Continuing with the ongoing blog series on causal inference with big data (part 1 & part 2 here), we pick where we last left off. As a brief refresher, recall example 3. I explained the use of difference in differences (DD) methods is being applied to estimate the effect of management response to online reviews on … Continue reading Causal inference with big data – Part 3
Continuing with part 2 of the causal inference blog (read part 1 here), I want to examine 2 more examples of causal inference in the substantive sphere of online reviews. The first example is on research demonstrating managers’ manipulation of online reviews. The second example is on research demonstrating the externalities of public management response … Continue reading Causal inference with big data – Part 2
Big data is all the rage right now. Everything that wasn’t called big data before the catchphrase became a catchphrase is now big data. While size of a database is certainly part of what makes data “big,” that in itself isn’t doesn’t make large data the phenomenon that the collective consciousness has coined “big data.” I think … Continue reading Causal inference with big data – Part 1
My paper with Alex Chaudhry on management response to online reviews draws heavily upon crawled data from TripAdvisor. We began collecting data looking at Las Vegas hotels, a good starting source for sampling travelers from around the world. Everyone’s been to Vegas, and Vegas guests have been literally everywhere: We created the above plot by plotting … Continue reading Some empirical tidbits from TripAdvisor
