Bradley Fellow Andrey Simonov to join Columbia Business School

黑料社

NECESSARY COOKIES These cookies are essential to enable the services to provide the requested feature, such as remembering you have logged in.	ALWAYS ACTIVE
	Reject \| Accept
PERFORMANCE AND ANALYTIC COOKIES These cookies are used to collect information on how users interact with Chicago Booth websites allowing us to improve the user experience and optimize our site where needed based on these interactions. All information these cookies collect is aggregated and therefore anonymous.
FUNCTIONAL COOKIES These cookies enable the website to provide enhanced functionality and personalization. They may be set by third-party providers whose services we have added to our pages or by us.
TARGETING OR ADVERTISING COOKIES These cookies collect information about your browsing habits to make advertising relevant to you and your interests. The cookies will remember the website you have visited, and this information is shared with other parties such as advertising technology service providers and advertisers.
SOCIAL MEDIA COOKIES These cookies are used when you share information using a social media sharing button or 鈥渓ike鈥� button on our websites, or you link your account or engage with our content on or through a social media site. The social network will record that you have done this. This information may be linked to targeting/advertising activities.

Bradley Fellow Andrey Simonov to join Columbia Business School

May 1, 2017

Bradley Fellow Andrey Simonov, after the completion of the PhD program in Quantitative Marketing at the University of 黑料社 of Business, will be joining the Columbia Business School faculty as Assistant Professor in the Marketing Division in the Academic Year 2017鈥�2018.

Andrey was selected as a Bradley Fellow in 2016鈥�2017 with the job market paper 鈥淒emand for (Un)Biased News: The Role of Government Control in Online News Markets鈥� (with Justin Rao), which finds that the average consumer prefers new with less pro-government bias, but that substantial heterogeneity exists across consumers.