Malani, Anup, Cynthia Kinnan, Gabriella Conti, Kosuke Imai, Morgen Miller, Shailender Swaminathan, Alessandra Voena, and Bartosz Woda. ``Evaluating and Pricing Health Insurance in Lower-Income Countries: A Field Experiment in India.'' American Economic Journal: Economic Policy, Forthcoming.
Universal health coverage is a widely shared goal across lower-income countries. We conducted a large-scale, 4-year trial that randomized premiums and subsidies for India’s first national, public hospital insurance program, called RSBY. We find substantial demand (∼ 60% uptake) even when consumers were charged a price equal to the premium the government paid for insurance. We also find substantial adverse selection into insurance at positive prices. Insurance enrollment increases insurance utilization, but not healthcare utilization, implying the primary benefit of insurance is financial. Many enrollees attempted to use insurance but failed, suggesting that learning is critical to the success of public insurance. We find very few significant impacts of insurance access or enrollment on health. Although there is substantial demand for insurance, we estimate that free insurance is unlikely to be welfare-improving given the high marginal cost of public funds in India. |
Zhou, Lingxiao, Kosuke Imai, Jason Lyall, and Georgia Papadogeorgou
(2026).
``Dynamic Policy Evaluation and Learning with Spatio-temporal Data.''
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Lo, Adeline, Santiago Olivella, and Kosuke Imai
(2026).
``A Statistical Model of Bipartite Networks: Application to Cosponsorship in the United States Senate.''
Political Analysis, Vol. 34, No. 3 (July 2026), pp. 451-470.
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Sengupta, Souhardya, Kosuke Imai, and Georgia Papadogeorgou
(2025).
``Low-rank Covariate Balancing Estimators under Interference.''
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Chattopadhyay, Ambarish, Kosuke Imai, and Jose R. Zubizarreta
(2024).
``Design-based inference for generalized network experiments with stochastic interventions.''
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Jiang, Zhichao, Kosuke Imai, and Anup Malani
(2023).
``Statistical Inference and Power Analysis for Direct and Spillover Effects in Two-Stage Randomized Experiments.''
Biometrics, Vol. 79, No. 3 (September), pp. 2370-2381.
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Bertsimas, Dimitris, Kosuke Imai, and Michael Lingzhi Li
(2023).
``Distributionally Robust Causal Inference with Observational Data.''
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Olivella, Santiago, Tyler Pratt, and Kosuke Imai
(2022).
``Dynamic Stochastic Blockmodel Regression for Network Data: Application to International Militarized Conflicts.''
Journal of the American Statistical Association, Vol. 117, No. 539, pp. 1068-1081.
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Imai, Kosuke, Zhichao Jiang, and Anup Malani
(2021).
``Causal Inference with Interference and Noncompliance in Two-Stage Randomized Experiments.''
Journal of the American Statistical Association, Vol. 116, No. 534, pp. 632-644.
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Imai, Kosuke, and Zhichao Jiang
(2020).
``Identification and Sensitivity Analysis of Contagion Effects in Randomized Placebo-Controlled Trials.''
Journal of the Royal Statistical Society, Series A (Statistics in Society), Vol. 183, No. 4 (October), pp. 1637-1657.
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Kim, In Song, Steven Liao, and Kosuke Imai
(2020).
``Measuring Trade Profile with Granular Product-level Trade Data.''
American Journal of Political Science, Vol. 64, No. 1 (January), pp. 102-117.
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