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Steven D Levitt, John A List, Chad Syverson

Cited by*: 7 Downloads*: 12

Productivity improvements within establishments (e.g., factories, mines, or retail stores) are an important source of aggregate productivity growth. Past research has documented that learning by doing-productivity improvements that occur in concert with production increases-is one source of such improvements. Yet little is known about the specific mechanisms through which such learning occurs. We address this question using extremely detailed data from an assembly plant of a major auto producer. Beyond showing that there is rapid learning by doing at the plant, we are able to pinpoint the processes by which these improvements have occurred.

Michael Greenstone, John A List, Chad Syverson

Cited by*: 14 Downloads*: 1

The economic costs of environmental regulations have been widely debated since the U.S. began to restrict pollution emissions more than four decades ago. Using detailed production data from nearly 1.2 million plant observations drawn from the 1972-1993 Annual Survey of Manufactures, we estimate the effects of air quality regulations on manufacturing plants' total factor productivity (TFP) levels. We find that among surviving polluting plants, stricter air quality regulations are associated with a roughly 2.6 percent decline in TFP. The regulations governing ozone have particularly large negative effects on productivity, though effects are also evident among particulates and sulfur dioxide emitters. Carbon monoxide regulations, on the other hand, appear to increase measured TFP, especially among refineries. The application of corrections for the confounding of price increases and output declines and sample selection on survival produce a 4.8 percent estimated decline in TFP for polluting plants in regulated areas. This corresponds to an annual economic cost from the regulation of manufacturing plants of roughly $21 billion, about 8.8 percent of manufacturing sector profits in this period.

Amee Kamdar, Steven D Levitt, John A List, Brian Mullaney, Chad Syverson

Cited by*: None Downloads*: None

In this paper, we present the results of a two-year series of large-scale natural field experiments involving hundreds of thousands of subjects.