Educational Attainment and Regional Economic Performance in Mexico

Armando Arellano and Thomas Fullerton ()

International Advances in Economic Research, 2005, vol. 11, issue 2, 242 pages

Abstract: A growing number of studies confirm the importance of educational attainment and human capital investment as a means for improving per capita income performance. In developing countries, attention to this linkage has primarily been carried out using national data aggregates. For relatively large countries such as Mexico, it is helpful to conduct similar analyses that document regional market income patterns. This paper utilizes 2000 census data for all 31 states and the Federal District in Mexico City to quantify regional income performance. Similar to other studies conducted using regional data in higher income economies, results confirm strong links between education and incomes across Mexico. Copyright International Atlantic Economic Society 2005

Keywords: R11 (search for similar items in EconPapers)
Date: 2005
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://hdl.handle.net/10.1007/s11294-005-3018-5 (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:kap:iaecre:v:11:y:2005:i:2:p:231-242:10.1007/s11294-005-3018-5

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11294

DOI: 10.1007/s11294-005-3018-5

Access Statistics for this article

International Advances in Economic Research is currently edited by Katherine S. Virgo

More articles in International Advances in Economic Research from Springer, International Atlantic Economic Society Contact information at EDIRC.
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().