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Give missings a chance: Combined stochastic and rule-based approach to improve regression models with mismeasured monotonic covariates without side information

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  • Dlugosz, Stephan

Abstract

Register data are known for their large sample size and good data quality. The measurement accuracy of variables highly depends on their high importance for administrative processes. The education variable in the IAB employment sub-sample is an example for information that is gathered without a clear purpose. It therefore severely suffers from missing values and misclassifications. In this paper, a classical approach to deal with incomplete data is used in combination with rule-based plausibility checks for misclassification to improve the quality of the variable. The developed correction procedure is applied to simple Mincer-type wage regressions. The procedure reveals that the quality of years in education is very important: The German labour market rewards general education less than vocational training. Furthermore, using this method, no indication of an inflation in formal education degrees could be found. --

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Bibliographic Info

Paper provided by ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research in its series ZEW Discussion Papers with number 11-013.

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Date of creation: 2011
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Handle: RePEc:zbw:zewdip:11013

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Keywords: Measurement error; EM by the method of weights; wage regression; expansion of educational degrees; misclassification; imputation rules;

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  1. Jörn-Steffen Pischke & Till von Wachter, 2006. "Zero Returns to Compulsory Schooling in Germany: Evidence and Interpretation," CEE Discussion Papers 0054, Centre for the Economics of Education, LSE.
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  13. J. G. Ibrahim & S. R. Lipsitz & M.-H. Chen, 1999. "Missing covariates in generalized linear models when the missing data mechanism is non-ignorable," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 61(1), pages 173-190.
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  15. Per Johansson & Per Skedinger, 2009. "Misreporting in register data on disability status: evidence from the Swedish Public Employment Service," Empirical Economics, Springer, vol. 37(2), pages 411-434, October.
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