Does Uncertainty Matter? Consumer Behavior Under Three-Part Tariffs
Anja Lambrecht,
Katja Seim,
Bernd Skiera
London Business School, Regent's Park, London NW1 4SA, United Kingdom
Wharton School, University of Pennsylvania, 3620 Locust Walk, Philadelphia, Pennsylvania 19104
School of Business and Economics, Johann Wolfgang Goethe University Frankfurt am Main, Mertonstrasse 17, 60054 Frankfurt, Germany
al{at}anjalambrecht.com
kseim{at}wharton.upenn.edu
skiera{at}skiera.de
In communication, information, and other industries, three-part tariffs are increasingly popular. A three-part tariff is defined by an access price, an allowance, and a marginal price for any usage in excess of the allowance. Empirical nonlinear pricing studies have focused on consumer choice under two-part tariffs. We show that consumer behavior differs under three-part tariffs and assess how consumer demand uncertainty impacts tariff choice. We develop a discrete/continuous model of choice among three-part tariffs and estimate it using consumer-level data on Internet usage. Our model extends prior work in accommodating consumer switching to competitors, thereby capturing behavior in competitive industries more accurately. Our empirical work shows that demand uncertainty is a key driver of choice among three-part tariffs. Consumers' expected bill increases with the variation in their usage, steering them toward tariffs with high allowances. Consequently, demand uncertainty decreases consumer surplus and increases provider revenue. A further analysis of consumers' responsiveness to the different elements of a three-part tariff under the provider's current pricing structure reveals that prices affect a consumer's tariff choice more than her usage quantity and that the allowance plays a strong role in consumer tariff choice. Based on our results, we derive implications for pricing with three-part tariffs.
Key Words: pricing; nonlinear pricing; discrete/continuous choice model; Internet access; three-part tariffs; uncertainty; choice
History: Received: November 20, 2005;
Copyright © 2007 by INFORMS.