Materialwirtschaft

Witte, Hermann

doi:10.1515/9783486805383

Cited by 2 publications

(1 citation statement)

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“…, for example, modeled the probability of applying to the Milwaukee Parental Choice Program, conditional on eligibility for the program in the first place, as a function of several demographic characteristics including students' race, family income, gender, and maternal education. 2 He noted that African Americans and Hispanics are more likely to apply to such programs than their white counterparts, girls are more likely to apply than boys, and the probability of applying increases as family income falls and mother's education rises. Prior test scores as predictors of application yielded mixed results.…”

Section: Compliance In Voucher Experimentsmentioning

confidence: 99%

School Choice as a Latent Variable: Estimating the “Complier Average Causal Effect” of Vouchers in Charlotte

Cowen

2008

Policy Studies Journal

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Randomized field trials of school voucher policy interventions face major statistical hurdles in the measurement of a voucher effect on student achievement. Selection bias undermines the benefits of randomization when the treatment, a random offer of a voucher, is declined by participants who systematically differ from those who accept. This article argues that the complier average causal effect (CACE) is the parameter of interest in voucher evaluations. As an example, the CACE is estimated using data from a small, one‐year field trial of vouchers in Charlotte, NC. In this estimation, voucher impacts in Charlotte are positive, but appear to be moderated by the probability of compliance. For math achievement, maximum likelihood CACE estimates are smaller and insignificant compared to intention to treat and instrumental variable estimates of mean treatment effects.

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Section: Compliance In Voucher Experimentsmentioning

confidence: 99%