Borradores de Economia
Number:
1283
Published:
Classification JEL:
J61, J64, R12, R14
Keywords:
Matching Function, spatial spillovers, Spatial econometrics
The most recent
Francisco Javier Lasso-Valderrama, Carmiña Ofelia Vargas-Riaño
Anne Brockmeyer, Francois Gerard, Gabriel Ulyssea, Linda Wu, Marcelo Bergolo, Rodrigo Ceni González, Bernard Kirui, Andrea Lopez-Luzuriaga, Leonardo Fabio Morales, Andrea Sofía Otero-Cortés, Nadine Riedel, Matias Tapia, Tanisa Tawichsri, Verena Wiedemann
Marlon Salazar, Andrés Salazar-Mejía, Jorge Daniel Guevara-Acevedo, Juan David Duitama-Correa
Abstract
Most macroeconomic labor literature on estimating matching functions does not consider spatial spillover effects. However, job search and vacancy-filling processes often involve neighboring locations, as local workers can search for and fill vacancies in nearby labor markets. We estimate a spatial spillover model using annual data for a middle-income country in Latin America. Our findings show that unemployment has a positive spatial spillover effect because an increase in the labor supply raises the probability of filling a vacancy. In contrast, vacancies have a negative spillover effect because local and neighboring vacancies compete to be filled by workers in both markets.
