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Estimating DSGE model parameters in a small open economy: Do real-time data matter?

机译:在小型开放经济中估算DSGE模型参数:实时数据重要吗?

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This paper investigates the differences between parameters estimated using real-time and those estimated with revised data. The models used are New Keynesian DSGE models of the Czech, Polish, Hungarian, Swiss, and Swedish small open economies in interaction with the euro area. The paper also offers an analysis of data revisions of GDP growth and inflation and trend revisions of interest rates. Data revisions are found to be unbiased and not autocorrelated in all countries. Inflation is usually measured more accurately in real-time than GDP growth, but this is not the case in the euro area. The results of the core analysis suggest that there are significant differences between parameter estimates using real-time data and those estimated using revised data. The model parameters that are most prone to significant differences between real-time and revised estimations are habit in consumption and persistence of domestic supply, of demand, and of world-wide technology shocks. The impulse response analysis suggests that the model behavior based on real-time and revised data is different.
机译:本文研究了使用实时估计的参数和使用修订后的数据估计的参数之间的差异。所使用的模型是捷克,波兰,匈牙利,瑞士和瑞典与欧元区互动的小型凯恩斯主义的新凯恩斯主义DSGE模型。本文还提供了对GDP增长和通货膨胀的数据修订以及利率趋势修订的分析。在所有国家/地区中,数据修订都是无偏见且不自相关的。通货膨胀通常比GDP增长更准确地实时测量,但欧元区情况并非如此。核心分析的结果表明,使用实时数据的参数估计与使用修订数据的参数估计之间存在显着差异。实时估计值和修订估计值之间最容易出现明显差异的模型参数是习惯,即习惯于国内供应,需求和全球技术冲击的消耗和持续存在。冲激响应分析表明,基于实时数据和修正数据的模型行为是不同的。

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