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来源类型Working Paper
规范类型报告
DOI10.3386/w21447
来源IDWorking Paper 21447
Measuring the Measurement Error: A Method to Qualitatively Validate Survey Data
Christopher Blattman; Julian C. Jamison; Tricia Koroknay-Palicz; Katherine Rodrigues; Margaret Sheridan
发表日期2015-08-17
出版年2015
语种英语
摘要Field experiments rely heavily on self-reported data, but subjects may misreport behaviors, especially sensitive ones such as crime. If treatment influences survey responses, it biases experimental estimates. We develop a validation technique that uses intensive qualitative work to assess survey measurement error. Subjects were assigned to receive cash, therapy, both, or neither. According to survey responses, receiving both treatments dramatically reduced crime and other sensitive behaviors. Local researchers spent several days with a random subsample of subjects following their endline surveys, building trust and seeking verbal confirmation of six behaviors: theft, drug use, homelessness, gambling, and two expenditures. This validation suggests that subjects in the control and cash only groups underreported sensitive behaviors and expenditures in the survey relative to the other treatment arms. We bound survey-based treatment effects estimates, and find the impacts of cash and therapy on crime may be larger than suggested by surveys alone.
主题Econometrics ; Data Collection ; Experimental Design ; Health, Education, and Welfare ; Poverty and Wellbeing ; Other ; Law and Economics ; Development and Growth ; Development
URLhttps://www.nber.org/papers/w21447
来源智库National Bureau of Economic Research (United States)
引用统计
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/579122
推荐引用方式
GB/T 7714
Christopher Blattman,Julian C. Jamison,Tricia Koroknay-Palicz,et al. Measuring the Measurement Error: A Method to Qualitatively Validate Survey Data. 2015.
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