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10月10日,谭用(范德堡大学)
发布时间:2017-10-09   发布人:zs   点击数:319

报告人:谭用,范德堡大学

时间:10月10日,周二下午1:30—3:00

地点:博学楼1222教室

题目: Import Learning from Neighbors

摘要: This paper studies how learning from neighboring firms affects the behaviors of new importers. We first develop a learning model in which firms update their beliefs about the import price in foreign markets based on several factors, including import prices and number of neighboring firms that import from the same country. The updating proceeds according to the Bayesian rule. The model predicts that a positive signal about import prices revealed by neighboring importers encourages entry and increases initial imports from the same country. The signal plays a stronger role when it is revealed by more neighbors. Using a transaction-level dataset of Chinese importers over the 2000-2006 period, we find supporting evidence for the model’s predictions. Our results are robust to controlling for various fixed effects and different subsamples.

报告人简介:谭用,范德堡大学经济系研究员。他在范德堡大学获得经济学博士学位,新加坡管理大学获经济学硕士学位,厦门大学获数学本科学位和金融学士学位。他的研究领域包括国际贸易和应用经济学。曾在Journal of Economic Behavior and Organization,Review of International Economics, International Review of Economics and Finance等期刊上发表多篇学术论文。

 

 

 

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