The Impact of Plant-Level Resource Reallocations and Technical Progress on US Macroeconomic Growth

Working Paper: NBER ID: w16700

Authors: Amil Petrin; T. Kirk White; Jerome P. Reiter

Abstract: We build up from the plant level an "aggregate(d)" Solow residual by estimating every U.S. manufacturing plant's contribution to the change in aggregate final demand between 1976 and 1996. Our framework uses the Petrin and Levinsohn (2010) definition of aggregate productivity growth, which aggregates plant-level changes to changes in aggregate final demand in the presence of imperfect competition and other distortions/frictions. We decompose these contributions into plant-level resource reallocations and plant-level technical efficiency changes while allowing in the estimation for 459 different production technologies, one for each 4-digit SIC code. On average we find positive aggregate productivity growth of 2.2% in this sector during this period of declining share in U.S. GDP. We find that aggregate reallocation made a larger contribution to growth than aggregate technical efficiency. Our estimates of the contribution of reallocation range from 1.7% to 2.1% per year, while our estimates of the average contribution of aggregate technical efficiency growth range from 0.2% to 0.6% per year. In terms of cyclicality, the aggregate technical efficiency component has a standard deviation that is roughly 50% to 100% larger than that of aggregate total reallocation, pointing to an important role for technical efficiency in macroeconomic fluctuations. Aggregate reallocation is negative in only 3 of the 20 years of our sample, suggesting that the movement of inputs to more highly valued activities on average plays a stabilizing role in manufacturing growth. Our results have implications for both the theoretical literature on growth and alternative indexes of aggregate productivity growth based only on technical efficiency.

Keywords: aggregate productivity growth; technical efficiency; resource reallocations; manufacturing sector

JEL Codes: E32; L6; O47


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
plant-level resource reallocations (Q30)aggregate productivity growth (APG) (O47)
technical efficiency (D61)aggregate productivity growth (APG) (O47)
aggregate productivity growth (APG) (O47)policies reducing frictions in labor and capital markets (J48)

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