Augustine Denteh, Pierre E. Nguimkeu
arXiv 16 Dec 2025 · Econometrics
arXiv:2512.14616 · PDF · DOI · OpenAlex · Extracted main text
This paper considers the estimation of binary choice models when survey responses are possibly misclassified but one of the response category can be validated. Partial validation may occur when survey questions about participation include follow-up questions on that particular response category. In this case, we show that the initial two-sided misclassification problem can be transformed into a one-sided one, based on the partially validated responses. Using the updated responses naively for estimation does not solve or mitigate the misclassification bias, and we derive the ensuing asymptotic bias under general conditions. We then show how the partially validated responses can be used to construct a model for participation and propose consistent and asymptotically normal estimators that overcome misclassification error. Monte Carlo simulations are provided to demonstrate the finite sample performance of the proposed and selected existing methods. We provide an empirical illustration on the determinants of health insurance coverage in Ghana. We discuss implications for the design of survey questionnaires that allow researchers to overcome misclassification biases without recourse to relatively costly and often imperfect validation data.
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The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.
| Reference | Intensity | Mentions | Sections | Main text | |
|---|---|---|---|---|---|
| 1 | Meyer, Bruce D and Mittag, Nikolas (2017) Misclassification in binary choice models | 1.000 | 10 | 3 | 100% |
| 2 | Hausman, Jerry A and Abrevaya, Jason and Scott-Morton, Fiona M (1998) Misclassification of the dependent variable in a discrete-response setting | 1.000 | 8 | 4 | 100% |
| 3 | Nguimkeu, Pierre and Denteh, Augustine and Tchernis, Rusty (2019) On the estimation of treatment effects with endogenous misreporting self | 1.000 | 6 | 3 | 100% |
| 4 | Poirier, Dale J (1980) Partial Observability in Bivariate Probit Models | 1.000 | 6 | 3 | 100% |
| 5 | Bollinger, Christopher R and David, Martin H (1997) Modeling discrete choice with response error: Food Stamp participation | 0.874 | 6 | 2 | 100% |
| 6 | Meng, Chun-Lo and Schmidt, Peter (1985) On the cost of partial observability in the bivariate probit model | 0.874 | 6 | 2 | 100% |
| 7 | Asare, Samuel and Gurmu, Shiferaw (2020) Health Insurance Provision and Women's Healthcare Utilization: Evidence from the National Health Insurance Scheme in Ghana | 0.737 | 3 | 2 | 100% |
| 8 | Courtemanche, Charles and Denteh, Augustine and Tchernis, Rusty (2019) Estimating the associations between SNAP and food insecurity, obesity, and food purchases with imperfect administrative measures… self | 0.737 | 3 | 2 | 100% |
| 9 | Lee, Lung-Fei (1995) Semiparametric maximum likelihood estimation of polychotomous and sequential choice models | 0.644 | 3 | 2 | 67% |
| 10 | Abrevaya, Jason and Hausman, Jerry A (1999) Semiparametric estimation with mismeasured dependent variables: an application to duration models for unemployment spells | 0.644 | 2 | 2 | 100% |
Showing the top 10 of 65 scored citations.