A state level database for the manufacturing sector: construction and sources
AbstractThis document describes the construction of and data sources for a state-level panel data set measuring output and factor use for the manufacturing sector. These data are a subset of a larger, comprehensive data set that we currently are constructing and hope to post on the FRBSF website in the near future. The comprehensive data set will cover the U.S. manufacturing sector and may be thought of as a state-level analog to other widely used productivity data sets such as the industry-level NBER Productivity Database or Dale Jorgenson’s “KLEM” database or the country-level Penn World Tables, but with an added emphasis on adjusting prices for taxes. The selected variables currently available for public use are nominal and real gross output, nominal and real investment, and real capital stock. The data cover all fifty states and the period 1963 to 2006.
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Bibliographic InfoPaper provided by Federal Reserve Bank of San Francisco in its series Working Paper Series with number 2009-21.
Date of creation: 2009
Date of revision:
This paper has been announced in the following NEP Reports:
- NEP-ALL-2009-10-31 (All new papers)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Chirinko, Robert S. & Wilson, Daniel J., 2008.
"State investment tax incentives: A zero-sum game?,"
Journal of Public Economics,
Elsevier, vol. 92(12), pages 2362-2384, December.
- Robert S. Chirinko & Daniel J. Wilson, 2006. "State investment tax incentives: a zero-sum game?," Working Paper Series 2006-47, Federal Reserve Bank of San Francisco.
- Robert S. Chirinko & Daniel J. Wilson, 2007. "State Investment Tax Incentives: A Zero-Sum Game?," CESifo Working Paper Series 1895, CESifo Group Munich.
- Robert S. Chirinko & Daniel J. Wilson, 2010. "State business taxes and investment: state-by-state simulations," Economic Review, Federal Reserve Bank of San Francisco, pages 13-28.
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