Misreporting in Sensitive Health Behaviors and Its Impact on Treatment Effects: An Application to Intimate Partner Violence

A growing literature seeks to identify policies that could reduce intimate partner violence. However, in the absence of reliable administrative records, this violence is often measured using self-reported data from health surveys. In this paper, an experiment is conducted comparing data from such surveys against a methodology that provides greater privacy to the respondent. Non-classical measurement error in health surveys is identified as college-educated women, but not the less educated, underreport physical and sexual violence. The paper provides a low-cost solution to correct the bias in the estimation of causal effects under non-classical measurement error in the dependent variable.

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Bibliographic Details
Main Author: Inter-American Development Bank
Other Authors: Jorge M. Agüero
Format: Working Papers biblioteca
Language:English
Published: Inter-American Development Bank
Subjects:Health Survey, Intimate Partner Violence, Health Behavior, Sexual Violence, Non-random measurement error;List experiments;Intimate partner violence;Treatment effects,
Online Access:http://dx.doi.org/10.18235/0011808
https://publications.iadb.org/en/misreporting-sensitive-health-behaviors-and-its-impact-treatment-effects-application-intimate
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Summary:A growing literature seeks to identify policies that could reduce intimate partner violence. However, in the absence of reliable administrative records, this violence is often measured using self-reported data from health surveys. In this paper, an experiment is conducted comparing data from such surveys against a methodology that provides greater privacy to the respondent. Non-classical measurement error in health surveys is identified as college-educated women, but not the less educated, underreport physical and sexual violence. The paper provides a low-cost solution to correct the bias in the estimation of causal effects under non-classical measurement error in the dependent variable.