Determining consumers’ discount rates with field studies
title = "Determining consumers' discount rates with field studies", abstract = "Because utility/profits, state transitions, and discount rates are confounded in dynamic models, discount rates are typically fixed for the purpose of identification. The authors propose a strategy of identifying discount rates. We find that the estimated discount rate corresponds to a weekly discount factor (0.90), lower than the value typically assumed in empirical research (0.995). When using a standard 0.995 discount factor, we find the price coefficient is underestimated by 16%. Determining Consumers' Discount Rates with Field Studies Created Date: 20160808231800Z consumers, pricing, three-part tariff, discount rate Determining Consumers' Discount Rates with Field Studies Consumers often face situations in which they must choose either to engage in consumption in the present or wait to consume in the future. A rich stream of recent literature has adopted dynamic structural models to “Determining Consumers’ Discount Rates with Field Studies” • Kellogg Marketing Camp, Northwestern University, 2012 • Marketing Dynamics Conference, Tilburg University, Netherlands, 2012 • Columbia University, 2012 • National Bureau of Economic Research Summer Institute, Cambridge, MA, USA, 2011 Determining Consumers' Discount Rates with Field Studies Created Date: 20160808231800Z “Determining Consumers’ Discount Rates with Field Studies” • Kellogg Marketing Camp, Northwestern University, 2012 • Marketing Dynamics Conference, Tilburg University, Netherlands, 2012 • Columbia University, 2012 • National Bureau of Economic Research Summer Institute, Cambridge, MA, USA, 2011
6By design, reversal of preference experiments cannot identify discount rates. 32Notable exceptions are a few field studies, as e.g., Shapiro, 2005, which
6By design, reversal of preference experiments cannot identify discount rates. 32Notable exceptions are a few field studies, as e.g., Shapiro, 2005, which Prices and Interest Rates. Prices, affected by the rate of inflation, naturally impact consumer spending on goods significantly. This is one reason the producer price Consumers’ Discount Rates with Field Studies 827 ratio in period t−1isgreaterthan1),thelineisalmost linear. The concavity of the line before exceeding the quota suggests that people decelerate usage as they approach the quota; that is, they begin to ration their minutes to avoid overage. Moreover, those who are far from the quota appear that discount rates vary considerably across studies. The mean weekly discount factor is 0.979 with a standard deviation of 0.034. The corresponding weekly discount rates aver-age 2.25% with a large standard deviation of 3.76%. In short, there is no clear consensus regarding the value of discount factors, partially due to the fact that discount rates are typicallynotidentified. They find that the estimated discount rate corresponds to a weekly discount factor (.90), lower than the value typically assumed in empirical research (.995). When using a standard .995 discount factor, they find that the price coefficient is underestimated by 16%. Determining Consumers' Discount Rates with Field Studies We exemplify this strategy using a field study wherein cellphone users transitioned from a linear to three-part-tariff pricing plan.We
They find that the estimated discount rate corresponds to a weekly discount factor (.90), lower than the value typically assumed in empirical research (.995). When using a standard .995 discount factor, they find that the price coefficient is underestimated by 16%.
“Determining Consumers’ Discount Rates with Field Studies” • Kellogg Marketing Camp, Northwestern University, 2012 • Marketing Dynamics Conference, Tilburg University, Netherlands, 2012 • Columbia University, 2012 • National Bureau of Economic Research Summer Institute, Cambridge, MA, USA, 2011 The goal of this paper is to construct a model of consumer product replacement and to investigate the implications of replacement cycles for firms. Determining Consumers’ Discount Rates with Field Studies. 1 December 2012 | Journal of Marketing Research, Vol. 49, No. 6 Determining Consumers' Discount Rates with Field Studies. SSRN Online Demand Under Limited Consumer Search. Jun B. Kim, Paulo Albuquerque, Bart J. Bronnenberg; Determining Consumers’ Discount Rates with Field Studies. 1 December 2012 | Journal of Marketing Research, Vol. 49, No. 6 Determining Consumers' Discount Rates with Field Studies. SSRN Electronic Journal. Yao, Song, Carl F. Mela, Jeongwen Chiang, and Yuxin Chen (2012) “Determining Consumers' Discount Rates With Field Studies,” Journal of Marketing Research, 49(6), pp. 822-841. Winner, 2012 AMA Paul E. Green Award. Bronnenberg, Bart, Jun Kim and Carl Mela (2016), "Zooming in on Choice: How Do Consumers Search for (2012), "Determining Consumers' Discount Rates With Field Studies," Journal of Marketing Joe, Carl F. Mela, Terry Shimp, and Joel Urbany (1999), "The Effect of Discount Frequency and Depth on Consumer Price Judgments In both surveys the average discount rate is 43 percent, corresponding to a substantially higher degree of impatience than the rate implied by aggregate asset returns. The estimates also reveal a large degree of heterogeneity in the discount rates across consumers, but only little evidence for hyperbolic discounting. Consumers’ Discount Rates With Field Studies,” Journal of Marketing Research, 49,6,822-841 (authors in reverse alphabetical order). [23] Che. n, Yuxin and Joel . St. “Determining Consumers’ Discount Rates With Field Studies,” presented at . Telecommunication Special Interest Forum, Shanghai, China, May 2011.
various ways of presenting discount rates that had an impact on Many studies of consumer perception use the. Prospect and determined their influence on the consumer's perceptions (FIELD, 2009; PESTANA and GAGEIRO, 2008, the.
Do individuals' discount rates help to explain their decisions about behaviors like "Individual Laboratory-Measured Discount Rates Predict Field Behaviors" could use discount rates as phenotypes in genetic studies designed to identify the Feb 15, 2017 We develop a new empirical strategy for identifying the parameters of dynamic structural 1At a yearly interest rate of 5%, a rational consumer would discount of heterogeneity in the estimates those studies obtained, ranging between close to 0 and close to In field settings infinite amounts of data are. “Field studies” typically infer discount rates from choices observed such as buying an air actual consumer choices. However, they that further examination of subjective discount rate measures is necessary to determine their usefulness in Jul 13, 2015 We develop a new empirical strategy for identifying the parameters of dynamic 1At a yearly interest rate of 5%, a rational consumer would discount 3Interestingly, our results are consistent with the field work of Yao, Mela, Keywords: discount factor, dynamic discrete choice, generic identification, transversality Fang and Wang (2015) studied the identification an infinite- horizon, stationary dynamic Determining consumers discount rates with field studies. Experimental studies have found discount rates ranging from 1% (Thaler, 1981) to determine what field opportunities the subject is considering. decisions of interest; while consumer purchase decisions may be considered spot decisions,.
Sep 18, 2019 Previous studies estimating the consumer valuation of fuel economy use several (1986) finding that used car prices adjust only one third to one half the We show results for different discount rates, starting with a 1% rate in plete Take- Up of Social Benefits: Evidence from an IRS Field Experiment.
that discount rates vary considerably across studies. The mean weekly discount factor is 0.979 with a standard deviation of 0.034. The corresponding weekly discount rates aver-age 2.25% with a large standard deviation of 3.76%. In short, there is no clear consensus regarding the value of discount factors, partially due to the fact that discount rates are typicallynotidentified. They find that the estimated discount rate corresponds to a weekly discount factor (.90), lower than the value typically assumed in empirical research (.995). When using a standard .995 discount factor, they find that the price coefficient is underestimated by 16%. Determining Consumers' Discount Rates with Field Studies We exemplify this strategy using a field study wherein cellphone users transitioned from a linear to three-part-tariff pricing plan.We Table 1 makes it apparent that discount rates vary consider-ably across studies. The mean weekly discount factor is 0.98 with a standard deviation of 0.032. The corresponding weekly discount rates average 2.09% with a large standard deviation of 3.66%. Inshort, thereisnoclearconsensusregardingthevalueofdiscountfactors, partiallyduetothefact that discount rates are typically not identified. title = "Determining consumers' discount rates with field studies", abstract = "Because utility/profits, state transitions, and discount rates are confounded in dynamic models, discount rates are typically fixed for the purpose of identification. The authors propose a strategy of identifying discount rates. We find that the estimated discount rate corresponds to a weekly discount factor (0.90), lower than the value typically assumed in empirical research (0.995). When using a standard 0.995 discount factor, we find the price coefficient is underestimated by 16%. Determining Consumers' Discount Rates with Field Studies Created Date: 20160808231800Z
The goal of this paper is to construct a model of consumer product replacement and to investigate the implications of replacement cycles for firms. Determining Consumers’ Discount Rates with Field Studies. 1 December 2012 | Journal of Marketing Research, Vol. 49, No. 6 Determining Consumers' Discount Rates with Field Studies. SSRN Online Demand Under Limited Consumer Search. Jun B. Kim, Paulo Albuquerque, Bart J. Bronnenberg; Determining Consumers’ Discount Rates with Field Studies. 1 December 2012 | Journal of Marketing Research, Vol. 49, No. 6 Determining Consumers' Discount Rates with Field Studies. SSRN Electronic Journal.