VISA Decision Sciences
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Institutional Affiliation: VISA Decision Sciences
NBER Working Papers and Publications
|February 2019||Assessing the Gains from E-Commerce|
with Paul Dolfen, Liran Einav, Peter J. Klenow, Benjamin Klopack, Jonathan D. Levin, Wayne Best: w25610
E-Commerce represents a rapidly growing share of consumer spending in the U.S. We use transactions-level data on credit and debit cards from Visa, Inc. between 2007 and 2017 to quantify the resulting consumer surplus. We estimate that E-Commerce spending reached 8% of consumption by 2017, yielding consumers the equivalent of a 1% permanent boost to their consumption, or over $1,000 per household. While some of the gains arose from saving travel costs of buying from local merchants, most of the gains stemmed from substituting to online merchants. Higher income cardholders gained more, as did consumers in more densely populated counties.
|June 2016||High Frequency Evidence on the Demand for Gasoline|
with Matthew S. Lewis, Frank A. Wolak: w22345
Daily city-level expenditures and prices are used to estimate the price responsiveness of gasoline demand in the U.S. Using a frequency of purchase model that explicitly acknowledges the distinction between gasoline demand and gasoline expenditures, we consistently find the price elasticity of demand to be an order of magnitude larger than estimates from recent studies using more aggregated data. We demonstrate directly that higher levels of spatial and temporal aggregation generate increasingly inelastic demand estimates, and then perform a decomposition to examine the relative importance of several different sources of bias likely to arise in more aggregated studies.
Published: Laurence Levin & Matthew S. Lewis & Frank A. Wolak, 2017. "High Frequency Evidence on the Demand for Gasoline," American Economic Journal: Economic Policy, vol 9(3), pages 314-347. citation courtesy of