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Asymmetry of Relative Prices and Inflation Dynamics in Brazil

Author

Listed:
  • Fernando Marques Mansilla
  • Elano Ferreira Arruda

Abstract

This paper analyzes how the asymmetry of relative prices fits as a measure of supply shock in the Hybrid New Keynesian Phillips Curve (HNPKC). For this purpose, monthly data from January 2003 to November 2023 is used, along with the generalized method of moments robust to heteroskedasticity and autocorrelation (GMM-HAC). The results indicate that the asymmetry of relative prices performs well as an indicator of supply shocks, having a positive effect on inflation, and its impact is amplified in a scenario of greater economic instability. Additionally, there is evidence of strong inertial inflation that intensifies in an unstable environment, while forward-looking expectations are statistically significant only in stable conditions. Finally, the output gap is statistically significant regardless of the macroeconomic scenario analyzed.

Suggested Citation

  • Fernando Marques Mansilla & Elano Ferreira Arruda, 2024. "Asymmetry of Relative Prices and Inflation Dynamics in Brazil," Applied Economics and Finance, Redfame publishing, vol. 11(4), pages 15-27, November.
    • Handle: RePEc:rfa:aefjnl:v:11:y:2024:i:4:p:15-27
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    References listed on IDEAS

    as
    1. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    2. Galí, Jordi & Gertler, Mark, 1999. "Inflation Dynamics: A Structural Economic Analysis," CEPR Discussion Papers 2246, C.E.P.R. Discussion Papers.
    3. Mário Jorge Mendonça & Adolfo Sachsida, 2012. "Inflação Versus Desemprego: Novas Evidências Para o Brasil," Discussion Papers 1763, Instituto de Pesquisa Econômica Aplicada - IPEA.
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    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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