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In this paper, we consider several features of teacher-retention policies based on valueadded measures of effectiveness under a variety of empirically grounded rules and parameters. We consider the effects of policy design by varying the standard above which satisfactory teachers are expected to perform. We simulate recently adopted policies that remove teachers based on consecutive unsatisfactory performance and compare these to policies that remove teachers based on poor performance on average over a multiyear period. We also consider the precision of the performance measure and the underlying variation in teacher quality on policy effects. Finally, the simulation makes a step forward by incorporating recent empirical findings of a relationship between teacher quality and natural attrition from the profession. Our results indicate that deselection policies based on value-added measures have the potential to improve teacher quality, although understanding the role of policy design, self-selected exits, and the underlying variation in teacher quality is essential for determining policy effects. C � 2013 by the Association for Public Policy Analysis and Management.

In this article we examine educational attainment levels for students in Milwaukee's citywide voucher program and a comparable group of public school students. Using unique data collected as part of a state-mandated evaluation of the program, we consider high school graduation and enrollment in postsecondary institutions for students initially exposed to voucher schools and those in public schools at the same time. We show that exposure to voucher schools was related to graduation and, in particular, to enrollment and persistence in a 4-year college. These differences are apparent despite controls for student neighborhoods, demographics, early-career test scores and—for a subsample of survey respondents—controls for parental education, income, religious behavior, and marital status. We conclude by stressing the implications for future scholarship and policy, including the importance of attainment outcomes in educational research.

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.