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. Between 2010 and 2017, Wisconsin passed three laws regulating abortion providers and two of five abortion clinics closed in Wisconsin, increasing the distance to the nearest clinic to 55 miles on average and to over 100 miles in the most affected counties. We use a difference‐in‐differences design to estimate the effect of changes in travel distance on births and abortions, using within‐county variation across time in distance to identify the effect. We find that a 100‐mile increase in distance to the nearest clinic is associated with 30.7 percent fewer abortions and 3.2 percent more births. We see no significant effect of increased congestion at remaining clinics on abortion rates. Interacting the legislative changes with distance, we find that the effects of distance on abortion are approximately 1.33 time stronger in the presence of laws requiring multiple physician visits to obtain an abortion. 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 where a greater number of clinics ceased operations.

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. We find significant racial disparities in who is most affected by abortion clinic closures, with increases in distance increasing birth rates significantly more for Black, Asian, and Hispanic women. 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 closed their doors.

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In this paper, we estimate a rich model of college major choice using a panel of experimentallyderived 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 these 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 expectations about own-earnings, risk aversion, and patience cannot explain gender gaps in major choice.