Labor-market volatility in the search-and-matching model: The role of investment-specific technology shocks

Shocks to investment-specific technology have been identified as a main source of U.S. aggregate output volatility. In this paper, we present a model with frictions in the labor market and explore the contribution of these shocks to the volatility of labor market variables, namely, unemployment, vac...

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Published inJournal of economic dynamics & control Vol. 34; no. 8; pp. 1509 - 1527
Main Authors Faccini, Renato, Ortigueira, Salvador
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.08.2010
North-Holland Publ. Co
Elsevier
SeriesJournal of Economic Dynamics and Control
Subjects
Online AccessGet full text
ISSN0165-1889
1879-1743
DOI10.1016/j.jedc.2010.04.009

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Abstract Shocks to investment-specific technology have been identified as a main source of U.S. aggregate output volatility. In this paper, we present a model with frictions in the labor market and explore the contribution of these shocks to the volatility of labor market variables, namely, unemployment, vacancies, tightness and the job-finding rate. Thus, our paper contributes to a recent body of literature assessing the ability of the search-and-matching model to account for the large volatility observed in labor market variables. To this aim, we solve a neoclassical economy with search and matching, where neutral and investment-specific technologies are subject to shocks. The three key features of our model economy are: (i) Firms are large, in the sense that they employ many workers. (ii) Adjusting capital and labor is costly. (iii) Wages are the outcome of an intra-firm Nash-bargaining problem between the firm and its workers. In our calibrated economy, we find that shocks to investment-specific technology explain 40% of the observed volatility in U.S. labor productivity. Moreover, these shocks generate relative volatilities in vacancies and the workers’ job finding rate which match those observed in U.S. data. Relative volatilities in unemployment and labor market tightness are 55% and 75% of their empirical values, respectively.
AbstractList Shocks to investment-specific technology have been identified as a main source of U.S. aggregate output volatility. In this paper, we present a model with frictions in the labor market and explore the contribution of these shocks to the volatility of labor market variables, namely, unemployment, vacancies, tightness and the job-finding rate. Thus, our paper contributes to a recent body of literature assessing the ability of the search-and-matching model to account for the large volatility observed in labor market variables. To this aim, we solve a neoclassical economy with search and matching, where neutral and investment-specific technologies are subject to shocks. The three key features of our model economy are: (i) Firms are large, in the sense that they employ many workers. (ii) Adjusting capital and labor is costly. (iii) Wages are the outcome of an intra-firm Nash-bargaining problem between the firm and its workers. In our calibrated economy, we find that shocks to investment-specific technology explain 40% of the observed volatility in U.S. labor productivity. Moreover, these shocks generate relative volatilities in vacancies and the workers' job finding rate which match those observed in U.S. data. Relative volatilities in unemployment and labor market tightness are 55% and 75% of their empirical values, respectively. All rights reserved, Elsevier
Shocks to investment-specific technology have been identified as a main source of U.S. aggregate output volatility. In this paper, we present a model with frictions in the labor market and explore the contribution of these shocks to the volatility of labor market variables, namely, unemployment, vacancies, tightness and the job-finding rate. Thus, our paper contributes to a recent body of literature assessing the ability of the search-and-matching model to account for the large volatility observed in labor market variables. To this aim, we solve a neoclassical economy with search and matching, where neutral and investment-specific technologies are subject to shocks. The three key features of our model economy are: (i) Firms are large, in the sense that they employ many workers. (ii) Adjusting capital and labor is costly. (iii) Wages are the outcome of an intra-firm Nash-bargaining problem between the firm and its workers. In our calibrated economy, we find that shocks to investment-specific technology explain 40% of the observed volatility in U.S. labor productivity. Moreover, these shocks generate relative volatilities in vacancies and the workers' job finding rate which match those observed in U.S. data. Relative volatilities in unemployment and labor market tightness are 55% and 75% of their empirical values, respectively.
Author Ortigueira, Salvador
Faccini, Renato
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Keywords Labor market fluctuations
Investment-specific technology
Adjustment costs
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Factor adjustment dynamics
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Snippet Shocks to investment-specific technology have been identified as a main source of U.S. aggregate output volatility. In this paper, we present a model with...
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SubjectTerms Adjustment costs
Anpassungskosten
Arbeitsmarkt
Factor adjustment dynamics
Factor prices
Friktionelle Arbeitslosigkeit
Investment-specific technology
Konjunktur
Labor market fluctuations
Labour economics
Labour force utilization
Labour market participation
Labour market structure
Labour mobility
Labour supply
Schock
Search and matching
Search and matching Labor market fluctuations Investment-specific technology Adjustment costs Factor adjustment dynamics
Search theory
Tarifverhandlungen
Technology assessment
Theorie
U.S.A
USA
Title Labor-market volatility in the search-and-matching model: The role of investment-specific technology shocks
URI https://dx.doi.org/10.1016/j.jedc.2010.04.009
http://www.econis.eu/PPNSET?PPN=634344056
http://econpapers.repec.org/article/eeedyncon/v_3a34_3ay_3a2010_3ai_3a8_3ap_3a1509-1527.htm
https://www.proquest.com/docview/754870287
https://www.proquest.com/docview/762957344
Volume 34
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