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Mark J. Chin

Mark J. Chin, Lena Shi.

In the U.S., state politicians directly influence legislation and budget decisions that can substantially affect public education spending and students. Does the political party of elected officials matter for these outcomes? We use a regression discontinuity design to analyze close house and gubernatorial elections from 1982 to 2016 and find that the impact of Democratic control of state government depends on whether elections occur during a presidential election year. On average, Democratic states spend less per capita on K-12 education. This trend, however, reverses when Democrats secure marginal control during off-cycle elections. Outside of presidential election years, we find increased state expenditures on both K-12 education and higher education. These increases coincided with smaller K-12 class sizes, relatively higher high school diploma rates, and expanded college enrollment. Our results highlight the importance of considering how federal political contexts influence the effects of state-level politics on education finance and outcomes.

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Mark J. Chin.

In this paper I study how school desegregation by race following Brown v. Board of Education affected White individuals’ racial attitudes and politics in adulthood. I use geocoded nationwide data from the General Social Survey and differences-in-differences to identify causal impacts. Integration significantly reduced White individuals’ political conservatism as adults in the U.S. South but not elsewhere. I observe similar geographic impact heterogeneity for individuals’ attitudes towards Blacks and policies promoting racial equity, but positive effects emerge less consistently across specifications. Results suggest that this heterogeneity may depend on the effectiveness of integration policies. In the south, Black-White exposure was greater following desegregation, and White disenrollment was lower. My study provides the first causal evidence on how different theories concerning intergroup contact and racial attitudes (i.e., the contact and racial threat hypotheses) may have applied to school contexts following historic court mandates to desegregate.

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Mark J. Chin.

In this paper I study the impact of court-mandated school desegregation by race on student suspensions and special education classification. Simple descriptive statistics using student enrollment and outcome data collected from the largest school districts across the country in the 1970s and 1980s show that Black-White school integration was increasing for districts under court order, but not for a set of comparison districts. Similarly, Black student suspension rates were increasing at faster rates in integrating districts relative to comparison districts, and their classification rates as having an intellectual disability were decreasing at slower rates. Differences-in-differences and event study models confirm these patterns I observe in the raw data: after integration, school districts experienced statistically and practically significant reductions in racial isolation across schools and growth in racial disparities in discipline and special education classification. The impacts of integration are immediate, sustained, and robust for student suspensions in particular. My results thus provide causal evidence confirming prior descriptive and theoretical work suggesting that the racial composition of schools may influence measures of categorical inequality by race.

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Mark J. Chin, David M. Quinn, Tasminda K. Dhaliwal, Virginia S. Lovison.

Theory suggests that teachers’ implicit racial attitudes affect their students, but we lack large-scale evidence on US teachers’ implicit biases and their correlates. Using nationwide data from Project Implicit, we find that teachers’ implicit White/Black biases (as measured by the implicit association test) vary by teacher gender and race. Teachers’ adjusted bias levels are lower in counties with larger shares of Black students. In the aggregate, counties in which teachers hold higher levels of implicit and explicit racial bias have larger adjusted White/Black test score inequalities and White/Black suspension disparities.

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