G2TT
来源类型Discussion paper
规范类型论文
来源IDDP17532
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
URLhttps://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.
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