More Evidence on Cash 4 Class

A recent randomised evaluation from Wisconsin has potential application to the debate over Australian proposals to link school attendance to income support.

Conditional Cash Penalties in Education: Evidence from the Learnfare Experiment (stable link, ungated link)
by Thomas Dee

Wisconsin’s influential Learnfare initiative is a conditional cash penalty program that sanctions a family’s welfare grant when covered teens fail to meet school attendance targets. In the presence of reference-dependent preferences, Learnfare provides uniquely powerful financial incentives for student performance. However, a 10-county random-assignment evaluation suggested that Learnfare had no sustained effects on school enrollment and attendance. This study evaluates the data from this randomized field experiment. In Milwaukee County, the Learnfare procedures were poorly implemented and the random-assignment process failed to produce balanced baseline traits. However, in the nine remaining counties, Learnfare increased school enrollment by 3.7 percent (effect size = 0.08) and attendance by 4.5 percent (effect size = 0.10). The hypothesis of a common treatment effect sustained throughout the six-semester study period could not be rejected. These effects were larger among subgroups at risk for dropping out of school (e.g., baseline dropouts, those over age for grade). For example, these heterogeneous treatment effects imply that Learnfare closed the enrollment gap between baseline dropouts and school attendees by 41 percent. These results suggest that well-designed financial incentives can be an effective mechanism for improving the school persistence of at-risk students at scale.

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2 Responses to More Evidence on Cash 4 Class

  1. Kevin Cox says:

    Have a listen to Michael Sander on “Big Ideas” where he points out the downside of this approach.

    This is the first of four lectures

  2. Thinking in old ways says:

    There is a good interview with Katz on the moving to opportunity program evaluation on vox .

    His comments are also interesting with regard to the timescales that are needed to properly evaluate the outcomes of these types of experiments.

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