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Descentralización Fiscal y Crecimiento Económico: Evidencia Regional en Panel de Datos para Colombia

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Abstract

En este documento se ofrece evidencia sobre los efectos de la descentralización fiscal en el crecimiento económico regional en Colombia. El análisis se desarrolla para el periodo posterior a la Constitución Política promulgada en 1991. La estrategia empírica incluyó la elección de estimadores apropiados para el enfoque de panel de datos (los estimadores AMD, Augmented Mean Group), que permiten introducir los factores no observados junto a los factores tradicionales sugeridos por la literatura como determinantes el crecimiento de largo plazo. La estrategia se complementó con estimaciones de cortes transversales para diferentes períodos y diversas variables de control y con pruebas sobre la hipótesis de complementariedad entre bienes públicos suministrados por diferentes jurisdicciones (efectos spillover).

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  • Ignacio Lozano-Espitia & Juan Manuel Julio-Román, 2015. "Descentralización Fiscal y Crecimiento Económico: Evidencia Regional en Panel de Datos para Colombia," Borradores de Economia 865, Banco de la Republica de Colombia.
    • Handle: RePEc:bdr:borrec:865
    DOI: 10.32468/be.865
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    Cited by:

    1. Alejandro López-Vera & Andrés D. Pinchao-Rosero & Norberto Rodríguez-Niño, 2018. "Non-Linear Fiscal Multipliers for Public Expenditure and Tax Revenue in Colombia," Revista ESPE - Ensayos Sobre Política Económica, Banco de la República, vol. 36(85), pages 48-64, November.

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    More about this item

    Keywords

    Descentralización fiscal; crecimiento económico; complementariedad; panel de datos;
    All these keywords.

    JEL classification:

    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General
    • H77 - Public Economics - - State and Local Government; Intergovernmental Relations - - - Intergovernmental Relations; Federalism
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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