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Relationship between the Consumer Price Index and the Producer Price Index for Six South American Countries

Author

Listed:
  • Oscar Hernán Cerquera Losada
  • Juan Pablo Murcia Arias
  • jonas.conde@contraloria.gov.co

Abstract

This paper analyzes the relationship between the consumer price index and the producer price index for six South American countries Brazil, Colombia, Ecuador, Peru, Paraguay and Uruguay. To determine this relationship we estimated an autoregressive vector model or a model of error correction vectors, depending on the level of integration of the two variables for each country. In addition, the impulse response analysis was performed, and the Toda and Yamamoto causality test was developed. The periodicity of the data varies for each country, as it depends on the availability of the information. Three VAR models (Brazil, Peru and Uruguay) and three VEC models were applied (Colombia, Ecuador and Paraguay) the estimated VAR models, is that in the impulse response function, after a shock of the CPI and / or the PPI on the other variable and on itself, the effects disappear in time and the variables return to their original values. In the VEC model on the other hand, after a shock of the CPI and / or the PPI on the other variable and on itself, the effects do not disappear in time, and therefore the variables present permanent changes in the time.

Suggested Citation

  • Oscar Hernán Cerquera Losada & Juan Pablo Murcia Arias & jonas.conde@contraloria.gov.co, 2018. "Relationship between the Consumer Price Index and the Producer Price Index for Six South American Countries," Apuntes del Cenes, Universidad Pedagógica y Tecnológica de Colombia, vol. 37(66), pages 39-74, June.
  • Handle: RePEc:col:000152:017183
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    References listed on IDEAS

    as
    1. Frimpong, Joseph Magnus & Oteng-Abayie, Eric Fosu, 2006. "Bivariate causality analysis between FDI inflows and economic growth in Ghana," MPRA Paper 351, University Library of Munich, Germany, revised 09 Oct 2006.
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    3. Lutkepohl, Helmut, 2006. "Forecasting with VARMA Models," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 1, chapter 6, pages 287-325, Elsevier.
    4. Carlos Huertas C. & Munir A. Jalil. B., 2000. "Relación Entre El Índice De Precios Del Productor (Ipp) Y El Índice De Precios Al Consumidor (Ipc)," Borradores de Economia 3449, Banco de la Republica.
    5. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
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    More about this item

    Keywords

    autoregressive vector model; error correction vector model; unit root; cointegration; causality;
    All these keywords.

    JEL classification:

    • B23 - Schools of Economic Thought and Methodology - - History of Economic Thought since 1925 - - - Econometrics; Quantitative and Mathematical Studies
    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles

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