Statistical Analysis and Evaluation of Macroeconomic Policies: A Selective Review

被引:0
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作者
Ze-qin Liu
Zong-wu Cai
Ying Fang
Ming Lin
机构
[1] Xiamen University,The Wang Yanan Institute for Studies in Economics, MOE Key Laboratory of Econometrics (Xiamen University), Fujian Provincial Key Laboratory of Statistical Science
[2] University of Kansas,Department of Economics
[3] Xiamen University,Department of Statistics, School of Economics
关键词
Impulse response function; Macroeconomic casual inferences; Macroeconomic policy evaluation; Multiple time series data; Potential outcomes; Treatment effect; 62F02; 62G02;
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摘要
In this paper, we highlight some recent developments of a new route to evaluate macroeconomic policy effects, which are investigated under the framework with potential outcomes. First, this paper begins with a brief introduction of the basic model setup in modern econometric analysis of program evaluation. Secondly, primary attention goes to the focus on causal effect estimation of macroeconomic policy with single time series data together with some extensions to multiple time series data. Furthermore, we examine the connection of this new approach to traditional macroeconomic models for policy analysis and evaluation. Finally, we conclude by addressing some possible future research directions in statistics and econometrics.
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页码:57 / 83
页数:26
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