I’m continuing to look at some interesting passages from the 2000 article by Bianchi and her colleagues.
They have this observation about measuring the domestic labor gap:
It is customary in the research literature on gender differences in housework within households to focus on a ratio variable, either the ratio of husbands’ to wives’ housework hours or, more commonly, the percentage of total hours contributed by husbands. The problem with ratio dependent variables, particularly in regression analysis, is that it can be very difficult to sort out what a change in the dependent variable actually means, because the independent variable may be affecting the numerator of the ratio, the denominator, or both simultaneously. Husband’s share of housework can increase either because he does more or because his wife does less. We choose the difference measure for this analysis in order to present clear picture of how the independent variables affect not only the husband-wife gap in housework but also the components of that gap, the husband’s hours and the wife’s hours of housework.
Let me break that down for people who aren’t familiar with the statistics terminology. Continue reading