2008
DOI: 10.3386/w13866
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Investment and Value: A Neoclassical Benchmark

Abstract: Which investment model best fits firm-level data? To answer this question we estimate alternative models using Compustat data. Surprisingly, the two best-performing specifications are based on Hayashi's (1982) model. This model's foremost implication, that Q is a sufficient statistic for determining a firm's investment decision, has been often rejected because cash-flow and lagged-investment effects are present in investment regressions. However, we find that these regression results are quite fragile and inef… Show more

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Cited by 105 publications
(91 citation statements)
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“…The specification error we identify and renders q an insufficient summary statistic is the primary driver of cash flow effects in our simulated investment-q regressions. Our results closely corroborate findings recently reported in Eberly et al (2008) although (as explained below), in contrast to theirs, our findings are free of measurement error in q. Nevertheless as we demonstrate, measurement error magnifies the specification error we identify.…”
Section: Introductionsupporting
confidence: 81%
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“…The specification error we identify and renders q an insufficient summary statistic is the primary driver of cash flow effects in our simulated investment-q regressions. Our results closely corroborate findings recently reported in Eberly et al (2008) although (as explained below), in contrast to theirs, our findings are free of measurement error in q. Nevertheless as we demonstrate, measurement error magnifies the specification error we identify.…”
Section: Introductionsupporting
confidence: 81%
“…Thus the inclusion of this proxy adequately controls for the omitted state variable. 16 In comparing different investment models, Eberly et al (2008) report empirical results from a Compustat panel of firms and results from a simulated panel of firms that are consistent with the findings from Table 7. Specifically when they add the lagged investment rate in the investment-q regression the latter dominates, and cash flow explains very little of the remaining variation (see Table 2, p.36).…”
Section: Implications For Empirical Worksupporting
confidence: 71%
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