Measurement error in US regional economic data.
Estimates of publicly suppressed and unrevised regional economic data produce error and potentially bias statistical inference. This article estimates measurement error in suppressed cell estimated data sets (SCEDs) relative to unsuppressed federal administrative data. In a cross section, coefficien...
| Publicado en: | Journal of Regional Science Vol. 62; no. 1; pp. 57 - 81 |
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| Autores principales: | , , |
| Formato: | Artículo |
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Wiley-Blackwell
Jan2022
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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=154962372&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 154962372 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00224146 RSC jtl: Journal of Regional Science issn: 00224146 maglogo: Y pubinfo: dt: Jan2022 vid: 62 iid: 1 pid: 480 pub: Wiley-Blackwell artinfo: ui: 154962372 10.1111/jors.12551 ppf: 57 ppct: 24 formats: tig: atl: Measurement error in US regional economic data. aug: au: Carpenter, Craig Wesley Van Sandt, Anders Loveridge, Scott affil: Department of Agricultural Economics, Texas A&M University, College Station Texas,, USA Community, Food, and Environment Institute, Michigan State University, East Lansing Michigan,, USA Department of Agricultural and Applied Economics, University of Wyoming, Laramie Wyoming,, USA Department of Agricultural, Food, and Resource Economics, Michigan State University, East Lansing MI,, USA su: Economic statistics Inferential statistics Statistical bias Panel analysis Measurement errors sug: subj: Economic statistics Inferential statistics Statistical bias Panel analysis Measurement errors keyword: attenuation bias cell suppression industrial data validation attenuation bias cell suppression industrial data validation ab: Estimates of publicly suppressed and unrevised regional economic data produce error and potentially bias statistical inference. This article estimates measurement error in suppressed cell estimated data sets (SCEDs) relative to unsuppressed federal administrative data. In a cross section, coefficient estimates based on relatively aggregated SCEDs are attenuated by about 31%, increasing to 50% in panel data. Coefficient estimates based on less‐aggregated SCEDs are not generally reliable. A review of the limited options for identification emphasizes both the systemic limitations suppression places on research inference and the value of retrospective revisions in confidential data, highlighting the importance of confidential data access and use. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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