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A Disaggregate Model and Second Round Effects for the CPI Inflation in Costa Rica

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  • Leon, Jorge

Abstract

This paper estimates a medium-term forecasting model for the headline inflation of Costa Rica, utilizing disaggregate data from the components of the Consumer Price Index (CPI). The period used for the estimation is characterize by a process of reduction of inflation and stabilized around the Central Bank's inflation target. The result show that the use of disaggregate data is at least as good as the aggregate data in forecast accuracy. The disaggregate model allows to differentiate the inertia and the Second-Round effects present on the inflation.

Suggested Citation

  • Leon, Jorge, 2012. "A Disaggregate Model and Second Round Effects for the CPI Inflation in Costa Rica," MPRA Paper 44484, University Library of Munich, Germany, revised 2012.
    • Handle: RePEc:pra:mprapa:44484
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    File URL: https://mpra.ub.uni-muenchen.de/44484/1/MPRA_paper_44484.pdf
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    References listed on IDEAS

    as
    1. Hendry, David & Hubrich, Kirstin, 2006. "Forecasting Economic Aggregates by Disaggregates," CEPR Discussion Papers 5485, C.E.P.R. Discussion Papers.
    2. Marcus Cobb, 2009. "Forecasting Chilean Inflation From Disaggregate Components," Working Papers Central Bank of Chile 545, Central Bank of Chile.
    3. Aigner, Dennis J & Goldfeld, Stephen M, 1974. "Estimation and Prediction from Aggregate Data when Aggregates are Measured More Accurately than Their Components," Econometrica, Econometric Society, vol. 42(1), pages 113-134, January.
    4. Davidson, Russell & MacKinnon, James G., 1993. "Estimation and Inference in Econometrics," OUP Catalogue, Oxford University Press, number 9780195060119.
    5. Francesco Ravazzolo & Shaun P Vahey, 2010. "Measuring Core Inflation in Australia with Disaggregate Ensembles," RBA Annual Conference Volume (Discontinued), in: Renée Fry & Callum Jones & Christopher Kent (ed.),Inflation in an Era of Relative Price Shocks, Reserve Bank of Australia.
    6. Aigner, D.J. & Goldfeld, S.M., 1974. "Estimation and prediction from aggregate data when aggregates are measured more accurately than their components," LIDAM Reprints CORE 190, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
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    Cited by:

    1. International Monetary Fund, 2015. "Cross-Country Report on Inflation: Selected Issues," IMF Staff Country Reports 2015/184, International Monetary Fund.

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    More about this item

    Keywords

    Inflation; Forecast; CPI; PPI; Second Round Effect.;
    All these keywords.

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies

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