Measuring Cross-Country Differences in Misallocation
January 2016
Working Paper Number:
CES-16-50R
Abstract
We describe differences between the commonly used version of the U.S. Census of Manufactures available at the RDCs and what establishments themselves report. The originally reported data has substantially more dispersion in measured establishment productivity. Measured allocative efficiency is substantially higher in the cleaned data than the raw data: 4x higher in 2002, 20x in 2007, and 80x in 2012. Many of the important editing strategies at the Census, including industry analysts' manual edits and edits using tax records, are infeasible in non-U.S. datasets. We describe a new Bayesian approach for editing and imputation that can be used across contexts.
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:
estimating,
statistical,
data census,
report,
analyst,
agency,
respondent,
employed,
imputation,
reporting,
revenue,
record,
irs,
use census,
datasets
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The model is able to label words and phrases by part-of-speech,
including "organizations." By filtering for frequent words and phrases labeled as "organizations", papers are
identified to contain references to specific institutions, datasets, and other organizations.
:
Census of Manufactures,
Annual Survey of Manufactures,
Internal Revenue Service,
Center for Economic Studies,
Total Factor Productivity,
Cobb-Douglas,
Census Bureau Longitudinal Business Database,
IQR,
TFPR,
TFPQ,
Census Bureau Disclosure Review Board,
Disclosure Review Board,
Federal Statistical Research Data Center
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