Contractionary Monetary Policy and the Dynamics of U.S. Race and Gender Stratification

Stephanie Seguino and James Heintz

Working Papers from Political Economy Research Institute, University of Massachusetts at Amherst

Abstract: This paper explores the distributional effects of contractionary monetary policy by race and gender in the U.S. from 1979-2008 using state-level panel data. We hypothesize that women and Blacks, as groups with less power and lower status in the social hierarchy, fare worse in the competition over jobs, resulting in a disproportionate rise in female and Black unemployment rates relative to White males. We also investigate the possibility that Blacks bear a greater burden of joblessness than females as Black population density rises. Results indicate the costs of fighting inflation are unevenly distributed amongst workers, weighing more heavily on Black females and Black males, followed by White females, and lastly, White males.

Keywords: Monetary policy; stratification; race; gender; unemployment (search for similar items in EconPapers)
JEL-codes: E24 E52 J7 (search for similar items in EconPapers)
Date: 2010
New Economics Papers: this item is included in nep-cba, nep-mac and nep-mon
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://per.umass.edu/fileadmin/pdf/working_papers ... rs_201-250/WP230.pdf (application/pdf)
Our link check indicates that this URL is bad, the error code is: 500 Can't connect to per.umass.edu:443 (No such host is known. )

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:uma:periwp:wp230

Access Statistics for this paper

More papers in Working Papers from Political Economy Research Institute, University of Massachusetts at Amherst Contact information at EDIRC.
Bibliographic data for series maintained by Judy Fogg ( this e-mail address is bad, please contact ).