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Intertemporal effects of consumption and their implications for demand elasticity estimates

Citations

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Cited by:

  1. Victor Aguirregabiria & Victor Aguirregabiria & Aviv Nevo & Aviv Nevo, 2010. "Recent Developments in Empirical IO: Dynamic Demand and Dynamic Games," Working Papers tecipa-419, University of Toronto, Department of Economics.
  2. Jeremy T. Fox, 2010. "Estimating the Employer Switching Costs and Wage Responses of Forward-Looking Engineers," Journal of Labor Economics, University of Chicago Press, vol. 28(2), pages 357-412, April.
  3. Hai Che & Tülin Erdem & T. Öncü, 2015. "Consumer learning and evolution of consumer brand preferences," Quantitative Marketing and Economics (QME), Springer, vol. 13(3), pages 173-202, September.
  4. Daniel Ackerberg, 2009. "A new use of importance sampling to reduce computational burden in simulation estimation," Quantitative Marketing and Economics (QME), Springer, vol. 7(4), pages 343-376, December.
  5. Mantian (Mandy) Hu & Chu (Ivy) Dang & Pradeep K. Chintagunta, 2019. "Search and Learning at a Daily Deals Website," Marketing Science, INFORMS, vol. 38(4), pages 609-642, July.
  6. Chen, Zhiyuan & Liang, Xiaoying & Xie, Lei, 2016. "Inter-temporal price discrimination and satiety-driven repeat purchases," European Journal of Operational Research, Elsevier, vol. 251(1), pages 225-236.
  7. Hema Yoganarasimhan, 2013. "The Value of Reputation in an Online Freelance Marketplace," Marketing Science, INFORMS, vol. 32(6), pages 860-891, November.
  8. Chen, Jiawei & Esteban, Susanna & Shum, Matthew, 2008. "Demand and supply estimation biases due to omission of durability," Journal of Econometrics, Elsevier, vol. 147(2), pages 247-257, December.
  9. Aviv Nevo & John L. Turner & Jonathan W. Williams, 2016. "Usage‐Based Pricing and Demand for Residential Broadband," Econometrica, Econometric Society, vol. 84, pages 411-443, March.
  10. Hai Che & Tülin Erdem & T. Sabri Öncü, 2015. "Consumer learning and evolution of consumer brand preferences," Quantitative Marketing and Economics (QME), Springer, vol. 13(3), pages 173-202, September.
  11. Pradeep K. Chintagunta & Harikesh S. Nair, 2011. "Structural Workshop Paper --Discrete-Choice Models of Consumer Demand in Marketing," Marketing Science, INFORMS, vol. 30(6), pages 977-996, November.
  12. Emily Yucai Wang, 2015. "The impact of soda taxes on consumer welfare: implications of storability and taste heterogeneity," RAND Journal of Economics, RAND Corporation, vol. 46(2), pages 409-441, June.
  13. Bryan Bollinger, 2015. "Green technology adoption: An empirical study of the Southern California garment cleaning industry," Quantitative Marketing and Economics (QME), Springer, vol. 13(4), pages 319-358, December.
  14. Takeshi Fukasawa, 2024. "The Biases in Applying Static Demand Models Under Dynamic Demand," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 65(2), pages 561-594, September.
  15. Yewon Kim & Pradeep K. Chintagunta & Bhuvanesh Pareek, 2022. "Government Policy, Strategic Consumer Behavior, and Spillovers to Retailers: The Case of Demonetization in India," Marketing Science, INFORMS, vol. 41(6), pages 1118-1144, November.
  16. Andrew Ching & Susumu Imai & Masakazu Ishihara & Neelam Jain, 2012. "A practitioner’s guide to Bayesian estimation of discrete choice dynamic programming models," Quantitative Marketing and Economics (QME), Springer, vol. 10(2), pages 151-196, June.
  17. Navdeep S. Sahni & Dan Zou & Pradeep K. Chintagunta, 2017. "Do Targeted Discount Offers Serve as Advertising? Evidence from 70 Field Experiments," Management Science, INFORMS, vol. 63(8), pages 2688-2705, August.
  18. Glady, Nicolas & Lemmens, Aurélie & Croux, Christophe, 2015. "Unveiling the relationship between the transaction timing, spending and dropout behavior of customers," International Journal of Research in Marketing, Elsevier, vol. 32(1), pages 78-93.
  19. repec:tiu:tiutis:52e91e47-4a2d-4e7b-bb23-3926b842ae30 is not listed on IDEAS
  20. Bryan Bollinger, 2015. "Green technology adoption: An empirical study of the Southern California garment cleaning industry," Quantitative Marketing and Economics (QME), Springer, vol. 13(4), pages 319-358, December.
  21. Eelco Kappe & Ashley Stadler Blank & Wayne S. DeSarbo, 2014. "A General Multiple Distributed Lag Framework for Estimating the Dynamic Effects of Promotions," Management Science, INFORMS, vol. 60(6), pages 1489-1510, June.
  22. Takeshi Fukasawa, 2022. "The Biases in Applying Static Demand Models under Dynamic Demand," Discussion Paper Series DP2022-18, Research Institute for Economics & Business Administration, Kobe University, revised Jul 2022.
  23. James W. Roberts & Andrew Sweeting, 2016. "Bailouts and the Preservation of Competition: The Case of the Federal Timber Contract Payment Modification Act," American Economic Journal: Microeconomics, American Economic Association, vol. 8(3), pages 257-288, August.
  24. Nathan I. N. Henry & Mangor Pedersen & Matt Williams & Jamin L. B. Martin & Liesje Donkin, 2024. "A Hormetic Approach to the Value-Loading Problem: Preventing the Paperclip Apocalypse?," Papers 2402.07462, arXiv.org, revised Feb 2024.
  25. Yi Zhao & Sha Yang & Matthew Shum & Shantanu Dutta, 2022. "A Dynamic Model of Player Level-Progression Decisions in Online Gaming," Management Science, INFORMS, vol. 68(11), pages 8062-8082, November.
  26. Caminal, Ramon, 2019. "The dynamic provision of product diversity under duopoly," International Journal of Industrial Organization, Elsevier, vol. 65(C), pages 248-276.
  27. Yifan Wu & Ramesh Johari & Vasilis Syrgkanis & Gabriel Y. Weintraub, 2024. "Switchback Price Experiments with Forward-Looking Demand," Papers 2410.14904, arXiv.org.
  28. 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 (QME), Springer, vol. 6(2), pages 109-137, June.
  29. Lin, Haizhen & Sacks, Daniel W., 2019. "Intertemporal substitution in health care demand: Evidence from the RAND Health Insurance Experiment," Journal of Public Economics, Elsevier, vol. 175(C), pages 29-43.
  30. Jeremy T. Fox, 2009. "Estimating the Employer Switching Costs and Wage Responses of Forward-Looking Engineers," Working Papers 1113, Princeton University, Department of Economics, Industrial Relations Section..
  31. Yufeng Huang, 2019. "Learning by Doing and the Demand for Advanced Products," Marketing Science, INFORMS, vol. 38(1), pages 107-128, January.
  32. 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.
  33. Matthew Osborne, 2011. "Consumer learning, switching costs, and heterogeneity: A structural examination," Quantitative Marketing and Economics (QME), Springer, vol. 9(1), pages 25-70, March.
  34. Raluca Ursu & Stephan Seiler & Elisabeth Honka, 2023. "The Sequential Search Model: A Framework for Empirical Research," CESifo Working Paper Series 10264, CESifo.
  35. Raluca Ursu & Stephan Seiler & Elisabeth Honka, 2025. "The sequential search model: A framework for empirical research," Quantitative Marketing and Economics (QME), Springer, vol. 23(1), pages 165-213, March.
  36. Guofang Huang & Ahmed Khwaja & K. Sudhir, 2015. "Short-Run Needs and Long-Term Goals: A Dynamic Model of Thirst Management," Marketing Science, INFORMS, vol. 34(5), pages 702-721, September.
  37. Bronnenberg, Bart, 2018. "Innovation and Distribution: A General Equilibrium Model of Manufacturing and Retailing," CEPR Discussion Papers 13058, C.E.P.R. Discussion Papers.
  38. Wesley R. Hartmann, 2010. "Demand Estimation with Social Interactions and the Implications for Targeted Marketing," Marketing Science, INFORMS, vol. 29(4), pages 585-601, 07-08.
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