Call for submissions: Research in Labor Economics (RLE)

  • April 2024

    IZA/OECD Workshop: Applications with Linked Employer-Employee Data

    Paris

    The workshop seeks to bring together researchers who share an interest in using linked employer-employee data for innovative and policy-relevant research. The workshop will take place on April 10 and be preceded by a policy seminar with a keynote speaker on April 9. The workshop is organized in the context of the OECDs LinkEED v 2.0 project that seeks to enhance our understanding of the role of policies in inclusive growth through cross-country analytical work based on linked employer-employee data from different OECD countries. We welcome submissions of applied papers using linked employer-employee data in all areas.

    G²LM|LIC Policy Meeting: Boosting Women’s Labour Force Participation – Evidence from Western and Sub-Saharan Africa

    Online

    This online workshop assembles recent empirical evidence on possibilities to improve the position of women in the labour market and their access to it in Western and Sub-Saharan Africa and discusses policy solutions.

    2nd IZA/OECD Workshop: Climate Change and the Labor Market

    Online

    The IZA/OECD workshops aim to increase synergies between researchers and OECD experts to promote the societal impact of academic research and the relevance of expertise. These workshops are organized twice a year and focus on topics of particular importance to the economy and society. They bring together researchers from the IZA network, OECD experts and policymakers. They take place by videoconference, over half a day, with presentations by experts, researchers and discussions with policymakers.

Call for submissions: Research in Labor Economics (RLE)
December 20, 2022
CALL FOR SUBMISSIONS:
Research in Labor Economics (RLE)
Submission Deadline December 20, 2022
Notification Deadline January 20, 2023

Research in Labor Economics (RLE) is planning to publish a volume highlighting research using big data for labor market research. The editors encourage the submission of work using new types of data (job ads, social media, printed texts, etc) and/or data analysis tools such as text analysis or machine learning.

The editors Solomon Polachek (SUNY Binghamton and IZA) and Benjamin Elsner (University College Dublin and IZA) are soliciting up to ten new papers to accompany already lined up invited papers by prominent leaders in the field: Ioana Marinescu (University of Pennsylvania and IZA), Marianna Kudlyak (Federal Reserve Bank of San Francisco and IZA), Kailing Shen (Australian National University and IZA), and Andrew McGee (University of Alberta and IZA). In order to meet the publication deadline, please submit a detailed abstract (full papers are even more desirable) by December 20, 2022 to the RLE website.
 
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