Modern Difference-in-Differences: New Problems, New Solutions - Linear Regression and Panel Data in STATA
PREREQUISITES Working knowledge of linear regression and basic familiarity with panel data concepts (fixed effects, clustering) Prior experience with Stata is expected No prior exposure to the new DiD literature is assumed — the workshop builds from the ground up PROGRAM SESSION I: SIMPLE DID DESIGNS The 2×2 design 2×T event studies Parallel trends Interpreting ATT parameters as estimands Clustering and standard errors SESSION II: VIOLATIONS OF PARALLEL TRENDS Covariates Triple differences Compositional changes over time Addressing weak overlap SESSION III: DIFFERENTIAL TIMING Two-way fixed effects problems Goodman-Bacon decomposition, Callaway and Sant’Anna, Sun and Abraham, Borusyak et al., Wooldridge Imputation vs. weighting estimators SESSION IV: SENSITIVITY ANALYSIS Bounding parallel trends violations Sensitivity of results across packages and languages SESSION V: CONTINUOUS DID AND DOSAGE DESIGNS Extending difference-in-differences to continuous treatments and dosage frameworks SESSION VI: A MODEST SUGGESTION OF CHECKS Walk-throughs using several empirical examples, all in Stata Practical guidance on reporting and diagnostics DATE AND LOCATION This Workshop is being offered on the second day of the Italian Stata Users Conference that will take place in Milan, on the 17th-18th September 2026. COURSE LEADERS Scott Cunningham – Ben H. Williams Professor of Economics, Baylor University REGISTRATION FEE AND REGISTRATION FORM Conference Conference and Workshop Students and PhD Students* full-time € 60.00 € 195.00 Other € 110.00 € 420.00 All participation fees are subject to VAT (applied at the current Italian rate of 22%); *To be eligible for student prices, participants must provide proof of their full-time student status for the current academic year. Individuals interested in participating should return their duly completed registration forms to the conference organizers by the 10.09.2026 at the very latest. To request further information or the registration form, please fill in the following form or send an email to training@tstat.eu
This Workshop is being offered on the second day of the Italian Stata Users Conference that will take place in Milan, on the 17th-18th September 2026.
Econometrics, Statistics and Quantitative Methods (JEL C)
The Kiel Institute offers external PhD students and professionals the opportunity to participate in advanced courses of its high-level ASP Kiel Ph.D program. The courses are at the frontier of current economic research and are taught by leading economists in their field. Participation in these courses is a great way to be inspired by renown scholars who work at the research frontier and to learn new methods and skills. Over the years, hundreds of external participants have attended our ASP courses, in particular PhD students from all over the world, as well as professionals from international institutions, ministries, central banks, think tanks or the financial sector. All courses are taught in English and at our institute facilities in Kiel. All candidates can apply for participation in one or several courses of the program highlighted below. Colleagues and students from the Kiel Institute and partner Institutions can express their interest in participating to an advanced course by sending an email to advancedstudies@ifw-kiel.de. All other candidates need to fill in the form available on the specific course webpage. If you are a Ph.D student/candidate, you are entitled to a substantially reduced course fee and you can apply for low cost accommodation at the Kiel Institute´s student residence. Do not hesitate to contact us if you need any additional information about forthcoming courses or which options might best fit your needs. Dates Course Title Teacher Location 03 - 09 Sep 2026 Math Camp Kiel 14-18 Sep 2026 Computational Methods and AI for Research Friedrich Geiecke Kiel 22 - 25 Sep 2026 Real Business Cycles and Quantitative Methods Sergio de Ferra Kiel 05-09 Oct 2026 Growth and Search and Matching Federica Romei Kiel 09-20 Nov 2026 Empirical International Finance Christoph Trebesch Kiel 07-11 Dec 2026 New Keynesian Models Andrea Ferrero Kiel Fees and logistics: The fee for individual courses is 1,800 Euros. Doctoral students can get a discount of EUR 900. Kiel doctoral students can join or advanced courses as part of their PhD curriculum. We can offer subsidized housing for selected few external participants at our “Haus Weltclub”, with preference given to students and a price per stay between EUR 200 and EUR 230 for a nice and clean 11-13sqm room with shared but lockable bathroom. For more courses, outlines and application forms visit our webpage.
The Kiel Institute offers external PhD students and professionals the opportunity to participate in advanced courses of its high-level ASP Kiel Ph.D program
Kiel Institute for the World Economy (IFW)
Economic Development, Innovation, Technological Change, and Growth
Agricultural and Natural Resource Economics - Environmental and Ecological Economics
Economic Development, Innovation and Growth (JEL O)
Oxford University Economics Summer School
Applications for Summer School 2026 are now open! Our Summer School gives you the opportunity to complete advanced economics courses taught by internationally renowned economists, whilst immersing yourself in the unique learning experience Oxford provides. Not only that, but our Summer School stands out from the crowd by allowing you to create your own tailor-made learning experience. When you apply you will have the option to select courses in Applied Microeconomics, Macroeconomics or Econometrics; so you can choose morning and afternoon sessions from two different disciplines, or focus on a single field of interest. This allows you to create a tailored learning experience that ensures you get the most out of your time in Oxford. Webinar: Join our webinar to explore the courses offered in the Summer School 2026. Led by our Academic Director, Professor Banu Demir, this session will provide an overview of the courses and what participants can expect from the programme. Date: Wednesday, 13 May 2026 Time: 12:00pm - 12:30pm (BST) Location: Online (via Zoom) Registration Link Drop-In Q&A Sessions Join one of our free Drop-In Q&A Sessions, in which our team will guide you through how this programme works, the course structures, the admissions process, and what you can expect from the academic and social experience. Join our 30-minute session to get quick answers - no preparation required: Thursday, 26 March 2026 Wednesday, 15 April 2026 Tuesday, 5 May 2026 1:00pm - 1:30pm (GMT) 1:00pm - 1:30pm (BST) 3:00pm - 3:30pm (BST) Register Here Register Here Register Here Course Dates: 7 - 11 September 2026 Fees (Two Courses): Professionals: £2,975 Students and Academics: £1,955 Download the Summer School Brochure here. Don’t miss this opportunity to secure your place at a reduced rate and join an inspiring community of learners from around the world. Please note we can only accept payment for the summer school via MasterCard, Visa credit card, Maestro or Visa debit card. As part of your application, you are required to pay an application deposit, which will be deducted from the course payment in case of a successful application. Course and Tutor Information MORNING COURSES<o:p></o:p> <o:p></o:p> Lecture:<o:p></o:p> 09:00 - 11:00<o:p></o:p> <o:p></o:p> Tutorial:<o:p></o:p> 11:30 - 13:00<o:p></o:p> Applied Monetary Economics<o:p></o:p> <o:p></o:p> Professors:<o:p></o:p> Michael McMahon & Silvia Miranda-Agrippino<o:p></o:p> <o:p></o:p> Behavioural Macroeconomics<o:p></o:p> <o:p></o:p> Professor:<o:p></o:p> Alexandre Kohlhas<o:p></o:p> <o:p></o:p> <o:p></o:p> <o:p></o:p> Treatment Effects: Beyond The Basics<o:p></o:p> <o:p></o:p> Professor:<o:p></o:p> Romuald Méango<o:p></o:p> <o:p></o:p> <o:p></o:p> <o:p></o:p> Development Economics <o:p></o:p> <o:p></o:p> <o:p></o:p> Professor:<o:p></o:p> Stefano Caria<o:p></o:p> <o:p></o:p> <o:p></o:p> <o:p></o:p> AFTERNOON COURSES<o:p></o:p> <o:p></o:p> Lecture:<o:p></o:p> 14:00 - 16:00<o:p></o:p> <o:p></o:p> Tutorial:<o:p></o:p> 16:30 - 18:00 International Macroeconomics<o:p></o:p> <o:p></o:p> Professors:<o:p></o:p> Sergio De Ferra & Federica Romei<o:p></o:p> <o:p></o:p> <o:p></o:p> Financial Econometrics<o:p></o:p> <o:p></o:p> <o:p></o:p> Senior Fellow:<o:p></o:p> Cavit Pakel &<o:p></o:p> Professor:<o:p></o:p> Kevin Sheppard<o:p></o:p> <o:p></o:p> Machine Learning<o:p></o:p> <o:p></o:p> <o:p></o:p> Professor:<o:p></o:p> Maximilian Kasy<o:p></o:p> <o:p></o:p> <o:p></o:p> Economics of the Digital and AI Economy<o:p></o:p> <o:p></o:p> Professors:<o:p></o:p> Alexei Parakhonyak &<o:p></o:p> Greg Taylor<o:p></o:p> <o:p></o:p> <o:p></o:p> Apply for the Summer School Now Testimonials “I was a little apprehensive before I came, but these turned out to be the most accessible lectures I’ve ever had in economics. The small class sizes make it easy to speak up and ask questions, and everyone brings a different background and set of strengths.” Laura Bell, Bank of England “A few days on, I’m still reflecting on the incredible week I spent at the Oxford University Economics Summer School. The balance of theory and practical tools sparked new ways of thinking about research and its real-world applications. The faculty, the discussions, and the atmosphere all combined to make it a uniquely engaging and insightful experience that continues to influence my work.” Aditya Bysack, economist “It was a truly intensive and inspiring week that has already given me so many ideas for further research. The lectures, tutorials, and discussions were superbly organised, and the advice and encouragement from faculty have stayed with me long after I returned home.” Marta Czarnecka-Gallas, researcher “It was a pleasure to be back in a university setting, building on concepts from my undergraduate studies and learning new techniques to model, explore, and solve problems. Discussing the policy challenges behind the digital economy made the experience especially engaging and relevant.” Harriet Makin, economist “The experience far exceeded my expectations. It was an honour to learn from distinguished Oxford professors and to apply advanced concepts in seminars using practical tools. Each session broadened my understanding of modern economic research.” Timur Kayaalp, PhD researcher “Over one intensive week I gained new insights, exchanged ideas, and reflected on my research in a broader, international context.” Nils Dellnitz, Doctoral researcher
Oxford University's Summer School is accepting applications for 2026, offering courses in various economics disciplines.
Department of Economics, University of Oxford
Macroeconomics and Monetary Economics (JEL E)
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)
Visualizing Geospatial Data In Stata: Spatial Maps In Stata - Live Online Course
The creation of spatial maps has become a valuable tool for researchers interested in both the spatial data visualization and the identification of geographical patterns in the data. This interactive course therefore, offers an introduction to the mapping techniques currently available in Stata for visualization of geospatial data. The workshop opens with an overview of the peculiar characteristics of geospatial data, the implications of such for the analysis of such data and an overview of the special terminology used in this field, before moving on to discuss the concept of spatial proximity and its relevance to the visualization of spatial data analysis. The remainder of the workshop is dedicated to the principle mapping techniques, using a combination of both official Stata commands and a series of user written commands, currently adopted to visualize geospatial data in Stata. Participants will learn how to import geospatial data shapefiles in Stata and merge them with their existing Stata databases in order to create, compare and customize different mapping techniques. At the end of the course, participants will be able to autonomously implement (with the help of the Stata routine templates specifically developed for the workshop) the appropriate mapping methods, given both the nature of their spatial data and the analysis in hand, within their own research. TARGET AUDIENCE This online course is of particular interest for criminologists, social psychologists, sociologists, economists, epidemiologists and political scientists seeking to acquire the requisite tools required for the exploration and visualisation of spatial data in Stata. PREREQUISITES A knowledge of basic statistics (distributions of variables, position indices, dispersion indices) and the statistical software Stata is recommended. PROGRAM SESSION I: SPATIAL DATA 1. General characteristics of spatial data 2. Types of spatial objects 3. Spatial coordinate systems 4. Maps and shapefiles 5. The transformation of spatial databases SESSION II: SPATIAL PROXIMITY 1. Spatial distance 2. Spatial proximity matrices 3. Spatial lags 4. Spatial autocorrelation SESSION III: VISUAL ANALYSIS OF SPATIAL DATA 1. Visual analytics and data science 2. Thematic maps 3. Dot maps 4. Graduated symbol maps 5. Diagram maps 6. Choropleth Maps 7. Isarithmic Maps 8. Multivariate Maps SUGGESTED READING Anthamatten, P. (2021). How to Make Maps: An Introduction to Theory and Practice of Cartography. Abingdon: Routledge. Lambert, N. & Zanin, C. (2020). Practical Handbook of Thematic Cartography: Principles, Methods, and Applications. Boca Raton, FL: CRC Press. DATE AND LOCATION The next edition of this training course will be offered online on a part-time basis on the 30th of September from 9:00 am to 1:30 pm CET. COURSE LEADERS Professor Maurizio Pisati, University of Milano-Bicocca, Department of Sociology and Social Research, Milan (IT). REGISTRATION FEE AND REGISTRATION FORM Full-time Students*: € 155 Ph.D. Students: € 205 Academic: € 370 Commercial: € 495 *To be eligible for student prices, participants must provide proof of their full-time student status for the current academic year. Our standard policy is to provide all full-time students, be they Undergraduates or Masters students, access to student participation rates. Part-time master and doctoral students who are also currently employed will however, be allocated academic status. Fees are subject to VAT (applied at the current Italian rate of 22%). Under current EU fiscal regulations, VAT will not however applied to companies, Institutions or Universities providing a valid tax registration number. Register Here The number of participants is limited to 8. Places will be allocated on a first come, first serve basis. The course will be officially confirmed, when at least 5 individuals are enrolled. Course fees cover: I) teaching materials – copies of lecture slides, databases and Stata programs specifically developed for the course; ii) a temporary licence of StataNow™ valid for 30 days from the day before the course commences. Individuals interested in attending this course must return their completed registration forms by e-mail to TStat by the 20th of September 2026.
This interactive online course offers an introduction to the mapping techniques currently available in Stata for visualization of geospatial data. The next edition of this training course will be offered online on a part-time basis on the 30th of September.
Urban, Rural and Transportation Economics (JEL R)
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.
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)
2027 Short Course in Dynamic Global Trade Analysis
2027 Short Course in Dynamic Global Trade Analysis "Applied General Equilibrium Analysis using a Dynamic Multi-Region Model" General Information Course Dates (Course phases are not offered independently.) Phase 1 (Online): January 18 - February 28, 2027 Phase 2 (Onsite): March 8-12, 2027 Application Deadline August 30, 2026 Location Purdue University, 403 Mitch Daniels Blvd., West Lafayette, Indiana 47907 USA Offered by Center for Global Trade Analysis, Purdue University Enrollment Fees $5,000 USD Professional (Developed Country) $3,750 USD Professional (Developing Country) $2,500 USD Student (Developed Country) $1,250 USD Student (Developing Country) Why You Should Apply Move Beyond Static Analysis: Model the Global Economy Dynamically! Master dynamic CGE analysis with the GTAP-RD framework - Analyze how the impact of trade and climate policy shocks unfold over time. Develop the skills to design, run, and interpret recursive dynamic simulations using GTAP-RD Models. Address High-Impact Global Policy Challenges - Sharpen your skills to produce policy-relevant analysis. Apply your modeling toolkit to mentored capstone projects focused on real-world impacts of major trade blocks and climate frameworks. Implement real-world baseline scenarios - Learn how to construct business-as-usual baselines using Shared Socioeconomic Pathways (SSPs), projections, and dynamic closures for credible long-run policy analysis. Build proficiency in the dynamic software - Gain extensive hands-on experience with RunDynam through guided labs that translate conceptual model features into operational workflows for scenario setup, policy execution, and result analysis. Learn directly from GTAP experts - Combine flexible online preparation with an immersive onsite residency at Purdue University, collaborating with peers and GTAP experts to deepen understanding and refine your own applications. Course Content The objective of this course is to introduce participants to dynamic economic analysis in an applied general equilibrium setting. This course is designed to provide participants with ample hands-on training with software that has been tailored for undertaking analysis using a dynamic recursive model. Participants will interact with economists working on global trade and environmental issues using a dynamic framework. The end goal of the course is for participants to leave with the capability of conducting and analyzing their own dynamic simulations. Course Structure The GTAP Dynamic Short Course is comprised of an online instruction phase followed by an intensive onsite course delivered by a team of GTAP specialists in data, model construction, and policy analysis. Note that the online and onsite phases of the course are not offered independently. Prerequisites It is expected that applicants have undertaken courses on multi-region general equilibrium analysis (such as the standard GTAP Short Course) or have completed a significant piece of analysis using a dynamic multi-region GE model or another, comparable general equilibrium model. Evidence of the latter (e.g., citations or links to papers, reports, and/or presentations) should be included with application. Application Individuals interested in taking this course must apply on the GTAP website. All applications will be reviewed following the deadline. Those accepted into the course will receive an email including an invitation letter and details for registration and payment. Note that application does not guarantee acceptance.
Join the GTAP Dynamic Short Course at Purdue University for a comprehensive exploration of dynamic economic analysis.
To combat climate change, many countries have committed to achieving net-zero emissions by 2050. The successful transition towards a zero-emission economy will depend on the ability to power energy-related processes with electricity from carbon-free renewable energy sources. This workshop will present state-of-the-art computable general equilibrium (CGE) models that are widely used in applied economic research to study the impacts of emissions reductions policies. The standard top down framework of CGE models will be complemented by a bottom-up representation of the electricity system to capture the pivotal role of carbon-free supply and demand technologies for decarbonizing the economy as a whole. The course will build on seminal peer-reviewed publications combining methodological expertise on hybrid bottom-up/top-down modeling with policy-relevant applications, ranging from technology-specific regulations (e.g. green subsidies, renewable portfolio standards, energy efficiency standards, technology bans) to economy-wide emissions pricing and revenue-rebating schemes (green tax reforms). Guided by a series of lectures and hands-on modeling exercises, participants will develop step by step the capacity to re-formulate model codes towards their own needs in academic research or policy consultancy. Mathematically, the models are formulated and implemented as so-called “mixed complementarity problems” (MCP), stating complementarity of economic equilibrium conditions with associated economic decision variables. The fundamental strength of the MCP format (beyond the standard approach of treating equilibrium conditions as a system of nonlinear equations) is the ability to handle corner solutions and regime shifts that are central to the analysis of sorting decisions, such as discrete technology choices. For the computer implementation of the numerical models the course uses the high-level programming language GAMS (Generalized Algebraic Modeling System) whose notation closely follows standard matrix algebra. The fundamental strength of GAMS lies in the ease with which mathematically defined models can be formulated and solved. The explicit algebraic formulation of general equilibrium conditions and the parameterization of functional forms to characterize technologies and preferences can become very tedious and error-prone, in particular for more complex production and consumption patterns. MPSGE (Mathematical Programming System for General Equilibrium) – which runs as a subsystem under GAMS – provides a short-hand non-algebraic representation for general equilibrium models, releasing economists from the need to write down complicated equilibrium conditions explicitly as well as from the need to set up tedious calibration routines for the parameterization of demand and supply functions. The workshop will show in detail how to transform algebraic CGE models into non-algebraic MPSGE syntax, which can substantially lower the entry barriers and time cost of CGE analysis. Material and teaching is in English. Explore our website for more details! Content: Part 1: Economic Equilibrium, Mixed Complementarity and Mathematical Programming Economic equilibrium in mixed complementarity format Mathematical programs: duality and complementarity Part 2: Bottom-up activity analysis of the electricity system Stylized models of electricity supply and emissions regulations Optimal electricity dispatch under CO2 emissions pricing Part 3: Integration of bottom-up electricity market models into top-down CGE models Standard CGE representation of an energy-economy system Model calibration to observed economic data (functional forms) A hybrid bottom-up/top-down model for climate policy analysis Part 4: MPSGE implementation of CGE models MPSGE syntax Converting CGE models from algebraic MCP formulations into MPSGE From static to dynamic policy analysis Part 5: CGE-based impact assessment of net-zero emissions policies Multi-sector multi-region (baseline) projections until 2050 Build your own large-scale bottom-up/top-down CGE model calibrated to baseline data CGE analysis: the role of carbon backstop and negative emissions technologies for reaching net-zero emissions Instructors: Christoph Böhringer (University of Oldenburg, Germany) Volker Clausen (University of Duisburg-Essen, Germany) Payment: The fee for participating in the training workshop is 2,500 Euro and includes lectures, course material and lunches. Academic participants from accredited universities or research institutions will be admitted on a space-available basis for a discount of 20%. Graduate students from accredited academic institutions are likewise admitted on a space-available basis for a discount of 40%. Please fax or email a copy of your student ID to get the discount. There will be a limited number of scholarships (excluding travel and subsistence expenses) that have been set aside for qualified participants from developing countries. Deadline for the application for a scholarship is June 12, 2026. Preference will be given to applicants who have documented previous experience in general equilibrium modelling with GAMS. To apply for a scholarship in the form of a tuition waiver, send your CV and a research paper via email to the course coordinator Mehmet Burak Akren. A decision on the allocation of scholarships will be made until June 19, 2026, in order to allow for an early arrangement of flights, visa etc. Registration: The registration deadline is September 11, 2026. The maximum number of participants is restricted to 16! Slots are guaranteed only upon full payment of fees through the course coordinator. Cancellations will be fully refunded if made prior to September 11, 2026. No refunds will be made after the registration deadline. For registration or any inquiries, please contact the course coordinator: M. A. Mehmet Burak Akren, email: Mehmet.Akren@vwl.uni-due.de . University of Duisburg-Essen, Department of Economics, 45117 Essen, Germany
20th Ruhr Graduate Summer School: Economic Analysis of Net-Zero Emissions Policies Using GAMS and MPSGE
Ruhr Graduate School in Economics (RGS Econ)
AI Methods in Economics and Finance Research
Learning Objective Understand the fundamentals of machine learning models and large language models Design and implement a basic machine learning pipeline, including data preparation, model training, and evaluation Apply large language models in practical research settings Target Audience This course is designed for researchers with a traditional background in economics and finance who wish to become acquainted with emerging AI tools. Rather than focusing on cutting-edge implementations, the course aims to provide a clear sense of what can be achieved with these techniques, along with initial hands-on practical experience. Dates Course Dates: 25/05/2026 - 27/05/2026 Registration deadline: 06/05/2026 Location EUI Premises in Florence, Italy Level Intermediate, Advanced Approach Quantitative Contact Institution: Florence School of Banking and Finance Address: Villa Schifanoia, Via Giovanni Boccaccio, 121, 50133 Firenze (FI) City: Florence Country: Italy Country Code: IT Fees FULL FEES*: € 950 – Academics € 1900 – Public sector € 2100 – Private sector *Please note that the payment must be settled one week before the start of the course. The fee includes tuition, access to all course materials and pedagogic activities, coffee and lunch breaks and social activities, as well as a certificate of attendance after the course has been completed. The fee does not include travel and accommodation expenses or other local transportation costs (taxis, private cars). Please submit a certificate attesting your status of Professor, PhD Student or Research Associate to fbf@eui.eu before registering. FBF secretariat will provide you with a code to register. Seats for academics are limited. GROUP DISCOUNT (-15%)
General description Research methods have evolved significantly over the past decade, first with the rise of machine learning (ML) approaches and more recently through the use of generative AI tools, such as those based on large language models (LLMs). This course begins with a whirlwind tour of “traditional” AI before progressing to the practical implementation of state-of-the-art LLM workflows.
DAISY Summer School 2026: Data Analytics for Innovation and Sustainability
WHEN AND WHERE September 7-11, 2026 Taranto, Italy APPLY HERE OVERVIEW Recent advances in data availability and analytical techniques have profoundly transformed empirical research in economics. At the same time, innovation and sustainability have become central topics in both academic and policy debates. DAISY responds to these developments by offering a coherent training program that explicitly connects data sources, empirical methods, and applications in recent academic papers. A distinctive feature of DAISY is its strong orientation toward applications and academic papers. Lectures and hands-on sessions are closely linked to recent contributions in leading journals, allowing participants to engage directly with real research examples and empirical strategies. The program combines lectures, practical sessions, and interactive discussions in an international and collaborative learning environment. DAISY is an international summer school designed to train PhD students and early-career researchers in the data, methods, and empirical applications to study innovation and sustainability in Economics. SPEAKERS Gaétan de Rassenfosse (EPFL) Marco Vivarelli (Università Cattolica) Francesco Quatraro (University of Turin) Valeria Costantini (University of Roma Tre) Elisa Giuliani (University of Pisa) Sergio Petralia (Utrecht University) Fabrizio Fusillo (University of Turin) Claudia Ghisetti (University of Milan Bicocca) Gianluca Orsatti (University of Turin) Alessandra Scandura (University of Turin) Martina Iori (Università Cattolica) Alessandra Catozzella (Boston Consulting Group) Massimiliano Coda Zabetta (University of Turin) THE VENUE The venue of the Summer School is the Farm House Tenuta del Barco. Tenuta del Barco Wine Restaurant and Hospitality is located in the heart of Puglia, in a 16th-century farmhouse with a historic courtyard, just steps from the beautiful beaches of the Ionian Sea and surrounded by Primitivo and Negroamaro DOC vineyards. APPLICATION PACKAGE PhD students, postdocs, and young researchers willing to attend the summer school can apply by submitting: A short CV A motivation letter for participating in the summer school A research proposal (maximum 5 pages) or a full paper to present during the student presentation sessions READY TO APPLY? CLICK HERE KEY DEADLINES Deadline for application: 15 June, 2026 Notification of acceptance: 30 June, 2026 Registration and accommodation fee payment: 13 July, 2026 PARTICIPATION FEE Summer school fees for participants (650 euros) include the registration to the summer school (access to all summer school lectures and presentations, 9 breaks, 5 lunches, 2 summer school dinners), and hotel accommodation at the Tenuta del Barco (twin rooms accommodation, i.e., 2 participants per room, with breakfast included, 4 nights, arrival on Monday, departure on Friday).
An international summer school designed for PhD students and early-career researchers focused on data analytics in innovation and sustainability.
4th CINCH-dggö Academy We are proud to launch the fourth edition of the CINCH-dggö Academy in Health Economics focusing this year on the “Causal methods in policy analysis” and “economics of health insurance”. The summer school is jointly organised by CINCH, the national research centre for health economics at the University of Duisburg-Essen, and the dggö, the German Society for Health Economics. The summer school will bring together a group of junior and senior researchers to share a week of expert lectures, research presentations, and special sessions. Expert lectures will be given by Andrew Goodman Bacon (Federal Reserve of Minneapolis) on causal policy analysis and on the economics of health insurance by Professor Sayeh Nikpay (University of Minneapolis). Special sessions include a “Meet the Editor” session with Tatyana Deryugina, editor-in-chief at American Economic Review: Insights and Professor of Finance at University of Illinois at Urbana-Champaign, and special sessions on academic publishing, the academic job market, and speed networking with senior researchers. Each day will conclude with an attractive social and cultural program. Target audience: PhD students and early career postdocs working on health economics and closely related topics. Only 21 students will be admitted. Seniors speakers for special sessions: Pietro Biroli (University of Bologna), Daniel Kühnle (University Duisburg-Essen), Analisa Packham (Vanderbuilt University), Martin Salm (Tilburg University), Reyn van Ewijk (University of Mainz). Registration fees: EUR 350. Fees cover lunches and dinners, and the social program. Application: We accept all empirical papers broadly related to health economics. To apply, send your CV and a full paper to cinch.academy@wiwinf.uni-due.de. We strongly encourage female students and students from disadvantaged backgrounds to apply. Local organiser: Contact Daniel Kühnle, University of Duisburg-Essen, if you have any questions! We look forward to your submissions! Submission deadline: 29 May 2026 Notification of Acceptance: 10 June, 2026.
We are proud to launch the fourth edition of the CINCH-dggö Academy in Health Economics focusing this year on the 'Causal methods in policy analysis' and 'economics of health insurance'.
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.
Summer Courses (A-Z) Applied Public Policy Evaluation Deep Learning Development Economics Economics of Blockchain and Digital Currencies Economics of Climate Change The Economics of Crime Foundations of Machine Learning with Applications in Python From Preference to Choice: The Economic Theory of Decision-Making Inequalities in Health and Healthcare Marketing Research with Purpose Markets with Frictions Modern Toolbox for Spatial and Functional Data Sustainable Finance Explore courses (click) Apply Now! Apply for your favorite course: Tinbergen Institute and Business Data Science Summer School 2026 Faculty Taught by Tinbergen Institute's faculty and visiting experts, our summer school program offers a challenging and rewarding academic experience. Overview Target Group: The courses are open to (research) Master's students, PhD candidates, postdoctoral researchers, and professionals ECTS: 3 (students must register credits at their home university) Teaching Language: English Location: Tinbergen Institute Amsterdam, Roeterseiland campus. Only course Inequalities in Health and Healthcare will be online. We hope to see you this summer! Landing page View all the courses. Receive updates and reminders by signing up for our mailing list. From time to time, we will contact you about our summer school programs. Participants who meet the credit requirements will receive a certificate of participation stating that the summer school is equivalent to a workload of 3 ECTS. Note that it is the student’s own responsibility to get these credits registered at their university. About Tinbergen Institute Tinbergen Institute (TI) is the Graduate School and Research Institute for Economics and Business operated jointly by the Schools of Economics and Econometrics of Erasmus University Rotterdam (EUR), University of Amsterdam (UvA) and Vrije Universiteit Amsterdam (VU). The Tinbergen Institute offers two selective research Master’s programs: one in Economics and another in Business Data Science, both of which are directly connected to PhD opportunities. Admissions are open for both programs for the 2026–2028 academic cycle.
Applications Are Open Tinbergen Institute Summer School 2026 invite you to apply to our summer courses in 13 different topics. How to Apply and Deadline Learn everything about applications and deadlines on Summer School - tinbergen.nl. About The Tinbergen Institute Summer School 2026 offers a diverse selection of courses in Economics and Business Data Science running from June through August. These programs are designed for students seeking a challenging and academically rigorous experience. With small class sizes, participants can engage directly with lecturers and thoroughly explore their chosen fields. All courses are entirely in English. While each course targets a specific audience, they are generally open to (research) Master's students, PhD candidates, postdoctoral researchers, and professionals.
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.
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
TWENTY-FIFTH SUMMER SCHOOL IN INTERNATIONAL AND DEVELOPMENT ECONOMICS
Scientific Committee: Mariapia Mendola (Chair, University of Milan Bicocca, CEPR and LdA), Lucia Corno (Cattolica University, LEAP and CEPR), Giovanna d'Adda (University of Milan and LdA), Andrea Guariso (University of Milan Bicocca, LdA and LEAP), Niccolò Meriggi (University of Oxford and IGC), Marco Sanfilippo (University of Turin, CCA and LdA). Description The school intends to provide an intensive training course for graduate students and young researchers who are working in the field of development and international economics. This year the focus will be on the use of big data and AI in development economics. For further information and teaching material, please refer to: https://dagliano.unimi.it/ or send and email to: centro.dagliano@unimi.it. Participants The school is targeted to graduate students, doctoral students and post-doctoral researchers in economics with a focus on development economics. Students are expected to attend the school full time. Applications and deadlines The participants will be selected by the Selection Committee on the basis of the information included in the application forms and CVs.Please submit your application form together with your CV here. The deadline for submission is 4th May, 2026. Late applications will not be accepted. Applicants will be informed by email about the results no later than 15th June 2026. Location The school will take place at Castello di Gargonza, a medieval village and historic residence in the world-famous Tuscany countryside. The 13th century fortified hamlet is surrounded by more than 600 hectares of forest, olive groves and vineyards and overlooks the Val di Chiana. It is the perfect place for summer schools and conferences, as all the facilities are offered in the same place. Gargonza is also the ideal destination to discover Tuscany. It is located 100 km south-est of Florence between the beautiful cities of Siena and Arezzo. Local information will be provided to participants in due course.
TWENTY-FIFTH SUMMER SCHOOL IN INTERNATIONAL AND DEVELOPMENT ECONOMICS: "Economic Development in the Age of Big Data and AI" 1-4 September 2026, Castello di Gargonza, Tuscany, Italy Lecturers: Samuel Asher (Imperial College Business School, Development Data Lab and CEPR) and Paul Novosad (Dartmouth College and Development Data Lab) Organisers: Centro Studi Luca d’Agliano, Fondazione Collegio Carlo Alberto and Vilfredo Pareto Doctoral Program in Economics of the University of Turin, DEMS- University of Milan Bicocca, Cattolica University, Centre for Economic Policy Research (CEPR), Centre for the Study of African Economies – Oxford University, IGC; in collaboration with the World Bank Institute for Economic Development.
Centro Studi Luca d'Agliano, University of Milan
Summer School on Bayesian Methods for Experimental Economics
Applications for the two events are open! (deadline Feb 20) Summer School: <a href="https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsummerschoolbmee.netlify.app%2F&data=05%7C02%7COumaima.DALI%40um6p.ma%7C418b3664cb4d4fdbd46508de63fa422b%7C39626157a047468987a26fa645cb5cb7%7C1%7C0%7C639058123662241403%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=UIbEsrPzlVFrWPHtdT4tqvixNyOo48VRSTIC90tYQVU%3D&reserved=0" target="_blank">https://summerschoolbmee.netlify.app/ ESA Africa : <a href="https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fairess.fgses-um6p.ma%2FESA-Africa2026&data=05%7C02%7COumaima.DALI%40um6p.ma%7C418b3664cb4d4fdbd46508de63fa422b%7C39626157a047468987a26fa645cb5cb7%7C1%7C0%7C639058123662269984%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=vKI11oX5felKrG2sQe2QxoHRcASQ70V9%2BvYh1L2XkNA%3D&reserved=0" target="_blank">https://airess.fgses-um6p.ma/ESA-Africa2026 The four-day summer school focuses on Bayesian methods in experimental economics—decision models, heterogeneity, structural estimation, RCT analysis, and meta-analysis. Hosted on UM6P’s lovely campus with great amenities (pool, courts, gym): a perfect setting to learn and connect. Confirmed teachers include: Thomas Epper, CNRS, on structural estimations Taisuke Imai, University of Osaka, on meta analyses Fabio Maccheroni, University of Bocconi, on decision science Rafe Meager, University of New South Wales, on Bayesian RCT The summer school is sponsored by ESA and organized in partnership with the Paris School of Economics, and discounted fees apply for students participating in both the UM6P and PSE summer schools. <a href="https://eur03.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.parisschoolofeconomics.eu%2Fen%2Fsummer-school%2Fexperimental-economics%2F&data=05%7C02%7COumaima.DALI%40um6p.ma%7C418b3664cb4d4fdbd46508de63fa422b%7C39626157a047468987a26fa645cb5cb7%7C1%7C0%7C639058123662288797%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=j4DyPAkcoyMLykSS0WuOZ6rxFf5nnB7l6rh2gcRrOUE%3D&reserved=0" target="_blank">https://www.parisschoolofeconomics.eu/en/summer-school/experimental-economics/ If you think these summer schools could be relevant to students or colleagues in your network, please feel free to share this announcement. We will be delighted to welcome you on the beautiful campus of UM6P Rabat in June!
The summer school “Bayesian Methods for Experimental Economics” will be held at University Mohammed VI Polytechnic (UM6P), Rabat, on June 18–21, 2026, immediately following ESA Africa (June 15–17) at the same venue.