| 来源类型 | Working Paper |
| 规范类型 | 报告 |
| DOI | 10.3386/w25947 |
| 来源ID | Working Paper 25947 |
| Demand and Welfare Analysis in Discrete Choice Models with Social Interactions | |
| Debopam Bhattacharya; Pascaline Dupas; Shin Kanaya | |
| 发表日期 | 2019-06-17 |
| 出版年 | 2019 |
| 语种 | 英语 |
| 摘要 | Many real-life settings of individual choice involve social interactions, causing targeted policies to have spillover effects. This paper develops novel empirical tools for analyzing demand and welfare effects of policy interventions in binary choice settings with social interactions. Examples include subsidies for health product adoption and vouchers for attending a high-achieving school. We show that even with fully parametric specifications and unique equilibrium, choice data, that are sufficient for counterfactual demand prediction under interactions, are insufficient for welfare calculations. This is because distinct underlying mechanisms producing the same interaction coefficient can imply different welfare effects and deadweight-loss from a policy intervention. Standard index restrictions imply distribution-free bounds on welfare. We propose ways to identify and consistently estimate the structural parameters and welfare bounds allowing for unobserved group effects that are potentially correlated with observables and are possibly unbounded. We illustrate our results using experimental data on mosquito-net adoption in rural Kenya. |
| 主题 | Econometrics ; Estimation Methods ; Public Economics ; Taxation ; Health, Education, and Welfare ; Poverty and Wellbeing |
| URL | https://www.nber.org/papers/w25947 |
| 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/583621 |
| 推荐引用方式 GB/T 7714 | Debopam Bhattacharya,Pascaline Dupas,Shin Kanaya. Demand and Welfare Analysis in Discrete Choice Models with Social Interactions. 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 | ||
| w25947.pdf（631KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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