2014
DOI: 10.1086/677072
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Dynamic Inputs and Resource (Mis)Allocation

Abstract: We investigate the role of dynamic production inputs and their associated adjustment costs in shaping the dispersion of static measures of capital misallocation within industries ðand countriesÞ. Across nine data sets spanning 40 countries, we find that industries exhibiting greater time-series volatility of productivity have greater cross-sectional dispersion of the marginal revenue product of capital. We use a standard investment model with adjustment costs to show that variation in the volatility of product… Show more

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Cited by 308 publications
(234 citation statements)
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References 25 publications
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“…Furthermore, this result suggests that the cyclicality of capital reallocation should not be interpreted as strong evidence in favor of a particular type of shock or in favor of the role of financial frictions in business-cycle dynamics. 2 In this sense, this paper is related to Asker et al (2014), who show that static measures of cross-sectional dispersion in marginal products do not necessarily provide evidence for "misallocation" in a welfare sense in models with investment adjustment costs. Consistent with their result, the present paper suggests that time-series variation in the dispersion of marginal products also does not necessarily imply that the allocation improves or worsens in a welfare sense over time.…”
Section: Related Literaturementioning
confidence: 91%
“…Furthermore, this result suggests that the cyclicality of capital reallocation should not be interpreted as strong evidence in favor of a particular type of shock or in favor of the role of financial frictions in business-cycle dynamics. 2 In this sense, this paper is related to Asker et al (2014), who show that static measures of cross-sectional dispersion in marginal products do not necessarily provide evidence for "misallocation" in a welfare sense in models with investment adjustment costs. Consistent with their result, the present paper suggests that time-series variation in the dispersion of marginal products also does not necessarily imply that the allocation improves or worsens in a welfare sense over time.…”
Section: Related Literaturementioning
confidence: 91%
“…Kehrig (2015) presents evidence for a countercyclical dispersion of (revenue) productivity in U.S. manufacturing. Asker, Collard-Wexler, and De Loecker (2014) show how risk and adjustment costs in capital accumulation can rationalize dispersion of firm-level revenue productivity. Following their observation, our model allows for the possibility that increases in the dispersion of firm-level outcomes are driven by changes in second moments of the stochastic process governing idiosyncratic productivity.…”
Section: We Use a Firm-level Dataset From Orbis-amadeus That Covers Mmentioning
confidence: 98%
“…associated with Shortage, suggesting that coal plants are being run more to respond to a tighter supply-demand balance. 6 Furthermore, Alam (2013) shows that Peak Shortage is correlated with her measure of blackouts, which is based on nighttime lights measured by satellites, and our main empirical results will show that Shortage is strongly correlated with hydroelectricity supply and with manufacturing outcomes such as self-generation. The CEA has lost its reservoir data for 2000 and its hydro plant generation data for 1992, so we impute data in those years using rainfall within the watershed.…”
Section: Ib Power Sector Datamentioning
confidence: 70%