Adjusting for Measurement Error in Retrospectively Reported Work Histories: An Analysis Using Swedish Register Data
We use work histories retrospectively reported and matched to register data from the Swedish unemployment office to assess: 1) the prevalence of measurement error in reported spells of unemployment; 2) the impact of using such spells as the response variable of an exponential model; and 3) strategie...
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| Veröffentlicht in: | Journal of official statistics 2019-03, Vol.35 (1), p.203-229 |
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| creator | Pina-Sánchez, Jose Koskinen, Johan Plewis, Ian |
| description | We use work histories retrospectively reported and matched to register data from the Swedish unemployment office to assess: 1) the prevalence of measurement error in reported spells of unemployment; 2) the impact of using such spells as the response variable of an exponential model; and 3) strategies for the adjustment of the measurement error. Due to the omission or misclassification of spells in work histories we cannot carry out typical adjustments for memory failures based on multiplicative models. Instead we suggest an adjustment method based on a mixture Bayesian model capable of differentiating between misdated spells and those for which the observed and true durations are unrelated. This adjustment is applied in two manners, one assuming access to a validation subsample and another relying on a strong prior for the mixture mechanism. Both solutions demonstrate a substantial reduction in the vast biases observed in the regression coefficients of the exponential model when survey data is used. |
| doi_str_mv | 10.2478/jos-2019-0010 |
| format | Article |
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Due to the omission or misclassification of spells in work histories we cannot carry out typical adjustments for memory failures based on multiplicative models. Instead we suggest an adjustment method based on a mixture Bayesian model capable of differentiating between misdated spells and those for which the observed and true durations are unrelated. This adjustment is applied in two manners, one assuming access to a validation subsample and another relying on a strong prior for the mixture mechanism. 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| source | De Gruyter Open Access Journals; Sage Journals GOLD Open Access 2024; Sociological Abstracts; EZB-FREE-00999 freely available EZB journals |
| subjects | Adjustment Bayesian analysis Bayesian statistics Employment Error analysis Failure analysis measurement error Measurement errors Memory mixture model Regression analysis Regression coefficients retrospective data Unemployment |
| title | Adjusting for Measurement Error in Retrospectively Reported Work Histories: An Analysis Using Swedish Register Data |
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