IDEAS home Printed from https://ideas.repec.org/r/nbr/nberwo/14315.html
   My bibliography  Save this item

Demand Estimation Under Incomplete Product Availability

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Pierre Dubois & Morten Sæthre, 2020. "On the Effect of Parallel Trade on Manufacturers' and Retailers' Profits in the Pharmaceutical Sector," Econometrica, Econometric Society, vol. 88(6), pages 2503-2545, November.
  2. Christopher Conlon & Julie Holland Mortimer, 2021. "Empirical properties of diversion ratios," RAND Journal of Economics, RAND Corporation, vol. 52(4), pages 693-726, December.
  3. Mogens Fosgerau & Julien Monardo & André de Palma, 2024. "The Inverse Product Differentiation Logit Model," American Economic Journal: Microeconomics, American Economic Association, vol. 16(4), pages 329-370, November.
  4. Brian Jacob & Brian McCall & Kevin Stange, 2018. "College as Country Club: Do Colleges Cater to Students’ Preferences for Consumption?," Journal of Labor Economics, University of Chicago Press, vol. 36(2), pages 309-348.
  5. Pesendorfer, Martin & Schiraldi, Pasquale & Silva-Junior, Daniel, 2023. "Omitted budget constraint bias in discrete-choice demand models," International Journal of Industrial Organization, Elsevier, vol. 86(C).
  6. Amine Ouazad & Romain Rancière, 2019. "City Equilibrium With Borrowing Constraints: Structural Estimation And General Equilibrium Effects," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 60(2), pages 721-749, May.
  7. Ding, Xiaohui & Chen, Caihua & Li, Chongshou & Lim, Andrew, 2021. "Product demand estimation for vending machines using video surveillance data: A group-lasso method," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 150(C).
  8. Andrew T. Ching & Fumiko Hayashi & Hui Wang, 2015. "Quantifying The Impacts Of Limited Supply: The Case Of Nursing Homes," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56(4), pages 1291-1322, November.
  9. Gerardo Berbeglia & Agustín Garassino & Gustavo Vulcano, 2022. "A Comparative Empirical Study of Discrete Choice Models in Retail Operations," Management Science, INFORMS, vol. 68(6), pages 4005-4023, June.
  10. Daniel Garcia & Juha Tolvanen & Alexander K. Wagner, 2022. "Demand Estimation Using Managerial Responses to Automated Price Recommendations," Management Science, INFORMS, vol. 68(11), pages 7918-7939, November.
  11. Amine Ouazad & Romain Rancière, 2015. "Structural Demand Estimation with Borrowing Constraints," PSE Working Papers halshs-01207997, HAL.
  12. Tenn, Steven & Yun, John M., 2008. "Biases in demand analysis due to variation in retail distribution," International Journal of Industrial Organization, Elsevier, vol. 26(4), pages 984-997, July.
  13. Thomas W. Quan & Kevin R. Williams, 2017. "Product Variety, Across-Market Demand Heterogeneity, and the Value of Online Retail," Cowles Foundation Discussion Papers 2054R3, Cowles Foundation for Research in Economics, Yale University, revised Jun 2018.
  14. Jason Abaluck & Abi Adams, 2017. "What Do Consumers Consider Before They Choose? Identification from Asymmetric Demand Responses," NBER Working Papers 23566, National Bureau of Economic Research, Inc.
  15. Christopher T. Conlon & Julie Holland Mortimer, 2013. "Demand Estimation under Incomplete Product Availability," American Economic Journal: Microeconomics, American Economic Association, vol. 5(4), pages 1-30, November.
  16. Victor H. Aguiar & Maria Jose Boccardi & Nail Kashaev & Jeongbin Kim, 2023. "Random utility and limited consideration," Quantitative Economics, Econometric Society, vol. 14(1), pages 71-116, January.
  17. Richards-Shubik, Seth & Roberts, Mark S. & Donohue, Julie M., 2022. "Measuring quality effects in equilibrium," Journal of Health Economics, Elsevier, vol. 83(C).
  18. Anna Lu, 2017. "Inference of Consumer Consideration Sets," Discussion Papers of DIW Berlin 1681, DIW Berlin, German Institute for Economic Research.
  19. Christopher T. Conlon & Julie Holland Mortimer, 2021. "Efficiency and Foreclosure Effects of Vertical Rebates: Empirical Evidence," Journal of Political Economy, University of Chicago Press, vol. 129(12), pages 3357-3404.
  20. Soetevent, Adriaan R., 2024. "I’d like to move it! The effect of consumption rivalry on demand estimation: Evidence from the EV public charging market," Journal of Environmental Economics and Management, Elsevier, vol. 124(C).
  21. Sergei Koulayev, 2009. "Estimating demand in search markets: the case of online hotel bookings," Working Papers 09-16, Federal Reserve Bank of Boston.
  22. Phillip Leslie & Alan Sorensen, 2009. "The Welfare Effects of Ticket Resale," NBER Working Papers 15476, National Bureau of Economic Research, Inc.
  23. Tinglong Dai & Kinshuk Jerath, 2019. "Salesforce Contracting Under Uncertain Demand and Supply: Double Moral Hazard and Optimality of Smooth Contracts," Marketing Science, INFORMS, vol. 38(5), pages 852-870, September.
  24. Derhami, Shahab & Montreuil, Benoit & Bau, Guilhem, 2021. "Assessing product availability in omnichannel retail networks in the presence of on-demand inventory transshipment and product substitution," Omega, Elsevier, vol. 102(C).
  25. Thomas W. Quan & Kevin R. Williams, 2016. "Product Variety, Across-Market Demand Heterogeneity, and the Value of Online Retail," Cowles Foundation Discussion Papers 2054, Cowles Foundation for Research in Economics, Yale University.
  26. Hickman, William & Mortimer, Julie Holland, 2016. "Demand Estimation with Availability Variation," SocArXiv qe69j, Center for Open Science.
  27. Katherine Ho & Justin Ho & Julie Holland Mortimer, 2012. "The Use of Full-Line Forcing Contracts in the Video Rental Industry," American Economic Review, American Economic Association, vol. 102(2), pages 686-719, April.
  28. Roy Allen & John Rehbeck, 2020. "Identification of Random Coefficient Latent Utility Models," Papers 2003.00276, arXiv.org.
  29. Marshall Fisher & Santiago Gallino & Jun Li, 2018. "Competition-Based Dynamic Pricing in Online Retailing: A Methodology Validated with Field Experiments," Management Science, INFORMS, vol. 64(6), pages 2496-2514, June.
  30. Ali Hortacsu & Olivia R. Natan & Hayden Parsley & Timothy Schwieg & Kevin R. Williams, 2021. "Incorporating Search and Sales Information in Demand Estimation," Cowles Foundation Discussion Papers 2313R1, Cowles Foundation for Research in Economics, Yale University, revised Mar 2023.
  31. Boxiao Chen & Xiuli Chao, 2020. "Dynamic Inventory Control with Stockout Substitution and Demand Learning," Management Science, INFORMS, vol. 66(11), pages 5108-5127, November.
  32. Nail Kashaev & Natalia Lazzati, 2019. "Peer Effects in Random Consideration Sets," Papers 1904.06742, arXiv.org, revised May 2021.
  33. Fildes, Robert & Ma, Shaohui & Kolassa, Stephan, 2022. "Retail forecasting: Research and practice," International Journal of Forecasting, Elsevier, vol. 38(4), pages 1283-1318.
  34. Justine Hastings & Christopher A. Neilson & Seth D. Zimmerman, 2015. "The Effects of Earnings Disclosure on College Enrollment Decisions," NBER Working Papers 21300, National Bureau of Economic Research, Inc.
  35. Steven Berry & Panle Jia, 2010. "Tracing the Woes: An Empirical Analysis of the Airline Industry," American Economic Journal: Microeconomics, American Economic Association, vol. 2(3), pages 1-43, August.
  36. Jean-Pierre H. Dubé & Ali Hortaçsu & Joonhwi Joo, 2020. "Random-Coefficients Logit Demand Estimation with Zero-Valued Market Shares," Working Papers 2020-13, Becker Friedman Institute for Research In Economics.
  37. Levon Barseghyan & Francesca Molinari & Matthew Thirkettle, 2021. "Discrete Choice under Risk with Limited Consideration," American Economic Review, American Economic Association, vol. 111(6), pages 1972-2006, June.
  38. Kashaev, Nail & Aguiar, Victor H., 2022. "A random attention and utility model," Journal of Economic Theory, Elsevier, vol. 204(C).
  39. Julia Levine & Stephan Seiler, 2023. "Identifying State Dependence in Brand Choice: Evidence from Hurricanes," Marketing Science, INFORMS, vol. 42(5), pages 934-957, September.
  40. Nikhil Agarwal, 2015. "An Empirical Model of the Medical Match," American Economic Review, American Economic Association, vol. 105(7), pages 1939-1978, July.
  41. Yuan, Zhennan & Yan, Xiaoming, 2024. "Is ignorance bliss? Centralized and competitive newsvendor models with product availability effect," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 189(C).
  42. Lu, Zhentong, 2022. "Estimating multinomial choice models with unobserved choice sets," Journal of Econometrics, Elsevier, vol. 226(2), pages 368-398.
  43. Ricard Gil & Jingyi Xing, 2024. "Political backlash and consumer boycotts: Evidence from the NFB relocation and movie demand in Canada," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 57(3), pages 933-960, August.
  44. Griffith, Rachel & Crawford, Gregory & Iaria, Alessandro, 2016. "Preference Estimation with Unobserved Choice Set Heterogeneity using Sufficient Sets," CEPR Discussion Papers 11675, C.E.P.R. Discussion Papers.
  45. Christopher T. Conlon & Julie Holland Mortimer, 2010. "Effects of Product Availability: Experimental Evidence," Boston College Working Papers in Economics 798, Boston College Department of Economics.
  46. Jason Abaluck & Abi Adams, 2017. "What do consumers consider before they choose? Identification from asymmetric demand responses," IFS Working Papers W17/09, Institute for Fiscal Studies.
  47. Fildes, Robert & Ma, Shaohui & Kolassa, Stephan, 2019. "Retail forecasting: research and practice," MPRA Paper 89356, University Library of Munich, Germany.
  48. Transchel, Sandra, 2017. "Inventory management under price-based and stockout-based substitution," European Journal of Operational Research, Elsevier, vol. 262(3), pages 996-1008.
  49. Jean-Pierre H. Dubé & Ali Hortaçsu & Joonhwi Joo, 2020. "Random-Coefficients Logit Demand Estimation with Zero-Valued Market Shares," NBER Working Papers 26795, National Bureau of Economic Research, Inc.
  50. Levon Barseghyan & Maura Coughlin & Francesca Molinari & Joshua C. Teitelbaum, 2021. "Heterogeneous Choice Sets and Preferences," Econometrica, Econometric Society, vol. 89(5), pages 2015-2048, September.
  51. Aditya Jain & Nils Rudi & Tong Wang, 2015. "Demand Estimation and Ordering Under Censoring: Stock-Out Timing Is (Almost) All You Need," Operations Research, INFORMS, vol. 63(1), pages 134-150, February.
  52. Friberg, Richard & Paterson, Robert W. & Richardson, Andrew D., 2011. "Why is there a Home Bias? A Case Study of Wine," Journal of Wine Economics, Cambridge University Press, vol. 6(1), pages 37-66, January.
  53. Gowrisankaran, Gautam & Lucarelli, Claudio & Schmidt-Dengler, Philipp & Town, Robert, 2018. "Can amputation save the hospital? The impact of the Medicare Rural Flexibility Program on demand and welfare," Journal of Health Economics, Elsevier, vol. 58(C), pages 110-122.
  54. Yael Steinhart & David Mazursky & Michael Kamins, 2013. "The process by which product availability triggers purchase," Marketing Letters, Springer, vol. 24(3), pages 217-228, September.
  55. Pesendorfer, Martin & Schiraldi, Pasquale & Silva-Junior, Daniel, 2023. "Omitted budget constraint bias in discrete-choice demand models," LSE Research Online Documents on Economics 117353, London School of Economics and Political Science, LSE Library.
  56. In Kyung Kim & Vladyslav Nora, 2017. "Does Vertical Integration Enhance Non-Price Efficiency? Evidence from the Movie Theater Industry," Working Papers 1701, Nazarbayev University, Department of Economics, revised Feb 2018.
  57. Ping Yan & Jun Pei & Altannar Chinchuluun, 2020. "Strategic decisions of sales and pay-per-use rentals under incomplete product availability," Journal of Global Optimization, Springer, vol. 78(4), pages 671-691, December.
  58. Hongzhang Shao & Anton J. Kleywegt, 2020. "Joint Estimation of Discrete Choice Model and Arrival Rate with Unobserved Stock-out Events," Papers 2003.02313, arXiv.org.
  59. Crawford, Gregory S. & Griffith, Rachel & Iaria, Alessandro, 2021. "A survey of preference estimation with unobserved choice set heterogeneity," Journal of Econometrics, Elsevier, vol. 222(1), pages 4-43.
  60. Gualdani, Cristina & Sinha, Shruti, 2019. "Identification and inference in discrete choice models with imperfect information," TSE Working Papers 19-1049, Toulouse School of Economics (TSE), revised Jun 2020.
  61. Cristina Gualdani & Shruti Sinha, 2019. "Identification in discrete choice models with imperfect information," Papers 1911.04529, arXiv.org, revised Dec 2023.
  62. Draganska, Michaela & Klapper, Daniel, 2010. "Choice Set Heterogeneity and the Role of Advertising: An Analysis with Micro and Macro Data," Research Papers 2063, Stanford University, Graduate School of Business.
  63. Wan, Mingchao & Huang, Yihui & Zhao, Lei & Deng, Tianhu & Fransoo, Jan C., 2018. "Demand estimation under multi-store multi-product substitution in high density traditional retail," European Journal of Operational Research, Elsevier, vol. 266(1), pages 99-111.
  64. Hyung Sup (Zack) Bhan & Eric T. Anderson, 2023. "Multiyear Impact of Backorder Delays: A Quasi-Experimental Approach," Marketing Science, INFORMS, vol. 42(2), pages 314-335, March.
  65. Julie Mortimer & Christopher Conlon, 2014. "Efficiency and Foreclosure Effects of All-Units Discounts: Empirical Evidence," 2014 Meeting Papers 1177, Society for Economic Dynamics.
  66. Matteo Benetton & Giovanni Compiani, 2024. "Investors’ Beliefs and Cryptocurrency Prices," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 14(2), pages 197-236.
  67. Ali Hortacsu & Olivia R. Natan & Hayden Parsley & Timothy Schwieg & Kevin R. Williams, 2021. "Incorporating Search and Sales Information in Demand Estimation," Cowles Foundation Discussion Papers 2313, Cowles Foundation for Research in Economics, Yale University.
  68. Ching, Andrew & Kawaguchi, Kohei & Liu, Jia & Yi, Zhang, 2023. "Consumer Responses to Favorite Product Removal: Evidence from Beverage Vending Machines," SocArXiv t34qj, Center for Open Science.
  69. Ashish Kabra & Elena Belavina & Karan Girotra, 2020. "Bike-Share Systems: Accessibility and Availability," Management Science, INFORMS, vol. 66(9), pages 3803-3824, September.
  70. Larry G Epstein & Kaushil Patel, 2024. "Identifying Heterogeneous Decision Rules From Choices When Menus Are Unobserved," Papers 2405.09500, arXiv.org.
  71. Pu He & Fanyin Zheng & Elena Belavina & Karan Girotra, 2021. "Customer Preference and Station Network in the London Bike-Share System," Management Science, INFORMS, vol. 67(3), pages 1392-1412, March.
  72. Guy Aridor, 2022. "Measuring Substitution Patterns in the Attention Economy: An Experimental Approach," CESifo Working Paper Series 10190, CESifo.
  73. Roy Allen, 2024. "Exogenous Consideration and Extended Random Utility," Papers 2405.13945, arXiv.org.
  74. Joonkyum Lee & Vishal Gaur & Suresh Muthulingam & Gary F. Swisher, 2016. "Stockout-Based Substitution and Inventory Planning in Textbook Retailing," Manufacturing & Service Operations Management, INFORMS, vol. 18(1), pages 104-121, February.
  75. John S. Jatta & Krishna Kumar Krishnan, 2016. "An empirical assessment of a univariate time series for demand planning in a demand-driven supply chain," International Journal of Business Forecasting and Marketing Intelligence, Inderscience Enterprises Ltd, vol. 2(3), pages 269-290.
  76. Garrett van Ryzin & Gustavo Vulcano, 2017. "Technical Note—An Expectation-Maximization Method to Estimate a Rank-Based Choice Model of Demand," Operations Research, INFORMS, vol. 65(2), pages 396-407, April.
  77. Levon Barseghyan & Francesca Molinari, 2023. "Risk Preference Types, Limited Consideration, and Welfare," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 41(4), pages 1011-1029, October.
  78. Jason Abaluck & Giovanni Compiani, 2020. "A Method to Estimate Discrete Choice Models that is Robust to Consumer Search," NBER Working Papers 26849, National Bureau of Economic Research, Inc.
  79. In Kyung Kim & Vladyslav Nora, 2020. "Does vertical integration enhance non-price efficiency? Evidence from the movie theater industry," Review of Economic Design, Springer;Society for Economic Design, vol. 24(3), pages 143-170, December.
  80. Daniel Greenfield & Jeremy A. Sandford, 2021. "Upward pricing pressure in mergers of capacity‐constrained firms," Economic Inquiry, Western Economic Association International, vol. 59(4), pages 1723-1747, October.
  81. K. Sudhir & Nathan Yang, 2014. "Exploiting the Choice-Consumption Mismatch: A New Approach to Disentangle State Dependence and Heterogeneity," Cowles Foundation Discussion Papers 1941, Cowles Foundation for Research in Economics, Yale University.
  82. Kohei Kawaguchi & Kosuke Uetake & Yasutora Watanabe, 2021. "Designing Context-Based Marketing: Product Recommendations Under Time Pressure," Management Science, INFORMS, vol. 67(9), pages 5642-5659, September.
  83. Bharadwaj Kadiyala & Robert Phillips & A. Serdar Şimşek & Garrett van Ryzin, 2023. "Predicting transaction outcomes under customized pricing with discretion: A structural estimation approach," Production and Operations Management, Production and Operations Management Society, vol. 32(6), pages 1654-1673, June.
  84. Sergei Koulayev, 2008. "Estimating search with learning," Working Papers 08-29, NET Institute, revised Oct 2008.
  85. Jean-Pierre Dubé & Ali Hortaçsu & Joonhwi Joo, 2021. "Random-Coefficients Logit Demand Estimation with Zero-Valued Market Shares," Marketing Science, INFORMS, vol. 40(4), pages 637-660, July.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.