a leading provider of education and healthcare services with 17,000 employees. SRH operates private universities, educational centers, schools, and hospitals. We are looking for a research assistant (m/f/d) for the Chair of Finance (Prof. Raša Karapandža Ph.D.) at EBS Business School, starting September 1st, 2026.
ICF is one of the UK's leading public policy consultancies, supporting government departments, regulators and public bodies to develop evidence-based policy and make better decisions. Our economists work alongside policy researchers, evaluators and subject matter experts to provide robust economic analysis that informs policy development, appraisal, evaluation and investment decisions. Our economics team delivers economic evaluation, value for money (VfM) analysis, cost-benefit analysis, impact assessment, economic appraisal, business case development and bespoke economic analysis. We work on issues at the top of today’s policy agenda, including economic growth, energy, telecoms, security, the impact of new technologies, and better regulation. Economic analysis in support of assignments for one or more of DESNZ, BIST (DBT), DCMS and Defra will be a particular focus of your work, alongside ICF's wider public sector portfolio. About the role The Lead Consultant (Economist) role is required to strengthen ICF's senior economic leadership and technical delivery capability in response to sustained demand for economic analysis across evaluation and advisory projects. The role will help ensure that economics expertise is embedded across evaluations and wider analytical work. What you'll do From day one, you will have the opportunity to help win, manage and deliver a diverse range of economic analyses for UK public sector clients. You will be a core member of our growing and collegiate team and work in an international environment in which more than 30 nationalities are represented. You will be contributing innovative ideas and practices to the business, helping achieve excellent, cutting-edge economic analysis and expanding ICF’s work into new areas. You will have the chance to develop your knowledge and skills through excellent training and development opportunities, including via ICF’s peer-to-peer communities of practice. Your main responsibilities will be to: Lead complex economic evaluation and advisory projects. Provide technical quality assurance. Lead bids and strategic client relationships. Develop new economics opportunities. Mentor economists and grow capability. What you'll need to succeed You will thrive in a fast-paced environment. You will have a wide range of interests and be able to develop a nuanced understanding of complex economic issues. You will have a proven track record in leading consulting assignments, economic/VfM evaluations, and/or other economic analysis projects. You will be self-motivated and able to manage a varied workload to deadlines without compromising quality. Your experience could have been gained in consulting, government, a regulatory agency, academia, or the private sector. You will have: Degree in economics or quantitative discipline. At least ten years' relevant experience. Recognised technical leadership. Strong business development and people management experience. Desirable experience Economic evaluation, value for money analysis, appraisal or cost-benefit analysis. HM Treasury Green Book, Magenta Book and Aqua Book. Economic modelling and quantitative analysis. Experience in one or more of DESNZ, DBT. About us: Working at ICF means applying a passion for meaningful work with intellectual rigor to help solve the leading issues of our day. Smart, compassionate, innovative, committed, ICF employees tackle unprecedented challenges to benefit people, businesses, and governments around the globe. We believe in collaboration, mutual respect, open communication, and opportunity for growth. We can only solve the world's toughest challenges by building an inclusive workplace that allows everyone to thrive. We are committed to creating a culture where we embrace our differences in ideas and identities. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. The benefits of joining ICF: Our people at ICF are our most important asset, so we invest in them from the moment they arrive. When you join our team, you’ll have access to a vast array of benefits to help you live your life well. We offer a hybrid working policy, which will provide you with the flexibility to collaborate in the office, as well as in the comfort of your own home, ensuring you are able to successfully deliver the requirements of your role. To support you, our employee wellbeing hub is designed to provide highly personalised support across a comprehensive range of wellbeing issues, such as mind, body, finances, community, career programs and HR support. We enjoy celebrating success, which is why we have a competitive recognition program called ‘You Matter’, which awards points as a ‘thank you’ for your work achievements. These can be spent on a large variety of high-quality items, as well as online or high-street vouchers, all with zero tax payable by the employee. ICF also offers a range of competitive benefits, which include: Single Private Medical Insurance cover with no restrictions on existing conditions. Dental insurance and an online GP service. 25 days annual leave, plus UK bank holidays (annual leave increases with years of service). Pension scheme with 5% of salary employer contribution. Life assurance paying 4x annual salary and Group Income Protection paying 66% of salary for up to 5 years if you are off work on long-term sick. Enhanced parental leave policies, enhanced maternity, paternity, adoption, and shared parental pay. Candidate AI Usage Policy At ICF, we are committed to ensuring a fair and equitable interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in-person or virtual) is not permitted. This policy is in place to maintain the integrity and authenticity of the interview process. However, we understand that some candidates may require accommodations that involve the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at candidateaccommodation@icf.com. We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed.
We are looking for a Lead Consultant (Economist) to join ICF's growing economics function within our UK Policy Research, Evaluation and Strategy (PRES) team.We are looking for a Lead Consultant (Economist) to join ICF's growing economics function within our UK Policy Research, Evaluation and Strategy (PRES) team.