G2TT
来源类型Discussion paper
规范类型论文
来源IDDP11673
DP11673 Investment-less Growth: An Empirical Investigation
Thomas Philippon; German Gutierrez
发表日期2016-11-30
出版年2016
语种英语
摘要We analyze private fixed investment in the U.S. over the past 30 years. We show that investment is weak relative to measures of profitability and valuation – particularly Tobin’s Q, and that this weakness starts in the early 2000’s. There are two broad categories of explanations: theories that predict low investment because of low Q, and theories that predict low investment despite high Q. We argue that the data does not support the first category, and we focus on the second one. We use industry-level and firm-level data to test whether under-investment relative to Q is driven by (i) financial frictions, (ii) measurement error (due to the rise of intangibles, globalization, etc), (iii) decreased competition (due to technology or regulation), or (iv) tightened governance and/or increased short-termism. We do not find support for theories based on risk premia, financial constraints, or safe asset scarcity, and only weak support for regulatory constraints. Globalization and intangibles explain some of the trends at the industry level, but their explanatory power is quantitatively limited. On the other hand, we find fairly strong support for the competition and short-termism/governance hypotheses. Industries with less entry and more concentration invest less, even after controlling for current market conditions. Within each industry-year, the investment gap is driven by firms that are owned by quasiindexers and located in industries with less entry/more concentration. These firms spend a disproportionate amount of free cash flows buying back their shares.
主题Macroeconomics and Growth ; Monetary Economics and Fluctuations
URLhttps://cepr.org/publications/dp11673
来源智库Centre for Economic Policy Research (United Kingdom)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/540487
推荐引用方式
GB/T 7714
Thomas Philippon,German Gutierrez. DP11673 Investment-less Growth: An Empirical Investigation. 2016.
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