Calendrier du 26 mars 2020
PSE Internal Seminar
Du 26/03/2020 de 12:30 à 14:00
salle R2-01, campus Jourdan - 75014 Paris
Travail et économie publique externe
Du 26/03/2020 de 12:30 à 13:45
PSE- 48 boulevard Jourdan, 74014 Paris, salle R1-09
LE BARBANCHON Thomas (Bocconi University)
POSTPONED
brown bag Travail et Économie Publique
Du 26/03/2020 de 11:00 à 12:00
PSE
HAZARD Yagan (Paris School of Economics)
Online Platforms and the Labour Market: Learning (with Machines) from an Experiment in France
I study the effect of an online job search assistance program taking advantage of an experiment made by the French public employment services, which provides some exogenous variation in the use of this platform. I focus on the heterogeneity analysis of this treatment, using two main different approaches. The first one is theory-driven, and focuses on the analysis of the heterogeneity of thetreatment with respect to various different labour market tightness indicators. Two main assessments can be made based on this analysis. (i) Tightness indicators are (surprisingly) decorrelated, making it difficult to corroborate the rare significant results obtained. (ii) The set of significant results obtained suggest that the treatment effect is increasing in labour market tightness. I suggest competing ways of interpreting the treatment that are consistent with those results. I also document some evidence of a larger treatment effect for individuals with weaker employment prospects. This is in line with other empirical evidence in the literature evaluating job search assistance programs.The second approach is more data-driven, and resorts to the new machine learning (ML) techniques developed for heterogeneity analysis. I focus on tree-based techniques and forests, which have been central in the development of these new methods. I provide applications of a large part of the existing ML techniques for exploring treatment effect heterogeneity, trying to take advantage of each of them to document which are the dimensions that are likely to be important to study treatment effect heterogeneity in my setting.