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The estimation of urban premium wage using propensity score analysis: some considerations from the spatial perspective

Author

Listed:
  • Dusan Paredes

    () (IDEAR - Department of Economics, Universidad Católica del Norte - Chile)

  • Marcelo Lufin

    () (IDEAR - Department of Economics, Universidad Católica del Norte - Chile)

  • Patricio Aroca

    () (IDEAR - Department of Economics, Universidad Católica del Norte - Chile)

Abstract

This paper estimates the Urban Wage Premium for the Chilean case, but proposing three contributions to the literature. First, the geographical space is reconfigured using functional regions instead administrative regions. This process is carried out using techniques from the spatial econometric literature. Second, we exploit the use of micro data. We estimate the wage equation using a survey at individual level that avoids problems associated with regional aggregated specifications. Finally, we set the comparability among observations using matching comparison. Thus, we isolate the urban effect from other alternative sources. Our results suggest a Urban Wage Premium between 4 and 21%.

Suggested Citation

  • Dusan Paredes & Marcelo Lufin & Patricio Aroca, 2012. "The estimation of urban premium wage using propensity score analysis: some considerations from the spatial perspective," Documentos de Trabajo en Economia y Ciencia Regional 21, Universidad Catolica del Norte, Chile, Department of Economics, revised Apr 2012.
  • Handle: RePEc:cat:dtecon:dt201207
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    File URL: https://sites.google.com/a/ucn.cl/wpeconomia/archivos/WP2012-07.pdf
    File Function: First version, 2012
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    References listed on IDEAS

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    3. Combes, Pierre-Philippe & Duranton, Gilles & Gobillon, Laurent, 2008. "Spatial wage disparities: Sorting matters!," Journal of Urban Economics, Elsevier, vol. 63(2), pages 723-742, March.
    4. Zephyr, 2010. "The city," City, Taylor & Francis Journals, vol. 14(1-2), pages 154-155, February.
    5. Guido W. Imbens, 2004. "Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 4-29, February.
    6. Giordano Mion & Paolo Naticchioni, 2009. "The spatial sorting and matching of skills and firms," Canadian Journal of Economics, Canadian Economics Association, vol. 42(1), pages 28-55, February.
    7. Michael Lechner, 1999. "Nonparametric bounds on employment and income effects of continuous vocational training in East Germany," Econometrics Journal, Royal Economic Society, vol. 2(1), pages 1-28.
    8. Stefano Iacus & Gary King & Giuseppe Porro, 2008. "Matching for Causal Inference Without Balance Checking," UNIMI - Research Papers in Economics, Business, and Statistics unimi-1073, Universitá degli Studi di Milano.
    9. Elvery, Joel A., 2010. "City size and skill intensity," Regional Science and Urban Economics, Elsevier, vol. 40(6), pages 367-379, November.
    10. Glaeser, Edward L & Mare, David C, 2001. "Cities and Skills," Journal of Labor Economics, University of Chicago Press, vol. 19(2), pages 316-342, April.
    11. Rosenthal, Stuart S. & Strange, William C., 2004. "Evidence on the nature and sources of agglomeration economies," Handbook of Regional and Urban Economics,in: J. V. Henderson & J. F. Thisse (ed.), Handbook of Regional and Urban Economics, edition 1, volume 4, chapter 49, pages 2119-2171 Elsevier.
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    More about this item

    Keywords

    Size and Spatial Distributions of Regional Economic Activity;

    JEL classification:

    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)

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