Does Health Behavior Change After Diagnosis? Evidence From Fuzzy Regression Discontinuity

Huang Xiao () and Zhaoguo Zhan
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Huang Xiao: Department of Economics, Finance, and Quantitative Analysis, Coles College of Business, Kennesaw State University, Kennesaw, GA 30144, USA

Journal of Econometric Methods, 2024, vol. 13, issue 1, 97-116

Abstract: We investigate whether receiving health information changes human behavior by using a novel approach to inference in the fuzzy regression discontinuity design. The approach is robust to the strength of identification and allows for mean squared error optimal bandwidths as well as undersmoothing. It is based on the Anderson-Rubin test in the instrumental variable literature augmented with either robust bias correction or critical value adjustment. We find that the resulting confidence sets of the treatment effect are mostly wide or even unbounded. These findings indicate that we could not rule out most magnitudes of behavior change, including zero and non-zero ones.

Keywords: health behavior; fuzzy regression discontinuity; treatment effect (search for similar items in EconPapers)
JEL-codes: C18 C21 I12 (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1515/jem-2022-0008

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