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A Spatial Economic Model And Spatial Econometric Analysis Of Population Dynamics In Brazilian Mcas

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  • DIEGO FIRMINO COSTA DA SILVA
  • J. PAUL ELHORST
  • RAUL DA MOTA SILVEIRA NETO

Abstract

To extend existing population growth models, this article proposes a theoretical setting including spatial interaction effects. Using data pertaining to 3659 Brazilian Minimum Comparable Areas (MCA) over the period 1970-2010, this extension is tested by estimating a dynamic spatial panel model. The authors also compare the performance of a wide range of potential neighborhood matrices using Bayesian posterior model probabilities. Six of the thirteen determinants of population growth considered produce significant spatial interaction effects. Moreover, five produce significant long-term spatial spillover effects; a mathematical analysis reveals the strength of this result, which requires more than a single parameter. Treating areas as independent entities, as many previous population growth studies have done, underestimates the impact of various policy measures.
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Suggested Citation

  • Diego Firmino Costa Da Silva & J. Paul Elhorst & Raul Da Mota Silveira Neto, 2016. "A Spatial Economic Model And Spatial Econometric Analysis Of Population Dynamics In Brazilian Mcas," Anais do XLII Encontro Nacional de Economia [Proceedings of the 42nd Brazilian Economics Meeting] 158, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
  • Handle: RePEc:anp:en2014:158
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    1. da Mata, D. & Deichmann, U. & Henderson, J.V. & Lall, S.V. & Wang, H.G., 2007. "Determinants of city growth in Brazil," Journal of Urban Economics, Elsevier, vol. 62(2), pages 252-272, September.
    2. Stephen Gibbons & Henry G. Overman, 2012. "Mostly Pointless Spatial Econometrics?," Journal of Regional Science, Wiley Blackwell, vol. 52(2), pages 172-191, May.
    3. Yu, Jihai & de Jong, Robert & Lee, Lung-fei, 2008. "Quasi-maximum likelihood estimators for spatial dynamic panel data with fixed effects when both n and T are large," Journal of Econometrics, Elsevier, vol. 146(1), pages 118-134, September.
    4. Duranton, Gilles & Puga, Diego, 2014. "The Growth of Cities," Handbook of Economic Growth, in: Philippe Aghion & Steven Durlauf (ed.), Handbook of Economic Growth, edition 1, volume 2, chapter 5, pages 781-853, Elsevier.
    5. Marlon G. Boarnet & Saksith Chalermpong & Elizabeth Geho, 2005. "Specification issues in models of population and employment growth," Papers in Regional Science, Wiley Blackwell, vol. 84(1), pages 21-46, March.
    6. Roback, Jennifer, 1982. "Wages, Rents, and the Quality of Life," Journal of Political Economy, University of Chicago Press, vol. 90(6), pages 1257-1278, December.
    7. Nicolas DEBARSY (CERPE De Namur) & Cem ERTUR & James P. LeSAGE, 2010. "Interpreting Dynamic Space-Time Panel Data Models," LEO Working Papers / DR LEO 800, Orleans Economics Laboratory / Laboratoire d'Economie d'Orleans (LEO), University of Orleans.
    8. Bloom, David E & Williamson, Jeffrey G, 1998. "Demographic Transitions and Economic Miracles in Emerging Asia," The World Bank Economic Review, World Bank Group, vol. 12(3), pages 419-455, September.
    9. Edward L. Glaeser & Joshua D. Gottlieb, 2009. "The Wealth of Cities: Agglomeration Economies and Spatial Equilibrium in the United States," Journal of Economic Literature, American Economic Association, vol. 47(4), pages 983-1028, December.
    10. Cem Ertur & Wilfried Koch, 2007. "Growth, technological interdependence and spatial externalities: theory and evidence," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 22(6), pages 1033-1062.
    11. repec:hoo:wpaper:e-95-4 is not listed on IDEAS
    12. Edward Ludwig Glaeser & Albert Saiz, 2003. "The rise of the skilled city," Working Papers 04-2, Federal Reserve Bank of Philadelphia.
    13. László Mátyás & Patrick Sevestre (ed.), 2008. "The Econometrics of Panel Data," Advanced Studies in Theoretical and Applied Econometrics, Springer, number 978-3-540-75892-1, July-Dece.
    14. Scorzafave, Luiz Guilherme & Soares, Milena Karla, 2009. "Income inequality and pecuniary crimes," Economics Letters, Elsevier, vol. 104(1), pages 40-42, July.
    15. J. Paul Elhorst, 2014. "Dynamic Spatial Panels: Models, Methods and Inferences," SpringerBriefs in Regional Science, in: Spatial Econometrics, edition 127, chapter 0, pages 95-119, Springer.
    16. Allen Kelley & Robert Schmidt, 2005. "Evolution of recent economic-demographic modeling: A synthesis," Journal of Population Economics, Springer;European Society for Population Economics, vol. 18(2), pages 275-300, June.
    17. Glaeser, Edward L. & Scheinkman, JoseA. & Shleifer, Andrei, 1995. "Economic growth in a cross-section of cities," Journal of Monetary Economics, Elsevier, vol. 36(1), pages 117-143, August.
    18. Kristin Mammen & Christina Paxson, 2000. "Women's Work and Economic Development," Journal of Economic Perspectives, American Economic Association, vol. 14(4), pages 141-164, Fall.
    19. Choudhry, Misbah T. & Elhorst, J. Paul, 2010. "Demographic transition and economic growth in China, India and Pakistan," Economic Systems, Elsevier, vol. 34(3), pages 218-236, September.
    20. Yap, Lorene Y. L., 1976. "Rural-urban migration and urban underemployment in Brazil," Journal of Development Economics, Elsevier, vol. 3(3), pages 227-243, September.
    21. Patrick Sevestre & Laszlo Matyas, 2008. "The Econometrics of Panel Data," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00279977, HAL.
    22. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
    23. Schultz, T. Paul, 1995. "Human Capital and Economic Development," 1994 Conference, August 22-29, 1994, Harare, Zimbabwe 183410, International Association of Agricultural Economists.
    24. Menezes, Tatiane & Silveira-Neto, Raul & Monteiro, Circe & Ratton, José Luiz, 2013. "Spatial correlation between homicide rates and inequality: Evidence from urban neighborhoods," Economics Letters, Elsevier, vol. 120(1), pages 97-99.
    25. Raul M. Silveira-Neto & Carlos R. Azzoni, 2012. "Social Policy As Regional Policy: Market And Nonmarket Factors Determining Regional Inequality," Journal of Regional Science, Wiley Blackwell, vol. 52(3), pages 433-450, August.
    26. Glaeser, Edward L., 2008. "Cities, Agglomeration, and Spatial Equilibrium," OUP Catalogue, Oxford University Press, number 9780199290444.
    27. Lee, Lung-fei & Yu, Jihai, 2010. "A Spatial Dynamic Panel Data Model With Both Time And Individual Fixed Effects," Econometric Theory, Cambridge University Press, vol. 26(2), pages 564-597, April.
    28. Jan K. Brueckner, 2003. "Strategic Interaction Among Governments: An Overview of Empirical Studies," International Regional Science Review, , vol. 26(2), pages 175-188, April.
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    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population

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