Imputation rules to improve the education variable in the IAB employment subsample
"The education variable in the IAB employment subsample has two shortcomings: missing values and inconsistencies with the reporting rule. We propose several deductive imputation procedures to improve the variable. They mainly use the multiple education information available in the data because the employees' education is reported at least once a year. We compare the improved data from the different procedures and the original data in typical applications in labor economics: educational composition of employment, wage inequality, and wage regression. We find, that correcting the education variable: (i) shows the educational attainment of the male labor force to be higher than measured with the, original data, (ii) gives different values for some measures of wage inequality, and (iii) does not change the estimates in wage regressions much." (Author's abstract, IAB-Doku) ((en))
|Date of creation:||23 Sep 2005|
|Date of revision:|
|Publication status:||published in: Schmollers Jahrbuch. Zeitschrift für Wirtschafts- und Sozialwissenschaften, Jg. 126, H. 3 (2006), p. 405-436|
|Contact details of provider:|| Postal: Regensburger Str. 104, D-90327 Nürnberg|
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