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El índice Big Mac y su relación con la paridad del poder de compra en el caso colombiano

Author

Listed:
  • Álvaro Hernando Chaves Castro

    (Escuela Colombiana de Ingeniería)

  • María Constanza Torres Tamayo

    (Escuela Colombiana de Ingeniería)

  • Alvaro Andrés Perdomo Strauch

    (Escuela Colombiana de Ingeniería)

Abstract

El Big Mac como indicador proxy de la paridad de poder de compra cobra mucha relevancia durante periodos de alta depreciación de la moneda. ¿Se encuentran subvaluadas o sobrevaloradas las monedas con respecto al dólar?, ¿se cumple la paridad del poder de compra (PPC) absoluta y relativa en Colombia? Mediante una estructura de datos de corte longitudinal y la estimación de un modelo de datos de panel, damos respuesta a estas preguntas. Para Colombia se han observado momentos en los que oficialmente se informaba una apreciación del peso frente al dólar, el índice Big Mac detectó una depreciación real. Las estimaciones indican que existe evidencia empírica a favor de la PPC absoluta, es decir, a partir de la ecuación transformada por logaritmos y estimada mediante el método GLS, mientras que no existe evidencia empírica que apoye el cumplimiento de la PPC en términos relativos.

Suggested Citation

  • Álvaro Hernando Chaves Castro & María Constanza Torres Tamayo & Alvaro Andrés Perdomo Strauch, 2024. "El índice Big Mac y su relación con la paridad del poder de compra en el caso colombiano," Apuntes del Cenes, Universidad Pedagógica y Tecnológica de Colombia, vol. 43(77), pages 73-102.
    • Handle: RePEc:col:000152:022243
    DOI: 10.19053/uptc.01203053.v43.n77.2024
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    Keywords

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    JEL classification:

    • L - Industrial Organization
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • 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

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