利用通胀预期调查数据估计学习和理性预期模型

Using Survey Data of Inflation Expectations in the Estimation of Learning and Rational Expectations Models

Journal of Money, Credit and Banking · 2015
被引 58
人大 A-ABS 4

中文导读

研究了通胀预期调查数据是否有助于估计宏观经济模型,发现适应性学习在同时拟合宏观数据和调查数据方面优于理性预期。

Abstract

Does survey data contain useful information for estimating macroeconomic models? We address this question by using survey data of inflation expectations to estimate the New Keynesian model by Smets and Wouters ( ) and compare its performance under rational expectations and adaptive learning. The survey information serves as an additional moment restriction and helps us to determine the learning agents' forecasting model for inflation. Adaptive learning fares similarly to rational expectations in fitting macro data, but clearly outperforms rational expectations in fitting macro and survey data simultaneously. In other words, survey data contain additional information that is not present in the macro data alone.

通胀预期调查数据理性预期适应性学习新凯恩斯模型