Search in the Labor Market under Imperfectly Insurable Income Risk [electronic resource] / Mauro Roca.
Material type: TextSeries: IMF Working Papers; Working Paper ; No. 09/188Publication details: Washington, D.C. : International Monetary Fund, 2009Description: 1 online resource (37 p.)ISBN: 1451873352 :ISSN: 1018-5941Subject(s): Duration | Employment | Financial Markets and the Macroeconomy | Fiscal Policies and Behavior of Economic Agents: Firm | Fiscal Policies and Behavior of Economic Agents: Household | Heterogeneous Agen | ThailandAdditional physical formats: Print Version:: Search in the Labor Market under Imperfectly Insurable Income RiskOnline resources: IMF e-Library | IMF Book Store Abstract: This paper develops a general equilibrium model with unemployment and noncooperative wage determination to analyze the importance of incomplete markets when risk-averse agents are subject to idiosyncratic employment shocks. A version of the model calibrated to the U.S. shows that market incompleteness affects individual behavior and aggregate conditions: it reduces wages and unemployment but increases vacancies. Additionally, the model explains the average level of unemployment insurance observed in the U.S. A key mechanism is the joint influence of imperfect insurance and risk aversion in the wage bargaining. The paper also proposes a novel solution to solve this heterogeneous-agent model.This paper develops a general equilibrium model with unemployment and noncooperative wage determination to analyze the importance of incomplete markets when risk-averse agents are subject to idiosyncratic employment shocks. A version of the model calibrated to the U.S. shows that market incompleteness affects individual behavior and aggregate conditions: it reduces wages and unemployment but increases vacancies. Additionally, the model explains the average level of unemployment insurance observed in the U.S. A key mechanism is the joint influence of imperfect insurance and risk aversion in the wage bargaining. The paper also proposes a novel solution to solve this heterogeneous-agent model.
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