First, compute a dummy variable set based on the nominal variable ‘Legal marital status’ (or use the set computed for the second exercise in chapter 5). You can use married as the reference category and thus skip making a dummy for those who are married. Secondly, if you do not already have one, compute a dummy-coded gender variable (women = 1, men = 0). Thirdly, create interaction terms by multiplying the gender dummy by all the ‘Legal marital status’ dummies. Finally, run a multiple regression analysis on the British sample, with gender, the marital status dummies and the interaction terms on the independents list and ‘Total hours normally worked per week in main job, overtime included’ as the dependent variable. Try to interpret the resulting coefficients and statistical tests. You should observe clearly significant interaction effects, with marital status having different associations with working hours among men than among women.

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