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Tendencias y factores asociados en la distribución del ingreso y en el mercado de trabajo en Bolivia

Author

Listed:
  • Ernesto Bernal Martinez

    (Investigador del Instituto de Investigaciones Económicas UTO)

Abstract

Esta investigación pretende estimar el coeficiente de Gini, la distribución de Kernel y la descomposición contrafactual de la desigualdad en Bolivia. La metodología empleada estima el coeficiente de Gini, la función de Kernel y la descomposición de Shapley con datos de la Encuesta de Hogares 2022 del Instituto Nacional de Estadística (INESAD). El coeficiente de Gini en Bolivia, estimado en 0,42, evidencia un nivel de desigualdad moderado: así, por área de residencia se advierte una disparidad significativa entre el ámbito urbano (de 0,39) en relación con el ámbito rural (que alcanza el 0,48). El departamento de Tarija presenta el coeficiente más bajo (0,38), con una distribución del ingreso más equitativa. En el extremo opuesto, Potosí registra el valor más alto (0,53). El bandwidth de 96,2385 indica que cada valor de ingreso contribuye a estimar la densidad de los valores cercanos dentro de ±96,24 unidades. Los resultados obtenidos -mediante la descomposición de Shapley- muestran que existe una elevada dependencia del ingreso laboral como predictor principal.

Suggested Citation

  • Ernesto Bernal Martinez, 2025. "Tendencias y factores asociados en la distribución del ingreso y en el mercado de trabajo en Bolivia," Development Research Working Paper Series 11/2025, Institute for Advanced Development Studies.
    • Handle: RePEc:adv:wpaper:202511
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    References listed on IDEAS

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    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
    • D33 - Microeconomics - - Distribution - - - Factor Income Distribution

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