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item list element: Modern Difference-in-Differences: New Problems, New Solutions - Linear Regression and Panel Data in STATA
item list element: Large Language Models, Graphs and Applications (LLGA) Master's Specialization
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: Ulrich Bindseil Joins Frankfurt School as Professor of Practice in Financial Infrastructure
item list element: 2026 Top-Up Fanno & Foscolo Fellowships
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: 2026 Modigliani Research Grant
item list element: Research & Teaching Assistant (Finance) m/f/d | Part-Time (70%)
item list element: Junior Professorship (W1) with Tenure Track to W2 ”Management of Bio-based Value Chains“
item list element: 2026 Economic Job Market Best Paper Award
item list element: Two Tenure-Track Assistant Professorships (2 x 100%) - Specialisation: Empirical Management Research
item list element: Bias
item list element: Volkswirt/in (m/w/d)
item list element: Economic Analyst Position
item list element: Researcher | Pre-/Post-Doc - Applied Microeconomics
item list element: Economics and Finance Major
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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/

Large Language Models, Graphs and Applications (LLGA) Master's Specialization
type: EducationalOccupationalProgram
title: Large Language Models, Graphs and Applications (LLGA) Master's Specialization
description: The LLGA Master’s specialization is a two-year, fully English-taught degree with a strong international outlook. Designed for ambitious students, the specialization equips graduates with both a solid theoretical foundation and hands-on industry expertise in Generative AI. With a special emphasis on Large Language Models (LLMs) and graph-structured data, students gain the skills to harness cutting-edge technologies and apply them across diverse fields—from healthcare and biology to finance, social networks, and beyond. In recent years, Generative AI has grown explosively, with Large Language Models (LLMs) transforming how society and the economy interact with the digital world. From translation and code generation to creative content and advanced reasoning, these technologies achieve tasks once unimaginable. The LLGA Master’s specialization prepares students to master this field, combining theory with real-world applications. Graph-based models, such as Graph Neural Networks (GNNs), add another layer by capturing complex structures in networks, molecules, or logistics. Together, LLMs and graph methods enable multimodal generative AI, opening opportunities in healthcare, finance, recommendation systems, and beyond. The LLGA specialization provides a strong foundation in machine and deep learning, plus hands-on experience with cutting-edge generative techniques. Through projects, case studies, and industry applications, graduates gain rare expertise, equipping them to lead the next generation of AI innovation. Program Details Master's Degree Industry-Oriented Duration: 2 Years Taught in: English Location: France Credits: 140 ECTS Cost: Up to €15,400 Per Year Academic Prerequisites Students are required to have a suitable background in mathematics and computer science. In practice, this means knowledge of linear algebra, statistics, as well as Python programming, algorithms and data structures. Some exposure to natural language processing and graph theory is desirable, …
disambiguating description: The LLGA Master’s specialization is a two-year, fully English-taught degree focusing on Generative AI and Large Language Models.
date posted: 2026-04-10T14:57:59Z
date modified: 2026-08-24T07:00:45Z
valid through: 2026-10-12T21:59:59Z
start date: 2027-09-01T08:00:00Z
hiring organization: Ecole Polytechnique
job location: Place
  address: PostalAddress
    address locality: Palaiseau
    address region: Île-de-France
    address country: FR
employment type: onsite
language: en
keywords: Polytechnique
keywords: Generative AI
keywords: Large Language Models
keywords: Graph Neural Networks
type: program
disciplines: othereconomics
disciplines: economics
disciplines: socialscience
disciplines: econometricsstatisticsquantitative
disciplines: datascience
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
more info url: https://programmes.polytechnique.edu/en/master/all-msct-specializations/large-language-models-graphs-and-applications-llga

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/

Ulrich Bindseil Joins Frankfurt School as Professor of Practice in Financial Infrastructure
type: NewsArticle
title: Ulrich Bindseil Joins Frankfurt School as Professor of Practice in Financial Infrastructure
description: Frankfurt School of Finance & Management has appointed Ulrich Bindseil as a Professor of Practice in Financial Infrastructure, effective 1 September 2026. Bindseil, a distinguished figure in central banking and financial market infrastructure, is transitioning from the Technische Universität Berlin to strengthen the Economics & Law Department at Frankfurt School. His expertise encompasses payment infrastructures, cross-border transactions, and innovations in currency forms—including stablecoins and central bank digital currencies. This appointment is set to enhance both research and teaching initiatives in the Centre for Digital Economics (C4DE) and the Centre for Central Banking. Markus Reisinger, Head of the Economics & Law Department, expressed enthusiasm about Bindseil’s arrival, underscoring his extensive background in the digital economy and financial technologies. "He is a perfect fit for our department and the Frankfurt School at large," Reisinger stated. Co-Pierre Georg, Director of the Centre for Digital Economics, remarked on the timely nature of Bindseil's expertise, noting it aligns with the ongoing transformation of financial market infrastructures driven by new technologies. Recognized for his international leadership in monetary policy and regulatory frameworks, Bindseil previously served in key positions at the European Central Bank (ECB) and is also a respected author in the field. "I am delighted to join Frankfurt School, where I can help bridge central banking with digital innovations," said Bindseil, highlighting the school’s unique positioning during this pivotal growth phase in financial technologies. Read the full press-release: frankfurt-school.de
disambiguating description: Frankfurt School of Finance & Management welcomes Professor Ulrich Bindseil from Technische Universität Berlin to bolster its Centres for Digital Economics and Central Banking from September 1, 2026. Bindseil, an expert in central banking and financial infrastructures, will enhance research and education, focusing on payments and monetary innovations like stablecoins and digital currencies.
date posted: 2026-08-24T10:03:44Z
date modified: 2026-08-24T10:10:00Z
employment type: onsite
language: en
keywords: Central Banking
keywords: Ulrich Bindseil
keywords: Frankfurt School of Finance and Management
keywords: Education
keywords: Finance
keywords: Financial Infrastructure
keywords: Digital Economy
type: news
disciplines: economics
disciplines: financialeconomics
disciplines: socialscience
disciplines: finance
disciplines: economicsystems
discipline labels: Economics
discipline labels: Financial Economics (JEL G)
discipline labels: Economics and Social Sciences
discipline labels: Finance
discipline labels: Economic Systems (JEL P)

2026 Top-Up Fanno & Foscolo Fellowships
type: EducationalOccupationalProgram
title: 2026 Top-Up Fanno & Foscolo Fellowships
description: 2026 Top-Up Fanno & Foscolo Fellowships Target: Students and researchers Category: Research support Date: 20 July 2026 - 30 October 2026 This initiative aims to attract and retain outstanding PhD graduates in Economics or Finance by enabling academic institutions to offer internationally competitive compensation packages, consistently with UniCredit Foundation mission to invest in talent and promote academic excellence in Europe. Fellowship Details UniCredit Foundation will award 7 Top-Up fellowships (2 Marco Fanno and 5 Ugo Foscolo), intended for university departments or research institutes in Economics or Finance located in countries where the UniCredit Group operates. The fellowships consist in salary top-ups aimed at supporting and recognizing outstanding researchers. Total value: €150,000 for each fellowship Duration: 3 years Eligibility Criteria To be eligible, applicants must meet the following criteria: Be departments or research institutes in Economics, Finance, or related fields Be located in one of the Countries where UniCredit Group operates Recruit outstanding job market candidates through internationally recognized selection processes, including participation in global PhD job markets such as the US job market or equivalent European placement processes Apply rigorous and transparent evaluation methods aimed at appointing exceptional early-career scholars to post-doctoral or tenure-track positions. Key Dates Application deadline: 30 October 2026 Announcement of winners: by 11 December 2026 This initiative reflects UniCredit Foundation’s commitment to investing in young talent, supporting academic excellence, and fostering the next generation of economists and researchers. Download the announcement Apply Eligibility Who can apply? Applications can be submitted by departments or research institutes active in Economics, Finance, or related fields. Can individual candidates apply for a fellowship? No. The fellowship is awarded to the institution which subs…
disambiguating description: UniCredit Foundation announces the opening of the Top-Up Fanno & Foscolo fellowships competition for students and researchers in Economics and Finance.
date posted: 2026-08-13T10:05:45Z
date modified: 2026-08-24T09:10:00Z
valid through: 2026-10-30T22:59:59Z
hiring organization: UniCredit Foundation
job location: Place
  address: PostalAddress
    address locality: Milan
    address region: Lombardy
    address country: IT
employment type: onsite
language: en
keywords: economics
keywords: research support
keywords: fellowship
keywords: finance
type: scholarship
disciplines: economics
disciplines: socialscience
disciplines: generaleconomics
disciplines: finance
disciplines: economicsystems
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: General Economics (JEL A)
discipline labels: Finance
discipline labels: Economic Systems (JEL P)
more info url: https://www.unicreditfoundation.org/en/open-calls/2026-top-up-fanno-and-foscolo-fellowships

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/

2026 Modigliani Research Grant
type: EducationalOccupationalProgram
title: 2026 Modigliani Research Grant
description: Target Students and researchers Category Research support Call Open 20 July 2026 - 16 October 2026 The initiative aims to support and recognise outstanding early-career researchers in the fields of economics and finance, enabling them to pursue innovative research projects and contribute to the advancement of academic research, in line with UniCredit Foundation’s mission to invest in talent and promote scientific excellence. Research Grant Details UniCredit Foundation will award 4 research grants to researchers of any nationality employed at European universities located in Countries where UniCredit Group operates. At least one of the four grants will be awarded to a female candidate. Grant amount: €25,000 gross per year, renewable for a second year, up to a maximum total amount of €50,000 gross per recipient Duration: up to two years. Key Dates Application deadline: 16 October 2026 Announcement of winners: by 1 February 2027 This initiative reflects UniCredit Foundation’s commitment to investing in young talent, supporting academic excellence and fostering the next generation of economists and researchers. - Download the announcement - Apply Eligibility Who can apply for the grant? The competition is open to young researchers of any nationality employed at European universities located in the countries where UniCredit Group operates (see following question). Which countries are considered part of UniCredit’s footprint? The eligible countries are: Austria, Bosnia and Herzegovina, Bulgaria, Croatia, Czech Republic, Germany, Hungary, Italy, Poland, Romania, Serbia, Slovakia, and Slovenia. Is there an age limit? Yes, applicants must be born on or after 1 January 1991. Exceptions apply: female candidates: +1 year per child; male candidates: extension equivalent to documented parental leave. What academic qualifications are required? Applicants must hold a PhD in economics, finance, or a related quantitative field (e.g., statistics, mathematics, data science) with a demo…
disambiguating description: UniCredit Foundation is pleased to announce the launch of the 17th edition of the Modigliani Research Grant, established in memory of Nobel Laureate Franco Modigliani.
date posted: 2026-08-10T08:30:05Z
date modified: 2026-08-20T08:40:00Z
valid through: 2026-10-16T21:59:59Z
hiring organization: UniCredit Foundation
job location: Place
  address: PostalAddress
    address locality: Milan
    address region: Lombardy
    address country: IT
employment type: onsite
language: en
keywords: Unicredit Foundation
keywords: Modigliani Research Grant
type: scholarship
disciplines: economics
disciplines: financialeconomics
disciplines: socialscience
disciplines: econometricsstatisticsquantitative
disciplines: generaleconomics
disciplines: finance
discipline labels: Economics
discipline labels: Financial Economics (JEL G)
discipline labels: Economics and Social Sciences
discipline labels: Econometrics, Statistics and Quantitative Methods (JEL C)
discipline labels: General Economics (JEL A)
discipline labels: Finance
more info url: https://www.unicreditfoundation.org/en/open-calls/2026-modigliani-research-grant-in-memory-of-franco-modigliani

Research & Teaching Assistant (Finance) m/f/d | Part-Time (70%)
type: JobPosting
title: Research & Teaching Assistant (Finance) m/f/d | Part-Time (70%)
description: What you can look forward to: - A “we, not me” culture – a highly collaborative, team-oriented work atmosphere with open and honest communication - A “can do” spirit – we are looking for people who want to make a difference - Exciting research projects for doctoral studies and intensive exchange with the supervising professors - Close integration of theory and practice Your responsibilities - Conduct quantitative data analysis, support empirical research projects, and manage, clean, and analyze survey and field data using statistical software - Apply artificial intelligence (AI), blockchain, and digital technologies to support innovative research projects, particularly in agricultural and related fields - Collaborate with researchers, prepare research materials, and ensure accurate documentation of research findings - Support the preparation, supervision, and delivery of courses, tutorials, and guidance for bachelor’s and master’s theses - Contribute to scientific and practice-oriented publications, academic collaborations, and the communication of research results Your profile - A strong Master’s degree (good to very good) in Economics, Mathematics, Computer Science, or a closely related quantitative discipline, demonstrating solid analytical, statistical, and methodological expertise - Strong quantitative and analytical skills with experience in empirical research and statistical analysis - Proficiency in statistical software such as MATLAB, R, Stata, or similar programming tools - Experience with randomized controlled trials, field survey data, and research methods in development economics - Highly motivated, responsible, and independent researcher with the ability to work effectively in an academic environment We seek the best candidates. In doing so, we value personality, talent, determination, and character. We expressly emphasize that all individuals—regardless of gender, nationality, ethnic or social background, religion/ideology, disability, age, or sexual …
disambiguating description: Enrich EBS. We are a private university dedicated to educating tomorrow’s leaders who strive to make a difference in the world -economically, socially, and ecologically. We aim to help shape global transformation through outstanding knowledge transfer and the promotion of strong interpersonal skills. At EBS Business School, EBS Law School, and EBS Executive School, a total of 2,200 students and professional development participants engage in learning and research. With our education philosophy of Challenge-Based Learning, personalized coaching, extracurricular engagement, and a powerful alumni network, EBS holds a unique position in the German higher education landscape. We are part of SRH—a leading provider of education and healthcare services with 17,000 employees. SRH operates private universities, educational centers, schools, and hospitals. We are looking for a research assistant (m/f/d) for the Chair of Finance (Prof. Raša Karapandža Ph.D.) at EBS Business School, starting September 1st, 2026.
date posted: 2026-08-18T10:00:00Z
date modified: 2026-08-24T09:50:45Z
start date: 2026-09-01T08:00:00Z
hiring organization: EBS University of Business and Law
job location: Place
  address: PostalAddress
    address country: DE
employment type: onsite
language: en
keywords: EBS University
keywords: Academic Jobs in Finance
keywords: Teaching Assistant Finance
keywords: Research Assistant Finance
type: job
disciplines: economics
disciplines: financialeconomics
disciplines: socialscience
disciplines: finance
discipline labels: Economics
discipline labels: Financial Economics (JEL G)
discipline labels: Economics and Social Sciences
discipline labels: Finance
more info url: https://www.srh-karriere.de/alle-jobs/stellenangebot/research-teaching-assistant-finance-mfd-part-time-70-oestrich-winkel

Junior Professorship (W1) with Tenure Track to W2 ”Management of Bio-based Value Chains“
type: JobPosting
title: Junior Professorship (W1) with Tenure Track to W2 ”Management of Bio-based Value Chains“
description: Martin Luther University Halle-Wittenberg's aim in offering the junior professorship with tenure track is to enable young academics with excellent prospects to become independent at an early stage of their career and to offer them long-term career prospects. The junior professorship with tenure track is aimed at academics in the early career phase. At the Faculty of Natural Sciences III, Institute of Agricultural and Nutritional Sciences (IAEW) at Martin Luther University Halle-Wittenberg, the following position is to be filled: Junior Professorship (W1) with Tenure Track to W2 ”Management of Bio-based Value Chains“ We are seeking a candidate with in-depth knowledge and an outstanding doctorate in agricultural economics or related disciplines. The candidate should be involved in research and teaching in the field of demand-oriented management of bio-based value chains and after completing the tenure track, will represent the entire broad spectrum of the subject area in research and teaching. Bio-based value chains form the basis of modern sustainable agriculture. Appropriate management of bio-based value chains should reduce negative social externalities and promote positive economic, ecological and social development, at the same time being subject to dynamic change. On the one hand, there are technological innovations, e.g. in the substitution of fossil raw materials in the bioeconomy, the cascade use of plant and animal products, and the efficient use of resources through circular economy. On the other hand, change arises from organisational innovations within value chains, for example through digitised and automated business processes, as well as digital and platform-based transactions between stakeholders. The junior professor therefore will focus on examining the impact of innovations on businesses, end consumers and the agri-environmental system across the value chain – always from a business management and strategic planning perspective. Relevant areas of re…
disambiguating description: We are seeking a candidate with in-depth knowledge and an outstanding doctorate in agricultural economics or related disciplines.
date posted: 2026-08-24T08:19:30Z
date modified: 2026-08-26T09:13:32Z
valid through: 2026-10-18T21:59:59Z
hiring organization: Martin-Luther-Universität Halle-Wittenberg
job location: Place
  address: PostalAddress
    address locality: Halle (Saale)
    address region: Saxony-Anhalt
    address country: DE
employment type: onsite
language: en
keywords: agricultural economics
keywords: Professorship
type: job
disciplines: economics
disciplines: socialscience
disciplines: datascience
disciplines: agriculturalenvironmentaleconomics
disciplines: businesseconomics
disciplines: statistics
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: Data Science
discipline labels: Agricultural and Environmental Economics (JEL Q)
discipline labels: Business Economics (JEL M)
discipline labels: Statistics
more info url: https://api.relaxx.center/r/1382c2d000994552aef30251e2293fb2

2026 Economic Job Market Best Paper Award
type: EducationalOccupationalProgram
title: 2026 Economic Job Market Best Paper Award
description: Target: Students and researchers Category: Research support Date: 20 July 2026 - 12 October 2026 The Award aims to promote excellence in economic research by recognising outstanding Job Market papers and enhancing the visibility of the most talented young economists as they enter the international academic job market, in line with UniCredit Foundation’s mission to invest in talent and support the next generation of researchers. Award Details UniCredit Foundation will award 5 prizes of €1,000 gross each. The Award is granted directly to individual candidates, irrespective of their nationality or the university at which they are enrolled. Preference is given to single-authored papers demonstrating high levels of originality and publication potential. Key Dates Application submission deadline: 12 October 2026 Announcement of winners: by 20 November 2026 Download the announcement For further information email: info@unicreditfoundation.org Apply Here Eligibility Who is eligible to apply? Applicants must be PhD candidates or PhD graduates that will participate to the European Job Market for Economists 2026. Is registration for the European Job Market for Economists required? Yes. Registration for the European Job Market for Economists 2026 is a mandatory eligibility requirement. Applicants must provide evidence of participation, such as a confirmation email or a screenshot of the relevant registration or participation webpage. Can recent PhD graduates apply? Yes. Both PhD candidates and recent PhD graduates who are participating in the EJM 2026 may apply. Can applicants from non-European universities participate? Yes. Eligibility is not restricted by geographic location or university nationality, provided the applicant is participating in the European Job Market for Economists 2026.
disambiguating description: UniCredit Foundation announces the launch of the 13th edition of the Economic Job Market Best Paper Award, promoted in collaboration with the European Economic Association.
date posted: 2026-08-06T10:04:14Z
date modified: 2026-08-17T06:10:00Z
valid through: 2026-10-12T21:59:59Z
hiring organization: UniCredit Foundation
job location: Place
  address: PostalAddress
    address locality: Milan
    address region: Lombardy
    address country: IT
job location type: TELECOMMUTE
employment type: online
language: en
keywords: Economics
keywords: Research
keywords: Best Paper Award
keywords: Economic Job Market
type: scholarship
disciplines: othereconomics
disciplines: economics
disciplines: socialscience
disciplines: generaleconomics
discipline labels: Other Special Economics Topics (JEL Z)
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: General Economics (JEL A)
more info url: https://www.unicreditfoundation.org/en/open-calls/2026-economic-job-market-best-paper-award

Two Tenure-Track Assistant Professorships (2 x 100%) - Specialisation: Empirical Management Research
type: JobPosting
title: Two Tenure-Track Assistant Professorships (2 x 100%) - Specialisation: Empirical Management Research
description: The two professorships are in empirical management research, with a particular interest in the opportunities and challenges associated with digital transformation, data-driven decision-making, and the increasing use of artificial intelligence in organisations and the wider economy. Relevant research areas include decision research, human resource management, managerial accounting, innovation and digitisation, industrial organisation, information systems, data science for business, and related areas of empirical management research. Methodologically, the research profiles should be grounded in quantitative empirical approaches, including field or laboratory experiments and/or the analysis of organisational, personnel, or other data sources using modern quantitative methods. Successful candidates fit well with the faculty’s existing research cluster in applied microeconomics and econometrics and contribute to collaboration and exchange across research groups. Ideal candidates therefore also build on perspectives from microeconomics and address topics of societal relevance related to the existing research cluster. Your responsibilities Conducting methodologically rigorous and societally relevant empirical management research, guided by open science practices. Publishing regularly in high-quality scientific journals in the field. Actively participating in relevant national and international workshops and conferences. Supervising Bachelor’s, Master’s, and doctoral theses. Acquiring competitive third-party funding from institutions such as the Swiss National Science Foundation and other Swiss or international funding bodies. Establishing research and teaching cooperations with other universities and with other faculties at UniDistance Suisse. Teaching in the faculty’s Bachelor programmes (in German, French, and/or English) and/or in the Master’s and Doctoral programmes (in English). Developing and implementing innovative teaching methods, with a particular focus on e-lear…
disambiguating description: UniDistance Suisse offers fully online university degree programmes and is accredited under the Swiss Higher Education Act (HEdA). It combines flexible, location-independent, part-time distance learning with an active, interdisciplinary research culture on its campus in Brig. Across five faculties – Law, Psychology, Business & Economics, History, and Mathematics & Computer Science – we have been shaping modern teaching, learning, and research for more than 30 years. Today, UniDistance Suisse has over 2,700 students and around 550 staff members. To further support the growth and development of UniDistance Suisse, the Faculty of Business & Economics invites applications for two Tenure-Track Assistant Professorships (2 x 100%), Specialisation: Empirical Management Research Place of work: Brig | Start of work: 1 February 2027 or upon agreement
date posted: 2026-06-26T09:59:31Z
date modified: 2026-08-17T09:20:45Z
valid through: 2026-09-13T21:59:59Z
start date: 2027-02-01T08:00:00Z
hiring organization: UniDistance
job location: Place
  address: PostalAddress
    address locality: Brig
    address region: Valais
    address country: CH
employment type: onsite
language: en
keywords: Assistant Professorship
keywords: Distance Learning
keywords: Empirical Management Research
type: job
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://unidistance.ch/en/career/detail/two-tenure-track-assistant-professorships-empirical-management-research

Bias
type: CreativeWork
title: Bias
description: Understanding bias Bias means that an estimator we’re using to learn about a real-world phenomenon is not accurate. It’s not hard to see that this is a bad thing! On the flip side, if an estimator is unbiased, it’s (usually) accurate and thus we can trust it without doing any further work. The linguistic definition of bias varies and can be misleading, but the mathematical definition is precise. We’ll use it to explore the concept of bias further. It states: \begin{equation*} \mathbb{E}(\hat{\beta}) - \beta = 0 \end{equation*} Or, equivalently, \begin{equation*} \mathbb{E}(\hat{\beta}) = \beta \end{equation*} This equation says “the expectation of our estimator of beta minus the true value of beta is zero”, or equivalently, “the expectation of our estimator of beta equals the true value of beta”. Beta is simply a Greek letter that’s most often used to denote a regression coefficient; here, it symbolizes the effect we’re interested in studying. The expectation symbol (the fancy “E”) is a very important part of this definition: it gives the expected value, or mean, of the quantity inside it. (If you need touching up on mathematical symbols, we’ve got you covered.) Let’s dig deeper into how this works. The expectation of a constant is trivial, since constants don’t vary and the mean of a constant is itself. So for example, the expectation of 4 is just 4. Not very exciting. But when it comes to random variables that can take on many different values — like “the number of heads in 5 coin flips” — the expectation is suddenly very useful. It tells us what our “best bet” is: the average (or most likely) outcome. Of course, in 5 coin flips, the expected number of heads is 2.5, and it’s impossible to get 2.5 heads out of 5 flips. But, this is still an intuitive way to think about it. Therefore, the expectation of our estimator \hat{\beta} tells us its expected value, or in other words, what we’d guess it would be if we ran an experiment to measure it. When we’re using this es…
disambiguating description: Nobody wants to be biased! But rather than suggest someone isn’t a fair judge, “bias” in economics has a very specific — and perhaps equally distasteful — meaning. This econometric concept is borrowed straight from the field of statistics, just like its cousin, variance. Both bias and variance have very important roles to play in our analysis of real-world data via regression analysis, and they’re linked together through the bias-variance tradeoff. Regression analysis is an important tool in the modern economists’ toolkit (as well as any other scientist or data analyst!). With it, we have methods to test economic theories and understand how certain processes or variables affect others. In our article on regression analysis, we touched on several factors that can complicate an analysis and lead to incorrect conclusions. Bias is one such factor.
date posted: 2026-08-17T15:18:45Z
date modified: 2026-08-17T15:20:00Z
employment type: onsite
language: en
keywords: Regression Analysis
keywords: Bias
keywords: INOMICS Economics Terms
keywords: Economics Terms
keywords: Variance
type: terms
disciplines: economics
disciplines: socialscience
disciplines: econometricsstatisticsquantitative
disciplines: statistics
disciplines: economicthoughtmethodology
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: Econometrics, Statistics and Quantitative Methods (JEL C)
discipline labels: Statistics
discipline labels: Economic Thought & Methodology (JEL B)

Volkswirt/in (m/w/d)
type: JobPosting
title: Volkswirt/in (m/w/d)
description: als wissenschaftliche/n Referentin/Referenten des Vorstands. Neben der Erledigung unterstützender Aufgaben für den Vorstand des RWI in allen Bereichen des Wissenschaftsmanagements besteht die vielseitige Tätigkeit in der wissenschaftlichen Forschung in einem der Forschungsschwerpunkte des Instituts. Von Bewerbern/Bewerberinnen wird erwartet, dass sie neben einem Prädikatsexamen und ersten Erfahrungen in der wissenschaftlichen Forschung über fundierte Kenntnisse in ökonomischer Theorie und angewandter Ökonometrie sowie über die Fähigkeit zum eigenständigen Arbeiten innerhalb eines Teams verfügen. Darüber hinaus setzen wir Belastbarkeit, Flexibilität, Organisationstalent, ausgezeichnete Ausdrucksformen in Wort und Schrift und sehr gute Fremdsprachenkenntnisse (v.a. Englisch) voraus. Ebenso erwarten wir Kenntnisse im Umgang mit gängiger Software (insbesondere statistisch-ökonometrischen Programmen). Erste Ein-blicke in die Organisationsstrukturen einer Forschungseinrichtung und das Wissenschaftsmanagement sind wünschenswert. Die Stelle ist mit der Möglichkeit zur Promotion verbunden, die im Rahmen eines strukturierten Doktorandenprogramms am RWI aktiv unterstützt wird. Die Stelle ist in Vollzeit zu besetzen und ist zunächst voraussichtlich für die Dauer von zwei Jahren befristet, die Befristungsdauer orientiert sich an der angestrebten Qualifizierung. Eine Verlängerung ist möglich und erwünscht. Die Vergütung erfolgt nach dem Tarifvertrag für den öffentlichen Dienst der Länder (TV-L) mit den Sonderregeln für Beschäftigte an Hochschulen und Forschungseinrichtungen entspre- chend der mit der Stelle einhergehenden Verantwortung in der Entgeltgruppe 13. Die Beachtung der Schwerbehindertenrichtlinien und der Vorschriften des Gesetzes über Teilzeitarbeit ist gewährleistet. Wir fördern die Gleichstellung aller Geschlechter. Bitte richten Sie die üblichen Bewerbungsunterlagen, gerne auch per E-Mail, unter Angabe der Kennziffer 70001-06/26 bis zum 31. August 2026 an RWI – Leibn…
disambiguating description: Das RWI – Leibniz-Institut für Wirtschaftsforschung ist ein führendes Zentrum für wirtschaftswissenschaftliche Forschung und evidenz- basierte Politikberatung in Deutschland und wird überwiegend aus Mitteln des Bundes und der Länder finanziert. Das Institut informiert mit seinen Arbeiten über ökonomische Entwicklungen und deren Ursachen, erleichtert Politik und Unternehmen sachgerechte Entschei-dungen und fördert in der Öffentlichkeit das Verständnis für wirtschaftliche Zusammenhänge. Das Institut sucht zum nächstmöglichen Zeitpunkt eine/n
date posted: 2026-07-27T08:00:00Z
date modified: 2026-08-15T08:00:45Z
valid through: 2026-08-31T21:59:59Z
hiring organization: RWI – Leibniz-Institut für Wirtschaftsforschung
job location: Place
  address: PostalAddress
    address locality: Essen
    address region: North Rhine-Westphalia
    address country: DE
employment type: onsite
language: de
keywords: economist
type: job
disciplines: economics
disciplines: socialscience
disciplines: generaleconomics
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: General Economics (JEL A)

Economic Analyst Position
type: JobPosting
title: Economic Analyst Position
description: Description: Role Purpose: Support economic and financial analysis of utility networks by evaluating CAPEX, OPEX, lifecycle costs, and investment decisions to improve cost efficiency, resilience, and service performance. Key Responsibilities: Data Assessment: Identify data gaps, assess data quality, and recommend improvements for cost analysis. Benchmarking: Analyze CAPEX, OPEX, and maintenance costs; benchmark against international utilities; identify efficiency gaps. Techno-Economic Analysis: Evaluate Security of Supply Standards (SoSS), resilience, and service levels; assess cost vs reliability trade-offs. Value Engineering: Conduct lifecycle cost analysis; identify cost-saving design and material alternatives. Standards & Specifications: Perform cost-benefit analyses for new technologies and standards; support investment decisions. Digital Tools Support: Develop cost models and support investment prioritization tools. Qualifications: Bachelor’s degree in Finance, Accounting, Economics, or related field. Professional certifications preferred (e.g., CFA, CPA, or FMVA). Advanced degree (MBA / MSc Finance) desirable. Minimum 10 years of work experience. Experience in water, energy or infrastructure sectors preferred. Preferred Specifications: CAPEX/OPEX budgeting, forecasting, and variance analysis. Financial modelling and business case evaluation (ROI, NPV). Strong accounting knowledge (cost allocation, capitalization). Advanced Excel and ERP systems (e.g., SAP) proficiency. Data analysis and reporting (insight generation for decision-making). Stakeholder coordination with finance, engineering, and operations teams. Cost-benefit and investment analysis (NPV, IRR). About Stantec: We’re active members of the communities we serve. That’s why at Stantec we always design with community in mind. We believe growing a great design company happens from the inside out. We look for people who are drawn to use every talent they possess, plus creativity, determination and a dri…
disambiguating description: Join Stantec as an Economic Analyst in Abu Dhabi to support economic and financial analysis of utility networks.
date posted: 2026-08-21T13:35:17Z
date modified: 2026-08-21T13:40:00Z
hiring organization: Stantec
job location: Place
  address: PostalAddress
    address locality: Abu Dhabi
    address region: Abu Dhabi
    address country: AE
employment type: onsite
language: en
keywords: economics
type: job
disciplines: economics
disciplines: socialscience
disciplines: generaleconomics
disciplines: finance
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: General Economics (JEL A)
discipline labels: Finance
more info url: https://stantec.jobs/abu-dhabi-are/economic-analyst/5BDC60D888314202AADE982037118D4E/job/

Researcher | Pre-/Post-Doc - Applied Microeconomics
type: JobPosting
title: Researcher | Pre-/Post-Doc - Applied Microeconomics
description: The position is available from October 2026 for a period of four years, with the option of extension. A part-time arrangement is possible. Our research and teaching focus on the economic behaviour of firms and individuals in the context of globalisation, migration, and structural change. A central element of our research is the empirical analysis of economic phenomena based on large individual-level datasets. Your responsibilities will include: • teaching duties amounting to 4 hours per week during term time (Semesterwochenstunden) • your own research, comprising at least 50 percent of working time, in pursuit of further academic qualification (e.g. PhD or habilitation), publications • supporting the Chair's research activities as well as contributing to academic self-administration Your profile: • Master degree in economics or a related field • interest in and knowledge of applied microeconomics and international economics • interest in, and very good knowledge of, econometrics and the application of empirical methods • very good programming skills in R and/or Stata • very good command of spoken and written English • initiative, creativity, and strong analytical skills • a keen interest in research Desirable selection criteria • experience and expertise in working with individual-level and/or foreign trade data • experience in developing and implementing independent research ideas We offer: • attractive remuneration with financial stability, regular pay adjustments, and an annual special payment • occupational benefits (e.g. retirement provision through VBL, capital-forming benefits, job ticket) • collectively agreed annual leave plus non-working days on 24 and 31 December • flexible working arrangements and family-friendly working conditions • and much more… Please submit your application, quoting the above reference number, as a single PDF file by 20.09.2026 to: bewerbung@europa-uni.de (application data will be deleted without delay once the selection procedure h…
disambiguating description: Europa-Universität Viadrina is an internationally and interdisciplinarily oriented university located in the twin city of Frankfurt (Oder)-Słubice, on the German and Polish banks of the River Oder, where it educates around 4,000 students from all over the world. The university lives the European idea in its everyday practice and promotes European integration through teaching and research. With around 300 academic and 300 non-academic staff, it forms a community for which successful communication and cooperation with Eastern Europe are a particular concern. The Chair of Economics, in particular Applied Microeconomics at the Faculty of Business Administration and Economics invites applications for the position of Researcher | Pre-/Post-Doc Reference number 1201-26-01 (up to pay grade 13 TV-L, 40 hours/week)
date posted: 2026-08-20T09:51:48Z
date modified: 2026-08-20T10:00:00Z
valid through: 2026-09-20T21:59:59Z
start date: 2026-10-01T08:00:00Z
hiring organization: Europa-Universität VIADRINA
job location: Place
  address: PostalAddress
    address locality: Frankfurt (Oder)
    address region: Brandenburg
    address country: DE
employment type: onsite
language: en
keywords: Pre-Doc
keywords: Econ Jobs in Germany
keywords: Economics Jobs in Germany
keywords: Researcher Job
keywords: Post-Doc
keywords: Applied Microeconomics
type: job
disciplines: microeconomics
disciplines: internationaleconomics
disciplines: economics
disciplines: socialscience
discipline labels: Microeconomics (JEL D)
discipline labels: International Economics (JEL F)
discipline labels: Economics
discipline labels: Economics and Social Sciences
more info url: https://www.europa-uni.de/en/universitaet/arbeitgeberin/stellenangebote/index.html#03-stellen-wiss-personal-152748396

Economics and Finance Major
type: EducationalOccupationalProgram
title: Economics and Finance Major
description: The interdisciplinary B.Sc. Hons programme in Economics and Finance will help students to understand the principles of economics and its applications to financial systems and organisations. The department recommends that students complete mathematics in Classes 11 and 12 to be eligible for any economics-related major or minor. For students who have not studied mathematics in Classes 11 and 12 to be eligible for any economics-related major or minor, they need to: a) Take MAT 1000: Calculus (a 1000-level course) offered by the Mathematics department in their first semester and b) Secure at least an A- to be eligible Note, there may be an entry test requirement for MAT 1000 which will be set by the Maths department. Please check the mathematics department website for more details. In addition to quantitative techniques in mathematics and statistics, the curriculum will also include advanced financial techniques such as derivatives pricing, risk management and portfolio management. Finance Courses A sample of courses constituting the Finance electives is the following. Introduction to Finance Financial Markets and Asset Pricing Finance and the Economy Advanced Financial Management Financial Markets and Institutions International Finance Asset Pricing Derivatives and Risk Management Empirical Monetary Policy and Finance The list of economics and finance electives from recent semesters can be found here. Major Requirements Students admitted to Ashoka in 2022 and thereafter fall within the NEP Programs. Credit requirements for interdisciplinary majors are listed below. Four-year Economics and Finance UG degree (BSc Hons. degree) requires 20 major courses, each of 4 credits. The structure of the 20 courses is the following: 9 compulsory courses in Economics: these include — Introduction to Economics, Mathematics for Economics, Microeconomic Theory I, Macroeconomic Theory I, Statistics for Economics, Microeconomic Theory II, Macroeconomic Theory II, Econometrics, and Develop…
disambiguating description: The interdisciplinary B.Sc. Hons programme in Economics and Finance will help students to understand the principles of economics and its applications to financial systems and organisations.
date posted: 2026-08-20T08:00:00Z
date modified: 2026-08-20T08:00:00Z
hiring organization: Ashoka University
job location: Place
  address: PostalAddress
    address country: IN
job location type: TELECOMMUTE
employment type: online
language: en
keywords: Economics
type: program
disciplines: economics
disciplines: socialscience
disciplines: generaleconomics
disciplines: finance
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: General Economics (JEL A)
discipline labels: Finance
more info url: https://www.ashoka.edu.in/courses/economics-and-finance-major/