| 来源类型 | Discussion paper |
| 规范类型 | 论文 |
| 来源ID | DP17532 |
| DP17532 The Hitchhiker’s Guide to Markup Estimation | |
| Basile Grassi; Maarten De Ridder | |
| 发表日期 | 2022-08-26 |
| 出版年 | 2022 |
| 语种 | 英语 |
| 摘要 | Is it feasible to estimate firm-level markups with commonly available datasets? Common methods to measure markups hinge on a production function estimation, but most datasets do not contain data on the quantity that firms produce. We use a tractable analytical framework, simulation from a quantitative model, and firm-level administrative production and pricing data to study the biases in markup estimates that may arise as a result. While the level of markup estimates from revenue data is biased, these estimates do correlate highly with true markups. They also display similar correlations with variables such as profitability and market share in our data. Finally, we show that imposing a Cobb-Douglas production function or simplifying the production function estimation may reduce the informativeness of markup estimates. |
| 主题 | Industrial Organization ; International Trade and Regional Economics ; Macroeconomics and Growth ; Monetary Economics and Fluctuations |
| 关键词 | Macroeconomics Competition Markups Production functions |
| URL | https://cepr.org/publications/dp17532 |
| 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/546617 |
| 推荐引用方式 GB/T 7714 | Basile Grassi,Maarten De Ridder. DP17532 The Hitchhiker’s Guide to Markup Estimation. 2022. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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