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来源类型 | Working Paper |
规范类型 | 报告 |
DOI | 10.3386/w25321 |
来源ID | Working 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 |
URL | https://www.nber.org/papers/w25321 |
来源智库 | National Bureau of Economic Research (United States) |
引用统计 | |
资源类型 | 智库出版物 |
条目标识符 | http://119.78.100.153/handle/2XGU8XDN/582995 |
推荐引用方式 GB/T 7714 | Andrew Atkeson,Ariel Burstein,Manolis Chatzikonstantinou. Transitional Dynamics in Aggregate Models of Innovative Investment. 2018. |
条目包含的文件 | ||||||
文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
w25321.pdf(312KB) | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 |
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