Danish love of gathering big data and the gender wage gap
“Mothers in Denmark Are Less Productive at Work, Study Finds, Partially Explaining Gender-Wage Gap” (WSJ) looks at an analysis of a comprehensive data set on Danish workers:
Young mothers are less productive at work than their male counterparts and women without children, according to a new study of Danish workers, a finding with important implications for gender-pay gaps.
Productivity is measured as output per hours worked, using Danish government records that tie workers’ demographics to output data from individual firms.
For example, mothers between 30 and 32 years old were about 87% as productive as similar childless men … Women without children between 30 and 32 years old were 101% as productive as similar men
An interesting article and study (“Motherhood and the Gender Productivity Gap”) for those passionate about big data sets and those passionate about gender issues (which I hope all of us are!).
[Related analysis made possible by the Danish passion for data… See the discussion of “Parental Responses to Child Support Obligations: Causal Evidence from Administrative Data” (Rossin-Slater and Wust 2014) within “Litigation, Alimony, and Child Support in the U.S. Economy”.
Using a comprehensive data set for all Danish adults, the authors found that for every 1,000DKK ($141 at 2017 exchange rates) additional that a father is supposed to pay under the Danish [child support] formula, the following behavioral changes are observed:
- a 2.1 percent reduction in the likelihood that the father and child will ever live together
- a 3.2 percent increase in the likelihood that the mother will have an additional child with a different man, either while married or not
- a 3.7 percent increase in the likelihood that the father will have a subsequent child with a different woman (“higher obligations may lead to less time spent with existing children, freeing up time available to invest in future children”)
- a reduction in his labor force participation rate by 0.2 percent (with larger effects for higher earners)
- only about $70 additional actually paid, as fathers reduced their voluntary contributions]
On a casual reading, it sounds as though markets are rational. Women with children are 87 percent as productive as men without children and earn 85 percent as much. But then it seems that markets are not rational. Women without children were actually more productive than men (101 percent) and yet earned only 89 percent as much. On the third hand, perhaps this is an example of Gresham’s Law: “bad money drives out good”. It may not be possible for an employer to determine if a woman has children or is going to have children and therefore the economically sensible course of action is to pay her as though she does have children.
Readers: What do you think? In an age of fluid gender identity, can this kind of data set be of any value? If so, what can we learn from the data-driven Danes?
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