Opening a can of worms: the pitfalls of time-series regression analyses of income inequality
Simon Parker ()
Applied Economics, 2000, vol. 32, issue 2, 221-230
Abstract:
This paper argues that time-series regression analysis is of only very limited use for understanding the determinants of income inequality. The argument is based on a combination of results from the time series econometrics literature and several characteristics of inequality itself, principally nonstationarity of the data in most inequality regression models, and the weak theoretical foundations underlying the models. A sample of postwar US data is used to illustrate the problems involved.
Date: 2000
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://www.tandfonline.com/doi/abs/10.1080/000368400322903 (text/html)
Access to full text is restricted to subscribers.
Related works:
Working Paper: Opening a can of worms: The pitfalls of time series regression analyses of income inequality
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:taf:applec:v:32:y:2000:i:2:p:221-230
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEC20
DOI: 10.1080/000368400322903
Access Statistics for this article
Applied Economics is currently edited by Anita Phillips
More articles in Applied Economics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().