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...

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Publicado en:Journal of Human Resources Vol. 30; pp. 113 - 135
Autor principal: McGarry, Kathleen
Formato: Artículo
Publicado: University of Wisconsin Press Winter95
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        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
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