Dept. of Economics
University of Texas at Austin
NBER Working Papers and Publications
|May 2007||The Time and Timing Costs of Market Work|
with Daniel S. Hamermesh: w13127
With the American Time Use Survey of 2003 and 2004 we first examine whether additional market work has neutral impacts on the mix of non-market activities. The estimates indicate that fixed time costs of market work alter patterns of non-market activities, reducing leisure time and mostly increasing time devoted to household production. Similar results are found using time-diary data for Australia, Germany and the Netherlands. Direct estimates of the utility derived from goods consumption and two types of non-market time in the presence of these fixed costs indicate that they generate a utility-equivalent of as much as 8 percent of income that must be overcome before market work becomes an optimizing choice. Market work also alters the timing of a fixed amount of non-market activities dur...
Published: "A Structural Model of the Fixed Time Costs of Market Work" Donald, Stephen G.; Hamermesh, Daniel S.; Economics Letters, September 2009, v. 104, iss. 3, pp. 125-28
|October 2004||The Effect of College Curriculum on Earnings: Accounting for Non-Ignorable Non-Response Bias|
with Daniel S. Hamermesh: w10809
We link information on the current earnings of college graduates from many cohorts to their high-school records, their detailed college records and their demographics to infer the impact of college major on earnings. We develop an estimator to handle the potential for non-response bias and identify non-response using an affinity measure -- the potential respondent's link to the organization conducting the survey. This technique is generally applicable for adjusting for unit non-response. In the model describing earnings, estimated using the identified (for non-response bias) selectivity adjustments, adjusted earnings differentials across college majors are less than half as large as unadjusted differentials and ten percent smaller than those that do not account for selective non-response.
Published: Journal of Econometrics, 2008, 144, 479-491.
|August 2004||What is Discrimination? Gender in the American Economic Association|
with Daniel S. Hamermesh: w10684
Measuring market discrimination is extremely difficult except in the increasingly rare case where physical output measures allow direct measurement of productivity. We illustrate this point with evidence on elections to offices of the American Economic Association. Using a new technique to infer the determinants of the chances of observing a particular outcome when there are K choices out of N possibilities, we find that female candidates have a much better than random chance of victory. This advantage can be interpreted either as reverse discrimination or as reflecting voters' beliefs that women are more productive than observationally identical men in this activity. If the former this finding could be explained by the behavior of an unchanging median voter whose gender preferences were n...
Published: "What Is Discrimination? Gender in the American Economic Association, 1935-2004" Donald, Stephen G.; Hamermesh, Daniel S.; American Economic Review, September 2006, v. 96, iss. 4, pp. 1283-92