Fellow's Opinion: Econometrics, Data, and the World Wide Web
AbstractFellows of the Journal of Econometrics are invited to publish personal opinions regarding the field of econometrics in that journal. This paper is a statement of my personal opinion about the potential role of the World Wide Web in improving data quality and availability in economics. The paper also relates to current controversies regarding federal data quality and biases in index numbers produced by federal government agencies, as well as potential proposals for governmental reform in the areas of data production.
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Bibliographic InfoPaper provided by University of Kansas, Department of Economics in its series WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS with number 201212.
Length: 7 pages
Date of creation: Sep 2012
Date of revision: Sep 2012
Other versions of this item:
- Barnett, William A., 1997. "Fellow's opinion: Econometrics, data, and the world wide web," Journal of Econometrics, Elsevier, vol. 77(2), pages 297-302, April.
- William A. Barnett, 1996. "Fellow's Opinion: Econometrics, Data, and the World Wide Web," Econometrics 9602001, EconWPA.
- E4 - Macroeconomics and Monetary Economics - - Money and Interest Rates
This paper has been announced in the following NEP Reports:
- NEP-ALL-2012-09-09 (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.:
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"A Single-Blind Controlled Competition among Tests for Nonlinearity and Chaos,"
9602005, EconWPA, revised 20 Sep 1996.
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- William Barnett & A. Ronald Gallant & Melvin J. Hinich & Jochen A. Jungeilges & Daniel T. Kaplan & Mark J. Jensen, 2012. "A Single-Blind Controlled Competition Among Tests For Nonlinearity And Chaos," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 201219, University of Kansas, Department of Economics, revised Sep 2012.
- Barnett, William A., 1980. "Economic monetary aggregates an application of index number and aggregation theory," Journal of Econometrics, Elsevier, vol. 14(1), pages 11-48, September.
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Royal Economic Society, vol. 107(443), pages 1171-85, July.
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