Panel data analysis of U.S. coal productivity
Name
2000-004.pdf
Size
560.01 KB
Format
Adobe PDF
Checksum (MD5)
57d7c7cde0fe1907ab2e53f115be23a5
Author(s)
Stoker, Thomas M.
Date Issued
2000
Publisher
MIT Center for Energy and Environmental Policy Research
Series/Report no.
MIT-CEEPR (Series) ; 00-004WP.
Abstract
We analyze labor productivity in coal mining in the United States using indices of productivity change associated with the concepts of panel data modeling. This approach is valuable when there is extensive heterogeneity in production units, as with coal mines. We find substantial returns to scale for coal mining in all geographical regions, and find that smooth technical progress is exhibited by estimates of the fixed effects for coal mining. We carry out a variety of diagnostic analyses of our basic model and primary modeling assumptions, using recently proposed methods for addressing 'errors-in-variable' and 'weak instrument bias' problems, as well a new method for studying errors-in-variables in nonlinear contexts.
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