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number of items: 20
total items: 2605
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: 2026 Modigliani Research Grant
item list element: Time Series Modelling and Forecasting using Stata
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: Economics and Finance Major
item list element: Researcher | Pre-/Post-Doc - Applied Microeconomics
item list element: Doctoral Fellowship in Macroeconometrics – Ghent University, Belgium
item list element: 49th RSEP International Conference on Economics, Finance and Business
item list element: Economic Analyst – Tax Modelling
item list element: Destry Damayanti nominated as Indonesia Central Bank Governor
item list element: Several part-time research assistants (30% and 50%) for our Research Centre - Empirical Microeconomics
item list element: Research & Teaching Assistant (Finance) m/f/d | Part-Time (70%)
item list element: Melisa Williams Higgins
item list element: PhD Position in urban economics
item list element: Modern Difference-in-Differences: New Problems, New Solutions - Linear Regression and Panel Data in STATA
item list element: Purdue University Approves Four New Professorships in Economics and Business
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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/

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

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: 2026-08-13T10:10:00Z
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/

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)

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/

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

Doctoral Fellowship in Macroeconometrics – Ghent University, Belgium
type: JobPosting
title: Doctoral Fellowship in Macroeconometrics – Ghent University, Belgium
description: Topic The project is situated at the intersection of macroeconometrics and time series analysis and focuses on the statistical properties of local projection methods for estimating impulse responses. Impulse response analysis plays a central role in modern macroeconomics, yet widely used estimation methods face important challenges in finite samples and in environments with highly persistent or non-stationary data. This PhD project studies the bias, consistency, and inference properties of local projection estimators in both time series and panel data settings. The research will contribute to the development of bias-corrected estimators and robust inference procedures, with the goal of strengthening the theoretical foundations of impulse response analysis in applied macroeconomics. Role and responsibilities The successful candidate will carry out independent, high-level research within this project, in close interaction with the promoter and international collaborators. Your main tasks include: Conducting a thorough review of the theoretical and empirical literature in macroeconometrics and time series analysis. Developing analytical results on the asymptotic and finite-sample properties of local projection estimators. Designing and implementing Monte Carlo simulations to assess estimator performance. Writing high-quality academic papers for submission to leading international journals. Presenting research results at international conferences and workshops. In addition to research activities, the PhD student may be involved in limited educational support activities, for example assisting with specific course-related activities or co-supervision of bachelor's or master's theses related to the project, in accordance with the regulations for doctoral fellows. Job profile We are looking for a highly motivated and analytically strong candidate with the following qualifications: You have (or will obtain shortly) a European master's degree in Economics, Econometrics, or a …
disambiguating description: The Department of Economics at Ghent University is seeking a highly motivated PhD student to join an FWO-funded research project in theoretical macroeconometrics, under the supervision of Prof. Gerdie Everaert. The project studies the bias, consistency, and inference properties of local projection methods for estimating impulse responses in time series and panel data settings.
date posted: 2026-08-20T08:37:19Z
date modified: 2026-08-20T11:02:51Z
valid through: 2026-09-20T21:59:59Z
start date: 2027-01-01T08:00:00Z
end date: 2030-12-31T22:59:59Z
hiring organization: Department of Economics, Ghent University
job location: Place
  address: PostalAddress
    address locality: Gent
    address region: Flanders
    address country: BE
employment type: onsite
language: en
keywords: Macroeconometrics
keywords: Panel data
keywords: Time series analysis
keywords: Local Projections
eligibility to work requirement: We are looking for a highly motivated and analytically strong candidate who: Has (or will shortly obtain) a European master's degree in Economics, Econometrics, or a closely related field. Has a strong background in econometrics and macroeconomics. Has a pronounced interest in theoretical and methodological research. Is comfortable with mathematical derivations and quantitative analysis. Has experience with numerical simulations and programming (e.g. MATLAB, R, or Python) — an asset, not a requirement. Is able to work independently and has strong communication skills. Is fluent in English, both written and spoken.
type: job
disciplines: politics
disciplines: economics
disciplines: socialscience
disciplines: econometricsstatisticsquantitative
disciplines: statistics
discipline labels: Politics
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: Econometrics, Statistics and Quantitative Methods (JEL C)
discipline labels: Statistics

49th RSEP International Conference on Economics, Finance and Business
type: Event
title: 49th RSEP International Conference on Economics, Finance and Business
description: 49th RSEP International Conference on Economics, Finance and Business Date: 18-20 November 2026 Location: New York, USA This conference organized by RSEP in collaboration with "Journal of Risk and Financial Management". Selected papers (not all), after peer-review process, will be published in the special issue of "Journal of Risk and Financial Management" free of charge. "Journal of Risk and Financial Management" indexed by SCOPUS (Q1). Some Proceedings of RSEP Conferences have been included in the Web of Science™ Core Collection, Conference Proceedings Citation Index, Thomson Reuters/Clarivate Analytics. Conference proceedings indexed by Google Scholar, RePEc & Econlit. CALL FOR PAPERS RSEP invites the papers included thematic studies and presentations to the "49th RSEP International Conference on Economics, Finance and Business", which will be held on 18-20 November 2026 in New York, United States. The main topics of the conference are focused on, but not limited to, the following titles: Accounting Behavioral Finance Corporate Finance/Governance Econometrics Economics of Innovation Education/Education Economics Environmental Economics Emerging Economies Energy Studies Entrepreneurship Financial Economics Gender Economics Health Economics Human Resources Industrial Organization International Economics and Trade International Finance Investment Islamic Economics/Finance Knowledge Economics Labor Economics Growth & Development Macroeconomics Management Microeconomics Marketing Monetary Economics Political Economy Public Economics Regional Studies Risk Management Small and Medium-Sized Enterprises (SME) Tax Policies Tourism/Tourism Economics CONFERENCE WILL BE HELD IN-PERSON Note: Participants who do not have the opportunity to attend face to face can connect to the room via Zoom online/live. Deadlines Abstract Submission Deadline: November 10th, 2026 Full Paper Submission Deadline (Optional): November 30th, 2026 Deadline of early registration: September 1st, 2026 D…
disambiguating description: RSEP invites papers for the 49th International Conference focusing on various economic and financial topics.
date posted: 2026-08-09T17:00:22Z
date modified: 2026-08-10T06:16:59Z
valid through: 2026-11-10T22:59:59Z
start date: 2026-11-18T08:00:00Z
end date: 2026-11-20T22:59:59Z
hiring organization: Review of Socio-Economic Perspectives (RSEP)
job location: Place
  address: PostalAddress
    address locality: New York City
    address region: New York
    address country: US
employment type: onsite
language: en
keywords: economics
keywords: conference
keywords: business
keywords: finance
type: conference
disciplines: politics
disciplines: othereconomics
disciplines: labordemographiceconomics
disciplines: economicdevelopmentgrowth
disciplines: healtheducationwelfareeconomics
disciplines: economicsystems
disciplines: macroeconomicsmonetary
disciplines: laweconomics
disciplines: agriculturalenvironmentaleconomics
disciplines: generaleconomics
disciplines: businesseconomics
disciplines: economicthoughtmethodology
disciplines: industrialorganization
disciplines: microeconomics
disciplines: internationaleconomics
disciplines: publiceconomicspolicy
disciplines: socialscience
disciplines: datascience
disciplines: urbanruraltransportationeconomics
disciplines: economichistory
disciplines: economics
disciplines: financialeconomics
disciplines: econometricsstatisticsquantitative
disciplines: finance
disciplines: statistics
discipline labels: Politics
discipline labels: Other Special Economics Topics (JEL Z)
discipline labels: Labor and Demographic Economics (JEL J)
discipline labels: Economic Development, Innovation and Growth (JEL O)
discipline labels: Health, Education, and Welfare (JEL I)
discipline labels: Economic Systems (JEL P)
discipline labels: Macroeconomics and Monetary Economics (JEL E)
discipline labels: Law and Economics (JEL K)
discipline labels: Agricultural and Environmental Economics (JEL Q)
discipline labels: General Economics (JEL A)
discipline labels: Business Economics (JEL M)
discipline labels: Economic Thought & Methodology (JEL B)
discipline labels: Industrial Organization (JEL L)
discipline labels: Microeconomics (JEL D)
discipline labels: International Economics (JEL F)
discipline labels: Public Economics & Economic Policy (JEL H)
discipline labels: Economics and Social Sciences
discipline labels: Data Science
discipline labels: Urban, Rural and Transportation Economics (JEL R)
discipline labels: Economic History (JEL N)
discipline labels: Economics
discipline labels: Financial Economics (JEL G)
discipline labels: Econometrics, Statistics and Quantitative Methods (JEL C)
discipline labels: Finance
discipline labels: Statistics
more info url: https://rsepconferences.com/conferences/49th-rsep-international-conference-on-economics-finance-and-business-18-20-november-2026-new-york-usa/

Economic Analyst – Tax Modelling
type: JobPosting
title: Economic Analyst – Tax Modelling
description: The Joint Research Centre (JRC) provides independent, evidence-based knowledge and science, supporting EU policies to positively impact society. The JRC is located in 5 Member States (Belgium, Germany, Italy, the Netherlands and Spain). Further information is available at https://joint-research-centre.ec.europa.eu/index_en The current vacancy is in the Fiscal Policy Analysis Unit of Directorate B for Fair and Sustainable Economy. The mission of Directorate B is to provide top-class analysis and data to support the EU’s aim for today’s and tomorrow’s Europeans to enjoy fair and sustainable prosperity. It takes a systemic view of the relationships between economic activities, the environmental impacts of human activities and the societal needs of the EU’s citizens. Directorate B develops and carries out economic analysis and supports policy making with its unique analytical and modelling tools. It boosts EU innovation-driven competitiveness in the global context, turning territorial diversity and urban-rural interactions into value. It drives European markets, industry and services, including construction and the built environment, towards environmental sustainability. The Unit “Fiscal Policy Analysis” provides modelling support and research in the area of taxation and social benefits. Its aim is to contribute to evidence-based fiscal policies that enable the attainment of the economic, social and environmental objectives of the EU. To fulfil its mission, the Unit maintains, updates and develops state-of-the art tools, and provides evidence for policy making in the area of taxation and social protection in alignment with the European Commission priorities. The main purpose of this job is to carry out research and provide policy analysis in the area of taxation, with a particular focus on consumption taxes, including the fight against tax fraud and tax evasion. The role involves developing, maintaining and applying the unit’s economic models and methods to assess the i…
disambiguating description: The European Commission's Joint Research Centre is looking for an Economic Analyst – Tax Modelling to join its Unit "Fiscal Policy Analysis” based in Seville, Spain.
date posted: 2026-07-29T07:43:17Z
date modified: 2026-08-13T08:00:45Z
valid through: 2026-08-30T21:59:59Z
hiring organization: Joint Research Centre of the European Commission
job location: Place
  address: PostalAddress
    address locality: Sevilla
    address region: Andalusia
    address country: ES
employment type: onsite
language: en
keywords: JRC
keywords: Tax Modelling
keywords: EU Economics Jobs
type: job
disciplines: othereconomics
disciplines: economics
disciplines: macroeconomicsmonetary
disciplines: socialscience
disciplines: finance
discipline labels: Other Special Economics Topics (JEL Z)
discipline labels: Economics
discipline labels: Macroeconomics and Monetary Economics (JEL E)
discipline labels: Economics and Social Sciences
discipline labels: Finance
more info url: https://recruitment.jrc.ec.europa.eu/vacancy/3068

Destry Damayanti nominated as Indonesia Central Bank Governor
type: NewsArticle
title: Destry Damayanti nominated as Indonesia Central Bank Governor
description: Minister of State Secretariat, Prasetyo Hadi, announced that President Prabowo Subianto has nominated Destry Damayanti as the sole candidate to lead Indonesia’s central bank, Bank Indonesia. Having been appointed last week acting governor, and only a few weeks after her reappointment as deputy governor, Damayanti is set to replace Perry Warjiyo, who recently stepped down for personal reasons, marking a historic first resignation of a governor from the central bank. During a press conference held at the Presidential Palace, Minister Prasetyo confirmed that the President had submitted a presidential letter about Damayanti's nomination to the House of Representatives (DPR). As per the process, members of the DPR will conduct a fit-and-proper test to evaluate her candidacy. "So, there is only one name, namely Ms. Destry Damayanti," Prasetyo stated. The DPR is expected to formally announce the government’s proposal regarding Damayanti’s nomination on Tuesday, August 11, 2026. As of the latest updates, the House had yet to comment on the nomination but is scheduled to announce it publicly. Destry Damayanti is an accomplished economist, having served as the Senior Deputy Governor of Bank Indonesia since 2019. With a background in various financial institutions and her role in the Indonesia Deposit Insurance Corporation, she is well-prepared for this pivotal position within the country’s monetary system. You can see her profile on the Bank Indonesia website.
disambiguating description: President Prabowo Subianto has put forth Destry Damayanti as the singular candidate for the Governor of Bank Indonesia, following the resignation of Perry Warjiyo.
date posted: 2026-08-12T14:04:12Z
date modified: 2026-08-12T14:10:00Z
employment type: onsite
language: en
keywords: Governor of Bank Indonesia
keywords: Destry Damayanti
keywords: Bank Indonesia
keywords: Prabowo Subianto
type: news
disciplines: politics
disciplines: socialscience
disciplines: finance
discipline labels: Politics
discipline labels: Economics and Social Sciences
discipline labels: Finance

Several part-time research assistants (30% and 50%) for our Research Centre - Empirical Microeconomics
type: JobPosting
title: Several part-time research assistants (30% and 50%) for our Research Centre - Empirical Microeconomics
description: Location: Frankfurt am Main Position: Part-time, temporary position (2 years) Job ID: 2026_0541_02 Valuable work: your role with us Your role will be to support the academic work of the Research Centre in the field of empirical microeconomics. You will be involved in the Research Centre’s survey projects, in particular. You will be responsible for preparing and analysing microdata, especially on the behaviour and expectations of firms. As part of an international team, your work will centre on fundamental issues, with the resulting insights intended to provide a sound academic footing for the Deutsche Bundesbank’s decisions. You will have access to excellent IT facilities and first-class data resources, and will have the opportunity to interact with leading international researchers. Unique assets: your skills and qualifications Master’s degree or equivalent qualification in a degree programme with a quantitative focus (e.g. economics or statistics) Soon to be enrolled in or already pursuing a PhD programme in economics, business administration or statistics Very good command of English In addition, desirable: Working towards a specialisation in empirical microeconomics Good knowledge of mathematical/statistical applications, especially Stata (or R) Applied knowledge in using microdata, preferably survey data Strong analytical skills Organisational skills as well as the ability to work both independently and as part of a team Good communication skills Knowledge of German Valuable work, generously rewarded Remuneration that corresponds to pay grade E 13 of the wage agreement for the public sector (Tarifvertrag für den öffentlichen Dienst – TVöD) plus a bank allowance, international working environment, varied tasks, extensive training opportunities, support for your PhD/doctorate degree. New work Extensive options for working from home within Germany (generally up to 60% of total working hours), friendly and respectful working environment, flexible and predictable wo…
disambiguating description: The Deutsche Bundesbank is a special type of bank. Together with the ECB and the other euro area central banks, we ensure a stable euro. To achieve this, as well as other central bank tasks, we need a diverse range of specialists in a wide array of areas in order for the institution to function. Join us and become part of a strong team of reliable and responsible individuals. Several part-time research assistants (30% and 50%) for our Research Centre
date posted: 2026-08-12T13:27:24Z
date modified: 2026-08-12T13:30:00Z
valid through: 2026-09-07T21:59:59Z
hiring organization: Deutsche Bundesbank
job location: Place
  address: PostalAddress
    address locality: Frankfurt am Main
    address region: Hesse
    address country: DE
employment type: onsite
language: en
keywords: assistant
keywords: job
keywords: part-time
keywords: Deutsche Bundesbank
keywords: research
type: job
disciplines: microeconomics
disciplines: economics
disciplines: socialscience
discipline labels: Microeconomics (JEL D)
discipline labels: Economics
discipline labels: Economics and Social Sciences
more info url: https://www.bundesbank.de/en/career/job-offers/several-part-time-research-assistants-30-and-50--836714

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: 2026-08-18T10:00:00Z
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

Melisa Williams Higgins
type: CreativeWork
title: Melisa Williams Higgins
description: Melisa Williams Higgins is a Lecturer in Economics at the University of Bristol. Alongside her research in health economics, her scholarship focuses on economics education, student engagement, belonging and academic support in higher education. She is a Senior Tutor in the School of Economics, providing leadership for student support and personal tutoring, and the Academic Director of Bristol Black Associates, a university-wide programme that supports Black heritage students' academic success, professional development and sense of belonging. Beyond Bristol, she is Co-convenor of the International Health Economics Association's Teaching Health Economics Special Interest Group, where she collaborates with colleagues from around the world to advance health economics education through the exchange of ideas, resources and effective teaching practice. UoB page: Melisa Williams Higgins — University of Bristol Personal website: Melisa Williams Higgins (google.com)
disambiguating description: Melisa Williams Higgins is a Lecturer in Economics at the University of Bristol. Alongside her research in health economics, her scholarship focuses on economics education, student engagement, belonging and academic support in higher education.
date posted: 2026-08-11T09:14:58Z
date modified: 2026-08-11T09:22:54Z
employment type: onsite
language: en
keywords: Health Economics
keywords: Economics Education
keywords: Melisa Williams Higgins
type: person
disciplines: othereconomics
disciplines: economics
disciplines: socialscience
disciplines: healtheducationwelfareeconomics
disciplines: generaleconomics
discipline labels: Other Special Economics Topics (JEL Z)
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: Health, Education, and Welfare (JEL I)
discipline labels: General Economics (JEL A)

PhD Position in urban economics
type: JobPosting
title: PhD Position in urban economics
description: TU Dortmund University is a dynamic research-oriented university with 17 departments in the natural and engineering sciences as well as social and cultural sciences. On our international campus, around 6,700 employees make a daily contribution to solving pressing questions of the present and the future. Openness and diversity characterize not only the collaboration in research and teaching, but also in technology and administration. PhD Position in urban economics The Chair of Urban, Regional and International Economics at the Department of Business and Economics at TU Dortmund University conducts teaching and research at the interface between economics and spatial planning. This encompasses topics relating to economics in urban and regional contexts. In terms of content, we work primarily with empirical, quantitative data on topics such as international trade, innovation, transformation and urban research. To strengthen our team, we are seeking a research assistant to support teaching and research, starting October 1st 2026. The position is to be filled with a fixed-term basis for a period of three years. Remuneration will be in accordance with the collective agreement provisions for pay grade 13 (TV-L). This is a 75% fulltime equivalent. YOUR RESPONSIBILITIES: Conducting research in the field of Urban, Regional and International Economics, covering subtopics such as international trade and regional economics, in the context of innovation, transformation and sustainability Securing and managing research projects and publishing research output in the above-mentioned field Designing, preparing, supervising and teaching courses at the Faculties of Business and Economics and Spatial Planning (3 SWS) WE OFFER: A pleasant working atmosphere within a dynamic team A challenging role in a research-intensive environment with opportunities for international exchange and a clear thematic focus Structured support for publications, conference participation and further academic q…
disambiguating description: To strengthen our team, we are seeking a research assistant to support teaching and research, starting October 1st 2026.
date posted: 2026-08-04T09:48:33Z
date modified: 2026-08-17T08:50:45Z
valid through: 2026-09-01T21:59:59Z
start date: 2026-08-04T08:00:00Z
hiring organization: TU Dortmund University
job location: Place
  address: PostalAddress
    address locality: Dortmund
    address region: North Rhine-Westphalia
    address country: DE
employment type: onsite
language: en
keywords: planning
keywords: economics
keywords: urban
keywords: spatial
keywords: phd
keywords: research
type: job
disciplines: economics
disciplines: socialscience
disciplines: urbanruraltransportationeconomics
discipline labels: Economics
discipline labels: Economics and Social Sciences
discipline labels: Urban, Rural and Transportation Economics (JEL R)

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: 2026-08-06T12:22:11Z
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/

Purdue University Approves Four New Professorships in Economics and Business
type: NewsArticle
title: Purdue University Approves Four New Professorships in Economics and Business
description: On August 7, 2026, the Purdue University Board of Trustees met to approve several key appointments and recognitions: Brian Dineen as the Frederick and Alice Leeds Professor David Hummels as the Marshall and Susan Larsen Chair Ting Zhu as the Jack A. Hockema Chair in Business Martin Dufwenberg as Distinguished Professor of Economics Further appointments were made in the fields of engineering, health and education, as well as new athletics leadership. Brian Dineen - Appointed to the Frederick and Alice Leeds Professor Dineen came to Purdue in 2013 as an associate professor of management, later rising to department head for Organizational Behavior and Human Resource Management. His research focuses on issues related to recruitment, job search and employee retention. More specifically, he investigates factors that influence the quality of initial applicant pools in organizations, including recruitment message orientation and mass customization, as well as job seeker search strategies. The Frederick and Alice Leeds Professor of Management was established in 1990 by the estate of Alice Cole Leeds. This fund provides for an endowed professorship in the Mitch Daniels School of Business. David Hummels - Appointed to the Marshall and Susan Larsen Chair Hummels came to Purdue in 2000 as an assistant professor, advancing to the rank of Distinguished Professor of Economics. He previously served as the Dr. Samuel R. Allen Dean of the Mitch Daniels School of Business. Hummels’ research focuses on a range of issues in international trade, including offshoring and its impact on labor markets; product differentiation; barriers to trade; and the broader impacts of aviation, infrastructure and trade facilitation on trade and economic development. Most recently, his work has centered on labor market issues, including executive compensation, the intersection between worker health and labor markets, and the economics of higher education. Hummels’ honors and awards include an Outstanding I…
disambiguating description: The Purdue University Board of Trustees approved multiple named professorships and deanships, including four in economics and business fields.
date posted: 2026-08-10T15:09:00Z
date modified: 2026-08-10T15:10:00Z
employment type: onsite
language: en
keywords: Board of Trustees
keywords: appointments
keywords: Purdue University
keywords: professorships
type: news
disciplines: engineeringbusiness
disciplines: internationaleconomics
disciplines: economics
disciplines: macroeconomicsmonetary
disciplines: socialscience
disciplines: business
discipline labels: Engineering & Business
discipline labels: International Economics (JEL F)
discipline labels: Economics
discipline labels: Macroeconomics and Monetary Economics (JEL E)
discipline labels: Economics and Social Sciences
discipline labels: Business