Week 2 - Online Reputation
Required Readings
Parts of these readings and themes from them will be covered in the video lecture.
- The Dynamics of Seller Reputation: Evidence from Ebay
- Promotional reviews: An empirical investigation of online review manipulation
- Measuring and Managing the Externality of Managerial Responses to Online Customer Reviews
Video Lecture
- Slides: Online Reputation
- Videos as a playlist
Analytics Notes
We'll need some concepts from Linear Regression to work through the Lab & understand lecture content:
- Review of Basic Concepts: Chapters 3, 4, 5, 6 of these notes
- Based on the pre-course survey, many of you are already familiar with these concepts
- Omitted Variables Bias (Chapter 7.5) and Panel Data (Chapter 12) of these notes
- Getting Standard Errors Right
- Linear Regression with
R
Self Guided Lab
- Link to GitHub repository
- Questions with an answer template contained in repo
- Suggested Solutions
Quiz
- Link to Quiz on Canvas
- Due by 23.59 on 30 April 2021
Discussion Class
- Submit the topics you want to discuss in our live session on May 6 and May 7
- Fill in this survey before 23.59 on Friday April 30
Additional Readings
These readings are optional, and designed to give interested students a place to look for some further information.
- Reputation and Regulations: Evidence from eBay
- Fake It Till You Make It: Reputation, Competition, and Yelp Review Fraud
- Online Reputation Management: Estimating the Impact of Management Responses on Consumer Reviews
- Part of Group Assignment 1 is based on this paper
- Channels of Impact: User reviews when quality is dynamic and managers respond
- The Squeaky Wheel Gets the Grease—An Empirical Analysis of Customer Voice and Firm Intervention on Twitter
- This paper is quite a tough read due to the relatively complicated modelling