G2TT
来源类型Working Paper
规范类型报告
DOI10.3386/w25321
来源IDWorking Paper 25321
Transitional Dynamics in Aggregate Models of Innovative Investment
Andrew Atkeson; Ariel Burstein; Manolis Chatzikonstantinou
发表日期2018-12-03
出版年2018
语种英语
摘要What quantitative lessons can we learn from models of endogenous technical change through innovative investments by firms for the impact of changes in the economic environment on the dynamics of aggregate productivity in the short, medium, and long run? We present a unifying model that nests a number of canonical models in the literature and characterize their positive implications for the transitional dynamics of aggregate productivity and their welfare implications in terms of two sufficient statistics. We review the current state of measurement of these two sufficient statistics and discuss the range of positive and normative quantitative implications of our model for a wide array of counterfactual experiments, including the link between a decline in the entry rate of new firms and a slowdown in the growth of aggregate productivity given that measurement. We conclude with a summary of the lessons learned from our analysis to help direct future research aimed at building models of endogenous productivity growth useful for quantitative analysis.
主题Development and Growth ; Innovation and R& ; D ; Growth and Productivity
URLhttps://www.nber.org/papers/w25321
来源智库National Bureau of Economic Research (United States)
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条目标识符http://119.78.100.153/handle/2XGU8XDN/582995
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GB/T 7714
Andrew Atkeson,Ariel Burstein,Manolis Chatzikonstantinou. Transitional Dynamics in Aggregate Models of Innovative Investment. 2018.
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