ItemList
number of items: 20
total items: 41
item list element: Modern Difference-in-Differences: New Problems, New Solutions - Linear Regression and Panel Data in STATA
item list element: Time Series Modelling and Forecasting using Stata
item list element: CIMS Online Summer Schools: Foundations and Advanced of DSGE Macro Modelling
item list element: Visualizing Geospatial Data In Stata: Spatial Maps In Stata - Live Online Course
item list element: Up and Running in Stata - Live Online Training
item list element: GTAPinR Course
item list element: 2027 Short Course in Dynamic Global Trade Analysis
item list element: Advanced PhD Courses
item list element: Oxford University Economics Summer School
item list element: International Doctoral Courses and Seminars in Health Economics and Policy
item list element: Health Inequality Measurement: Concepts, Methods and Applications (3 days)
item list element: EcoMod ONLINE - Introduction to General Equilibrium Modeling using GAMS
item list element: 20th Ruhr Graduate Summer School
item list element: AI Methods in Economics and Finance Research
item list element: DAISY Summer School 2026: Data Analytics for Innovation and Sustainability
item list element: 4th CINCH-dggö Academy
item list element: Econometrics with EViews: Time Series, and Panel Data
item list element: Tinbergen Institute Summer School
item list element: Microeconomics: The Power of Markets (Online Course)
item list element: TWENTY-FIFTH SUMMER SCHOOL IN INTERNATIONAL AND DEVELOPMENT ECONOMICS
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  generated at: 2026-08-26T09:15:53Z

Modern Difference-in-Differences: New Problems, New Solutions - Linear Regression and Panel Data in STATA
type: Course
title: Modern Difference-in-Differences: New Problems, New Solutions - Linear Regression and Panel Data in STATA
description: 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…
disambiguating description: 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.
date posted: 2026-08-06T12:18:11Z
date modified: 2026-08-24T12:30:45Z
valid through: 2026-09-10T21:59:59Z
start date: 2026-09-18T08:00:00Z
end date: 2026-09-18T21:59:59Z
hiring organization: TStat Training
job location: Place
  address: PostalAddress
    address locality: Milan
    address region: Lombardy
    address country: IT
employment type: onsite
language: en
keywords: Panel data
keywords: TStat Training
keywords: Linear Regression
keywords: Stata Training
keywords: Stata
keywords: TStat
type: course
disciplines: economics
disciplines: socialscience
disciplines: econometricsstatisticsquantitative
disciplines: statistics
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: Econometrics, Statistics and Quantitative Methods (JEL C)
discipline labels: Statistics
more info url: https://www.tstat.eu/formazione/modern-difference-in-differences-new-problems-new-solutions/

Time Series Modelling and Forecasting using Stata
type: Course
title: Time Series Modelling and Forecasting using Stata
description: COURSE DESCRIPTION Time Series data is today available for a wide range of several phenomena in Business, Finance, Economics, Public Health, the Political and Social Sciences. The aim of TStat Training’s Times Series Modelling and Forecasting Course is therefore, to provide researchers and professionals with the standard tool kit required for the analysis of time series data in Stata. As such the program has been developed to offer an overview of the most commonly used methods for analysing, modelling and forecasting the dynamic behaviour of time series data, offering practical examples of empirical modelling using real-world data. The course begins with an introduction to Stata’s basic time series commands, before moving onto the analysis of time series features and to univariate time series models. Sessions 3 and 4 instead focus on the estimation of both multivariate time series models with stationary and nonstationary data and univariate models of volatility. In common with TStat’s training philosophy, throughout the course theory and methods are illustrated in an intuitive way and are complemented by practical exercises undertaken in Stata, during which the course tutor discusses and highlights potential pitfalls and the advantages of individual techniques. Particular attention is also given to both the interpretation and presentation of empirical results. In this manner, the course leader is able to bridge the “often difficult” gap between theory and practice of time series modelling and forecasting. Upon completion, it is expected that participants are able to autonomously implement the statistical methods discussed during the course to their own data, customizing when necessary, the Stata do-file routines specifically developed for the course. TARGET AUDIENCE Researchers and professionals working in financial institutions, policy institutions, research departments of utilities, governments, corporations, Ph.D and Master students in biostatistics, economics, f…
disambiguating description: The course has been developed to offer an overview of the most commonly used methods for analysing, modelling and forecasting the dynamic behaviour of time series data, offering practical examples of empirical modelling using real-world data. TStat Training’s live online training courses are offered interactively via Zoom with a qualified trainer in real-time. All materials (slides, datasets and Stata routines specifically developed for the course) are made available for download before the start of the course. The 2026 edition of this training course will be offered ONLINE on a part-time basis on the 1st-2nd of October and 8th-9th of October.
date posted: 2026-08-13T10:03:08Z
date modified: 2026-08-23T10:00:45Z
valid through: 2026-09-20T21:59:59Z
start date: 2026-10-01T08:00:00Z
end date: 2026-08-09T21:59:59Z
hiring organization: TStat Training
job location type: TELECOMMUTE
employment type: online
language: en
keywords: Time Series Modelling
keywords: Economic Forecasting
keywords: TStat Training
keywords: Stata
keywords: Forecasting
keywords: TStat
type: course
disciplines: othereconomics
disciplines: economics
disciplines: socialscience
disciplines: econometricsstatisticsquantitative
discipline labels: Other Special Economics Topics (JEL Z)
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: Econometrics, Statistics and Quantitative Methods (JEL C)
more info url: https://www.tstat.eu/formazione/training-time-series-modelling-forecasting-stata-ol/

CIMS Online Summer Schools: Foundations and Advanced of DSGE Macro Modelling
type: Course
title: CIMS Online Summer Schools: Foundations and Advanced of DSGE Macro Modelling
description: 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 modell…
disambiguating description: 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.
date posted: 2026-05-09T15:40:23Z
date modified: 2026-08-20T15:10:45Z
valid through: 2026-09-06T21:59:59Z
start date: 2026-09-07T08:00:00Z
end date: 2026-09-18T21:59:59Z
hiring organization: The University of Surrey
job location: Place
  address: PostalAddress
    address locality: Guildford
    address region: England
    address country: GB
job location type: TELECOMMUTE
employment type: online
language: en
keywords: Heterogeneous Agent Model
keywords: Monetary Policy
keywords: New Keynesian Model
keywords: dynare
keywords: Macroeconomics
keywords: DSGE Modelling
keywords: Bayesian Estimation
keywords: Computational economics
type: course
disciplines: economics
disciplines: macroeconomicsmonetary
disciplines: socialscience
disciplines: econometricsstatisticsquantitative
discipline labels: Economics
discipline labels: Macroeconomics and Monetary Economics (JEL E)
discipline labels: Economics and Social Sciences
discipline labels: Econometrics, Statistics and Quantitative Methods (JEL C)
more info url: https://www.surrey.ac.uk/centre-international-macroeconomic-studies/summer-schools

Visualizing Geospatial Data In Stata: Spatial Maps In Stata - Live Online Course
type: Course
title: Visualizing Geospatial Data In Stata: Spatial Maps In Stata - Live Online Course
description: 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 trans…
disambiguating description: 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.
date posted: 2026-01-05T10:20:22Z
date modified: 2026-08-20T08:10:45Z
valid through: 2026-09-20T21:59:59Z
start date: 2026-09-30T08:00:00Z
end date: 2026-09-30T11:30:00Z
hiring organization: TStat Training
job location type: TELECOMMUTE
employment type: online
language: en
keywords: Geospatial Data
keywords: Spatial Maps
keywords: Stata
keywords: Geoeconomics
type: course
disciplines: othereconomics
disciplines: economics
disciplines: socialscience
disciplines: econometricsstatisticsquantitative
disciplines: datascience
disciplines: urbanruraltransportationeconomics
discipline labels: Other Special Economics Topics (JEL Z)
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: Econometrics, Statistics and Quantitative Methods (JEL C)
discipline labels: Data Science
discipline labels: Urban, Rural and Transportation Economics (JEL R)
more info url: https://www.tstat.eu/formazione/visual-analysis-spatial-data-mapping-stata-ol/

Up and Running in Stata - Live Online Training
type: Course
title: Up and Running in Stata - Live Online Training
description: 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. - …
disambiguating 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 next 2026 edition of this training course will be offered online on a part-time basis on the 19th-20th, 22nd-23rd of October from 9:30 am to 1:30 pm CEST.
date posted: 2026-01-14T12:14:12Z
date modified: 2026-08-18T07:50:45Z
valid through: 2026-10-09T21:59:59Z
start date: 2026-10-19T08:00:00Z
end date: 2026-10-23T11:30:59Z
hiring organization: TStat Training
job location: Place
  address: PostalAddress
    address locality: Sulmona
    address region: Abruzzo
job location type: TELECOMMUTE
employment type: online
language: en
keywords: data analysis
keywords: Stata
keywords: webinar
keywords: TStat
type: course
disciplines: economics
disciplines: socialscience
disciplines: econometricsstatisticsquantitative
disciplines: datascience
disciplines: statistics
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: Econometrics, Statistics and Quantitative Methods (JEL C)
discipline labels: Data Science
discipline labels: Statistics
more info url: https://www.tstat.eu/formazione/up-running-stata-2/

GTAPinR Course
type: Course
title: GTAPinR Course
description: 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…
disambiguating description: Enroll in the GTAPinR Course to enhance your GTAP skills with practical tools in R statistical software for policy making.
date posted: 2026-05-24T14:03:06Z
date modified: 2026-08-22T14:10:45Z
valid through: 2027-06-24T21:59:59Z
hiring organization: Purdue University
job location: Place
  address: PostalAddress
    address locality: West Lafayette
    address region: Indiana
    address country: US
job location type: TELECOMMUTE
employment type: online
language: en
keywords: online course
keywords: computable general equilibrium modeling
keywords: GTAP
keywords: R statistical software
type: course
disciplines: microeconomics
disciplines: othereconomics
disciplines: internationaleconomics
disciplines: publiceconomicspolicy
disciplines: socialscience
disciplines: economicdevelopmentgrowth
disciplines: economicsystems
disciplines: economics
disciplines: macroeconomicsmonetary
disciplines: econometricsstatisticsquantitative
disciplines: agriculturalenvironmentaleconomics
disciplines: generaleconomics
disciplines: economicthoughtmethodology
discipline labels: Microeconomics (JEL D)
discipline labels: Other Special Economics Topics (JEL Z)
discipline labels: International Economics (JEL F)
discipline labels: Public Economics & Economic Policy (JEL H)
discipline labels: Economics and Social Sciences
discipline labels: Economic Development, Innovation and Growth (JEL O)
discipline labels: Economic Systems (JEL P)
discipline labels: Economics
discipline labels: Macroeconomics and Monetary Economics (JEL E)
discipline labels: Econometrics, Statistics and Quantitative Methods (JEL C)
discipline labels: Agricultural and Environmental Economics (JEL Q)
discipline labels: General Economics (JEL A)
discipline labels: Economic Thought & Methodology (JEL B)
more info url: https://www.gtap.agecon.purdue.edu/events/GTAPinR/

2027 Short Course in Dynamic Global Trade Analysis
type: Course
title: 2027 Short Course in Dynamic Global Trade Analysis
description: 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 …
disambiguating description: Join the GTAP Dynamic Short Course at Purdue University for a comprehensive exploration of dynamic economic analysis.
date posted: 2026-05-24T14:16:17Z
date modified: 2026-08-22T14:20:45Z
valid through: 2026-08-30T21:59:59Z
start date: 2027-01-18T08:00:00Z
end date: 2027-03-12T22:59:59Z
hiring organization: Purdue University
job location: Place
  address: PostalAddress
    address locality: West Lafayette
    address region: Indiana
    address country: US
employment type: onsite
language: en
keywords: Economics
keywords: dynamics
keywords: baselines
keywords: computable general equilibrium modeling
keywords: Purdue University
keywords: GTAP
keywords: Trade Analysis
type: course
disciplines: microeconomics
disciplines: othereconomics
disciplines: internationaleconomics
disciplines: publiceconomicspolicy
disciplines: socialscience
disciplines: economicdevelopmentgrowth
disciplines: economicsystems
disciplines: economics
disciplines: macroeconomicsmonetary
disciplines: econometricsstatisticsquantitative
disciplines: agriculturalenvironmentaleconomics
disciplines: generaleconomics
disciplines: economicthoughtmethodology
discipline labels: Microeconomics (JEL D)
discipline labels: Other Special Economics Topics (JEL Z)
discipline labels: International Economics (JEL F)
discipline labels: Public Economics & Economic Policy (JEL H)
discipline labels: Economics and Social Sciences
discipline labels: Economic Development, Innovation and Growth (JEL O)
discipline labels: Economic Systems (JEL P)
discipline labels: Economics
discipline labels: Macroeconomics and Monetary Economics (JEL E)
discipline labels: Econometrics, Statistics and Quantitative Methods (JEL C)
discipline labels: Agricultural and Environmental Economics (JEL Q)
discipline labels: General Economics (JEL A)
discipline labels: Economic Thought & Methodology (JEL B)
more info url: https://www.gtap.agecon.purdue.edu/events/Dynamic_Courses/2027/

Advanced PhD Courses
type: Course
title: Advanced PhD Courses
description: 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 …
disambiguating description: 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
date posted: 2019-06-03T08:11:00Z
date modified: 2026-08-03T07:10:45Z
hiring organization: Kiel Institute for the World Economy (IFW)
job location: Place
  address: PostalAddress
    address locality: Kiel
    address region: Schleswig-Holstein
    address country: DE
employment type: onsite
language: en
keywords: Monetary Economics
keywords: Labor and Demographic Economics
keywords: General Economics and Teaching
keywords: Macroeconomics and Monetary Economics
keywords: International Macroeconomics
keywords: Courses
keywords: public economics
keywords: Mathematical and Quantitative Methods
keywords: economic systems
keywords: PhD
keywords: Industrial Organization
keywords: Economic Development, Innovation, Technological Change, and Growth
keywords: economics
keywords: Economic History
keywords: Financial Economics
keywords: International Economics
keywords: Agricultural and Natural Resource Economics - Environmental and Ecological Economics
type: course
disciplines: internationaleconomics
disciplines: economics
disciplines: socialscience
disciplines: economicdevelopmentgrowth
disciplines: generaleconomics
disciplines: finance
discipline labels: International Economics (JEL F)
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: Economic Development, Innovation and Growth (JEL O)
discipline labels: General Economics (JEL A)
discipline labels: Finance
funding options: No
more info url: https://www.kielinstitut.de/institute/events/individual-asp-courses/

Oxford University Economics Summer School
type: Course
title: Oxford University Economics Summer School
description: 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 o…
disambiguating description: Oxford University's Summer School is accepting applications for 2026, offering courses in various economics disciplines.
date posted: 2025-11-20T10:45:15Z
date modified: 2026-07-29T08:10:45Z
valid through: 2026-08-31T21:59:59Z
start date: 2026-09-07T08:00:00Z
end date: 2026-09-11T21:59:59Z
hiring organization: Department of Economics, University of Oxford
job location: Place
  address: PostalAddress
    address locality: Oxford
    address region: England
    address country: GB
employment type: onsite
language: en
keywords: economics
keywords: Oxford
keywords: summer
type: course
disciplines: microeconomics
disciplines: economics
disciplines: macroeconomicsmonetary
disciplines: socialscience
disciplines: econometricsstatisticsquantitative
discipline labels: Microeconomics (JEL D)
discipline labels: Economics
discipline labels: Macroeconomics and Monetary Economics (JEL E)
discipline labels: Economics and Social Sciences
discipline labels: Econometrics, Statistics and Quantitative Methods (JEL C)
more info url: https://ouess.web.ox.ac.uk/september-summer-school

International Doctoral Courses and Seminars in Health Economics and Policy
type: Course
title: International Doctoral Courses and Seminars in Health Economics and Policy
description: 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:/…
disambiguating description: 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.
date posted: 2019-03-07T13:15:00Z
date modified: 2026-07-30T05:00:45Z
hiring organization: Swiss Society of Health Economics (sggö)
job location: Place
  address: PostalAddress
    address locality: Lucerne
    address region: California
    address country: CH
employment type: partiallyonline
language: en
keywords: Policy
keywords: microeconomics
keywords: education
keywords: Health
keywords: Health, Education, and Welfare
keywords: health economics
type: course
disciplines: politics
disciplines: othereconomics
disciplines: economics
disciplines: socialscience
disciplines: economicdevelopmentgrowth
disciplines: healtheducationwelfareeconomics
disciplines: generaleconomics
discipline labels: Politics
discipline labels: Other Special Economics Topics (JEL Z)
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: Economic Development, Innovation and Growth (JEL O)
discipline labels: Health, Education, and Welfare (JEL I)
discipline labels: General Economics (JEL A)
funding options: No
more info url: https://www.sggoe.ch/international-doctoral-courses-in-health-economics-and-policy.html

Health Inequality Measurement: Concepts, Methods and Applications (3 days)
type: Course
title: Health Inequality Measurement: Concepts, Methods and Applications (3 days)
description: This course is taught by three leading researchers in measuring health inequalities and inequities in health care. This is a 3-day course run by Melbourne Health Economics within the Centre for Health Policy at the University of Melbourne. It aims to provide participants with a solid grounding in the theoretical and empirical dimensions of health inequality measurement. By the end of the course, participants will be able to: -Understand and apply core concepts in health inequality measurement, including relative and absolute measures, and rank- and level-dependent approaches -Measure and interpret health poverty using established methodological frameworks -Design and conduct health inequality analyses in practice, including defining research questions, sourcing data, and addressing measurement challenges related to socio-economic status -Distinguish between avoidable and unavoidable health inequalities and apply advanced measurement techniques to real-world evidence -Critically evaluate and report health inequality studies in line with current empirical standards Who is this course designed for? This course is designed for those who are working in or alongside the health sector, including researchers, policy analysts, public health professionals, health economists, and postgraduate students, who wish to deepen their understanding of health inequality measurement. It is particularly suited to those looking to build practical skills in applying theoretical frameworks to real-world data and research contexts. Course Outline The course will involve a series of two modules that build on each other to provide an overview of the steps required for understanding, measuring, and analysing inequality in health and health care. Module 1: Understanding Health Inequality: Concepts, Measurement and Health Poverty An introduction to the core concepts underpinning health inequality measurement, covering relative and absolute measures, rank- and level-dependent inequality indices, m…
disambiguating description: Delivered online across three days, this course covers the theory and practice of health inequality measurement, exploring relative and absolute measures and health poverty.
date posted: 2026-08-25T14:10:37Z
date modified: 2026-08-25T14:23:33Z
start date: 2026-11-17T08:00:00Z
end date: 2026-11-19T22:59:59Z
hiring organization: University of Melbourne
job location type: TELECOMMUTE
employment type: online
language: en
keywords: Health Inequality
keywords: health economics
type: course
disciplines: microeconomics
disciplines: economics
disciplines: socialscience
disciplines: healtheducationwelfareeconomics
disciplines: generaleconomics
discipline labels: Microeconomics (JEL D)
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: Health, Education, and Welfare (JEL I)
discipline labels: General Economics (JEL A)
more info url: https://study.unimelb.edu.au/find/short-courses/health-inequality-measurement-concepts-methods-and-applications-3-days/

EcoMod ONLINE - Introduction to General Equilibrium Modeling using GAMS
type: Course
title: EcoMod ONLINE - Introduction to General Equilibrium Modeling using GAMS
description: 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-o…
disambiguating description: Join a Global Community of Modeling Professionals through the EcoMod ONLINE program.
date posted: 2026-01-15T13:55:50Z
date modified: 2026-07-15T12:30:45Z
hiring organization: EcoMod
job location type: TELECOMMUTE
employment type: online
language: en
keywords: GAMS
keywords: EcoMod
keywords: Online Economics Course
keywords: Economics Training
type: course
disciplines: publiceconomicspolicy
disciplines: economics
disciplines: socialscience
disciplines: econometricsstatisticsquantitative
disciplines: datascience
disciplines: generaleconomics
discipline labels: Public Economics & Economic Policy (JEL H)
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: Econometrics, Statistics and Quantitative Methods (JEL C)
discipline labels: Data Science
discipline labels: General Economics (JEL A)
more info url: https://ecomod.net/modeling-school/ecomod-online

20th Ruhr Graduate Summer School
type: Course
title: 20th Ruhr Graduate Summer School
description: 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 clos…
disambiguating description: 20th Ruhr Graduate Summer School: Economic Analysis of Net-Zero Emissions Policies Using GAMS and MPSGE
date posted: 2026-03-16T13:03:32Z
date modified: 2026-06-18T07:49:06Z
valid through: 2026-09-11T21:59:59Z
start date: 2026-10-05T08:00:00Z
end date: 2026-10-09T21:59:59Z
hiring organization: Ruhr Graduate School in Economics (RGS Econ)
job location: Place
  address: PostalAddress
    address locality: Essen
    address region: North Rhine-Westphalia
    address country: DE
employment type: onsite
language: en
keywords: cge
keywords: GAMS
keywords: economics
keywords: environment
type: course
disciplines: economics
disciplines: macroeconomicsmonetary
disciplines: socialscience
disciplines: agriculturalenvironmentaleconomics
disciplines: generaleconomics
discipline labels: Economics
discipline labels: Macroeconomics and Monetary Economics (JEL E)
discipline labels: Economics and Social Sciences
discipline labels: Agricultural and Environmental Economics (JEL Q)
discipline labels: General Economics (JEL A)
more info url: https://iwb.wiwi.uni-due.de/fileadmin/fileupload/VWL-INT/AGMOV.archiv/RGSS_announcement_2026.pdf

AI Methods in Economics and Finance Research
type: Course
title: AI Methods in Economics and Finance Research
description: 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%)
disambiguating description: 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.
date posted: 2026-04-02T08:00:00Z
date modified: 2026-07-03T11:06:29Z
valid through: 2026-05-06T21:59:59Z
start date: 2026-05-25T08:00:00Z
end date: 2026-05-27T21:59:59Z
hiring organization: Florence School of Banking and Finance
job location: Place
  address: PostalAddress
    address locality: Florence
    address region: Tuscany
    address country: IT
employment type: onsite
language: en
keywords: Economics
keywords: Artificial intellegence
type: course
disciplines: economics
disciplines: socialscience
disciplines: econometricsstatisticsquantitative
disciplines: finance
disciplines: statistics
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: Econometrics, Statistics and Quantitative Methods (JEL C)
discipline labels: Finance
discipline labels: Statistics
more info url: https://fbf.eui.eu/course/ai-methods-in-economics-and-finance-research/

DAISY Summer School 2026: Data Analytics for Innovation and Sustainability
type: Course
title: DAISY Summer School 2026: Data Analytics for Innovation and Sustainability
description: 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 P…
disambiguating description: An international summer school designed for PhD students and early-career researchers focused on data analytics in innovation and sustainability.
date posted: 2026-06-05T08:24:06Z
date modified: 2026-06-05T12:30:01Z
start date: 2026-09-07T08:00:00Z
end date: 2026-09-11T21:59:59Z
hiring organization: University of Turin
job location: Place
  address: PostalAddress
    address locality: Taranto
    address region: Apulia
    address country: IT
employment type: onsite
language: en
keywords: innovation
keywords: economics summer school
keywords: economics
keywords: data analytics
keywords: data science
keywords: summer school
keywords: technology
keywords: LLM
keywords: sustainability
keywords: artificial intelligence
type: course
disciplines: economics
disciplines: socialscience
disciplines: econometricsstatisticsquantitative
disciplines: economicdevelopmentgrowth
disciplines: datascience
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: Econometrics, Statistics and Quantitative Methods (JEL C)
discipline labels: Economic Development, Innovation and Growth (JEL O)
discipline labels: Data Science
more info url: https://www.daisy-summerschool.it/

4th CINCH-dggö Academy
type: Course
title: 4th CINCH-dggö Academy
description: 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 sub…
disambiguating description: 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'.
date posted: 2026-04-30T13:25:39Z
date modified: 2026-05-14T13:30:45Z
valid through: 2026-05-29T21:59:59Z
start date: 2026-08-31T08:00:00Z
end date: 2026-09-04T21:59:59Z
hiring organization: University of Duisburg-Essen (UDE)
job location: Place
  address: PostalAddress
    address locality: Essen
    address region: North Rhine-Westphalia
    address country: DE
employment type: onsite
language: en
keywords: Health Economics
keywords: Summer School
keywords: Research
keywords: CINCH
type: course
disciplines: economics
disciplines: socialscience
disciplines: healtheducationwelfareeconomics
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: Health, Education, and Welfare (JEL I)
more info url: https://amg.wiwi.uni-due.de/cinch-dggoe-academy/events/4th-cinch-dggoe-academy/

Econometrics with EViews: Time Series, and Panel Data
type: Course
title: Econometrics with EViews: Time Series, and Panel Data
description: 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.
disambiguating description: Master Econometrics from Basics to Advanced: OLS, ARDL, VAR, GARCH, Cointegration, Causality & Panel Data Analysis.
date posted: 2025-10-01T08:10:27Z
date modified: 2026-05-09T08:10:45Z
hiring organization: Udemy
job location type: TELECOMMUTE
employment type: online
language: en
keywords: EViews
keywords: econometrics
keywords: data analysis
type: course
disciplines: economics
disciplines: socialscience
disciplines: econometricsstatisticsquantitative
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: Econometrics, Statistics and Quantitative Methods (JEL C)
more info url: https://trk.udemy.com/PODeke

Tinbergen Institute Summer School
type: Course
title: Tinbergen Institute Summer School
description: 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 Sc…
disambiguating description: 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.
date posted: 2024-01-19T12:19:02Z
date modified: 2026-06-15T22:01:30Z
valid through: 2026-08-10T21:59:59Z
start date: 2026-06-29T08:00:00Z
end date: 2026-08-28T21:59:59Z
hiring organization: Tinbergen Institute (TI)
job location: Place
  address: PostalAddress
    address locality: Amsterdam
    address region: North Holland
    address country: NL
employment type: onsite
language: en
keywords: microeconomics
keywords: python
keywords: development
keywords: decision theory
keywords: environmental
keywords: gender
keywords: business
keywords: data science methods
keywords: #AI
keywords: machine learning
keywords: social science
keywords: healthcare
keywords: sustainable finance
keywords: macroeconomics
keywords: econometrics
keywords: computer science
keywords: crime
keywords: applied economics
keywords: #finance
keywords: gender economics
keywords: Artificial intelligence
type: course
disciplines: economics
disciplines: socialscience
disciplines: econometricsstatisticsquantitative
disciplines: datascience
disciplines: finance
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: Econometrics, Statistics and Quantitative Methods (JEL C)
discipline labels: Data Science
discipline labels: Finance
funding options: No
more info url: https://tinbergen.nl/summer-school/

Microeconomics: The Power of Markets (Online Course)
type: Course
title: Microeconomics: The Power of Markets (Online Course)
description: 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%
disambiguating description: Instructor: Rebecca Stein. Enroll for free.
date posted: 2025-10-10T14:04:52Z
date modified: 2026-04-11T07:10:45Z
hiring organization: Coursera
job location type: TELECOMMUTE
employment type: online
language: en
keywords: online course
keywords: microeconomics
type: course
disciplines: microeconomics
disciplines: economics
disciplines: socialscience
discipline labels: Microeconomics (JEL D)
discipline labels: Economics
discipline labels: Economics and Social Sciences
more info url: https://imp.i384100.net/EKobB9

TWENTY-FIFTH SUMMER SCHOOL IN INTERNATIONAL AND DEVELOPMENT ECONOMICS
type: Course
title: TWENTY-FIFTH SUMMER SCHOOL IN INTERNATIONAL AND DEVELOPMENT ECONOMICS
description: 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.
disambiguating description: 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.
date posted: 2026-03-16T14:19:23Z
date modified: 2026-03-16T14:34:15Z
start date: 2026-09-01T08:00:00Z
end date: 2026-09-04T21:59:59Z
hiring organization: Centro Studi Luca d'Agliano, University of Milan
job location: Place
  address: PostalAddress
    address country: IT
employment type: onsite
language: en
keywords: development
keywords: Big data
type: course
disciplines: internationaleconomics
disciplines: economics
disciplines: socialscience
disciplines: economicdevelopmentgrowth
discipline labels: International Economics (JEL F)
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: Economic Development, Innovation and Growth (JEL O)
more info url: https://dagliano.unimi.it/