LATE with Missing or Mismeasured Treatment

Rossella Calvi (), Arthur Lewbel and Denni Tommasi

No 959, Boston College Working Papers in Economics from Boston College Department of Economics

Abstract: We provide a new estimator, MR-LATE, that consistently estimates local average treatment effects when treatment is missing for some observations, not at random. If instead treatment is mismeasured for some observations, MR-LATE usually has less bias than the standard LATE estimator. We discuss potential applications where an endogenous binary treatment may be unobserved or mismeasured. We apply MR-LATE to study the impact of women’s control over household resources on health outcomes in Indian families. This application illustrates the use of MR-LATE when treatment is estimated rather than observed. In these situations, treatment mismeasurement may arise from model misspecification and estimation errors.

Keywords: LATE; missing treatment; measurement error; misclassification; collective model; resource shares; health (search for similar items in EconPapers)
JEL-codes: C31 D11 D12 D13 I32 (search for similar items in EconPapers)
Date: 2018-05-30, Revised 2021-08-15
New Economics Papers: this item is included in nep-dev, nep-ecm and nep-hea
Note: previously circulated as "Women’s Empowerment and Family Health: Estimating LATE with Mismeasured Treatment"
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Citations: View citations in EconPapers (13)

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Journal Article: LATE With Missing or Mismeasured Treatment (2022)
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