| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w25827 |
| 来源ID | Working Paper 25827 |
| Nonparametric Estimates of Demand in the California Health Insurance Exchange | |
| Pietro Tebaldi; Alexander Torgovitsky; Hanbin Yang | |
| 发表日期 | 2019-05-13 |
| 出版年 | 2019 |
| 语种 | 英语 |
| 摘要 | We develop a new nonparametric approach for discrete choice and use it to analyze the demand for health insurance in the California Affordable Care Act marketplace. The model allows for endogenous prices and instrumental variables, while avoiding parametric functional form assumptions about the unobserved components of utility. We use the approach to estimate bounds on the effects of changing premiums or subsidies on coverage choices, consumer surplus, and government spending on subsidies. We find that a $10 decrease in monthly premium subsidies would cause a decline of between 1.8% and 6.7% in the proportion of subsidized adults with coverage. The reduction in total annual consumer surplus would be between $62 and $74 million, while the savings in yearly subsidy outlays would be between $207 and $602 million. We estimate the demand impacts of linking subsidies to age, finding that shifting subsidies from older to younger buyers would increase average consumer surplus, with potentially large im- pacts on enrollment. We also estimate the consumer surplus impact of removing the highly-subsidized plans in the Silver metal tier, where we find that a nonparametric model is consistent with a wide range of possibilities. We find that comparable mixed logit models tend to yield price sensitivity estimates towards the lower end of the non-parametric bounds, while producing consumer surplus impacts that can be both higher and lower than the nonparametric bounds depending on the specification of random coefficients. |
| 主题 | Econometrics ; Estimation Methods ; Health, Education, and Welfare ; Health |
| URL | https://www.nber.org/papers/w25827 |
| 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/583499 |
| 推荐引用方式 GB/T 7714 | Pietro Tebaldi,Alexander Torgovitsky,Hanbin Yang. Nonparametric Estimates of Demand in the California Health Insurance Exchange. 2019. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
| w25827.pdf（935KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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