Joint research unit 7235

Spatial Mismatch through Local Public Employment Agencies? Answers from a French Quasi-Experiment

Matthieu Bunel, Élisabeth Tovar

Using the unanticipated creation of a new agency in the French region of Lyon as a quasinatural experiment, we question whether distance to local public employment agencies (LPEAs) is a new channel for spatial mismatch. Contrary to past evidence based on aggregated data and consistent with the spatial mismatch literature, we find no evidence of a worker/agency spatial mismatch, which supports a resizing of the French LPEA network. However, echoing the literature on the institutional determinants of the local public employment agencies’ efficiency, we do find detrimental institutional transitory effects.

AGENDA

Thursday 29 February 2024

Thomas Jacquet, Amady Léchenet, Albin Salmon, Benjamin Trouvé

Nouveaux Doctorants II

Thomas Jacquet, Amady Léchenet, Albin Salmon, Benjamin Trouvé

Thursday 29 February 2024

Lunch

Nouveaux Doctorants II

Thomas Jacquet, Amady Léchenet, Albin Salmon, Benjamin Trouvé

Thursday 29 February 2024

Playing Dumb to Look Green

Claire Rimbaud (U. Dauphine)

Playing Dumb to Look Green

Thursday 29 February 2024

Groupe de travail Economie Comportementale

Claire Rimbaud (U. Dauphine)

Playing Dumb to Look Green

Monday 4 March 2024

The Bright Side of the GDPR: Welfare-improving Privacy Management

Shiva Shekhar (Tilburg Univ)

The Bright Side of the GDPR: Welfare-improving Privacy Management

Monday 4 March 2024

Law, Institutions and Economics in Nanterre (LIEN)

Shiva Shekhar (Tilburg Univ)

The Bright Side of the GDPR: Welfare-improving Privacy Management

Tuesday 5 March 2024

Recherche et Economie et Socioéconomie Politique, des Institutions et des Régulations (RESPIR)

Thomas Angeletti (Université Paris Dauphine PSL & IRISSO CNRS)

L’invention de l’économie française

Tuesday 5 March 2024

L’invention de l’économie française

Thomas Angeletti (Université Paris Dauphine PSL & IRISSO CNRS)

L’invention de l’économie française

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