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2月24日经济系学术讲座 | Sequential Search with Adaptive Intensity
发布时间:2021-02-22      浏览量:

【题  目】Sequential Search with Adaptive Intensity

【时  间】2021年2月24日(星期三),14:30-16:00

【地  点】北京师范大学后主楼1610

【主讲人】李志赟 助理教授 (Durham University Business School)

 

摘要:This paper develops a tractable framework for analyzing finite sequential search problems, where a searcher chooses search intensity adaptively in each period. We fully characterize the optimal search rule and value, decomposing the inter-temporal change of optimal search intensity into a fall-back value effect and a deadline effect.  We show that the optimal search intensity (value) is submodular (supermodular) in fall-back value and time. It follows that the fall-back value effect increases when the deadline approaches, and the deadline effect decreases when a searcher's fall-back value gets higher. We further quantify the value of recall and the value of time .  Finally, we discuss the potential applications of our results in related problems in economics and management.

 

报告人简介:

李志赟, 于2012年获牛津大学经济学博士学位,现任Durham University (UK) 经济学助理教授。研究方向为应用微观经济理论、产业组织及发展经济学。已在Journal of Comparative Economics, Social Choice and Welfare,China Economic Review等期刊发表英文学术文章10余篇,并有文章在International Economic Review和Economic Journal复审中。另有2篇发表于《经济研究》的高引中文学术论文,总引用量超3000次。