IDEAS home Printed from https://ideas.repec.org/a/taf/specan/v5y2010i4p463-482.html
   My bibliography  Save this article

Regional Imbalances and Market Potential in Brazil

Author

Listed:
  • Pedro Amaral
  • Mauro Lemos
  • Rodrigo Simões
  • Flávia Chein

Abstract

Abstract This paper estimates the effects of market potential on regional wage imbalances between Brazilian municipalities. Using data from the 1980, 1991 and 2000 Brazilian Census, which render 3,630 comparable municipality areas, we estimate the NEG's wage equation using a spatial panel data model accounting for endogeneity. Our results show new evidence of a strong relationship between market potential and wages, indicating that regional attributes, as well as individual, are correlated with wages and their regional disparities. Inégalités régionales et potentiel commercial au Brésil RÉSUMÉ La présente communication évalue les effets du potentiel commercial des inégalités salariales régionales entre différentes municipalités au Brésil. Sur la base de données extraites des recensements effectués en 1980, 1991 et 2000 au Brésil, permettant de comparer 3,630 municipalités, nous sommes en mesure d'estimer l’équation salariale de NEG en utilisant un modèle de données de panel spatial, en tenant compte de l'endogénéité. Nos résultats fournissent de nouvelles informations sur l'existence de rapports étroits entre le potentiel commercial et les salaires, indiquant la corrélation entre les attributs, tant régionaux qu'individuels, et les salaires ainsi que leurs disparités régionales. Desequilibrios regionales y potencial de mercado en Brasil EXTRACTO Este trabajo estima los efectos del potencial de mercado sobre los desequilibrios salariales regionales entre municipalidades brasileñas. Utilizando datos extraídos de los censos brasileños de 1980, 1991 y 2000, que incluyen 3630 áreas municipales comparables, estimamos la ecuación salarial de NEG empleando un modelo espacial de datos de panel que tiene en cuenta la endogeneidad. Nuestros resultados muestran nueva evidencia de una fuerte relación entre el potencial de mercado y los salarios, indicando que los atributos regionales, así como los individuales, se correlacionan con los salarios y sus disparidades regionales.

Suggested Citation

  • Pedro Amaral & Mauro Lemos & Rodrigo Simões & Flávia Chein, 2010. "Regional Imbalances and Market Potential in Brazil," Spatial Economic Analysis, Taylor & Francis Journals, vol. 5(4), pages 463-482.
  • Handle: RePEc:taf:specan:v:5:y:2010:i:4:p:463-482
    DOI: 10.1080/17421772.2010.516441
    as

    Download full text from publisher

    File URL: http://www.taylorandfrancisonline.com/doi/abs/10.1080/17421772.2010.516441
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Kelejian, Harry H & Prucha, Ingmar R, 1999. "A Generalized Moments Estimator for the Autoregressive Parameter in a Spatial Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 40(2), pages 509-533, May.
    2. Bernard Fingleton, 2008. "A Generalized Method of Moments Estimator for a Spatial Panel Model with an Endogenous Spatial Lag and Spatial Moving Average Errors," Spatial Economic Analysis, Taylor & Francis Journals, vol. 3(1), pages 27-44.
    3. Mion, Giordano, 2004. "Spatial externalities and empirical analysis: the case of Italy," Journal of Urban Economics, Elsevier, vol. 56(1), pages 97-118, July.
    4. Niebuhr, Annekatrin, 2004. "Market Access and Regional Disparities : New Economic Geography in Europe," HWWA Discussion Papers 269, Hamburg Institute of International Economics (HWWA).
    5. Magno Vamberto Batista da Silva & Raul da Mota Silveira Neto, 2005. "Determinantes Da Localização Industrial No Brasil E Geografia Econômica: Evidências Para O Período Pós-Real," Anais do XXXIII Encontro Nacional de Economia [Proceedings of the 33th Brazilian Economics Meeting] 116, ANPEC - Associação Nacional dos Centros de Pósgraduação em Economia [Brazilian Association of Graduate Programs in Economics].
    6. Bernard Fingleton, 2008. "A generalized method of moments estimator for a spatial model with moving average errors, with application to real estate prices," Empirical Economics, Springer, vol. 34(1), pages 35-57, February.
    7. Dixit, Avinash K & Stiglitz, Joseph E, 1977. "Monopolistic Competition and Optimum Product Diversity," American Economic Review, American Economic Association, vol. 67(3), pages 297-308, June.
    8. Krugman, Paul, 1991. "Increasing Returns and Economic Geography," Journal of Political Economy, University of Chicago Press, vol. 99(3), pages 483-499, June.
    9. Fingleton, Bernard, 2008. "Competing models of global dynamics: Evidence from panel models with spatially correlated error components," Economic Modelling, Elsevier, vol. 25(3), pages 542-558, May.
    10. Bowden,Roger J. & Turkington,Darrell A., 1990. "Instrumental Variables," Cambridge Books, Cambridge University Press, number 9780521385824, May.
    11. Masahisa Fujita & Tomoya Mori, 2005. "Frontiers of the New Economic Geography," KIER Working Papers 604, Kyoto University, Institute of Economic Research.
    12. H. Hanson, Gordon, 2005. "Market potential, increasing returns and geographic concentration," Journal of International Economics, Elsevier, vol. 67(1), pages 1-24, September.
    13. Steven Brakman & Harry Garretsen & Marc Schramm, 2000. "The Empirical Relevance of the New Economic Geography: Testing for a Spatial Wage Structure in Germany," CESifo Working Paper Series 395, CESifo Group Munich.
    14. Clélio Campolina Diniz, 1993. "Desenvolvimento poligonal no Brasil: nem desconcentração, nem contínua polarização," Nova Economia, Economics Department, Universidade Federal de Minas Gerais (Brazil), vol. 3(1), pages 35-64, September.
    15. Kapoor, Mudit & Kelejian, Harry H. & Prucha, Ingmar R., 2007. "Panel data models with spatially correlated error components," Journal of Econometrics, Elsevier, vol. 140(1), pages 97-130, September.
    16. Chein, Flávia & Lemos, Mauro Borges & Assunção, Juliano Junqueira, 2007. "Desenvolvimento Desigual: evidências para o Brasil," Revista Brasileira de Economia - RBE, FGV/EPGE - Escola Brasileira de Economia e Finanças, Getulio Vargas Foundation (Brazil), vol. 61(3), March.
    17. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Oxford University Press, vol. 58(2), pages 277-297.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ana Maria Bonomi Barufi, 2014. "Regional labor markets in Brazil: the role of skills and agglomeration economies," Working Papers, Department of Economics 2014_18, University of São Paulo (FEA-USP).
    2. Ana Maria Bonomi Barufi & Eduardo Amaral Haddad & Peter Nijkamp, 2016. "Industrial scope of agglomeration economies in Brazil," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 56(3), pages 707-755, May.
    3. Bernard FINGLETON & Silvia PALOMBI, 2013. "The Wage Curve Reconsidered: Is It Truly An 'Empirical Law Of Economics'?," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 38, pages 49-92.

    More about this item

    Keywords

    Regional imbalances; market potential; New Economic Geography; Brazil; J31; R12;

    JEL classification:

    • F12 - International Economics - - Trade - - - Models of Trade with Imperfect Competition and Scale Economies; Fragmentation
    • R12 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Size and Spatial Distributions of Regional Economic Activity; Interregional Trade (economic geography)
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

    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:taf:specan:v:5:y:2010:i:4:p:463-482. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Chris Longhurst). General contact details of provider: http://www.tandfonline.com/RSEA20 .

    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.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.