misc.

Because there are many interesting things to learn and many interesting people to work with.

Revisiting the Gap between Stylized and Diary Estimates of Market Work Time

Previous studies find that workers of longer work weeks report more market hours in stylized measure than in time diary, while those of shorter work weeks report fewer hours. Using data from the American Time Use Survey (ATUS) 2003-2007, this paper attempts to explain this dilemma. I argue that market work time is composed of activity time, committed time, and constrained time. Thus, part of the difference found between the two estimates is due to the calculation of the diary estimate. I also argue that the wording of the stylized question is consequential. Some stylized questions (e.g., How many hours per week do you usually work?) might capture the mode, instead of the mean, of work time. Thus, when the distribution of work time is skewed, the mismatch between the two estimates is expected. A sequence-based identification for diary estimate and a nonparametric adjustment for stylized estimate are proposed and empirically examined. The result indicates that both methods significantly reduce the observed gap between the two estimates. I discuss the implications for future time use survey design in the concluding section.

Concealed Handgun License: Trends and Patterns

(with Harel Shapria and Katie Jensen)

Recent waves of legislation have made it much easier for gun owners to obtain a Concealed Handgun License (CHL) and thereby carry their guns in public except when explicitly prohibited. Because data are difficult to access, our understanding of who seeks and obtains such licenses remains limited. Utilizing data obtained through Freedom of Information Act requests, this paper fills this empirical gap by describing demographic trends and characteristics of applicants for CHLs in five states: Florida, Indiana, Massachusetts, Texas, and Utah. The results establish that (1) applications for CHLs are growing at fast rates; (2) there are significant gender and racial disparities in terms of who applies for CHLs, with men 2.9 to 5.5 times more likely to apply than women and whites 1.3 to 2.0 times more likely to apply than blacks; (3) in Florida and Utah, these demographic gaps have widened over time; and (4) there are significant racial disparities in terms of application outcomes, with black applicants being 3.3 to 5.5 times more likely to be denied a license than white applicants. Moreover, we do not find the patterns in Massachusetts, a may-issue state, to be significantly different from the shall-issue states in our sample.