Urban Attributes and Wage Disparities in Brazil: A Multilevel Hierarchical Model

Gustavo Fontes, Rodrigo Simões and A.M. Hermeto Camilo De Oliveira

Regional Studies, 2010, vol. 44, issue 5, 595-607

Abstract: Fontes G. G., Simoes R. F. and Hermeto Camilo de Oliveira A. M. Urban attributes and wage disparities in Brazil: a multilevel hierarchical model, Regional Studies. This paper examines the effects of urban scale and productive structure on individual wage levels in Brazilian cities and metropolitan areas in 1990 and 2000. The estimation through hierarchical linear models enabled the inclusion of variables in different levels (individual and urban) and the decomposition of total wage variance. The results showed significant and huge wage disparities among workers who share similar personal attributes but live in different regions of the country. In addition, the disparities persisted from 1990 to 2000. Finally, the results provided evidence that local economic and labour market factors played an important role in wage determination.

Keywords: Regional wage differentials; Local labour markets; Urban economics; Hierarchical linear models; Brazil (search for similar items in EconPapers)
Date: 2010
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

Downloads: (external link)
http://www.tandfonline.com/doi/abs/10.1080/00343400902926367 (text/html)
Access to full text is restricted to subscribers.

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:taf:regstd:v:44:y:2010:i:5:p:595-607

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/CRES20

DOI: 10.1080/00343400902926367

Access Statistics for this article

Regional Studies is currently edited by Ivan Turok

More articles in Regional Studies from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().