Demand Estimation Using Managerial Responses to Automated Price Recommendations

Published Online:https://doi.org/10.1287/mnsc.2021.4261

References

  • Alvarez FE, Lippi F, Paciello L (2011) Optimal price setting with observation and menu costs. Quart. J. Econom. 126(4):1909–1960.CrossrefGoogle Scholar
  • Athey S (2017) Beyond prediction: Using big data for policy problems. Science 355(6324):483–485.CrossrefGoogle Scholar
  • Athey S, Imbens GW (2019) Machine learning methods that economists should know about. Annu. Rev. Econom. 11:685–725.CrossrefGoogle Scholar
  • Bajari P, Nekipelov D, Ryan SP, Yang M (2015) Machine learning methods for demand estimation. Amer. Econom. Rev. 105(5):481–485.CrossrefGoogle Scholar
  • Belloni A, Chernozhukov V, Hansen C (2014) Inference on treatment effects after selection among high-dimensional controls. Rev. Econom. Stud. 81(2):608–650.CrossrefGoogle Scholar
  • Belloni A, Chernozhukov V, Hansen C (2016) Post-selection inference for generalized linear models with many controls. J. Bus. Econom. Statist. 34(4):606–619.CrossrefGoogle Scholar
  • Besbes O, Lobel I (2015) Intertemporal price discrimination: Structure and computation of optimal policies. Management Sci. 61(1):92–110.LinkGoogle Scholar
  • Cachon GP, Feldman P (2015) Price commitments with strategic consumers: Why it can be optimal to discount more frequently… than optimal. Manufacturing Service Oper. Management 17(3):399–410.LinkGoogle Scholar
  • Cachon GP, Gallino S, Olivares M (2019) Does adding inventory increase sales? Evidence of a scarcity effect in US automobile dealerships. Management Sci. 65(4):1469–1485.LinkGoogle Scholar
  • Caldentey R, Liu Y, Lobel I (2016) Intertemporal pricing under minimax regret. Oper. Res. 65(1):104–129.LinkGoogle Scholar
  • Castillo JC (2019) Who benefits from surge pricing? Working paper, Stanford University, Stanford, CA.Google Scholar
  • Chen Y, Farias VF (2018) Robust dynamic pricing with strategic customers. Math. Oper. Res. 43(4):1119–1142. LinkGoogle Scholar
  • Chen H, Hu M, Wu J (2021) Intertemporal price discrimination via randomized promotions. Preprint, revised December 20, https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3223844.Google Scholar
  • Chernozhukov V, Hansen C, Spindler M (2015) Valid post-selection and post-regularization inference: An elementary, general approach. Annu. Rev. Econom. 7(1):649–688. CrossrefGoogle Scholar
  • Cho S, Lee G, Rust J, Yu M (2018) Optimal dynamic hotel pricing. Working paper, Seoul National University, Seoul.Google Scholar
  • Cohen P, Hahn R, Hall J, Levitt S, Metcalfe R (2016) Using big data to estimate consumer surplus: The case of Uber. NBER Working Paper 22627, National Bureau of Economic Research, Cambridge, MA. Google Scholar
  • Conlon CT, Mortimer JH (2013) Demand estimation under incomplete product availability. Amer. Econom. J. Microeconom. 5(4):1–30.CrossrefGoogle Scholar
  • Costello AM, Down AK, Mehta MN (2020) Machine + man: A field experiment on the role of discretion in augmenting AI-based lending models. J. Accounting Econom. 70(2-3):101360.CrossrefGoogle Scholar
  • Crawford VP, Sobel J (1982) Strategic information transmission. Econometrica 50(6):1431–1451.CrossrefGoogle Scholar
  • Dube A, Jacobs J, Naidu S, Suri S (2020) Monopsony in online labor markets. Amer. Econom. Rev. Insights 2(1):33–46.CrossrefGoogle Scholar
  • Enz CA, Canina L (2010) Competitive pricing in European hotels. Chen JS, ed. Advances in Hospitality and Leisure (Emerald Group Publishing Limited, Bingley, UK), 3–25.CrossrefGoogle Scholar
  • Fisher M, Gallino S, Netessine S (2020) Setting retail staffing levels: A methodology validated with implementation. Manufacturing Service Oper. Management 23(6):1562–1579.Google Scholar
  • Hunold M, Kesler R, Laitenberger U, Schlütter F (2018) Evaluation of best price clauses in online hotel bookings. Internat. J. Indust. Organ. 61:542–571.CrossrefGoogle Scholar
  • Joo M, Gauri DK, Wilbur KC (2020) Temporal distance and price responsiveness: Empirical investigation of the cruise industry. Management Sci. 66(11):5362–5388.LinkGoogle Scholar
  • Kartik N (2009) Strategic communication with lying costs. Rev. Econom. Stud. 76(4):1359–1395. CrossrefGoogle Scholar
  • Kock AB, Tang H (2019) Uniform inference in high-dimensional dynamic panel data models with approximately sparse fixed effects. Econometric Theory 35(2):295–359.CrossrefGoogle Scholar
  • Lazarev J (2013) The welfare effects of intertemporal price discrimination: An empirical analysis of airline pricing in US monopoly markets. Working paper, New York University, New York.Google Scholar
  • Li J, Granados N, Netessine S (2014) Are consumers strategic? Structural estimation from the air-travel industry. Management Sci. 60(9):2114–2137. LinkGoogle Scholar
  • Li J, Netessine S, Koulayev S (2018) Price to compete…with many: How to identify price competition in high-dimensional space. Management Sci. 64(9):4118–4136.LinkGoogle Scholar
  • Liberti JM, Mian AR (2008) Estimating the effect of hierarchies on information use. Rev. Financial Stud. 22(10):4057–4090.CrossrefGoogle Scholar
  • Mani V, Kesavan S, Swaminathan JM (2015) Estimating the impact of understaffing on sales and profitability in retail stores. Production Oper. Management 24(2):201–218.CrossrefGoogle Scholar
  • Miklós-Thal J, Tucker C (2019) Collusion by algorithm: Does better demand prediction facilitate coordination between sellers? Management Sci. 65(4):1552–1561.LinkGoogle Scholar
  • Moon K, Bimpikis K, Mendelson H (2018) Randomized markdowns and online monitoring. Management Sci. 64(3):1271–1290.LinkGoogle Scholar
  • Nambiar M, Simchi-Levi D, Wang H (2019) Dynamic learning and pricing with model misspecification. Management Sci. 65(11):4980–5000.LinkGoogle Scholar
  • Phillips RL (2005) Pricing and Revenue Optimization (Stanford University Press, Stanford, CA).CrossrefGoogle Scholar
  • Puller SL, Taylor LM (2012) Price discrimination by day-of-week of purchase: Evidence from the US airline industry. J. Econom. Behav. Organ. 84(3):801–812.CrossrefGoogle Scholar
  • Reis R (2006) Inattentive producers. Rev. Econom. Stud. 73(3):793–821. CrossrefGoogle Scholar
  • Semenova V, Goldman M, Chernozhukov V, Taddy M (2021) Estimation and inference on heterogeneous treatment effects in high-dimensional dynamic panels. Preprint, revised March 16, https://arxiv.org/abs/1712.09988.Google Scholar
  • Shang J, Tadikamalla PR, Kirsch LJ, Brown L (2008) A decision support system for managing inventory at GlaxoSmithKline. Decision Support Systems 46(1):1–13. CrossrefGoogle Scholar
  • Simon HA (1956) Rational choice and the structure of the environment. Psych. Rev. 63(2):129–138.CrossrefGoogle Scholar
  • Simon HA (1962) New developments in the theory of the firm. Amer. Econom. Rev. 52(2):1–15.Google Scholar
  • Talluri KT, van Ryzin GJ (2004) The Theory and Practice of Revenue Management (Springer, Boston).CrossrefGoogle Scholar
  • Van Donselaar KH, Gaur V, Van Woensel T, Broekmeulen RA, Fransoo JC (2010) Ordering behavior in retail stores and implications for automated replenishment. Management Sci. 56(5):766–784.LinkGoogle Scholar
  • Williams KR (2022) The welfare effects of dynamic pricing: Evidence from airline markets. Econometrica. Forthcoming.Google Scholar
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