News and Labor Market Dynamics in the Data and in Matching Models

Francesco Zanetti and Konstantinos Theodoridis

No 699, Economics Series Working Papers from University of Oxford, Department of Economics

Abstract: This paper uses a VAR model estimated with Bayesian methods to identify the effect of productivity news shocks on labor market variables by imposing that they are orthogonal to current technology but they explain future observed technology. In the aftermath of a positive news shock, unemployment falls, whereas wages and the job finding rate increase. The analysis establishes that news shocks are important in explaining the historical developments in labor market variables, whereas they play a minor role for movements in real activity. We show that the empirical responses to news shocks are in line with those of a baseline search and matching model of the labor market and that the job destruction rate and real wage rigidities are critical for the variables' responses to the news shock.

Keywords: Anticipated productivity shocks; Bayesian SVAR methods; labor market search frictions (search for similar items in EconPapers)
JEL-codes: C32 C52 E32 (search for similar items in EconPapers)
Date: 2014-02-26
New Economics Papers: this item is included in nep-dge, nep-ger, nep-lab and nep-mac
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13)

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Working Paper: News and labour market dynamics in the data and in matching models (2014)
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