Exact(2)
From the tenure variable, we constructed a dummy variable for homeownership with the reference category non-homeownership.
Table 3 shows the marginal effects for the job tenure variable which are statistically significant for both men and women in Panels 4 and 5, although the magnitudes of the effects are small.
Similar(58)
The age and tenure variables correlated highly (r = 0.843), and so age was not used as a control variable.
In this study several respondents had missing values on one or more of the social class, employment status and housing tenure variables (see Table 1).
Note 2: Omitted tenure category variable is "evaluation year".
Coefficients on the three tenure dummy variables are interpreted relative to the tenure evaluation year.
With no statistically significant coefficients on the tenure year variables, column 4 provides more evidence for the validity of the identification strategy.
Firm and individual-level controls (variables C1 C6) include age, age-squared, experience, experience-squared, tenure and dummy variables for temporary contract, public sector or NGO, firm size and field-of-study (major).
The relationship between interval independent variables (ICC and tenure) and categorical dependent variables was determined using point-biserial correlation.
These pre-treatment variables include 'exogenous' covariates (education, age, marital status, household income, immigration status, race indicator, province of residence) as well as 'endogenous' variables (tenure, firm size, job status, occupation categories) that one commonly expects to be correlated with the error term in the wage equation.
†Adjusted for cluster, age at follow-up, gender, pupil referral unit attendance, and baseline variables: tenure, dislike of school, truancy, temporary and permanent exclusions from school, having had heterosexual sex, frequency of drunkenness, ethnicity, and living in lone parent household or one where no adults were working.
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