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  1. Misclassification errors and the underestimation of US unemployment rates
    Autor*in: Feng, Shuaizhang; Hu, Yingyao
    Erschienen: 2010
    Verlag:  Johns Hopkins Univ., Dep. of Economics, Baltimore, Md.

    Using recent results in the measurement error literature, we show that the official U.S. unemployment rates substantially underestimate the true levels of unemployment, due to misclassification errors in labor force status in Current Population... mehr

    Standort:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signatur:
    DS 143 (561)
    Fernleihe:
    keine Fernleihe

     

    Using recent results in the measurement error literature, we show that the official U.S. unemployment rates substantially underestimate the true levels of unemployment, due to misclassification errors in labor force status in Current Population Surveys. Our closed-form identification of the misclassification probabilities relies on the key assumptions that the misreporting behaviors only depend on the true values and that the true labor force status dynamics satisfy a Markov-type property. During the period of 1996 to 2009, the corrected monthly unemployment rates are 1 to 4.6 percentage points (25% to 45%) higher than the official rates, and are more sensitive to changes in business cycles. Labor force participation rates, however, are not affected by this correction. We also provide results for various subgroups of the U.S. population defined by gender, race and age. -- Unemployment rate ; labor force participation rate ; misclassification ; measurement error ; current population survey

     
    Export in Literaturverwaltung   RIS-Format
      BibTeX-Format
    Hinweise zum Inhalt
    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Weitere Identifier:
    hdl: 10419/49879
    Schriftenreihe: Working papers / the Johns Hopkins University, Department of Economics ; 561
    Schlagworte: Arbeitslosigkeit; Arbeitsmarktstatistik; Statistischer Fehler; Erwerbstätigkeit; Bevölkerungsstatistik; USA
    Umfang: Online-Ressource (38 S.), graph. Darst.
  2. Misclassification errors and the underestimation of US unemployment rates
    Autor*in: Feng, Shuaizhang; Hu, Yingyao
    Erschienen: 2010
    Verlag:  IZA, Bonn

    Using recent results in the measurement error literature, we show that the official U.S. unemployment rates substantially underestimate the true levels of unemployment, due to misclassification errors in labor force status in Current Population... mehr

    Standort:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signatur:
    DS 4 (5057)
    Fernleihe:
    keine Fernleihe

     

    Using recent results in the measurement error literature, we show that the official U.S. unemployment rates substantially underestimate the true levels of unemployment, due to misclassification errors in labor force status in Current Population Surveys. Our closed-form identification of the misclassification probabilities relies on the key assumptions that the misreporting behaviors only depend on the true values and that the true labor force status dynamics satisfy a Markov-type property. During the period of 1996 to 2009, the corrected monthly unemployment rates are 1 to 4.6 percentage points (25% to 45%) higher than the official rates, and are more sensitive to changes in business cycles. Labor force participation rates, however, are not affected by this correction. We also provide results for various subgroups of the U.S. population defined by gender, race and age. -- unemployment rate ; labor force participation rate ; misclassification ; measurement error ; Current Population Survey

     
    Export in Literaturverwaltung   RIS-Format
      BibTeX-Format
    Hinweise zum Inhalt
    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Online
    Weitere Identifier:
    hdl: 10419/44153
    Schriftenreihe: Discussion paper series / Forschungsinstitut zur Zukunft der Arbeit ; 5057
    Schlagworte: Arbeitslosigkeit; Arbeitsmarktstatistik; Statistischer Fehler; Erwerbstätigkeit; Bevölkerungsstatistik; USA
    Umfang: Online-Ressource (PDF-Datei: 38 S., 811,62 KB), graph. Darst.
  3. Long run trends in unemployment and labor force participation in China
    Autor*in: Feng, Shuaizhang; Hu, Yingyao; Moffitt, Robert A.
    Erschienen: 2015

    Standort:
    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    Signatur:
    W 1 (21460)
    Fernleihe:
    uneingeschränkte Fernleihe, Kopie und Ausleihe
    Export in Literaturverwaltung   RIS-Format
      BibTeX-Format
    Quelle: Verbundkataloge
    Sprache: Englisch
    Medientyp: Buch (Monographie)
    Format: Druck
    Schriftenreihe: NBER working paper series ; 21460
    Schlagworte: Arbeitslosigkeit; Erwerbstätigkeit; Arbeitsmarktstatistik; China
    Umfang: 44 S., graph. Darst.
    Bemerkung(en):

    Parallel als Online-Ausg. erschienen