Business cycle and factor income shares: a VAR sign restriction approach
Lorenzo Tonni ()
MPRA Paper from University Library of Munich, Germany
Abstract:
This paper has a twofold objective. Firstly, to provide a comprehensive literature review of the theories that explain the cyclical interaction between factor shares and economic activity. Secondly, to assess if there is empirical evidence supporting these theories while overcoming the strong criticalities present in the current empirical literature. To this end, a Bayesian VAR identified with sign restrictions is set up. The results suggest that countercyclical fluctuations in the labor share are mainly driven by the pro-cyclicality of labor productivity - consistent with overhead costs and risk distribution theories - and by the Phillips Curve effects upheld by Goodwin. The model does not support the expansive effect of a capital share rise suggested by Goodwin. In contrast, there is partial evidence favoring the biased technical change theory.
Keywords: factor shares; business cycle; labor share; VAR; sign restrictions (search for similar items in EconPapers)
JEL-codes: C32 E25 E32 (search for similar items in EconPapers)
Date: 2022-09-15
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/114586/1/MPRA_paper_114586.pdf original version (application/pdf)
https://mpra.ub.uni-muenchen.de/116517/1/MPRA_paper_114586.pdf revised version (application/pdf)
https://mpra.ub.uni-muenchen.de/116518/1/MPRA_paper_116518.pdf revised version (application/pdf)
Related works:
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:pra:mprapa:114586
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 ().