Estimating the Production Function of Multiproduct Firms by Trade Data
何秋谷，2021年毕业于新加坡管理大学经济学院，并同年加入南开大学经济学院国经系担任助理教授，曾分别在中南大学和北京大学获得软件工程的学士和硕士学位。他的研究兴趣集中在经济学模型的开发和分析，目前的工作论文集中在经济增长、产业组织和国际贸易领域。
ABSTRACT
Complete product sales information is essential for accurately estimating product productivity. However, sales data are often incomplete. For instance, the combination of manufacturing survey and customs dataset typically provides detailed data on firm-level inputs and outputs, but only cover transactions related to exported products. To address this issue, I extend Valmari (2023) to estimate product functions for multi-product firms that face flexible-elasticity demand curves. Product markups are determined by the demand elasticity. Assuming a uniform constant return to scale (CRS) production function across all products within an industry, I obtain the firm markup by the production approach developed by De Loecker and Warzynski (2012). These estimated markups, along with the observed sales data for both the firm and its products, are used to address the unobserved input allocation bias in product productivity estimation.
主持人
王志锋
澳门新葡京app-新葡京下载
助理教授
新加坡南洋理工大学经济学博士
时间
2024年5月24日（周五）
下午4:15-5:30
地点
湖南大学财院校区-水上教学楼211
