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Determinantes y usos del flujo de remesas familiares recibidas: El caso de Bolivia

Author

Listed:
  • Valeria Jemio Hurtado
  • Laura Rubín de Celis
  • Liliana Villamil Velasco

    (Banco Central de Bolivia)

Abstract

El presente trabajo tiene el propósito de conocer los factores que determinan el flujo de remesas familiares recibidas y evaluar el uso o destino de estos recursos en la economía nacional. Para conseguir el primer objetivo se aplica un modelo de datos de panel y vector de corrección de errores (VEC) cuyos resultados denotan que el comportamiento de las remesas se explica por el desempeño positivo de ciertos sectores de las economías emisoras de estos recursos (en particular los sectores de Servicios, Construcción y Manufactura). Estos hallazgos son sustentados con un análisis de sincronización de ciclos económicos entre las variables de interés. Para cumplir el segundo objetivo, se realiza el análisis de la Encuesta de Hogares y un posterior cálculo de probabilidades de transición à la Markov, mostrando que el principal destino de las remesas familiares recibidas es el consumo; sin embargo, con el paso del tiempo se observa un incremento en la probabilidad de invertir estos recursos.

Suggested Citation

  • Valeria Jemio Hurtado & Laura Rubín de Celis & Liliana Villamil Velasco, 2023. "Determinantes y usos del flujo de remesas familiares recibidas: El caso de Bolivia," Revista de Análisis del BCB, Banco Central de Bolivia, vol. 38(1), pages 84-110, Junuary -.
    • Handle: RePEc:blv:journl:v:38:y:2023:i:1:p:84-110
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    More about this item

    Keywords

    Remesas; modelos con datos de panel; modelos de series temporales; probabilidades de transición;
    All these keywords.

    JEL classification:

    • F24 - International Economics - - International Factor Movements and International Business - - - Remittances
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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