An estimation of sectoral price stickiness using aggregate data

Cheng Qi Hou, Pin Wang*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

This article studies how to employ aggregate data to estimate sectoral price stickiness, which is described by the Calvo-style price setting. We find that sectoral price stickiness cannot be effectively estimated by the Bayesian approach of the multisector new Keynesian model that is used in Carvalho and Dam (2010). Then, we propose a structural GMM estimation of sectoral new Keynesian Phillips curves to obtain sectoral price stickiness and the results are well consistent with the available microeconomic evidence on price setting.

Original languageEnglish
Pages (from-to)53-70
Number of pages18
JournalRomanian Journal of Economic Forecasting
Volume17
Issue number2
Publication statusPublished - 2014
Externally publishedYes

Keywords

  • Aggregate data
  • Bayesian approach
  • GMM
  • Sectoral new Keynesian Phillips curve
  • Sectoral price stickiness

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