The means of the dependent and independent variables in the SCELI data are provided in Appendix Table C.
Specifically, comparable to our analysis using the SCELI data set, we use a sample of male wage and salary workers drawn from 12 waves of the BHPS over the period from September 1991 to September 2002, which includes 1540 respondents who reported all the relevant information necessary to estimate the promotion and training equations.
However, both the SCELI and the BHPS data sets contain the detailed Hope-Goldthorpe job-level variable (for the current job in the case of the SCELI data set and each job in the case of the BHPS data set), which enables us to impute a separate required education value for each of the jobs held by the BHPS respondents during the panel period.
In addition to the pairing-type variables, the empirical models include largely the same variables used in the SCELI analysis, which are the standard set of controls used in wage and employment models.
In any case, the coefficients on most of the explanatory variables are significant at traditional levels and are qualitatively similar to those found using the SCELI data.
The results using the BHPS data in columns 1 and 2 of Table 5 support the findings using the SCELI data.
First, uniquely detailed data for British working-age males contained in the SCELI data set are used to estimate the hedonic pairing model that identifies the overeducated, undereducated, and exactly educated pairing type.
5) From a starting sample of 6110 observations in SCELI, 3414 women are excluded to make our analysis comparable to prior work and to abstract from issues of career interruption and labor market intermittency (e.
However, the self-justification rationale is mitigated in SCELI because the insider survey question occurs before the worker's overeducation status has been established.