Scraped Data and Sticky Prices
By Alberto Cavallo. Review of Economics and Statistics, 2016
138 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Management Science and Operations Research, Marketing
View Paper: https://www.semanticscholar.org/paper/2a97b3a85b82e78babebe37a86429dcc7afb68d5
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
- Matthew Gentzkow
- Martín González-Rozada
- P. Neumeyer
- Fernando Alvarez
- J. Radford
- Martin Beraja
- David M. J. Lazer
- Stefano DellaVigna
In Management Science and Operations Research
- Stefano DellaVigna
- Matthew Gentzkow
- Martín González-Rozada
- P. Neumeyer
- Fernando Alvarez
- J. Radford
- Martin Beraja
- David M. J. Lazer
In Marketing
- Stefano DellaVigna
- David M. J. Lazer
- Martín González-Rozada
- P. Neumeyer
- Fernando Alvarez
- J. Radford
- Martin Beraja
- Matthew Gentzkow
Citations in the corpus
- Data ex Machina: Introduction to Big Data (2017, background): “However, Cavallo (2016) finds that the distribution of price changes is actually bimodal, with large price increases and decreases, and very few small price changes.”
- Uniform Pricing in U.S. Retail Chains* (2019, background): “Work by Gagnon and López-Salido (forthcoming), Cawley et al. (2018), and Leung (2018) provide direct evidence supporting our claim that uniform pricing dampens responses to local shocks. Our work also speaks to the literature tracing out the implications of retail firms’ price setting for macroecono”
- From Hyperinflation to Stable Prices: Argentina’s Evidence on Menu Cost Models* (2018, result): “This is consistent with previous evidence (see, for example, Nakamura and Steinsson 2008 for the United States; Gagnon 2009 for Mexico; Berardi, Gautier, and Le Bihan 2015 for France; and Cavallo 2015 for cross-country evidence).”