Measurement error and poverty rates of widows.
Estimates of the poverty rate and of the probability of entering or exiting poverty are biased when income is observed with error. I estimate a variance components model of income which contains a white noise error term and then treat this component as an approximation of the error in observed inco...
| Publicado en: | Journal of Human Resources Vol. 30; pp. 113 - 135 |
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| Formato: | Artículo |
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University of Wisconsin Press
Winter95
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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=508545119&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 508545119 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 0022166X JHR jtl: Journal of Human Resources issn: 0022166X maglogo: N pubinfo: dt: Winter95 vid: 30 pid: 249 pub: University of Wisconsin Press artinfo: ui: 508545119 10.2307/146193 ppf: 113 ppct: 22 formats: fmt: – @attributes: type: T – @attributes: type: P size: 1.1MB tig: atl: Measurement error and poverty rates of widows. aug: au: McGarry, Kathleen su: Error analysis in mathematics Widows Older women Economic conditions of women Poverty Mathematical models sug: subj: Error analysis in mathematics Widows Older women Economic conditions of women Poverty Mathematical models ab: Estimates of the poverty rate and of the probability of entering or exiting poverty are biased when income is observed with error. I estimate a variance components model of income which contains a white noise error term and then treat this component as an approximation of the error in observed income. By comparing poverty rates calculated with and without this estimated measurement error, I conclude that observation error causes the poverty rate to be overestimated around two percentage points on average. However, eliminating observation error substantially reduces the probability of transiting either into or out of poverty. These reductions imply that the amount of permanent poverty is underestimated when measurement error is ignored. Reprinted by permission of the publisher. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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