全球智库信息集成服务系统(G2TT): Does Exporting Improve Matching? Evidence from French Employer-Employee Data

G2TT

来源类型	Working Paper
规范类型	报告
DOI	10.3386/w21225
来源ID	Working Paper 21225
	Does Exporting Improve Matching? Evidence from French Employer-Employee Data
	Matilde Bombardini; Gianluca Orefice; Maria D. Tito
发表日期	2015-06-01
出版年	2015
语种	英语
摘要	Does opening a market to international trade affect the pattern of matching between firms and workers? And does the modified sorting pattern affect welfare? This paper answers these questions both theoretically and empirically in three parts. We set up a model of matching between heterogeneous workers and firms where variation in the worker type at the firm level exists in equilibrium only because of the presence of search costs. When firms gain access to the foreign market their revenue potential increases. When stakes are high, matching with the right worker becomes particularly important because deviations from the ideal match quickly reduce the value of the relationship. Hence exporting firms select sets of workers that are less dispersed relative to the average. We then document a novel fact about the hiring decisions of exporting firms versus non-exporting firms in a French matched employer-employee dataset. We find that exporting firms feature a lower type dispersion in the pool of workers they hire. The matching between exporting firms and workers is even tighter in sectors characterized by better exporting opportunities as measured by foreign demand or tariff shocks. In a calibrated general equilibrium version of the model we show that trade opening increases welfare by more when search costs are high, pointing to an additional source of gains from trade.
主题	International Economics ; Trade
URL	https://www.nber.org/papers/w21225
来源智库	National Bureau of Economic Research (United States)
引用统计
资源类型	智库出版物
条目标识符	http://119.78.100.153/handle/2XGU8XDN/578900
推荐引用方式 GB/T 7714	Matilde Bombardini,Gianluca Orefice,Maria D. Tito. Does Exporting Improve Matching? Evidence from French Employer-Employee Data. 2015.