Endogenous Separation, Wage Rigidity and the Dynamics of Unemployment
Daniel Tortorice
No 7, Working Papers from Brandeis University, Department of Economics and International Business School
Abstract:
This paper shows that the Mortensen-Pissarides (MP) model requires endogenous separation to explain the volatility of unemployment. I estimate a version of the MP model with wage rigidity and permanent shocks to match productivity. The model generates sufficient volatility in unemployment, vacancies, job-finding and job-separation despite relatively low worker outside options. I then re-estimate the model while restricting the separation rate to be constant and show that, even though the estimation procedure finds the best fitting model, the model predicts too little variance in unemployment and too much variance in the job-finding rate. Based on this result I conclude that models of unemployment fluctuations need endogenous separation rates to explain unemployment fluctuations.
Keywords: Unemployment; Search Models; Business Cycles (search for similar items in EconPapers)
JEL-codes: E24 E32 J64 (search for similar items in EconPapers)
Pages: 30 pages
Date: 2010-09
New Economics Papers: this item is included in nep-dge and nep-lab
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.brandeis.edu/economics/RePEc/brd/doc/Brandeis_WP07.pdf First version, 2010 (application/pdf)
Related works:
Journal Article: Endogenous separation, wage rigidity and the dynamics of unemployment (2013) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:brd:wpaper:07
Access Statistics for this paper
More papers in Working Papers from Brandeis University, Department of Economics and International Business School Contact information at EDIRC.
Bibliographic data for series maintained by Andrea Luna ().