Call for Expressions of Interest Tenure-Track Assistant Professor (RTT) in Economics, Management, and Statistics
The IMT School for Advanced Studies Lucca invites expressions of interest from outstanding candidates for a prospective tenure-track Assistant Professor (RTT) position in Economics, Management, and Statistics, and related fields. The purpose of the scouting procedure is to collect expressions of interest in sectors deemed strategic for the development of the School’s research areas and doctoral programs in order to evaluate the opportunity to open call (“concorsi”) as expected according to the Italian law. The call for expressions of interest is open to candidates working in any field of economics, management, statistics, and related fields. We particularly welcome applicants whose research combines strong theoretical, empirical, experimental, or computational foundations with the analysis of economically and socially relevant questions. The ideal candidate will have a solid research profile and the potential to develop an internationally visible and independent research agenda. Applications are encouraged from scholars using a broad range of methodologies, including business analytics, economic theory, econometric methods, causal inference, experimental methods, survey methods, psychometric methods, mathematical and statistical methods, optimization, game theory, and machine learning. Research interests may include, but are not limited to, microeconomics, macroeconomics, econometrics, applied mathematics, statistics, operations research, management science, strategy, planning and control, business model and innovation, behavioral economics, political economy, computational economics, labor economics, public economics, health economics, environmental economics, international economics, industrial organization, economics of innovation, and economic networks. The successful candidate is expected to actively contribute to the research environment at the IMT School and, in particular, to the activities of the AXES – Laboratory for the Analysis of Complex Economic Systems. The candidate should be willing to collaborate with researchers from economics, management, statistics, and related disciplines and to participate in interdisciplinary research projects. Expected activities include: carrying out high-quality research; publishing in leading peer-reviewed international journals; contributing to national and international research projects and funding applications; teaching economics, management, mathematics, statistics, econometrics and quantitative methods, primarily at the doctoral level; supervising and mentoring PhD students; participating in seminars, workshops, and the scientific life of the School; contributing to the PhD Programs in Economics, Analytics and Decision Sciences (EADS), Social Sciences for Sustainability and Wellbeing (S3W), and Intelligence Systems for Business Administration (ISBA); and to other relevant educational and research initiatives. Applicants should hold a PhD in Economics, Management, Statistics or a closely related discipline and demonstrate excellent research potential. A strong command of English is required. International research experience, experience in doctoral teaching or supervision, experience in research grant writing, funding acquisition (including university performance awards) and technology transfer, and the ability to work in interdisciplinary research teams will be considered valuable assets. IMT School offers a highly international and interdisciplinary research environment, with strong interactions among economics, statistics, management, data science, computer science, engineering, neuroscience, and the social sciences.
The IMT School for Advanced Studies Lucca invites expressions of interest from outstanding candidates for a prospective tenure-track Assistant Professor (RTT) position. ON LINE APPLICATION FORM
International Doctoral Courses and Seminars in Health Economics and Policy
The objectives The International doctoral Courses and Seminars in Health Economics and Policy are intended for PhD students from Swiss universities as well as foreign universities who wish to enhance their specific knowledge and sharpen their capabilities in the field of health economics and policy. Researchers with a PhD in economics and related disciplines as well as health researchers with a significant interest in economics who wish to deepen their knowledge of some topics can also be admitted Certification Students receive a certificate for each course that they attend Each completed course is awarded 3 ECTS Students who pass an exam receive a certificate of success and a grade report A certificate for having achieved the PhD specialisation in Health Economics will be awarded for having achieved 15 credits (5 courses). The approval will be signed by the program director More information Please, send us an email if you need more information: phd@sggoe.ch Overview of Courses: 8 - 12 Jun 2026 Lucerne Machine Learning in Health Economics Prof. Helmut Farbmacher apply 22 - 26 Jun 2026 Lucerne Empirical Policy Evaluation in Health Prof. Maarten Lindeboom, Prof. Bas van der Klaauw apply 24 - 28 Aug 2026 Basel Experimental Health Economics Prof. Jeannette Brosig-Koch apply Application Requirements: Graduate degree in related discipline Personal data/curriculum vitae Enrollment Form Doctoral Program Entry Requirements Applicants of the International Doctoral Courses and Seminars in Health Economics and Policy need to: be registered as candidates of a PhD in economics or in a related discipline demonstrate sufficient proficiency in microeconomics, and demonstrate sufficient proficiency in econometrics or statistics. A full resume, along with the enrollment form will have to be submitted to the administration of the program. A final decision with regards to admission will be taken after a thorough and individual assessment of the application. Students can apply via http://www.sggoe.ch
The program The goal of the program is to offer advanced and highly specialized courses in health economics and policy, as well as seminars and workshops with leading international experts. This program is being offered within the framework of the Swiss School of Public Health (SSPH+) and the various partners of SSPH+ (Basel, Lausanne, Lucerne, Lugano and Zurich) will offer specialized courses for the participants.
Swiss Society of Health Economics (sggö)
Economic Development, Innovation and Growth (JEL O)
We have a fantastic opportunity for a Senior Business Data Analyst to join our Group Data and AI Office (GDAIO) Team at Royal London. The Senior Business Data Analyst plays an important role in supporting data-informed decision-making within GDAIO. This position will help shape complex data analysis projects, develop analytical approaches, and provide meaningful insights to support business decisions. The role combines analytical expertise with collaborative project delivery, supporting high standards of data quality, accuracy, and integrity across the organisation. The Senior Business Data Analyst will support value-chain mapping of data, interpret system performance metrics, agile team performance data, and financial data, and help check and challenge GDAIO involvement in key initiatives based on return on investment. This role is important in developing and refining processes that turn complex datasets into actionable business intelligence and support better outcomes in the financial services market. Working closely with Data Engineering teams, Business SMEs, Business Sponsors and Senior Leadership, the Senior Business Data Analyst will analyse complex data ecosystems, translate findings into practical recommendations with the Head of Data Strategy and the Head of Data Architecture, and support project teams to align with organisational objectives. This role combines hands-on analysis with collaborative leadership, particularly during complex analysis or key project definition phases. More about the role: Shape and deliver complex data methodologies and analysis projects, developing analytical approaches that support business priorities Support the optimisation and phasing of data sourcing to the Enterprise Data Model (EDM) Evaluate important business processes and identify data-driven improvement opportunities Develop thoughtful analytical solutions to help address complex business challenges Provide clear insights to cross-functional teams and senior stakeholders based on advanced data analysis Help ensure analytical outputs align with business strategies and regulatory requirements Support data quality assessments, migrations and improvement initiatives Coordinate the delivery of high-impact analytical projects, helping ensure timely completion and effective use of resources Role model Royal London values across the GDAIO and broader organisation Support and coach junior Business Data Analysts, helping them build confidence and access development opportunities such as roundtables and conferences Encourage the use of data-driven decision-making practices across the organisation Contribute to initiatives that improve data literacy and analytical capability across business areas What you will bring to the role: Experience in data analysis and modelling, ideally within financial services or another regulated environment Experience delivering analytical projects with multiple stakeholders or interdependencies, especially migrations Knowledge of Agile ways of working and how they can support analytical delivery Good understanding of data lifecycle management and governance Practical experience with data visualisation tools, SQL, cloud-based data platforms, or statistical software Strong analytical and problem-solving skills, with the ability to turn complex data insights into clear business recommendations Good organisational skills, including the ability to balance priorities and support effective delivery Collaborative stakeholder management skills, with the ability to build effective relationships across different teams and levels of the organisation We know that everyone’s experience looks different. If you’re excited about this role and think you could make a positive impact in our data team at Royal London, we’d love to hear from you -even if you don’t meet every requirement. About Royal London We’re the UK’s largest mutual life, pensions and investment company, offering protection, long-term savings and asset management products and services. Our People Promise to our colleagues is that we will all work somewhere inclusive, responsible, enjoyable and fulfilling. This is underpinned by our Spirit of Royal London values; Empowered, Trustworthy, Collaborate, Achieve. We've always been proud to reward employees by offering great workplace benefits such as 28 days annual leave in addition to bank holidays, an up to 14% employer matching pension scheme and private medical insurance. Inclusion, diversity and belonging We’re an inclusive employer. We celebrate and value different backgrounds, perspectives and experiences across Royal London. We welcome applications from people of all backgrounds and are committed to creating a workplace where everyone can feel included, respected and able to thrive.
Join the Group Data and AI Office (GDAIO) Team at Royal London as a Senior Business Data Analyst and support data-informed decision-making within the organization.
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.
Econometrics, Statistics and Quantitative Methods (JEL C)
Urban, Rural and Transportation Economics (JEL R)
Part-time Faculty, Economics – Lariccia School of Accounting & Finance – Online Courses
Description Teach undergraduate online courses in economics and personal financial literacy. Position Information Plans, organizes, teaches, and provides feedback to promote and direct student success. Responds to students in a timely manner. Communicates with students, departments, and university officials via university provided tools and resources. An Institution of Opportunity: YSU inspires individuals, enhances futures, and enriches lives. As a student-centered university, Youngstown State University’s mission is to provide innovative lifelong learning opportunities that will inspire individuals, enhance futures, and enrich lives. YSU inspires individuals by cultivating a curiosity for life-long learning; enhances the futures of our students by empowering them to discover, disseminate and apply their knowledge; and enriches the region by fostering collaboration and the advancement of civic, scientific, and technological development. YSU’s culture of enrichment flourishes in our intellectually diverse, accessible, and quality education. Work Schedule: Typically, Monday through Friday. Teaching assignments will be courses online. Qualifications and Competencies Required Certifications, Training, and/or Licensures: None. Sponsorship and/or Work Authorization Status: Must be currently authorized to work in the United States on a full-time basis. Minimum Qualifications: At least an earned master’s degree in economics or a related field; at least three years of professional field experience in economics; must be currently authorized to work in the United States on a full-time basis. Preferred Qualifications: Professional certification(s) in economics or finance. Prior teaching experience. Physical Requirements: In accordance with the U.S. Department of Labor physical demands strength ratings, this position will perform sedentary work. Sedentary: work involves exerting up to 10 pounds of force occasionally or a negligible amount of force frequently to lift, carry, push, pull, or otherwise move objects, including the human body. Sedentary work involves sitting most of the time but may involve walking or standing for brief periods of time. Jobs may be defined as Sedentary when walking and standing are required only occasionally, and all other Sedentary criteria are met. Supplemental Information Please upload all transcripts as one PDF file. At time of hire, all candidates must provide official transcripts. Official transcripts must be provided in an unopened, sealed envelope and must bear the embossed or raised college seal, date and Registrar’s signature. Employer Youngstown State University (OH) Address: 1 Tressel Way, Youngstown, Ohio, 44555 Phone: 330-941-1508 Website: http://www.ysu.edu
Teach undergraduate online courses in economics and personal financial literacy at Youngstown State University.
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.
Public Economics & Economic Policy (JEL H)
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.
Macroeconomics and Monetary Economics (JEL E)
International Conference on Applied Business and Economics (22nd Edition ICABE 2026)
The 22nd edition of ICABE is about navigating the future. It invites participants to reflect on how innovation, digital assets, and decentralization can be harnessed not as ends in themselves, but as tools to build resilient economies, responsible enterprises, and inclusive societies in a world defined by continuous change. The Conference’ Objectives are to: • Foster interdisciplinary collaboration and idea exchange. • Showcase cutting-edge research and technological advancements. • Explore sustainable business practices and educational innovations. • Develop actionable strategies for real-world impact. Key Topics: We invite contributions on, but not limited to, the following topics: • Sustainable business models and strategies. • Emerging technologies are driving innovation. • Educational tools and methods for the future. • Integrating technology for sustainable development. • Public-private partnerships and policy implications. In addition to these we accept manuscripts in all discipline described in the AEA list (see the link) ” https://icabe.gr/conference-sessions/
The 22nd ICABE 2026 focuses on how rapid technological, economic, and societal changes are transforming the global economy. It highlights the rise of smart economies, which use technologies like AI, big data, blockchain, and IoT to improve efficiency, policymaking, and collaboration, and adaptive enterprises, which must continuously evolve through digital transformation, agility, and data-driven strategies to stay competitive. The conference also examines the growing importance of digital assets and decentralized systems, such as cryptocurrencies and DeFi, which are reshaping finance, ownership, and trust while raising regulatory and stability concerns. More broadly, decentralization is redistributing power in economies and organizations, offering opportunities for inclusion but also creating governance challenges. A key focus is on managing emerging risks, including cybersecurity, ethical issues, financial instability, and digital inequality. Overall, the conference aims to explore how innovation can drive sustainable growth while balancing the complexities and risks of a rapidly changing world.
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 2nd-3rd, 9th-10th of July from 9:30 am to 1:30 pm CEST. 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 22nd of June 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 2nd-3rd, 9th-10th of July 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.
Agricultural and Environmental Economics (JEL Q)
Non-resident full-time faculty position: Assistant, Associate, or Full Professor in Sustainability and Green Economy
Hamdan Bin Mohammed Smart University (HBMSU), located in Dubai, UAE, the first accredited smart learning university in the region, is seeking exceptional scholars who are passionate about advancing innovative online education. To complement the existing faculty of the School of Sustainability and Green Economy, this non-resident appointment specifically targets scholars whose primary expertise is in sustainable finance, ESG, carbon management, climate policy, or environmental economics. Successful candidates will join a dynamic, learner-centric institution dedicated to excellence in smart learning. Faculty are expected to teach undergraduate and graduate courses in a fully online environment, contribute to the development of engaging digital course content, and maintain an active record of research and scholarly contributions in their specific field. The ideal candidates will demonstrate a commitment to research output including high-quality publications, innovative online pedagogy, and meaningful service to the academic community. Non-resident faculty appointments are full-time roles that allow candidates to teach, conduct research, and engage in service remotely from outside the UAE while fully participating in HBMSU’s online learning environment, contributing to academic service, and mentoring students. These faculty members reside outside the UAE and contribute to our mission entirely through digital platforms. Teaching is delivered fully online, whether asynchronous or synchronous; allowing them to engage with learners across borders. Non-resident faculty actively participate in faculty meetings, committees, and training sessions virtually, ensuring strong collaboration despite the distance. They are expected to produce impactful research in their specific areas, mentor students, and contribute to academic service, with all responsibilities carried out remotely. Community involvement is fostered through regular virtual participation in campus events and initiatives, enabling them to remain an integral part of HBMSU’s vibrant academic network while working from abroad. Applicants must be familiar with online teaching platforms and methodologies and be dedicated to supporting HBMSU’s mission of transforming learning through technology and innovation. Candidates must hold a completed terminal degree at the time of application; conferral letters or equivalent official verification are required. Highlights: Non-resident full-time position Competitive, tax-free salary in the UAE Teach in a dynamic, fully online program accredited by the Commission for Academic Accreditation (CAA), UAE Opportunity to shape the future of digital learning and contribute to the UAE Net Zero 2050 strategy, the UAE Green Agenda 2030, and post-COP28 sustainability priorities in the region Main roles & responsibilities The successful candidate will play a vital role within the School of Sustainability and Green Economy, complementing the school’s existing expertise in environmental management, waste and water sustainability, energy transitions, and circular-economy/data-driven innovation by leading teaching and research in sustainability finance, ESG, carbon management, and climate policy. Responsibilities include: Teaching: Deliver online courses that foster expertise in sustainable finance, ESG and sustainability reporting (GRI, IFRS S1/S2, TCFD, SASB), carbon management and accounting (GHG Protocol, ISO 14064), climate finance, environmental and ecological economics, climate policy and governance, green entrepreneurship, and sustainable business models. Engage learners in developing analytical skills to evaluate the financial, environmental, social, and governance impacts of corporate and policy decisions, and promote entrepreneurial approaches to sustainability solutions. Use interdisciplinary teaching methods and cutting-edge online platforms to equip students with the knowledge and leadership skills needed to tackle global sustainability challenges, climate change, and the low-carbon economy transition. Curriculum Development: Design instructional materials and e-content tailored to sustainable finance, ESG, carbon management, and climate policy, and develop and implement innovative curricula that integrate industry best practices, international sustainability standards and disclosure frameworks, and emerging technologies such as AI and machine learning applied to ESG analytics and climate-risk modelling. Research: Enhance the academic landscape by publishing research findings in high-quality, peer-reviewed Scopus/Web-of-Science indexed journals. Conduct impactful research in areas such as sustainable finance, ESG investing, climate finance, carbon markets and pricing, net-zero pathways, sustainability disclosure and reporting, climate-risk assessment, and the economics of the energy transition. Develop proposals and pursue funding opportunities for research. Mentorship: Guide, advise, and mentor learners throughout their academic journeys, including supervising MSc and (where applicable) PhD theses in sustainable finance, ESG, and carbon management. Professional Development: Create and facilitate professional short courses and workshops aimed at specific target groups and professional communities, including ESG officers, sustainability/CSR managers, and corporate finance professionals in the UAE and the wider GCC region. Service: Undertake necessary responsibilities to support academic programs and their accreditations, conduct feasibility studies, perform business analytics, and carry out benchmarking analyses. Required qualification & skills Qualifications: Candidates should possess the following qualifications and skills: A PhD in Sustainable Finance, Environmental Economics, Climate Policy, Carbon Management, ESG/Sustainability Accounting, or a closely related field from an accredited university, preferably top ranked universities. Demonstrated expertise in at least one of the following areas: (i) sustainable finance, ESG investing, or climate finance; (ii) carbon management, carbon accounting, or net-zero/decarbonisation pathways; (iii) sustainability reporting and disclosure (GRI, IFRS S1/S2, TCFD, SASB, CSRD); or (iv) climate policy, environmental economics, or natural-capital valuation. Expertise in sustainability, sustainability finance and policy instruments, and their application to complex environmental, social, governance, and economic challenges. Ability to evaluate the sustainability of corporate strategies, investment portfolios, policies, and projects, with a focus on innovative finance- and policy-driven solutions for the low-carbon, green economy. Proven capability in fostering interdisciplinary approaches, entrepreneurship, and leadership in global sustainability issues, including climate change mitigation and adaptation, ESG integration, and sustainable finance. The candidate should be capable of teaching at undergraduate and graduate levels in sustainability and green economy. Preference will be given to those willing to teach sustainable finance and ESG, carbon management, climate policy and economics, and sustainability reporting standards. A demonstrated record of successful teaching experience at an accredited university. Ability to integrate industry insights into curriculum development and classroom instruction, ideally with prior consulting, regulatory, financial-sector, or corporate sustainability experience. Demonstrated strong scholarly preparation with the ability to teach and publish effectively in English. Proven capability in developing and delivering professional workshops. Proven teaching experience in online learning environments. Ability to teach and engage learners effectively in online undergraduate and graduate programs. Must meet the academic qualification requirements of the School of Sustainability and Green Economy, the University, the UAE Ministry of Higher Education and Scientific Research (MOHESR), and relevant accreditation bodies (CAA-UAE). Application process Submit the following: cover letter, CV (including a clear terminal degree, publications, and references), a one-page statement outlining how the applicant complements rather than overlaps with the existing faculty, and a Google Scholar profile link with current h-index and citation count. Applications must be submitted through the HBMSU designated application portal (link provided in the posting). Review of applications begins immediately and continues until the position is filled. Location Dubai Academic City P.O.Box 71400. Dubai. UAE Toll Free (UAE) 800 333 000 Telephone (International): 009714 424 1111 Email learn@hbmsu.ac.ae
Hamdan Bin Mohammed Smart University (HBMSU) seeks exceptional scholars for the School of Sustainability and Green Economy.
Positive Science – Economics Best Paper Award 2026: $4,000 Prize Fund for Published Articles
The journal Positive Science – Economics welcomes original research across the broad field of economics, including macroeconomics, microeconomics, finance, development, public economics, labour, education, health, international economics, economic history, environmental economics, digital economy, innovation, and related fields. Positive Science – Economics is open-access, peer-reviewed, and IMRaD-friendly. We welcome theoretical, empirical, applied, policy-oriented, qualitative, quantitative, and interdisciplinary research. Submit your manuscript and, if your article is accepted for publication by December 31, 2026, it will be automatically considered for the award. https://positive-science.com/contest/economics_best_paper_award_2026_75882b7129?utm_source=inomics&utm_medium=announcement&utm_campaign=ps_economics_best_paper_award_2026&utm_content=contest_cta Journal Aims & Scope: https://positive-science.com/journal/human_economics_B1057f9a86?utm_source=inomics&utm_medium=announcement&utm_campaign=ps_economics_best_paper_award_2026&utm_content=journal_scope
🏆 Positive Science is pleased to announce the Positive Science – Economics Best Paper Award 2026, an award recognizing outstanding scholarly contributions published in the peer-reviewed open-access journal Positive Science – Economics. All articles accepted for publication or published in Positive Science – Economics between 1 January and 31 December 2026 are automatically eligible. Authors do not need to submit a separate award application. Total prize fund: US$4,000, distributed across three award categories: 🥇 Best Paper Award: US$2,500 🥈 Runner-up Award: US$1,000 🌱 Special Mention / Emerging Scholar Award: US$500 Results announcement: March 2027
Econometrics with EViews: Time Series, and Panel Data
Econometrics with EViews: Time Series, and Panel Data Created by Dr. Nasir Munir What you'll learn Understanding the concepts of data. Explaining the properties of the OLS. Estimating the different econometric tools used in time series data. Determining the basic economics models and interpreting them. This course includes: 13 hours on-demand video Assignments Access on mobile and TV Certificate of completion Course content 16 sections • 88 lectures • 13h 8m total length Description In this course, you will learn how to collect, import, and structure data (World Bank, IMF, WDI, Panel Data), understand types of data and preparing datasets for analysis, and more. Who Should Enroll? Undergraduate & Graduate Students in Economics, Finance, and Business PhD Scholars & Researchers preparing econometric models for publications Policy Analysts & Data Professionals applying econometrics in real-world decision-making By the End of This Course, you will be able to confidently analyze time series and panel data, detect econometric issues, apply advanced models, and present results like a professional researcher. Course Pricing Current price: €19.99 30-Day Money-Back Guarantee Full Lifetime Access Instructor Dr. Nasir Munir is an Assistant Professor at SZABIST University.
Master Econometrics from Basics to Advanced: OLS, ARDL, VAR, GARCH, Cointegration, Causality & Panel Data Analysis.
Description: The Center for Private Tutoring Policies at the Chung-Ang University Economic Research Institute invites applications for a full-time Postdoctoral Associate position funded by the Korea Research Foundation. We seek candidates with strong training in empirical methods, particularly in labor or public economics, although applicants from all fields of economics are encouraged to apply. The Postdoctoral Associate will collaborate on ongoing empirical research projects with Professors Changhui Kang, Sun Go, and Hoon Choi, and will also contribute to related administrative tasks. The position provides substantial time for independent research and is particularly suitable for recent Ph.D. recipients seeking a research-oriented appointment. There is no teaching requirement; however, optional teaching opportunities may be available with additional compensation. Duration and Compensation: The initial appointment is for one year, beginning in September 2026 or earlier, with the possibility of annual renewal through August 2029. The annual salary is 42 million KRW (inclusive of taxes, social insurance contributions, and retirement benefits). Qualifications: Applicants must have completed a Ph.D. in economics or a closely related field by the start date. While the Center’s primary research areas include labor economics, public economics, and econometrics, candidates from all areas of economics are welcome. Proficiency in Korean is required. Application Requirements: Cover letter Curriculum vitae Job market paper Research statement Academic transcripts Three letters of recommendation Application Deadline: Review of applications will begin immediately and continue on a rolling basis until the position is filled. Additional Information: Shortlisted candidates will be invited for online interviews. Contact Information: For inquiries, please contact: Wonho Song via the CAU CEPT Webpage: https://cept.cau.ac.kr/
Chung-Ang University invites applications for a Postdoctoral Associate position in Economics, specializing in Labor and Public Economics.
Microeconomics: The Power of Markets (Online Course)
Instructor: Rebecca Stein 5 modules Gain insight into a topic and learn the fundamentals. 4.7 (1,638 reviews) 2 weeks to complete at 10 hours a week Flexible schedule; Learn at your own pace 95% Most learners liked this course Skills you'll gain: Resource Allocation, Economics, Market Analysis, Policy Analysis, Supply And Demand, Market Dynamics, Decision Making, Tax, Consumer Behaviour, Cost Benefit Analysis Details to know Shareable certificate Add to your LinkedIn profile Assessments 18 assignments Taught in English 22 languages available Course Modules: The Concept of Scarcity: 2 hours to complete Specialization & Trade: 1 hour to complete Supply and Demand: 3 hours to complete Understanding Markets: Elasticities, Market Surplus, Efficiency, and Equity: 3 hours to complete When Government Intervenes: 3 hours to complete This course is an introduction to the microeconomic theory of markets: why we have them, how they work, what they accomplish. We will start with the concept of scarcity and how specialization according to comparative advantage helps us achieve more than we could alone. Next, we model a market using the tools of Supply and Demand and learn what well-working markets accomplish and what their limits are. We end by exploring the impact of government intervention on perfect markets. Examples are taken from everyday life, from goods and services that we all purchase and use. We will apply the theory to current events and policy debates through weekly exercises, empowering you to be an educated, critical thinker who can understand, analyze, and evaluate market outcomes. Instructor Instructor ratings: 4.8 (313 ratings) Rebecca Stein, University of Pennsylvania 3 Courses • 117,222 learners Offered by University of Pennsylvania Recommended Microeconomics: Foundations and Insights Microeconomics: When Markets Fail Course rating 1,638 reviews 5 stars: 79.42% 4 stars: 17.15% 3 stars: 2.62% 2 stars: 0.42% 1 star: 0.36%
Instructor: Rebecca Stein. Enroll for free.
15th LaBS International Banking Workshop "Banking in Emerging Markets: Challenges and Opportunities"
The Laboratory for Banking Studies FES HSE (LaBS) organizes the 15th LaBS International Banking Workshop "Banking in Emerging Markets: Challenges and Opportunities". We invite paper submissions for a workshop to be held in a hybrid format, both online and in person, at the HSE University, Moscow. The workshop is aimed at bringing together scholars involved in both theoretical and empirical research in all fields of Banking and/or Household finance. The organizing committee particularly welcomes submissions on the current issues concerning banking in emerging and developing markets. Each paper accepted for presentation will be assigned a discussant. The workshop will be held on Friday, October 30st, 2026. Submission deadline is August 15th, 2026. Only full papers will be considered. SUBMIT YOUR PAPER HERE Keynote speakers are Dragon Yongjun Tang (HKU Business School, University of Hong Kong) and Haotian Xiang (Guanghua School of Management, Peking University). Because of the workshop format, allowing for detailed presentations and extensive discussions, only a small number of papers will be accepted for presentation. There is no conference fee. The workshop is held in English. There is no registration fee. More information is available at the workshop webpage. If you have any questions, please, do not hesitate to contact us at bankslab@hse.ru.
The Laboratory for Banking Studies (LaBS) organizes the 15th LaBS International Banking Workshop "Banking in Emerging Markets: Challenges and Opportunities". We invite paper submissions for a workshop to be held both in person at the HSE University, Moscow, and online. The workshop is aimed at bringing together scholars involved in both theoretical and empirical research in all fields of Banking and/or Household finance. The organizing committee particularly welcomes submissions on the current issues concerning banking in emerging and developing markets. Keynote speakers are Dragon Yongjun Tang (HKU Business School, University of Hong Kong) and Haotian Xiang (Guanghua School of Management, Peking University).
Overview This graduate-level course provides an introduction into the macroeconomics of business dynamism. Taught by Petr Sedlacek (days 1-4) and Marek Ignaszak (day 5), students will learn about stylized facts and key theoretical concepts related to (i) static factor misallocation, (ii) firm dynamics over the business cycle and (iii) innovation and growth. Throughout the course, emphasis is given on practical knowledge for building, solving and analyzing macroeconomic models of business dynamism and on pointing out typical problems that researchers may run into. In addition, students will learn about available data sources and how to analyze them and how to use them to help discipline their models. Through hands-on computer sessions, participants will walk away with a portfolio of Matlab codes implementing a range of macroeconomic models with heterogeneous firms. Topics include: Static factor misallocation, firm dynamics over the business cycle Innovation and growth Handling (micro-)data, indirect inference and markup estimation
Lectures and Hands-on Computer Labs This summer school runs between August 17-21, 2026 and is virtual only. The course consists of lectures, guided Q&A and coding sessions. Participants can also submit their own work to a dedicated research workshop where up to 6 papers will be selected for presentation. More information: https://sites.google.com/view/firms4macro
International Conference on Economics, Finance & Business, Istanbul
The conference is co-organized by the IISES and the University of Finance and Administration (VŠFS). We welcome scholars, researchers, as well as corporation and government executives. You can present your research work or just attend. The Economics & Finance Conference is focused on the following topics: Finance and Banking Macroeconomics International Economics Labour Economics Finance and International Finance Business and International Business Management and International Management Marketing and International Marketing Economic Policies Economic Education Environmental Economics Submitted papers will be double-blind peer-reviewed by our external reviewers based on originality and technical quality. Accepted and presented papers will be published in the Conference Proceedings with ISBN on our website. Abstracts will be published in the Book of Abstracts. IISES is an important international society of economists, social scientists and educators, founded to promote education and scientific research. Our conference enables you to present your research, meet new colleagues and improve your research skills. Attending a scientific conference is always a great opportunity to do some networking. This can help you to start new projects, find collaborators or jobs. Certificate of presentation will be issued to participants presenting their research in sessions or in e-session. Certificate of chairing a session will be issued to chairs acknowledging their role at the conference. For those who cannot attend personally we offer participation in an e-session (virtual presentation). A group of participants can organize a workshop in English or in a different language.
The International Institute of Social and Economic Sciences invites you to participate in the International Conference on Economics, Finance & Business, Vienna to be held on September 28 - September 30, 2026 in Turkey at the Hotel Novotel Istanbul Zeytinburnu.
The International Institute of Social and Economic Sciences (IISES)
International Conference on Economics, Finance & Business, Vienna
The conference is co-organized by the IISES and the University of Finance and Administration (VŠFS). Complimentary conference tour to Melk Monastery is included for the conference delegates. We welcome scholars, researchers, as well as corporation and government executives. You can present your research work or just attend. The Economics & Finance Conference is focused on the following topics: Finance and Banking Macroeconomics International Economics Labour Economics Finance and International Finance Business and International Business Management and International Management Marketing and International Marketing Economic Policies Economic Education Environmental Economics Submitted papers will be double-blind peer-reviewed by our external reviewers based on originality and technical quality. Accepted and presented papers will be published in the Conference Proceedings with ISBN on our website. Abstracts will be published in the Book of Abstracts. IISES is an important international society of economists, social scientists and educators, founded to promote education and scientific research. Our conference enables you to present your research, meet new colleagues and improve your research skills. Attending a scientific conference is always a great opportunity to do some networking. This can help you to start new projects, find collaborators or jobs. Certificate of presentation will be issued to participants presenting their research in sessions or in e-session. Certificate of chairing a session will be issued to chairs acknowledging their role at the conference. For those who cannot attend personally we offer participation in an e-session (virtual presentation). A group of participants can organize a workshop in English or in a different language.
The International Institute of Social and Economic Sciences invites you to participate in the International Conference on Economics, Finance & Business, Vienna to be held on September 1 - September 3, 2026 in Austria at the Hotel Stefanie.
IISES International Academic Conference, Vienna
The conference is co-organized by the IISES and the University of Finance and Administration (VŠFS). Complimentary conference tour to Melk Monastery is included for the conference delegates. We welcome scholars, researchers, as well as corporation and government executives. You can present your research work or just attend. The International Academic Conference is a multidisciplinary conference with the following topics: Business and Economics Quantitative Methods Social Sciences and Humanities Teaching and Education Health and Welfare Environment and Sustainable Development Law in Society Energy Resources and Policy Technology and Science All submissions are peer-reviewed. All accepted papers/abstracts will be published in the Conference Proceedings on our website. Proceedings of the conference will be published one month after the conference. Proceedings are indexed in: RePEc, Google Scholar, Research Bible and Research Gate IISES is an important international society of economists, social scientists and educators, founded to promote education and scientific research. Our conference enables you to present your research, meet new colleagues and improve your research skills. Attending a scientific conference is always a great opportunity to do some networking. This can help you to start new projects, find collaborators or jobs. Certificate of presentation will be issued to participants presenting their research in sessions, poster sessions or an e-session. Certificate of chairing a session will be issued to chairs acknowledging their role at the conference. For those who cannot attend personally we offer participation in an e-session (virtual presentation). A group of participants can organize a workshop in English or in a different language. Conference participants may publish their papers in the conference proceedings or submit them to the IISES Journal.
The International Institute of Social and Economic Sciences invites you to participate in the IISES International Academic Conference, Vienna to be held on September 1 - September 3, 2026 in Austria at the Hotel Stefanie.
Computational & Quantitative Linguistics