The construction of U.S. consumption data: some facts and their implications for empirical work.
To highlight data flaws that may affect the outcome of empirical work, a paper examined the sources and methods used to construct aggregate data on U.S. consumer spending. Two flaws are identified: sampling error and compositional error. Sampling error reflects the fact that monthly retail sales...
| Publicado en: | American Economic Review Vol. 82; pp. 922 - 942 |
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| Formato: | Artículo |
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American Economic Association
September 1992
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=512043024&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 512043024 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00028282 AER jtl: American Economic Review issn: 00028282 maglogo: N pubinfo: dt: September 1992 vid: 82 pid: 22 pub: American Economic Association artinfo: ui: 512043024 ppf: 922 ppct: 20 formats: tig: atl: The construction of U.S. consumption data: some facts and their implications for empirical work. aug: au: Wilcox, David W. su: Consumption (Economics) Retail industry United States sug: subj: United States Consumption (Economics) Retail industry ab: To highlight data flaws that may affect the outcome of empirical work, a paper examined the sources and methods used to construct aggregate data on U.S. consumer spending. Two flaws are identified: sampling error and compositional error. Sampling error reflects the fact that monthly retail sales estimates are derived from a sample rather than the complete set of stores. This measurement error is significant because retail sales are an important component of estimates on personal consumption expenditures. Compositional error occurs because monthly data on the product composition of retail sales do not exist: Information on the product composition of sales is gathered by survey only once every 5 years. Several examples illustrate the empirical effects of sampling and compositional errors in U.S. consumption data. To remedy these errors, guidelines for empirical practice are suggested. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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