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This document summarizes two statistical models for addressing attrition in studies: the Heckman selection model and the tobit model. The Heckman model involves two equations, one for outcomes and one for the selection process, and assumes bivariate normal errors. The tobit model assumes outcomes are missing below a cutoff and estimates the regression by treating values below the cutoff as left-censored. Applying these models to a voucher lottery study, the tobit model estimates the voucher effect on readin
- Author
- Bom Villatuya
- Language
- EN