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Farm Women, Work, and Fertility

Quarterly Journal of Economics 1986 101(3), 653
Journal Article Farm Women, Work, and Fertility Get access William Sander William Sander University of Illinois at Urbana-Champaign Search for other works by this author on: Oxford Academic Google Scholar The Quarterly Journal of Economics, Volume 101, Issue 3, August 1986, Pages 653–657, https://doi.org/10.2307/1885705 Published: 01 August 1986

Schooling and Quitting Smoking

The Review of Economics and Statistics 1995 77(1), 191
The effect of schooling on the odds that smokers quit smoking is estimated. Particular attention is given to the possible importance of unobservables in measuring the schooling effect. It is shown that schooling has a relatively substantial positive effect on the odds that men and women ages twenty-five and older quit smoking.

Women, Work, and Divorce

American Economic Review 1985
In this paper [the author presents] evidence that adds support to the economic approach to divorce [and shows] that the divorce rate is significantly and substantially affected by the earning ability of women in market work. Data [are] drawn from the U.S. farm sector. After a brief overview of the economic theory of divorce and its relevance to the farm sector data sources and regression specifications [are] discussed. (EXCERPT)

Teachers and Student Achievement in the Chicago Public High Schools

Journal of Labor Economics 2007 25(1), 95-135
We estimate the importance of teachers in Chicago public high schools using matched student-teacher administrative data. A one standard deviation, one semester improvement in math teacher quality raises student math scores by 0.13 grade equivalents or, over 1 year, roughly one-fifth of average yearly gains. Estimates are relatively stable over time, reasonably impervious to a variety of conditioning variables, and do not appear to be driven by classroom sorting or selective score reporting. Also, teacher quality is particularly important for lower-ability students. Finally, traditional human capital measures—including those determining compensation—explain little of the variation in estimated quality.