The Billion Prices Project: Using Online Prices for Measurement and Research

By Alberto Cavallo, Roberto Rigobon. 2016

311 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Management Science and Operations Research, Marketing

View Paper: https://www.semanticscholar.org/paper/6f6704d226d1a63f5163f4f46f8299ca109857d9

How researchers see this paper

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

In Economics and Econometrics

1. J. Radford
2. David M. J. Lazer
3. Alberto Cavallo
4. Gita Gopinath
5. R. Valliant
6. Brent Neiman
7. Jenny Tang
8. Oleg Itskhoki

In Management Science and Operations Research

1. J. Radford
2. David M. J. Lazer
3. R. Valliant
4. Michael R. Elliott
5. Alberto Cavallo

In Marketing

1. David M. J. Lazer
2. J. Radford
3. Alberto Cavallo

Citations in the corpus

• Inference for Nonprobability Samples (2017, background): “Social media and other data that can be scraped from the web might be used for gauging public opinion (Murphy et al., 2015) or measuring changes in consumer prices (Cavallo and Rigobon, 2016).”
• Tariff Pass-Through at the Border and at the Store: Evidence from US Trade Policy (2019, background): “See Cavallo and Rigobon (2016) for a full description of these and closely-related data.”
• Scraped Data and Sticky Prices (2016, unknown): “1 Cecchetti (1986), Kashyap (1995), and Lach and Tsiddon (1996) provided pioneering contributions to the literature using samples of goods such as magazines and groceries.”
• Data ex Machina: Introduction to Big Data (2017, methodology): “By linking IRS data to the MTO data, Chetty et al. (2016) were able to measure the effect of the experimental treatment on children’s future earnings.”