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创新投资总量模型中的过渡动态

Transitional Dynamics in Aggregate Models of Innovative Investment
Annual Review of Economics · 2019 · Andrew Atkeson、Ariel Burstein、Manolis Chatzikonstantinou

中文摘要

对于经济环境变化如何影响短期、中期和长期的总量生产率动态,我们能从企业通过创新投资实现内生技术变迁的模型中获得哪些定量启示?我们提出一个统一模型,将文献中的若干经典模型作为特例纳入其中,并用两个充分统计量刻画这些模型对总量生产率过渡动态的实证含义及其福利含义。我们回顾这两个充分统计量的测量现状,并讨论在广泛的反事实实验中,本模型在实证与规范层面所蕴含的定量结果的范围,其中包括新企业进入率下降与总量生产率增长放缓之间的联系。最后,我们总结本研究的分析所得的启示,以帮助指引未来旨在构建可用于定量分析的内生生产率增长模型的研究。

Abstract

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 several canonical models in the literature and characterize both 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. 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 that are useful for quantitative analysis.
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