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...

Within-industry differences in measured plant-level productivity are large. A large literature has been devoted to explaining the causes and consequences of these differences. In the U.S. Census Bureau's manufacturing data, the Bureau imputes for missing values using methods known to result in...

In the U.S. Census Bureau's 2002 and 2007 Censuses of Manufactures 79% and 73% of observations respectively have imputed data for at least one variable used to compute total factor productivity. The Bureau primarily imputes for missing values using mean-imputation methods which can reduce the...

We show there is a strong, positive correlation across countries and industries between the standard deviation of the seasonal component and the standard deviation of the non-seasonal component of aggregate variables such as output, labor input, interest rates, and prices. After documenting this...

The paper derives a new monthly index of industrial production for the United States for 1884-1940. This index improves upon existing measures of industrial production by excluding indirect proxies of industrial activity, by only using component series that are consistent over time, and by not...

This paper examines the seasonal cycle in the manufacturing sector of the U.S. economy. we present estimates of the seasonal patterns in monthly data for 2-digit industries, and we demonstrate the similarity of the seasonal cycle and the business cycle in manufacturing with respect to several...