Joint Economic Research Seminars (JERS)

Joint Economic Research Seminars (JERS)

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Τι είναι τα JERS

Τα Joint Economic Research Seminar Series (JERS) είναι ένας διαδικτυακός τόπος συνάντησης μελών ΔΕΠ και ερευνητών συνεργαζόμενων Τμήματων Οικονομικής Επιστήμης από οκτώ ελληνικά ΑΕΙ:

  • Πανεπιστήμιο Πειραιώς (host)
  • Πανεπιστήμιο Ιωαννίνων
  • Πανεπιστήμιο Μακεδονίας
  • Οικονομικό Πανεπιστήμιο Αθηνών
  • Πανεπιστήμιο Κρήτης
  • Εθνικό & Καποδιστριακό Πανεπιστήμιο Αθηνών
  • Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης
  • Πανεπιστήμιο Πατρών

Η δημιουργία μιας διαδραστικής ερευνητικής κοινότητας από την πλειοψηφία των Οικονομικών Τμημάτων της χώρας με απώτερο σκοπό τη διάχυση της γνώσης, την ενίσχυση των διατμηματικών συνεργασιών και εξωστρέφειας των ελληνικών Οικονομικών Τμημάτων αξιοποιώντας τις νέες τεχνολογίες (platforms) επικοινωνίας.

Τα JERS απαρτίζονται από:

  • JERS {Seminars} – 8 παρουσιάσεις ερευνητικών άρθρων υψηλής ποιότητας από ερευνητές του εξωτερικού (συχνότητα: 1 παρουσίαση ανά μήνα, διάρκεια παρουσίασης: 1 ώρα),
  • JERS {Workshops} –  4 workshops στοχευμένα για νέους και ενεργούς ερευνητές (Σάββατα 10.30-12.30), και
  • JERS {Event} – 1 event session με στόχο κυρίως τους διδακτορικούς.

Date

Presenter

Title

24 October

@ 13.00 h

Jacques-François Thisse
Professor of Economics and Regional Science at UCLouvain, Belgium

“Teleworking, local labor markets, and the structure of cities”

14 November

@ 14.00 h

Jens Ludwig

Edwin A. and Betty L. Bergman Distinguished Service Professor at the University of Chicago

“Behavioral Economics 2.0”

12 December

@ 18.30 h

 

Joseph E. Stiglitz
Nobel laureate in economics, Professor at Columbia University, and chief economist of the Roosevelt Institute

“Multilateralism Post Neoliberalism, Post Trump: Is there a future?”

16 January

@ 18.00 h

 

Romain Wacziarg

Professor of Economics, Hans Hufschmid Chair in Management, UCLA

“Malthusian Migrations”

13 February

@14:00

 

Andres Rodriguez-Pose

Professor of Economic Geography at the London School of Economics

TBA

13 March

@ 16.00 h

 

Jeffrey Wooldridge

Professor of Economics at Michigan State University

“A Unified Approach to Regression-Based Difference-in-Differences Estimators with Staggered Entry.”

15 May 

@ 15.00 h

 

 

Philipp Strack

Professor of Economics at Yale

TBA

5 June 

@ 14.00 h

 

Anna Mikusheva

Professor of Economics at MIT

“Estimation in linear models with clustered data”

1st Workshop: Geospatial Data

Date: Saturday 24/01/2026 – Assistant Prof. Vasilis Logothetis, UoI

Title: Geospatial Data in Economic Research: Basic Concepts and Applications

 

Description: This workshop offers a friendly introduction to the use of Geographic Information Systems (GIS) in economic research. It will present the main types of spatial data as well as the fundamental geoprocessing methodologies that allow the use of sources such as satellite images, historical maps, and distance data. Through examples from publications, it will be shown how spatial data open up research perspectives and provide more reliable identification strategies (such as IV and RDD). The aim is for participants to become familiar with the relevant tools and to understand their usefulness in economic analysis and research.

Indicative bibliography:

  • Dell, M., 2010. The persistent effects of Peru’s mining mita. Econometrica, 78(6), pp.1863–1903. https://doi.org/10.3982/ECTA8121
  • Duflo, E. and Pande, R., 2007. Dams. The Quarterly Journal of Economics, 122(2), pp.601–646. https://doi.org/10.1162/qjec.122.2.601
  • Michalopoulos, S. and Papaioannou, E., 2014. National institutions and subnational development in Africa. The Quarterly Journal of Economics, 129(1), pp.151–213. https://doi.org/10.1093/qje/qjt029
  • Nunn, N., 2008. The long-term effects of Africa’s slave trades. The Quarterly Journal of Economics, 123(1), pp.139–176. https://doi.org/10.1162/qjec.2008.123.1.139

Participants are advised to download the open-source QGIS program (https://qgis.org/) in order to use the data and follow the replication. In addition, for convenience, when the replication is finalized, I would like to ask them to download some additional files. Could this be done closer to the seminar date? If not, then we will download them during the seminar break, if foreseen.

2nd Workshop: Bayesian Analysis

Date: Saturday 21/03/2026 – Associate Prof. Grigorios Emvalomatis, UoC

Title: Introduction to Bayesian Analysis: Theory, Applications, and Software Packages

 

Description: The Bayesian approach to data analysis provides an intuitive way to handle stochasticity in econometric models, as well as the ability to specify models tailored to the particularities of each application. In this workshop we will cover the fundamental concepts of Bayesian analysis and, while briefly examining how these concepts apply to the linear model, we will quickly move on to more complex models, such as stochastic volatility and mixed-frequency VAR. The goal is for participants to become familiar with software packages that simplify the specification and estimation of models using the Bayesian approach. We will mainly use the packages JAGS (Just Another Gibbs Sampler) and Stan, which we will run through R. Finally, we will briefly review the capabilities of Python’s PyMC package.

If you would like to run the analysis on your own computer during the workshop, please install the following packages beforehand:


  1. 1. R and RTools (RTools is required to use Stan)
    2. Optionally, RStudio or Jupyter Lab
    3. The R packages rstan, rjags, R2jags and coda
    4. JAGS
    5. Python with the packages pymc, arviz, numpy, pandas, and matplotlib

 

 

Nr.

Date

Presenter

Affiliation

Title of the Talk

1.

18th October 2024

Prof. David Lagakos

Boston University

“American Life Histories”

2.

8th November 2024

Prof. Elias Papaioannou

London Business School

ΤΒΑ

3.

17th January 2025

Prof. Jörg Baten

University of Tübingen

“Trends of Stature, Nutritional Quality and Health in Asia and Europe over the Last Seven Millennia”

4.

14th February 2025

Prof. Evi Pappa

Universidad Carlos III Madrid

“Stimulating Avenues: EIB Loans and Returns to Public Infrastructure”

5.

14th March 2025

Prof. Miguel Costa-Gomes

The University of Edinburgh

ΤΒΑ

6.

11th April 2025

Prof. Efrem Castelnuevo

University of Padova

“Households’ Macroeconomic Beliefs: The Role of Education”

7.

23rd May 2025

Prof. Şebnem Kalemni-Özcan

Brown University

“Monetary Policy and the Short-Rate Disconnect in Emerging Economies”

8

23rd June

2025

Nobel Laureate Prof. Daron Acemoglu

MIT

General issues, fresh research and broad advice

Workshops on “Causal Inference”

Why do we care? A large proportion of real-life questions of interest are questions of causality, not just correlation. Causal inference encompasses the tools that allow social scientists to determine what causes what.

What we will do? Hands-on using real data and Stata software sequence of four seminars introduce researchers to necessary methods to arrive at meaningful answers to the questions of causation, using a range of advanced modeling techniques and coding instructions in Stata. All material (files and codes) will be provided one week in advanced.

Keywords: endogeneity, causal effects, identification, fixed-effects, instrumental variable (IV) analysis, potential-outcome, policy evaluation, counterfactuals, Difference-in-Difference (DiD) analysis, treatment and control group.

PART A

Manthos Delis

Manthos Delis

Professor, Audencia Business School

Seminar 1:

-> January 25, 2025

Why do we need causal inference and what are the key endogeneity problems faced by empirical research in economics and finance. The use of fixed effects and  Instrumental variables regressions.

Seminar 2:

-> February 22, 2025

Difference-in-differences  (DiD) as a natural experiment in social sciences and the discontinuity design regression.

PART B

Alexandros Bechlioulis

Alexandros Bechlioulis

Assistant Professor, University of Ioannina

Seminar 3:

-> March 1, 2025

How do we estimate the impact of a policy intervention? What is a treatment and a control group? Canonical and modern difference-in-difference (DiD) methodologies for a two-period analysis.

Seminar 4:

-> April 5, 2025

Multi-period frameworks: Assume now more than two time periods in which units may be treated at the same time or different points in time. Heterogeneous robust estimators for staggered treatment timing.

Κάθε Οικονομικό Τμήμα κάθε Παν/μιου που γίνεται μέλος των JERS ορίζει (μέσω της γενικής συνέλευσης) τους εκπροσώπους του. Οι εκπρόσωποι όλων των Τμήματων-μελών  αποτελούν την οργανωτική επιτροπή που καθορίζει το πρόγραμμα των JERS

Πανεπιστήμιο Πειραιώς (Πα.Πει.):
Πανεπιστήμιο Πειραιώς (ΠΑΠΕΙ, host):
Κατερίνα Καραδημητροπούλου (contact person, akaradi@unipi.gr)
Κλαίρη Οικονομίδου
 
JERS IT support: Bασίλης Καταβέλης: (τηλ. 210 4142205, vkatavelis@unipi.gr)
 
Παν/μιο Ιωαννίνων:
Βασίλης Λογοθέτης
Νίκος Τσακίρης
 
Παν/μιο Μακεδονίας:
Αναστασία Λίτινα
Θόδωρος Παναγιωτίδης
 
Οικονομικό Πανεπιστήμιο Αθηνών (ΟΠΑ):

ΔΕΟΣ:

Παντελής Κάμμας

Γιώργος Οικονομίδης

ΟΙΚΟΝΟΜΙΚΟ:

Βαγγέλης Βασιλάτος
Γιάννης Κοσπεντάρης
 
Παν/μιο Κρήτης:
Γρηγόρης Εμβαλωματής
Γιώργος Σταματόπουλος
 
Εθνικό & Καποδιστριακό Πανεπιστήμιο Αθηνών:
Γεώργιος Δότσης
Φραγκώ Κουραντή
 
Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης:
Αθανάσιος Καζάνας
 
Πανεπιστήμιο Πατρών
Ιωάννης Λαλιώτης

Coming up next

JERS Seminars

JERS Workshops