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Sticky Information and Inflation Persistence: Evidence from U.S. Data

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  • Benedetto Molinari

    (Department of Economics, Universidad Pablo de Olavide)

Abstract

This paper provides a novel single equation estimator of the Sticky Information Phillips Curve (SIPC), which permits to estimate the exact model without any approximation or truncation. In detail, information stickiness is estimated by employing a GMM estimator that matches the theoretical with the actual covariances between current inflation and the lagged exogenous shocks that affect firms’ pricing decisions, which are considered the moments that measure inflation persistence. The main result of the paper is to show that the SIPC model can match inflation persistence only at the cost of mispredicting the variance of inflation, which is a novel finding in the empirical literature on the SIPC.

Suggested Citation

  • Benedetto Molinari, 2010. "Sticky Information and Inflation Persistence: Evidence from U.S. Data," Working Papers 10.09, Universidad Pablo de Olavide, Department of Economics.
    • Handle: RePEc:pab:wpaper:10.09
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    Cited by:

    1. Orlando Gomes, 2012. "Transitional Dynamics in Sticky-Information General Equilibrium Models," Computational Economics, Springer;Society for Computational Economics, vol. 39(4), pages 387-407, April.

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    More about this item

    Keywords

    Sticky Information; Inflation Persistence; two-stage GMM estimator;
    All these keywords.

    JEL classification:

    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

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