Monitoring Intensity and Technology Choice in A Model of Unemployment
Haiwen Zhou ()
MPRA Paper from University Library of Munich, Germany
The interaction among a firm’s choices of output, technology, and monitoring intensity is studied in a general equilibrium model. Firms engage in oligopolistic competition and unemployment is a result of the existence of efficiency wages. The following results are derived analytically. First, an increase in the cost of exerting effort leads a firm to choose a more advanced technology and a lower level of monitoring intensity. Second, an increase in the discount rate does not change a firm’s choices of technology and monitoring intensity. Third, an increase in the elasticity of substitution among goods leads a firm to choose higher levels of monitoring intensity and technology. In a model in which the level of monitoring is exogenously given, there is a negative relationship between the wage rate and the monitoring intensity. In this model with endogenously chosen monitoring intensity, the wage rate and the monitoring intensity can move either in the same direction or in opposite directions.
Keywords: Unemployment; efficiency wages; monitoring intensity; the choice of technology; oligopoly (search for similar items in EconPapers)
JEL-codes: E24 J64 L13 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-dge and nep-mac
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
https://mpra.ub.uni-muenchen.de/92494/1/MPRA_paper_92494.pdf original version (application/pdf)
Journal Article: Monitoring Intensity and Technology Choice in a Model of Unemployment (2020)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:92494
Access Statistics for this paper
More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().