Attenuation Bias in Measuring the Wage Impact of Immigration.

Although economic theory predicts an inverse relation between relative wages and immigration-induced supply shifts, it has been difficult to document such effects. The weak evidence may be partly due to sampling error in a commonly used measure of the supply shift, the immigrant share of the workfor...

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Publicado en:Journal of Labor Economics Vol. 29; no. 1; pp. 69 - 113
Autores principales: Aydemir, Abdurrahman, Borjas, George J.
Formato: Artículo
Publicado: University of Chicago Press January 2011
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Acceso en línea:Ver este registro en EBSCOhost
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        atl: Attenuation Bias in Measuring the Wage Impact of Immigration.
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          Aydemir, Abdurrahman
          Borjas, George J.
      su:
        Economic impact of emigration & immigration
        Foreign workers
        Labor demand
        Mathematical models of job vacancies
        Error analysis in mathematics
        Wages
        Mathematical models
      sug:
        subj:
          Economic impact of emigration & immigration
          Foreign workers
          Labor demand
          Mathematical models of job vacancies
          Error analysis in mathematics
          Wages
          Mathematical models
      keyword: Wages -- Mathematical models
      ab: Although economic theory predicts an inverse relation between relative wages and immigration-induced supply shifts, it has been difficult to document such effects. The weak evidence may be partly due to sampling error in a commonly used measure of the supply shift, the immigrant share of the workforce. After controlling for permanent factors that determine wages in specific labor markets, little variation remains in the immigrant share. We find significant sampling error in this measure of supply shifts in Canadian and U.S. census data. Correcting for the resulting attenuation bias can substantially increase existing estimates of the wage impact of immigration. Reprinted by permission of the publisher.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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