The Effects of Local Industrial Pollution on Students and Schools” with Claudia Persico. 2019. Forthcoming, Journal of Human Resources

Using detailed education data between 1996-2012 from the state of Florida, we examine whether pollution from local Toxic Release Inventory (TRI) sites affects student achievement and high stakes accountability school rankings. Using event study and difference-in-differences designs, we compare students attending schools within one mile of a TRI site that opens or closes to students attending schools between one and two miles away. We find that being exposed to air pollution is associated with 0.024 of standard deviation lower test scores, increased likelihood of suspension from school, and increased likelihood that a school’s overall high stakes accountability ranking will drop.

“The Role of Heterogeneous Risk Preferences, Discount Rates, and Earnings Expectations in College Major Choice” with Arpita Patnaik, Matthew Wiswall, and Basit Zafar. 2020. Forthcoming, Journal of Econometrics

Previous version: NBER Working Paper w26785

In this paper, we estimate a rich model of college major choice using a panel of experimentally derived data. Our estimation strategy combines two types of data: data on self-reported beliefs about future earnings from potential human capital decisions, and survey-based measures of risk and time preferences. We show how to use this data to identify a general life-cycle model, allowing for rich patterns of heterogeneous beliefs and preferences. Our data allow us to separate perceptions about the degree of risk or perceptions about the current versus future payoffs for a choice from the individual’s preference for risk and patience. Comparing our estimates of the general model to estimates of models which ignore heterogeneity in risk and time preferences,
we find that these restricted models are likely to overstate the importance of earnings to major choice. Additionally, we show that while men are less risk averse and patient than women, gender differences in non-pecuniary tastes, rather than gender differences in risk aversion and patience over earnings, are the primary driver of gender gaps in major choice.

“Undue Burden Beyond Texas: An Analysis of Abortion Clinic Closures, Births, and Abortions in Wisconsin” with Jason Fletcher. 2020. Forthcoming, Journal of Policy Analysis and Management

Previous version: NBER Working Paper w26362

In this paper, we estimate the impacts of abortion clinic closures on access to clinics in terms of distance and congestion, abortion rates, and birth rates. Legislation regulating abortion providers enacted in Wisconsin in 2011-2013 ultimately led to the closure of two of five abortion clinics in Wisconsin, increasing the average distance to the nearest clinic to 55 miles and distance to some counties to over 100 miles. We use a difference-in-differences design to estimate the effect of change in distance to the nearest clinic on birth and abortion rates, using within-county variation across time in distance to identify the effect. We find that a hundred-mile increase in distance to the nearest clinic is associated with 25 percent fewer abortions and 4 percent more births. We see no significant effect of increased congestion at remaining clinics on abortion rates. Our results suggest that even small numbers of clinic closures can result in significant restrictions to abortion access of similar magnitude to those seen in Texas when a greater number of clinics ceased operations.

Working Papers

“Dual-Earner Migration, Earnings, and Unemployment Insurance” (JMP)

Dual-earner couples’ decisions of where to live and work often result in one spouse, the trailing spouse, experiencing losses of earnings. This paper examines how married couples’ migration decisions differentially impact men and women’s earnings and the role that policy can play in improving post-move outcomes for trailing spouses. I use panel data from the NLSY97 and a generalized difference-in-differences design to show that access to UI for trailing spouses increases long-distant migration rates by 2.3 percentage points or 38\% for married couples and increases wage growth at the time of the move by about 11.3 percent for married women. I then use a structural model of dual earner couples’ migration decisions to test a series of counterfactual policies to evaluate the welfare consequences of a policy which prioritizes each spouse moving with a job such as a job relocation incentive versus the UI policy which prioritizes one spouse moving without a job and searching post-move.

“Concentrating on His Careers or Hers?: Descriptive Evidence on Occupational Agglomeration and Spousal Matching”

Using IPUMS Decennial Census Data, I explore the role that joint geographic constraints play in dual-earner household migration decisions. I use a simple theoretical model to demonstrate how anticipation of a joint-location decision predicts that the spouse with lower expected earnings should select out of locationally-concentrated occupations. I then develop a novel method of measuring spouses’ joint geographic constraints based on a pairwise occupational co-agglomeration index. I use this measure, as well as a measure of agglomeration and a measure of average returns by occupation and location, to show that joint geographic constraints associated with occupation have a stronger association with earnings for the secondary earner in the household, regardless of gender. These effects are stronger for occupations with high costs of re-skilling (e.g., occupations that require a college degree).

In Progress Projects

“The Effects of Contraceptive Access on Male Outcomes”

“Migration and the Family,” with Garrett Anstreicher

“Gender is Not Enough: The Impacts of Alumni Speakers on Interest in Economics”, with Arpita Patnaik, Gwyn Pauley, and Matthew Wiswall

“Gender Gaps in Economics Majors”, with Arpita Patnaik, Gwyn Pauley, and Matthew Wiswall

“Monopsony in the Market for Teachers”

Policy Pieces/ White Papers

Sex, Contraception or Abortion: Explaining Class Gaps in Unintended Childbearing, The Brookings Institution, February 2015

The Impact of Unintended Childbearing on Future Generations, The Brookings Institution, September  2014

Reducing Unintended Pregnancies for Low-Income Women, in Policies to Address Poverty in America, ed. Melissa Kearney and Benjamin Harris (2014): 37-44.