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Date: October 4-5, 2023
Place: IAB Nuremberg, Germany

The interdisciplinary IAB/LASER Workshop on "Survey Experiments in Labor Market and Regional Research" is intended to promote the deepening and broadening of survey experiments as a method in labor market and regional research.
The organizing institutions, Institute for Employment Research (IAB), and Labor and Socio-Economic Research Center (LASER) at Friedrich-Alexander-University Erlangen-Nürnberg (FAU) aim to bring together frontier research on survey experiments in labor markets and regional research of economists, sociologists and scholars from related fields. It focusses on both methodological issues and applications. The workshop provides a forum that allows scientists to network while fostering the exchange of research ideas and results.

Topics of Interest

The workshop deals with methodically oriented and applied research on survey experiments with a special focus on labor market and regional research. A non-exhaustive list of topics of interest is:

• Methodological advances in survey experiments
• Job search, hiring, and matching
• Commuting and location decisions
• Labor market participation and unemployment
• Inequality and discrimination
• Gender and diversity
• Spatial distribution of activities, disparities and inequalities
• Globalization and technological change
• Artificial intelligence in labor and housing markets
• Labor market policy and urban/regional policy

Scientific Committee

• Martin Abraham, LASER and FAU Erlangen-Nürnberg
• Wolfgang Dauth, IAB and University of Bamberg
• Yuliya Kosyakova, IAB and University of Bamberg
• Claus Schnabel, LASER and FAU Erlangen-Nürnberg
• Gesine Stephan, IAB, LASER, and FAU Erlangen-Nürnberg
• Matthias Wrede, LASER and FAU Erlangen-Nürnberg

Keynote Speakers

• Valentina di Stasio, Department of Interdisciplinary Social Science and ERCOMER, Utrecht University
• Thomas Hinz, Chair of Empirical Social Research with a Focus on Survey Research, University of Konstanz
• Tobias Wolbring, Chair of Empirical Economic Sociology, FAU Erlangen-Nürnberg

Paper Submission

Please submit a full draft paper or extended abstract (about 1200 words) in PDF format to: IAB.survey-experiments@iab.de.
Submission deadline: May 31, 2023.
Notification of acceptance will be given by June 30, 2023.
Presenters will be asked to discuss another paper.

Workshop Registration

Presenters are exempted from the conference fee. The conference fee is 100 €, which includes refreshment and lunch during the workshop.

Contact

Organizing Committee of Spatial-LM Workshop 2022
Institute for Employment Research
Prof. Wolfgang Dauth
Regensburger Str. 104, D-90478 Nuremberg, Germany
e-mail: IAB.survey-experiments@iab.de

Please visit the website https://eveeno.com/IAB-survey-experiments for further information.

Machine learning has attracted huge attention in social sciences and neuroscience, delivering predictions that exceed any insight that a human researcher would be able to obtain with common theory-driven approaches. However, applications are often criticized as being mainly exploratory and inductive, and their utility for theory development is not yet clear. For this reason, we are organizing a free interdisciplinary online workshop with the title:

Machine Learning and Theory Development

taking place from 10 - 12 July 2023 (3 three-hour-sessions),
financed by Jacobs Foundation and CIFAR.

In this workshop, renowned experts from various fields will discuss how machine learning methods can be used to advance theory development. Presentations will be followed by panel discussions on similarities and differences, possibilities and limitations of the approaches. The workshop is targeted at applied researchers in any discipline interested in using machine learning methods to advance their field.

Our wonderful speakers are:

• Dr. Ryota Kanai, founder and CEO of Araya
• Dr. Katharina Dobs, University Giessen
• Prof. Dr. Blake Richards, McGill University Mayank Agrawal (Princeton University)
• Prof. Dr. Filiz Garip (Princeton University)
• Dr. Anna Ivanova (MIT)
• Prof. Dr. Rebecca Johnson, Georgetown University
• Prof. Dr. Caspar van Lissa, Tilburg University
• Prof. Dr. Justin Grimmer, Stanford University

The workshop is free of charge but it is still necessary to register to give us an idea of who will be attending and to enable us to communicate with you more efficiently.

More information, the workshop programme, and the registration link can be found on our website.

We would be honoured to have you join us for another workshop.

The Institute for Employment Research (IAB) is pleased to host an international workshop on recent developments in wage determination, distribution, and job skills from 14-15 June.

The traditional human capital model of wage determination fails to explain why wage disparities exist within or between firms, as firms themselves are deemed irrelevant. However, the availability of new data, such as employer-employee matched data sets, makes it possible to better explore issues of wage inequality. Consequently, models examining the sorting of workers across firms with varying productivity levels have gained importance. Our international conference aims to contribute to a better understanding of wage determination, distribution, and job skills.

Our outstanding speakers will address the significant rise in earnings inequality witnessed across numerous countries and the factors contributing to these developments. They will discuss the role of individual determinants of wage inequality, including tenure and job mobility, as well as firm characteristics and labor market institutions, and they will delve into the effects of wage losses following job displacement and the wage elasticity of recruitment.

Please visit the website for further information and the workshop programme.

Interested researchers can register until 7.6.2023 here: https://eveeno.com/recentdevelopments

The workshop is generously supported by funding of the Labor and Socio-Economic Research Center (LASER) of the University of Erlangen-Nuremberg.