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Intertemporal effects of consumption and their implications for demand elasticity estimates

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Author Info
Wesley Hartmann ()
Abstract

Consumption of a good typically diminishes the marginal utility of consuming more, but for how long? This paper adapts a model of consumption capital to allow consumption to have a lasting effect that diminishes the marginal utility of future consumption. Estimates of the model find that it takes the 25th, median and 75th percentile of consumers 19, 32 and 43 days for their marginal utilities to return to pre-consumption levels, and they are forward-looking with respect to these effects. This generates intertemporal substitution of consumption that leads to an overestimate of the own-price elasticity of demand of ten percent when it is estimated using temporary price changes. In addition to these implications consumption effects share with those of durable and storable goods, consumption effects also raise concerns for capacity constrained industries because the timing of consumption affects capacity utilization. In the empirical application in this paper, price variation in one time period generates substantial changes in capacity utilization in that period, but minimal changes in other periods because the intertemporal substitution is spread over many time periods. Copyright Springer Science + Business Media, LLC 2006

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File URL: http://hdl.handle.net/10.1007/s11129-006-9012-2
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Publisher Info
Article provided by Springer in its journal Quantitative Marketing and Economics.

Volume (Year): 4 (2006)
Issue (Month): 4 (December)
Pages: 325-349
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Handle: RePEc:kap:qmktec:v:4:y:2006:i:4:p:325-349

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Keywords: Consumption; Discrete choice; Dynamic programming; Random coefficients;

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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
  1. Rust, John, 1987. "Optimal Replacement of GMC Bus Engines: An Empirical Model of Harold Zurcher," Econometrica, Econometric Society, vol. 55(5), pages 999-1033, September. [Downloadable!] (restricted)
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  3. Keane, Michael P, 1997. "Modeling Heterogeneity and State Dependence in Consumer Choice Behavior," Journal of Business & Economic Statistics, American Statistical Association, vol. 15(3), pages 310-27, July.
  4. Ryder, Harl E, Jr & Heal, Geoffrey M, 1973. "Optimum Growth with Intertemporally Dependent Preferences," Review of Economic Studies, Blackwell Publishing, vol. 40(1), pages 1-33, January. [Downloadable!] (restricted)
  5. Gary S. Becker & Michael Grossman & Kevin M. Murphy, 1994. "An Empirical Analysis of Cigarette Addiction," NBER Working Papers 3322, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  6. Stigler, George J & Becker, Gary S, 1977. "De Gustibus Non Est Disputandum," American Economic Review, American Economic Association, vol. 67(2), pages 76-90, March.
  7. McAlister, Leigh, 1982. " A Dynamic Attribute Satiation Model of Variety-Seeking Behavior," Journal of Consumer Research: An Interdisciplinary Quarterly, University of Chicago Press, vol. 9(2), pages 141-50, September.
  8. Daniel A. Ackerberg, 2001. "A New Use of Importance Sampling to Reduce Computational Burden in Simulation Estimation," NBER Technical Working Papers 0273, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
  9. Keane, Michael P & Wolpin, Kenneth I, 1997. "The Career Decisions of Young Men," Journal of Political Economy, University of Chicago Press, vol. 105(3), pages 473-522, June.
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  10. Berry, Steven & Levinsohn, James & Pakes, Ariel, 1995. "Automobile Prices in Market Equilibrium," Econometrica, Econometric Society, vol. 63(4), pages 841-90, July. [Downloadable!] (restricted)
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Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Wesley Hartmann & V. Viard, 2008. "Do frequency reward programs create switching costs? A dynamic structural analysis of demand in a reward program," Quantitative Marketing and Economics, Springer, vol. 6(2), pages 109-137, June. [Downloadable!] (restricted)
  2. Daniel Ackerberg, 2009. "A new use of importance sampling to reduce computational burden in simulation estimation," Quantitative Marketing and Economics, Springer, vol. 7(4), pages 343-376, December. [Downloadable!] (restricted)
  3. Bart Bronnenberg & Jean Dubé & Carl Mela & Paulo Albuquerque & Tulin Erdem & Brett Gordon & Dominique Hanssens & Guenter Hitsch & Han Hong & Baohong Sun, 2008. "Measuring long-run marketing effects and their implications for long-run marketing decisions," Marketing Letters, Springer, vol. 19(3), pages 367-382, December. [Downloadable!] (restricted)
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