Using Investment Data to Assess the Importance of Price Mismeasurement

Working Paper: NBER ID: w10627

Authors: Diego Comin

Abstract: This paper presents a new approach to assess the role of price mismeasurement in the productivity slowdown. I invert the firm's investment decision to identify the embodied and disembodied components of productivity growth. With a Cobb-Douglas production function, output price mismeasurement only should affect the latter. Contrary to the mismeasurement hypothesis, I find that in the Post-War period, disembodied productivity grew faster in the hard-to-measure than in the non-manufacturing easy-to-measure sectors, and that disembodied productivity slowed down less in the hard-to-measure than in the easy-to-measure sectors since the 70's. These results hold a fortiori when capital and labor are complements.

Keywords: No keywords provided

JEL Codes: C6; D9; E2


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
output price mismeasurement (E30)disembodied productivity growth (O49)
output price mismeasurement (E30)embodied productivity growth (O49)
disembodied productivity growth in hard-to-measure sectors (O49)disembodied productivity growth in easy-to-measure sectors (O49)
worsening of mismeasurement problems in hard-to-measure sectors (E01)productivity slowdown since the 1970s (O49)

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