Discussion of Burda, Hamermesh, Weill
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Transcript of Discussion of Burda, Hamermesh, Weill
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Discussion of Burda, Hamermesh, Weill
Christopher A PissaridesCentre for Economic
PerformanceLondon School of Economics
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Facts
Paper gives precise numbers to several unsurprising facts about as much work to do in the home
as there is in the market men do more work in the market and
women more in the home Americans work more than Europeans Americans work more in the evenings
and weekends, they watch more television …
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Iso-work?
Focus on “iso-work” fact On average men and women work the
same number of hours Men work more in the market Women work more at home Other within-gender inequality that
averages out
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New? Leeds (1917) – Penn sample, men
worked 55 hours p.w., women 56
Freeman-Schettkat (2005) – men and women in US and EU work about 60 hours p.w. each
Robinson-Godbey (1997) – 14 countries, men and women work 50 hours each – they claim…
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Iso-work
“… it is clear that, with the exception of Austria, Bulgaria, and Italy, gender equality in regard to total time in productive activity prevails in most Western countries.”
They credit a “remarkable invisible hand” for this balance
This paper tries to make it visible
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Important fact?
Not clear why
Would have preferred more disaggregated approach Working vs. non-working?
Parents?
Partners in a household?
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Strong inequalities in some directions: total work, USA
men womenemplo
yedNonemploy
ed
total employed
nonemploy
ed
total
1965 62 27 59 67 54 59
1985 59 32 53 60 43 53Source: Robinson and Godbey, 1997, p.108
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A digression Leeds (1917) found a lot of between-
household inequality. He explained much of the variation in home hours with the comment“…more use of the head would save much use of the hands and feet”
Here is how he explains how one family who worked only 28 hours a week did it:
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a bright young woman who is keenly interested in labor-saving methods. The hours given to cleaning are few, because her house has all hard-wood floors covered with rugs; dishes are washed only once daily (immediately after breakfast) and not wiped. The family is vegetarian, eats no pies or cakes, and rarely fries food, hence there are few greasy pots and pans to clean. There are no children, and the housewife does all the work, except for the assistance of a laundress one day bi-weekly. This young housewife feels that she has solved the housekeeping problem, but as there are no children, the family is not a “normal” one.
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Social norms
Is model convincing? Need more micro facts to
differentiate between models – e.g., can social norms explain the big differences in previous table?
Does social norms model deliver surprising results that can be tested?
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More micro tests, why not…
Run regression of total work on Gender Participation and market hours Marital status Children and other controls
Are coefficients on gender, participation, marital status 0?
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Marketization vs. Engines of Liberation? Authors dismiss too readily the
marketization hypothesis: don’t we eat a lot more in restaurants now, don’t we give out more laundry?
Hardly comment on engines of liberation view: don’t we have a lot more time-saving appliances?
Support rise of leisure without hard evidence
What does your data tell us about these?
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Europe vs. America
Social norms explanation of differences in hours of work unconvincing.
Data show gradual reversal of hours over 25 years
Multiplicity due to social norms require faster adjustment
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Annual Hours of Work, US %excess over European country
-30
-20-10
0
10
2030
40
50
perc
ent
UK
FR
GE
IT
SW
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Model of chapter 3
Social norms play no role Based on marketization Cross-country regression with
seven observations? Intuitive results: women marketize
more than men
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Fixed costs
Appealing hypothesis Regressions find that main
substitutions between market work and leisure
But plausible only for small variations in hours
Do people who work longer hours watch less TV but do as much cooking, cleaning, child care?
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Conclusions
Chance to give more micro data not taken up
Model of social norms unconvincing Re-think marketization vs. engines of
liberation Re-estimate substitutions between
uses of time with micro data and no dummies