Improving the Accessibility of the NBER's Historical Data
AbstractDuring its early years, the National Bureau of Economic Research (NBER) assembled an extensive dataset on the pre-World War II economy. In 1978, the Inter-University Consortium for Political and Social Research transferred the data from the NBER's handwritten sheets to a machine-readable format. Modern econometric software cannot easily read this format, however, and the data-keying process produced several errors. The authors have converted the machine-readable dataset to a portable format and verified its accuracy using the NBER's handwritten sheets. The dataset is now available on the Internet and can be accessed using standard gopher or web-browser software.
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Bibliographic InfoArticle provided by American Statistical Association in its journal Journal of Business and Economic Statistics.
Volume (Year): 15 (1997)
Issue (Month): 3 (July)
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Web page: http://www.amstat.org/publications/jbes/index.cfm?fuseaction=main
Other versions of this item:
- Daniel Feenberg & Jeffrey A. Miron, 1995. "Improving the Accessibility of the NBER's Historical Data," NBER Working Papers 5186, National Bureau of Economic Research, Inc.
- Daniel Feenberg & Jeffrey A. Miron, 1995. "Improving the Accessibility of the NBER's Historical Data," Macroeconomics 9507001, EconWPA.
- C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
- E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
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.:
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NBER Working Papers
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"A dynamic factor model of the coincident indicators for the US transportation sector,"
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- Lahiri, Kajal & Yao, Wenxiong, 2004. "A dynamic factor model of the coincident indicators for the US transportation sector," MPRA Paper 22360, University Library of Munich, Germany.
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