深圳大学管理学院20周年院庆系列学术讲座(第55期)暨深圳大学管理科学前沿论坛(第55期)

来源: 发布时间:2017-12-18 09:37:26 浏览量:
讲座题目:The Digital Sin City: An Empirical Study of Craigslist’s Impact on Prostitution Trends
主讲人:Jason Chan 博士   (美国明尼苏达大学)   
时间: 2017年12月19日(周二)
地点: 文科楼管理学院1400会议室 14:30pm-16:30pm
主持人:冯元粤 博士
                                
内容简介: 
With increasing number of prostitution-related sites launched over time, it is imperative to understand the link between these sites and prostitution trends. Specifically, in this paper, we quantify the economic impact of Craigslist’s entry on prostitution incidence, and identify potential pathways in which the website affects the sex industry. Using a national panel data for 1,796 U.S. counties from 1999 to 2008, our analyses suggest that entry of Craigslist to a county leads to a 17.58 percent increase in prostitution cases. In addition, the analyses reveal that a majority of prostitution on Craigslist are induced by organized vice groups, in addition to voluntary participation by smaller set of independent providers. Further, we find site entry has a stronger impact in counties with past history of prostitution and produces spillover effects in neighboring locations that are not directly served by Craigslist. Sex workers providing niche sexual services are found to increase with site entry. We find that the increase in prostitution arrests does not catch up with the growth in prostitution trends brought in by Craigslist. Finally, we find complementarity effects between erotic and casual sex ads in leading to the increase of prostitution.
 
主讲人简介:
Dr. Jason Chan is an Assistant Professor of Information & Decision Sciences at the Carlson School of Management, University of Minnesota. He holds an interest towards research that has relevant business and policy insights on emerging phenomenon relating Internet platforms and social outcomes, in various areas including healthcare, crime, financial well-being, education, and labor discrimination. In his research, he adopts a variety of quantitative methods including econometric modeling, experiments and technical methods, to extract meaningful relationships that lies within datasets. His work has been published in top academic journals and conferences such as Information Systems Research, Management Science, MIS Quarterly, and the National Bureau of Economic Research. His work has also been covered by prominent media outlets, including The Economist, The Washington Post, The Economic Times, NBC News, Newsweek, Forbes, The Daily Beast, and Market Watch. Dr. Chan has received numerous awards from top-tier MIS journals and conferences such as the AIS Best Published Paper 2014 (selected by senior editors among top MIS journals), the MISQ Best Paper Award 2014, and the 2015 Nunamaker-Chen Dissertation Award conferred by INFORMS ISS. He also serves as a reviewer for multiple top-tier MIS journals and conferences.
 
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