全要素生产率
经济
构造(python库)
反事实条件
模仿
计量经济学
分布(数学)
内生增长理论
增长模型
微观经济学
生产力
宏观经济学
反事实思维
人力资本
数学
哲学
数学分析
认识论
程序设计语言
社会心理学
经济增长
计算机科学
心理学
作者
Michael König,Kjetil Storesletten,Zheng Song,Fabrizio Zilibotti
出处
期刊:Econometrica
[Wiley]
日期:2022-01-01
卷期号:90 (4): 1615-1654
被引量:37
摘要
We construct an endogenous growth model with random interactions where firms are subject to distortions. The TFP distribution evolves endogenously as firms seek to upgrade their technology over time either by innovating or by imitating other firms. We use the model to quantify the effects of misallocation on TFP growth in emerging economies. We structurally estimate the stationary state of the dynamic model targeting moments of the empirical distribution of R&D and TFP growth in China during the period 2007–2012. The estimated model fits the Chinese data well. We compare the estimates with those obtained using data for Taiwan and perform counterfactuals to study the effect of alternative policies. R&D misallocation has a large effect on TFP growth.
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