IDEAS home Printed from https://ideas.repec.org/p/spa/wpaper/2015wpecon7.html
   My bibliography  Save this paper

Spatial Distribution of Agglomeration Effects on the Returns to Education in Brazil

Author

Listed:
  • Diana Lúcia Gonzaga da Silva
  • Gervásio Ferreira dos Santos, Ricardo da Silva Freguglia

Abstract

The objective of this paper is to analyze the spatial distribution of the agglomeration effect on wage differentials, from the returns to education in Brazil. To find the agglomeration effect on the returns to education in the 24 metropolitan areas in Brazil, a wage equation was estimated with the control of individual fixed effects and metropolitan areas effects, using a panel of micro data - RAIS-Migra - of formal workers. The results show that there is agglomeration gain of the return to education in Brazil. These gains are more favorable in the North and Northeast regions of Brazil. The metropolitan areas of the Center-South tend to generate higher earnings from individual skills of workers

Suggested Citation

  • Diana Lúcia Gonzaga da Silva & Gervásio Ferreira dos Santos, Ricardo da Silva Freguglia, 2015. "Spatial Distribution of Agglomeration Effects on the Returns to Education in Brazil," Working Papers, Department of Economics 2015_07, University of São Paulo (FEA-USP).
  • Handle: RePEc:spa:wpaper:2015wpecon7
    as

    Download full text from publisher

    File URL: http://www.repec.eae.fea.usp.br/documentos/Silva_Santos_Freguglia_07WP.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Agglomeration Economies; Urban Wage Premium; Education; Wage Inequality; Metropolitan Areas;
    All these keywords.

    JEL classification:

    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spa:wpaper:2015wpecon7. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Pedro Garcia Duarte (email available below). General contact details of provider: https://edirc.repec.org/data/deuspbr.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.