摘要
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.
源语言 | 英语 |
---|---|
页(从-至) | 53-70 |
页数 | 18 |
期刊 | Romanian Journal of Economic Forecasting |
卷 | 17 |
期 | 2 |
出版状态 | 已出版 - 2014 |
已对外发布 | 是 |
指纹
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Hou, C. Q., & Wang, P. (2014). An estimation of sectoral price stickiness using aggregate data. Romanian Journal of Economic Forecasting, 17(2), 53-70.