Are Online and Offline Prices Similar? Evidence from Large Multi-channel Retailers

By Alberto Cavallo. 2017

329 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Marketing, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/6cae64139e896d20198fd997a39e958a838bf8e9

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Management Science and Operations Research

1. Erik Brynjolfsson

In Marketing

1. Erik Brynjolfsson
2. Michael D. Smith
3. John Morgan
4. Michael R. Baye
5. Anindya Ghose

In Strategy and Management

1. Meng Liu
2. Xiang Hui
3. Erik Brynjolfsson
4. Michael D. Smith
5. John Morgan
6. Michael R. Baye
7. Anindya Ghose
8. Lorin M. Hitt

Citations in the corpus

• Does Machine Translation Affect International Trade? Evidence from a Large Digital Platform (2018, background): “Reduced matching frictions affect price dispersion, as evidenced in Brynjolfsson and Smith (2000), Brown and Goolsbee (2002), Overby and Forman (2014), Ghose and Yao (2011), and Cavallo (2017).”
• Inflation with Covid Consumption Baskets (2020, unknown): “Cavallo (2017) shows that multi-channel retailers tend to have identical prices offline and online, so the data collected for this type of retailer are not likely affected.”
• Scraped Data and Sticky Prices (2016, unknown): “3 For previous discussions of measurement error in the literature, see Campbell and Eden (2014), Cavallo and Rigobon (2011), and Eichenbaum et al. (2014).”