| 来源类型 | Discussion paper |
| 规范类型 | 论文 |
| 来源ID | DP16666 |
| DP16666 An Empirical Model of Quantity Discounts with Large Choice Sets | |
| Alessandro Iaria; Ao Wang | |
| 发表日期 | 2021-10-24 |
| 出版年 | 2021 |
| 语种 | 英语 |
| 摘要 | We introduce a Generalized Nested Logit model of demand for bundles that can be estimated sequentially and virtually eliminates any challenge of dimensionality related to large choice sets. We use it to investigate quantity discounts for carbonated soft drinks by simulating a counterfactual with linear pricing. The prices of quantities up to 1L decrease by -31.5% while those of larger quantities increase by +14.8%. Purchased quantities decrease by -20.4%, associated added sugar by -23.8%, and industry profit by -20.5%. Consumer surplus however reduces only moderately, suggesting that linear pricing may be effective in limiting added sugar intake. |
| 主题 | Industrial Organization |
| 关键词 | Quantity discounts Large choice sets Demand for bundles Generalized nested logit Carbonated soft drinks Purchase of multiple units |
| URL | https://cepr.org/publications/dp16666 |
| 来源智库 | Centre for Economic Policy Research (United Kingdom) |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/545605 |
| 推荐引用方式 GB/T 7714 | Alessandro Iaria,Ao Wang. DP16666 An Empirical Model of Quantity Discounts with Large Choice Sets. 2021. |
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