Automating Your Research in Stata: A Little Bit of Programming Goes An Awfully Long Way! - Live Online Training
COURSE DESCRIPTION This course aims to provide participants with the fundamental Stata programming toolkit in order to facilitate, automate, replicate and personalize both data analysis, management and presentation. As such, session 1 reviews some general Stata commands, illustrating how they can be combined with some powerful Stata programming constructs for looping and branching. The course then moves on to focus on how the programming concepts of Macros, Loops, and Branching, can be implemented to effectively write, modify and develop do files (user written Stata programs). In common with TStat’s course philosophy, each session is composed of both a theoretical component (in which the programming techniques are fully explained via a series of course specific developed examples), and an applied (hands-on) segment, during which participants have the opportunity to implement the techniques under the watchful eye of the course tutor. At the end of the course, it is expected that participants are able to personalize existing Stata commands and develop their own do files in order to organize their workload in a more automated, efficient, flexible and reproducible manner. TARGET AUDIENCE Researchers or professionals with previous programming skills in other software wishing to work effectively in Stata. Existing Stata users wishing to acquire the “standard” Stata programming toolkit in order to implement basic programming techniques to effectively automate a substantial part of their empirical data analysis. PREREQUISITES It is expected that individuals wishing to follow this course have a sound working knowledge of Stata. Participants are not however, required to have any programming experience in Stata or in other statistical packages. PROGRAM SESSION I: ORGANISING, MANIPULATING AND VISUALIZING YOUR DATASETS WITHIN A DO-FILE – A REVIEW SESSION II: STATA CONSTRUCTS FOR DO-FILES PROGRAMMING SESSION III: AUTOMATION DO-FILE PROGRAMMING IN PRACTICE – MAKING LIFE EASIER! SESSION IV: AUTOMATING THE TRANSFER OF STATA RESULTS TO EXTERNAL SOFTWARES – STATA’S MATRIX CAPABILITIES COURSE REFERENCES Baum, C.F., (2016). An Introduction to Stata Programming Second Edition, Stata Press Publication. DATE AND LOCATION The 2026 edition of this training course will be offered online on a part-time basis on the 26th of October from 2:30 pm to 6:00 pm and the 27th, 28th of October from 10:00 am to 2:30 pm, Central European Time (CET). REGISTRATION FEE AND REGISTRATION FORM Full-time Student*: € 485.00 Full-time PhD Student: € 635.00 Academic: € 1155.00 Commercial: € 1350.00 *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 16th of October 2026. To request further information or the registration form, please fill in the following form or send an email to training@tstat.eu
This online course aims to provide participants with the fundamental Stata programming toolkit in order to facilitate, automate, replicate and personalize both data analysis, management and presentation. 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 26th of October from 2:30 pm to 6:00 pm and the 27th, 28th of October from 10:00 am to 2:30 pm, Central European Time (CET).
Econometrics, Statistics and Quantitative Methods (JEL C)
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.
Multidisciplinary & Independent studies * Accounting * Arts * Business & Enterprise * Culture, Heritage, Art * Demography & Population * Economics * Environment * European Union * Education * Entrepreneurship * Finance * Food, Gastronomy & Tourism * Health, Safety & Security * International Business * Language * Management * Marketing * Philology & Language Studies * Social Business * Social Sciences * Tourism * Teaching Globalization Studies Contemporary Discussions/Issues in Social Science All papers & abstracts will be published in the Conference Proceedings with ISBN. Both with on-site and virtual participation.
MIRDEC 27th Barcelona 2026 Conference International Academic Conference - ONSITE & ONLINE CONFERENCE Economics, Business and Contemporary Discussions in Social Science
Masters International Research and Development Center
Economic Development, Innovation and Growth (JEL O)
Macroeconomics and Monetary Economics (JEL E)
Agricultural and Environmental Economics (JEL Q)
Public Economics & Economic Policy (JEL H)
Urban, Rural and Transportation Economics (JEL R)
Call for Research Projects 2026 “Women and Science”
In 2026, the Women and Science Chair launches its eighth call for research projects, aimed at the entire academic community without any restrictions in terms of disciplines or in terms of methodology (field studies, modeling, empirical studies, experimental approaches, etc.). This year, 5 to 7 research projects will be selected and receive support of up to € 10,000. Projects submitted under this call may address any of the research themes covered by the Women and Science Chair (see below). However, the selection committee will give particular attention to the themes identified as priority areas for the 2026 Call for Projects: Stereotypes and scientific socialization: the mechanisms through which STEM-related stereotypes are formed and reinforced from early childhood and throughout the life course. Women and digital technologies: women’s participation in digital fields and artificial intelligence; the transformation of occupations; gender bias in technological systems; AI and selection/recruitment processes in STEM education and careers; women’s uses and experiences of AI. The role of social media in the gendered construction of scientific aspirations and career choices, as well as in shaping stereotypes related to women and STEM. Pedagogy and knowledge transmission: the role of teaching methods and educational practices in shaping educational choices, promoting inclusion, and fostering scientific aspirations. Analysis and evaluation of public policies and civil society initiatives (in schools, among students, teachers, and other stakeholders) aimed at reducing gender disparities in science, particularly within the framework of the Girls and Mathematics national action plan. Determinants of educational and career choices in scientific fields, including the relationship between study pathways and career aspirations (e.g., remuneration, public versus private sector opportunities, working conditions and work-life balance). Gender, science, and society: health, climate, and societal transitions; the role and representation of women in scientific fields with significant societal impact; and the respective contributions of families, educators, policymakers, opinion leaders, and particularly men, in fostering a more equitable society. Particular interest will also be given to projects involving researchers from different disciplines (management science, sociology, economics, mathematics, etc.) and/or involving international analyzes and comparisons. By submitting an application, project leaders undertake, if they are selected, to participate in one or more events of the Chair, to produce a short video on their work and to write a short presentation of the conclusions of their works (in French or English) accessible to a wide audience. Selected projects and related publications must mention the support of the Chair. A researcher can only receive one time the financial support of the Chair. The deadline for the submission of applications to this call for research projects is September 28, 2026. For more information about the Women and Science Chair, you can visit this link. How to apply to the call for projects Application Projects conducted by senior researchers (who have already obtained a doctorate and published research papers) are eligible, regardless of nationality, place of practice or discipline. The call for projects is published on SSRN and INOMICS. Application files must be submitted directly to INOMICS platform by September 28, 2026 at midnight (Paris time). For more information, you can send an email to à aida.hamdi@dauphine.psl.eu . Each application will be written in French or in English and will consist of the following elements: A title, Summary (½ page), Positioning of the subject and review of the literature (1 page), Contextual elements (does the project have already started, is the research project based on particular studies or experiments?) (½ page), Methodology and calendar (1page), List of participants and the financing needs of the project with details of the different type of expenses (½ page), A short bibliography, The CV of the project leader (mandatorily a senior researcher). Each application file must include a summary page following the template provided in the appendix. Selection The members of the steering committee of the Women and Science Chair, as well as the members of the scientific committee, will evaluate the applications. The selection criteria are: the adequacy of the project with the themes of the call for projects, the scientific excellence of the project, the feasibility of the project within reasonable deadlines, the quality of the team of researchers involved, the innovative dimension of the project, the diversity of approaches and involved disciplines, the scope of the expected results, where appropriate, transdisciplinarity and parity of the research team. The selection committee will ensure, as far as possible, a good geographic representation of all the projects funded by the Chair. Calendar September 28, 2026 midnight (Paris time): Closing of the call for projects October-November 2026: Evaluation of the applications December 2026: Announcement of selected projects and signing of agreements. Members of the Scientific Committee of the Women and Science Chair - Elyès Jouini, Professor, Paris-Dauphine University - PSL - Thomas Breda, CNRS Research Fellow, Paris School of Economics and Institute of Public Policies - Marie-Pierre Dargnies, Professor, Lille University - Dominique Meurs, Professor, University of Paris Nanterre, associate researcher at INED and the Institute of Public Policies - Sophie Pochic, Research Director at the CNRS, member of the Center Maurice Halbwachs, ENS-EHESS - Claudia Senik, Professor, Sorbonne University and Paris School of Economics PSE General themes of the Women and Science Chair Impact of not taking gender into account in the design of scientific studies, Impact of the absence or under-representation of women in scientific sectors (STEM) on the quality of research and strategic decisions, Career trajectories, career and wage gaps intra-company or cross-companies by sector (for example, in medicine, data analysis, artificial intelligence, industry, etc.) Supply and demand in scientific tracks (SYEM), Evaluation of public policies or experiments and international benchmarks, Determinants of the lower representation of women in scientific tracks and careers (STEM): Impact of the environment: social representations, parents, teachers, role of men, their views on the place of women in science, opinion of male scientists on gender equality in their profession, family life Links between choice of courses/tracks and school performance, Self-confidence, risk aversion and decision, Identification of rupture/dropout zones. Appendix: Summary sheet required for each application file. Title Project leader and affiliation Team members and their affiliations Problem statement (max 3 lines) Requested amount Project duration Use of AI in the proposal
The Women and Science Chair at Paris Dauphine-PSL University, aims to mobilize and develop multidisciplinary approaches to analyze the determinants and the impact of the low presence of women in scientific studies and careers (mathematics, computer science, natural sciences and technology). The Women and Science Chair is member of the UNESCO chairs network, created with the support of the L'Oréal Foundation, Generali, La Poste, Amundi and Descours Family, in partnership with the Institute of Public Policies and Institut Louis Bachelier. To this end, the Chair associates research centers and researchers both in Dauphine University and outside Dauphine. It mobilizes methods and tools from several disciplines, in particular economics (risk economics, microeconomics, applied economics, experimental economics), decision theory and mathematical modeling, sociology, management and social psychology. Since 2019, the chair has received 446 proposals and has funded 42 research projects from Europe, North America, South America, Africa, Australia and Asia.
EcoMod ONLINE - Introduction to General Equilibrium Modeling using GAMS
Date: January 1, 2026 - December 31, 2026 EcoMod ONLINE expands the EcoMod School’s offerings to a flexible, accessible learning environment designed for professionals worldwide. Our online programs cover the major economic policy challenges facing governments, central banks, international organizations, and research institutions. Key topics include sustainability, energy, climate change, monetary and fiscal policy, taxation, labor markets, development, pensions, health, social protection, gender, agriculture, tourism, water, and regional economic issues. Through EcoMod ONLINE, participants learn how to design, develop, and apply quantitative economic models for scenario analysis, impact assessment, forecasting, and policy simulations. All courses are asynchronous—allowing you to study at your own pace and from any location—while maintaining the rigor, structure, and practical orientation that define EcoMod training. Instruction is delivered by senior experts with extensive hands-on experience as heads of modeling units and research divisions in major institutions. Course Open - EcoMod ONLINE - Introduction to General Equilibrium Modeling using GAMS This immersive online course enables participants to master Computable General Equilibrium (CGE) modeling using GAMS, following the successful EcoMod framework—an internationally recognized standard in applied economic modeling. Participants will build models from the ground up, developing practical skills in partial and general equilibrium analysis, household behavior, production technologies, macro‐economic policy, government interventions, labor markets, savings-investment dynamics, and international trade. Advantages of EcoMod ONLINE Learn from anywhere, at any time, with full flexibility for professional schedules Progress at your own pace through structured, high-quality modules Access the same level of expert instruction as our in-person schools Apply learning immediately through real datasets, models, and hands-on exercises Join a global network of peers and experts across institutions and regions EcoMod Legacy and Expertise EcoMod ONLINE builds on the EcoMod Network’s 25-year legacy as the global leader in training on CGE, macroeconometric, financial, and environmental modeling. The EcoMod School of Modeling and Data Science is recognized worldwide for its step-by-step, practice-oriented teaching methodology, enabling participants to construct and work with operational models under expert guidance. Our ONLINE courses preserve this proven learning approach through carefully designed modules, practical exercises, and real-world model applications. EcoMod also maintains the largest alumni network in the world in this specialized field, with participants from more than 2,000 institutions in 180 countries. By joining EcoMod ONLINE, you become part of this global community of policymakers, economists, and analysts who rely on EcoMod’s training to support evidence-based decision making. Header Image Credit: Unsplash / Additional Image Credits: Ecomod
Join a Global Community of Modeling Professionals through the EcoMod ONLINE program.
Research Assistant (m/w/d) im Bereich empirische Makroökonomik in Teilzeit (50 %)
Arbeit von besonderem Wert: Ihr Einsatz bei uns Im 6-köpfigen Team „Grundsatzfragen- und Forschungsgruppe“ arbeiten Sie an der Schnittstelle zwischen Wissenschaft und nationaler sowie internationaler Politikberatung und erhalten Zugang zu einer sehr guten IT (Informationstechnologie)-Ausstattung und Daten-Umgebung. Der Schwerpunkt Ihrer wissenschaftlichen Arbeit liegt dabei auf der empirischen Makroökonomie. Sie führen eigenständig Datenrecherchen, die Modellierung von Zeitreihen sowie multivariate statistische Analysen und panelökonometrische Auswertungen durch. Darüber hinaus pflegen, verwenden und erweitern Sie vorhandene ökonometrische Analysetools und Mikrosimulationsmodelle. Sie bereiten empirische Ergebnisse adressatengerecht auf und leisten damit einen Beitrag zum Meinungsbildungs- und Entscheidungsprozess in der Deutschen Bundesbank. Besondere Werte: Ihre Qualifikationen Master oder gleichwertiger Studienabschluss in Wirtschaftswissenschaften, Mathematik oder Statistik In Kürze beginnendes oder laufendes Promotionsstudium im Bereich Wirtschaftswissenschaften, Mathematik oder Statistik Sehr gute englische und deutsche Sprachkenntnisse Darüber hinaus wünschenswert: Sehr gute Kenntnisse gängiger ökonometrischer Verfahren (z.B. Zeitreihen, Paneldaten, maschinelles Lernen) Sehr gute Kenntnisse mathematisch-statistischer Anwendungen (z.B. Matlab, R, EViews, Stata, Python) Kenntnisse im Bereich der öffentlichen Finanzen, sowohl aus theoretischer als auch aus institutioneller Sicht Ausgeprägte Fähigkeit zur Analyse, Bewertung und adressatengerechten Darstellung komplexer Sachverhalte Eigenständige und zugleich teamorientierte Arbeitsweise Sehr gute kommunikative Fähigkeiten Bitte legen Sie in Ihrer Bewerbung dar, ob Sie bereits ein Promotionsvorhaben begonnen haben oder welche konkreten Pläne diesbezüglich bestehen. Wertvolle Arbeit verdient besondere Vorteile Vergütung & Perspektiven: Vergütung in Anlehnung an den TVöD, zzgl. Bankzulage, internationales Arbeitsumfeld, umfangreiches Weiterbildungsangebot, Förderung Ihrer Promotion New Work: Homeoffice-Möglichkeiten innerhalb von Deutschland, gute technische Ausstattung (z.B. Smartphone, Notebook), flexible und planbare Arbeitszeiten Zusatzleistungen: kostenloses Deutschlandticket als Jobticket, gute Verkehrsanbindung (Bus und Bahn), zentrale Lage, Betriebsrestaurant Wollen Sie unser Team bereichern? Dann sind wir schon sehr gespannt auf Ihre Bewerbung. Falls Sie im Voraus noch Fragen haben, wenden Sie sich einfach an die zuständige Ansprechperson. Ihre Fragen zur Bewerbung: Sandra Johanning 069 9566-38302 jobs@bundesbank.de Ihre Fragen zum Aufgabengebiet: Dr. Nikolai Stähler 069 9566-32865 Vielfalt und Chancengleichheit sind uns wichtig. Schwerbehinderte Menschen werden bei gleicher Eignung bevorzugt berücksichtigt. Auch fördert die Deutsche Bundesbank die berufliche Gleichstellung von Frauen und Männern insbesondere bei der Besetzung von Führungspositionen. Daher begrüßen wir besonders Bewerbungen von Frauen.
Die Deutsche Bundesbank ist eine besondere Bank: ein integraler Bestandteil des Europäischen Systems der Zentralbanken mit bedeutender Funktion in der Finanzstabilität, Bankenaufsicht, Geldpolitik und im Zahlungsverkehr in Deutschland. Allem voran jedoch sind wir ein starkes Team aus zuverlässigen und verantwortungsbewussten Menschen, die mit ihrer täglichen Arbeit die Voraussetzungen für einen stabilen Euro und eine funktionierende Wirtschaft schaffen. Finden auch Sie bei uns Ihre verantwortungsvolle Aufgabe! Research Assistant (m/w/d) im Bereich empirische Makroökonomik in Teilzeit (50 %) befristet bis 31.12.2028 Stellen-ID: J000000206 Dienstort: Frankfurt am Main Beschäftigungsgrad: Teilzeit 0,5 Befristung: Befristet Bewertung/Vergütung: E 13 (abhängig von Ihrer Erfahrung ca. 32.900 € bis 47.500 €)
Professor David Cuberes to Lead Department of Economics at Maynooth University
Maynooth University has announced that Professor David Cuberes will take up the role of Head of the Department of Economics effective September 1, 2026. This announcement came on August 31, 2026, marking a new chapter for the department. Professor Cuberes is an internationally recognized economist whose research interests include urban economics, economic history, and economic growth. His work has scrutinized various aspects of city development across different nations, the impact of wars on urban populations, and household location decisions within cities. He has also studied issues such as gender inequality, democratic processes, and economic volatility. He holds degrees from the Universitat Pompeu Fabra in Barcelona and the University of Chicago, and has served in academic positions at several universities, including Clemson University and the University of Sheffield. In addition, he has advised prominent organizations like the World Bank and the International Monetary Fund. The university expressed its gratitude to outgoing Head, Dr. Aedín Doris, for her contributions and leadership in enhancing the department's reputation and commitment to excellence in research and teaching. Read the full press release: maynoothuniversity.ie Find out more about Prof. David Cuberes on his Maynooth profile page or on his personal website.
Maynooth University has announced the appointment of Professor David Cuberes as the new Head of the Department of Economics, effective September 1, 2026. He succeeds Dr. Aedín Doris. Professor Cuberes is known for his research in urban economics and economic growth.
2026 Economic Job Market Best Paper Award
Target: Students and researchers Category: Research support Date: 20 July 2026 - 12 October 2026 The Award aims to promote excellence in economic research by recognising outstanding Job Market papers and enhancing the visibility of the most talented young economists as they enter the international academic job market, in line with UniCredit Foundation’s mission to invest in talent and support the next generation of researchers. Award Details UniCredit Foundation will award 5 prizes of €1,000 gross each. The Award is granted directly to individual candidates, irrespective of their nationality or the university at which they are enrolled. Preference is given to single-authored papers demonstrating high levels of originality and publication potential. Key Dates Application submission deadline: 12 October 2026 Announcement of winners: by 20 November 2026 Download the announcement For further information email: info@unicreditfoundation.org Apply Here Eligibility Who is eligible to apply? Applicants must be PhD candidates or PhD graduates that will participate to the European Job Market for Economists 2026. Is registration for the European Job Market for Economists required? Yes. Registration for the European Job Market for Economists 2026 is a mandatory eligibility requirement. Applicants must provide evidence of participation, such as a confirmation email or a screenshot of the relevant registration or participation webpage. Can recent PhD graduates apply? Yes. Both PhD candidates and recent PhD graduates who are participating in the EJM 2026 may apply. Can applicants from non-European universities participate? Yes. Eligibility is not restricted by geographic location or university nationality, provided the applicant is participating in the European Job Market for Economists 2026.
UniCredit Foundation announces the launch of the 13th edition of the Economic Job Market Best Paper Award, promoted in collaboration with the European Economic Association.
Wissenschaftliche*r Mitarbeiter*in Wirtschafts- u. Beschäftigungsanalysen im technologischen Wandel
Das Fraunhofer IKTS betreibt anwendungsorientierte Forschung für Hochleistungskeramik. Die drei Standorte in Dresden und Hermsdorf (Thüringen) formen das größte Keramikforschungsinstitut Europas. Als Forschungs- und Technologiedienstleister entwickeln wir moderne keramische Hochleistungswerkstoffe, industrierelevante Herstellungsverfahren sowie prototypische Bauteile und Systeme in vollständigen Fertigungslinien bis in den Pilotmaßstab. Darüber hinaus umfasst das Portfolio die Kompetenzen Werkstoffdiagnose und -prüfung. Das Center for Economics and Management of Technologies (CEM) des Fraunhofer-Instituts für Keramische Technologien und Systeme IKTS am Standort Halle (Saale) verbindet wirtschaftswissenschaftliche Forschung mit technologischer Expertise. Die Gruppe »Ökonomische Analyse und Nachhaltigkeit« entwickelt und nutzt quantitative und qualitative Methoden zur ökonomischen und ökologischen Bewertung von Technologien, Infrastrukturen und Transformationsprozessen. Im von der Hans-Böckler-Stiftung geförderten Forschungsprojekt »Ökonomische Modellierung von Transformationspfaden« untersuchen wir die wirtschaftlichen und beschäftigungsbezogenen Auswirkungen technologischer und industrieller Veränderungen. Hierzu entwickeln wir quantitative Analysen, Modelle und Szenarien und leiten daraus wissenschaftlich fundierte Handlungsempfehlungen für Politik, Wirtschaft und Gesellschaft ab. Hier sorgen Sie für Veränderung Sie arbeiten im Forschungsprojekt »Ökonomische Modellierung von Transformationspfaden« der Hans-Böckler-Stiftung mit und gestalten dessen wissenschaftliche Bearbeitung aktiv mit. Sie erheben, strukturieren und analysieren wirtschafts-, industrie-, technologie- und beschäftigungsbezogene Daten. Sie entwickeln und verwenden quantitative Modelle und Szenarien zur Untersuchung technologischer und wirtschaftlicher Transformationspfade. Sie analysieren die Auswirkungen neuer Technologien und industrieller Veränderungen auf Wertschöpfung, Beschäftigung, Wettbewerbsfähigkeit sowie sektorale und regionale Wirtschaftsstrukturen. Sie untersuchen Märkte, Wertschöpfungsketten, Geschäftsmodelle und Innovationssysteme im Hinblick auf technologische und strukturelle Veränderungen. Sie interpretieren die Untersuchungsergebnisse aus wirtschaftswissenschaftlicher Perspektive und bereiten sie in wissenschaftlichen Berichten, Präsentationen und praxisorientierten Handlungsempfehlungen auf. Sie beteiligen sich gemeinsam mit der Hans-Böckler-Stiftung, Projektpartnern sowie Vertreterinnen und Vertretern aus Wissenschaft, Wirtschaft, Politik und Gesellschaft an Workshops, Fachgesprächen und weiteren Austauschformaten. Sie beteiligen sich an wissenschaftlichen Publikationen und an der Weiterentwicklung der Forschungsarbeiten der Gruppe. Hiermit bringen Sie sich ein Ein abgeschlossenes wissenschaftliches Hochschulstudium – Master, Diplom oder vergleichbar – der Betriebswirtschaftslehre, Volkswirtschaftslehre, Wirtschaftsmathematik, Statistik, der Wirtschaftswissenschaften oder eines vergleichbaren Studiengangs, vorzugsweise mit quantitativ-methodischem Schwerpunkt Fundierte Kenntnisse in quantitativen Methoden der Wirtschafts- oder Sozialforschung Erfahrung in der Aufbereitung und Analyse komplexer Daten sowie in der Anwendung quantitativer Methoden, beispielsweise im Rahmen einer empirischen oder modellgestützten Abschlussarbeit, wissenschaftlicher Projekte oder einer einschlägigen beruflichen Tätigkeit Kenntnisse in einem oder mehreren der folgenden Bereiche: statistische oder ökonometrische Datenanalyse, Input-Output- und Regionalanalysen, Szenarioanalysen, Wertschöpfungsketten- und Netzwerkanalysen oder techno-ökonomische Bewertungen Sicherer Umgang mit mindestens einer einschlägigen Statistik-, Analyse- oder Programmierumgebung, beispielsweise R, Python, MATLAB oder vergleichbarer Software Eine sorgfältige, eigenständige und lösungsorientierte Arbeitsweise sowie Freude an der Zusammenarbeit in einem interdisziplinären Team Sehr gute Deutsch- und gute Englischkenntnisse in Wort und Schrift Von Vorteil sind Erste Erfahrungen in der Analyse industrieller, technologischer oder gesellschaftlicher Transformationsprozesse Erfahrung in der Bearbeitung wissenschaftlicher Forschungsprojekte und in der Zusammenarbeit mit Partnern aus Wissenschaft, Wirtschaft, Politik oder Verbänden Eine abgeschlossene Promotion Was wir für Sie bereithalten Wir bieten Ihnen ein spannendes und interdisziplinäres Arbeitsumfeld mit Verantwortung und Raum für Ihre Ideen sowie moderne Ausstattung und Infrastruktur. Bei uns haben Sie die Chance, als Teil eines starken Teams eigene Ideen einzubringen und Lösungen für drängende Zukunftsfragen zu finden. Zusätzlich bieten wir unseren Mitarbeitenden folgende Vorzüge: Gleitzeit und ein Urlaubsanspruch von 30 Arbeitstagen im Jahr sowie eine bezahlte Freistellung am 24. und 31. Dezember Eine wöchentliche Arbeitszeit von 39 Stunden mit der Option auf Teilzeit Individuelle Entwicklungs- und Karrieremöglichkeiten Gezielte Möglichkeiten zur Weiterqualifizierung Betriebliche Altersvorsorge und vermögenswirksame Leistungen Zuschuss zum Jobticket (auch Deutschland-Jobticket) Familienfreundliche Arbeitskultur mit flexiblen Arbeitsbedingungen Kostenlose Parkplätze Wir wertschätzen und fördern die Vielfalt der Kompetenzen unserer Mitarbeitenden und begrüßen daher alle Bewerbungen – unabhängig von Alter, Geschlecht, Nationalität, ethnischer und sozialer Herkunft, Religion, Weltanschauung, Behinderung sowie sexueller Orientierung und Identität. Schwerbehinderte Menschen werden bei gleicher Eignung bevorzugt eingestellt. Unsere Aufgaben sind vielfältig und anpassbar – für Bewerber*innen (all genders) mit Behinderung finden wir gemeinsam Lösungen, die ihre Fähigkeiten optimal fördern. Die Stelle ist zunächst bis zum 14.08.2028 befristet. Wir weisen darauf hin, dass die gewählte Berufsbezeichnung auch das dritte Geschlecht miteinbezieht. Die Fraunhofer-Gesellschaft legt Wert auf eine geschlechtsunabhängige berufliche Gleichstellung. Anstellung, Vergütung und Sozialleistungen basieren auf dem Tarifvertrag für den öffentlichen Dienst (TVöD). Zusätzlich kann Fraunhofer leistungs- und erfolgsabhängige variable Vergütungsbestandteile gewähren. Mit ihrer Fokussierung auf zukunftsrelevante Schlüsseltechnologien sowie auf die Verwertung der Ergebnisse in Wirtschaft und Industrie spielt die Fraunhofer-Gesellschaft eine zentrale Rolle im Innovationsprozess. Als Wegweiser und Impulsgeber für innovative Entwicklungen und wissenschaftliche Exzellenz wirkt sie mit an der Gestaltung unserer Gesellschaft und unserer Zukunft. Bereit für Veränderung? Dann bewerben Sie sich jetzt, und machen Sie einen Unter­schied! Nach Eingang Ihrer Online-Bewerbung erhalten Sie eine auto­matische Empfangs­bestätigung. Dann melden wir uns schnellst­möglich und sagen Ihnen, wie es weiter­geht. Fragen zu dieser Position beantwortet Ihnen gerne: Priv.-Doz. Dr. Thorsten Upmann Leiter der Gruppe »Ökonomische Analyse und Nachhaltigkeit« Telefon: +49 345 131886-139 Fraunhofer-Institut für Keramische Technologien und Systeme IKTS www.ikts.fraunhofer.de Kennziffer: 85483 Bewerbungsfrist: 27.09.2026
Die Fraunhofer-Gesellschaft (www.fraunhofer.de) ist eine der weltweit führenden Organisationen für anwendungsorientierte Forschung. 74 Institute entwickeln wegweisende Technologien für unsere Wirtschaft und Gesellschaft – genauer: 30 000 Menschen aus Technik, Wissenschaft, Verwaltung und IT. Sie wissen: Wer zu Fraunhofer kommt, will und kann etwas verändern. Für sich, für uns und die Märkte von heute und morgen.
Fraunhofer-Institut für Keramische Technologien und Systeme IKTS
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.
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.
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.
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
Doctoral Fellowship in Macroeconometrics – Ghent University, Belgium
Topic The project is situated at the intersection of macroeconometrics and time series analysis and focuses on the statistical properties of local projection methods for estimating impulse responses. Impulse response analysis plays a central role in modern macroeconomics, yet widely used estimation methods face important challenges in finite samples and in environments with highly persistent or non-stationary data. This PhD project studies the bias, consistency, and inference properties of local projection estimators in both time series and panel data settings. The research will contribute to the development of bias-corrected estimators and robust inference procedures, with the goal of strengthening the theoretical foundations of impulse response analysis in applied macroeconomics. Role and responsibilities The successful candidate will carry out independent, high-level research within this project, in close interaction with the promoter and international collaborators. Your main tasks include: Conducting a thorough review of the theoretical and empirical literature in macroeconometrics and time series analysis. Developing analytical results on the asymptotic and finite-sample properties of local projection estimators. Designing and implementing Monte Carlo simulations to assess estimator performance. Writing high-quality academic papers for submission to leading international journals. Presenting research results at international conferences and workshops. In addition to research activities, the PhD student may be involved in limited educational support activities, for example assisting with specific course-related activities or co-supervision of bachelor's or master's theses related to the project, in accordance with the regulations for doctoral fellows. Job profile We are looking for a highly motivated and analytically strong candidate with the following qualifications: You have (or will obtain shortly) a master's degree in Economics, Econometrics, or a closely related field. You have a strong background in econometrics and macroeconomics. You have a pronounced interest in theoretical and methodological research. You are comfortable with mathematical derivations and quantitative analysis. Experience with numerical simulations and programming (e.g. MATLAB, R, or Python) is an asset. You are able to work independently and have strong communication skills. You are fluent in English, both written and spoken. Our offer We offer a full-time position as a doctoral fellow, consisting of an initial appointment of 12 months, which—after a positive evaluation—will be extended to a total maximum of 48 months. The doctoral fellowship amounts to 100% of the net salary of an AAP member in equal family circumstances, in accordance with the Ghent University salary scales (approx. 2,650–3,000 EUR net/month). A fellowship that meets the conditions of the doctoral fellowship regulations is exempt from personal income tax. In addition to the monthly stipend, fellows receive a holiday bonus (paid in June) and a year-end bonus (13th month), both in line with Ghent University's AAP salary scales. All Ghent University staff members enjoy a comprehensive benefits package, including extensive training and career development opportunities, 36 days of annual leave for a full-time position (supplemented by fixed bridge days), a bicycle allowance, and eco vouchers. The position offers the opportunity to conduct research in an international and intellectually stimulating academic environment at the Department of Economics in Ghent. Ghent University consistently ranks among the top universities worldwide. Ghent is a vibrant and welcoming city in the heart of Europe, offering a high quality of life and a rich cultural scene. How to apply Applications should be sent by email to: Prof. Gerdie Everaert gerdie.everaert@ugent.be Department of Economics, Ghent University https://www.ugent.be/eb/economics/en Applications should include: An academic CV. A motivation letter. A reference letter. Transcripts of academic records. A brief overview of previous research experience (e.g. master's thesis or research projects). Application deadline: Applications are reviewed on a rolling basis; early application is encouraged. The position remains open until filled. Starting date: Flexible, ideally as soon as possible; the exact starting date is negotiable with the successful candidate.
The Department of Economics at Ghent University is seeking a highly motivated PhD student to join an FWO-funded research project in theoretical macroeconometrics, under the supervision of Prof. Gerdie Everaert. The project studies the bias, consistency, and inference properties of local projection methods for estimating impulse responses in time series and panel data settings.
Department of Economics, Ghent University
We are looking for a highly motivated and analytically strong candidate who: Has (or will shortly obtain) a European master's degree in Economics, Econometrics, or a closely related field. Has a strong background in econometrics and macroeconomics. Has a pronounced interest in theoretical and methodological research. Is comfortable with mathematical derivations and quantitative analysis. Has experience with numerical simulations and programming (e.g. MATLAB, R, or Python) — an asset, not a requirement. Is able to work independently and has strong communication skills. Is fluent in English, both written and spoken.
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
Visiting Assistant Professor of Economics
Description Located in the vibrant community of Walla Walla, WA, Whitman College is home to an intellectually diverse, dynamic, and supportive community of some 500 staff and faculty serving roughly 1,500 students from the local region and across the globe. With exceptional students, accomplished faculty and staff, and engaged alumni, Whitman College continues to build on its national reputation for academic excellence as one of the top undergraduate, liberal arts colleges in the country. The Economics Department at Whitman College is seeking candidates for a one-semester position with expertise in microeconomics, at the rank of Visiting Assistant Professor beginning January 2027. A Ph.D. is preferred upon starting the position. ABD candidates will be considered. The teaching load will be 3 courses in the Spring semester, including Principles of Microeconomics, and Applied Microeconomics in areas of the candidate’s specialty. Renewal of the position for a subsequent year is possible, pending funding and positive evaluation of teaching. Whitman College is committed to fostering an inclusive learning community that values diverse identities, experiences, and perspectives. In the cover letter, candidates should describe their interest in teaching undergraduates, majors as well as non-majors, at all levels of instruction. In doing so, candidates should address how their classroom and scholarly practices will advance equity and inclusion in the learning environment. To apply, go to https://apply.interfolio.com/192018. The online application will prompt you to upload all of the required materials: a letter of application; curriculum vitae; statement of teaching philosophy; and evidence of demonstrated or potential excellence in undergraduate instruction. The committee will solicit three letters of recommendation from applicants who reach the interview stage. Review of applications will begin September 21 and continue until the position is filled. Salary Range: $35,000 - $37,000 Whitman College offers a competitive benefits package that is designed to attract qualified candidates and retain talented employees. Full-time employees enjoy the following benefits: Medical/Dental/Vision Insurances; basic life, accidental death and dismemberment and long term disability insurances with the capability to elect additional voluntary coverage; 403(b) Defined Contribution Retirement Plan with a matching contribution after eligibility requirements are met; Tuition Remission – Dependent Children, after eligibility requirements; employee tuition waiver for two Whitman courses per semester; and an Employee Assistance Program. All FTE benefit eligibility can be found here. New faculty receive a relocation stipend for moving expenses based on the distance of relocation. Benefit offerings and eligibility described reflect current offerings and may be subject to change in accordance with College policies and plan documents. Application Process This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge. Equal Employment Opportunity Statement Whitman College is cultivating a community built on inclusion and belonging. We recognize the value of those who can offer historically underrepresented perspectives and encourage applications from those whose background, knowledge, and insights from lived experience can add to the college’s working and learning environment. Whitman College is an EEO employer. The college shall abide by the requirements of 41 CFR §§ 60-1.4(a), 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, or national origin.
Whitman College is seeking candidates for a one-semester position with expertise in microeconomics, at the rank of Visiting Assistant Professor beginning January 2027.