Labor Market Search, Informality and Schooling Investments

Bobba, Matteo, Flabbi, Luca and Levy, Santiago (2017) Labor Market Search, Informality and Schooling Investments. TSE Working Paper, n. 17-867, Toulouse

[img]
Preview
Text
Download (921kB) | Preview
Official URL: http://tse-fr.eu/pub/32223

Abstract

We develop a search and matching model where firms and workers are allowed to form matches (jobs) that can be formal or informal. Workers choose the level of schooling acquired before entering the labor market and whether searching for a job as unemployed or as self-employed. Firms post vacancies in each schooling market, decide the formality status of the job, and bargain with workers over wages. The resulting equilibrium size of the informal sector is an endogenous function of labor market parameters and institutions. We focus on an increasingly important institution: a "dual" social security system where contributory benefits in the formal sector coexist with non-contributory benefits in the informal sector. We estimate preferences for the system - together with all the other structural parameters of the labor market { using labor force survey data from Mexico and the time-staggered entry across municipalities of a non-contributory social program. Counterfactual experiments taking into account equilibrium effects show that changing the parameters of the dual social security system can increase output, schooling and long-term productivity at a small fiscal cost.

Item Type: Monograph (Working Paper)
Language: English
Date: November 2017
Place of Publication: Toulouse
Uncontrolled Keywords: Labor market frictions, Search and matching, Nash bargaining, Informality, Returns to schooling
Subjects: B- ECONOMIE ET FINANCE
Divisions: TSE-R (Toulouse)
Institution: Université Toulouse 1 Capitole
Site: UT1
Date Deposited: 17 Apr 2018 08:00
Last Modified: 20 Nov 2018 13:13
OAI ID: oai:tse-fr.eu:32223
URI: http://publications.ut-capitole.fr/id/eprint/25769

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year