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Una reconsideración sobre la convergencia regional en México

Author

Listed:
  • Edgardo A. Ayala Gaytán

    (ITESM, Campus Monterrey)

  • Joana C. Chapa Cantú

    (Universidad Autónoma de Nuevo León)

  • Juan D. Murguía Hernández

    (ITESM, Campus Monterrey)

Abstract

This study contrasts the traditional tests for regional convergence in Mexico, those applied on cross-section data as long as the ones built in cointegration in time series, with a new approach based in the trend in the income gap regarding a leader state. Applying this method we show that the majority of the state economies closed their gap, both to the national or the leading state per capita income, on average for the period 1940 to 2006, supporting the existence of regional convergence in Mexico at least for a critical mass of states.

Suggested Citation

  • Edgardo A. Ayala Gaytán & Joana C. Chapa Cantú & Juan D. Murguía Hernández, 2011. "Una reconsideración sobre la convergencia regional en México," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 26(2), pages 217-247.
    • Handle: RePEc:emx:esteco:v:26:y:2011:i:2:p:217-247
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    File URL: https://estudioseconomicos.colmex.mx/index.php/economicos/article/view/99/101
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    References listed on IDEAS

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    More about this item

    Keywords

    economic growth; regional growth; regional convergence; convergence in Mexico; cointegration;
    All these keywords.

    JEL classification:

    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General
    • R11 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Regional Economic Activity: Growth, Development, Environmental Issues, and Changes
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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