Estimating Position and Social Influence Effects in Online Search

Published Online:https://doi.org/10.1287/mksc.2023.0392

References

  • Banerjee AV (1992) A simple model of herd behavior. Quart. J. Econom. 107(3):797–817.CrossrefGoogle Scholar
  • Bikhchandani S, Hirshleifer D, Welch I (1992) A theory of fads, fashion, custom, and cultural change as informational cascades. J. Political Econom. 100(5):992–1026.CrossrefGoogle Scholar
  • Cai H, Chen Y, Fang H (2009) Observational learning: Evidence from a randomized natural field experiment. Amer. Econom. Rev. 99(3):864–882.CrossrefGoogle Scholar
  • Carrera M, Villas-Boas S (2023) Generic aversion and observational learning in the over-the-counter drug market. Amer. Econom. J.: Appl. Econom. 15(3):380–410.CrossrefGoogle Scholar
  • Çelen B, Kariv S (2004) Distinguishing informational cascades from herd behavior in the laboratory. Amer. Econom. Rev. 94(3):484–498.CrossrefGoogle Scholar
  • Chawla S, Gergatsouli E, McMahan J, Tzamos C (2023) Approximating Pandora’s box with correlations. Megow N, Smith A, eds. Approximation Randomization Combin. Optim.: Algorithms Techniques (APPROX/RANDOM 2023) (Schloss Dagstuhl–Leibniz-Zentrum für Informatik, Wadern, Germany), 26:1–26:24.Google Scholar
  • Chawla S, Gergatsouli E, Teng Y, Tzamos C, Zhang R (2020) Pandora’s box with correlations: Learning and approximation. IEEE 61st Annual Sympos. Foundations Comput. Sci. (FOCS) (IEEE, Piscataway, NJ), 1214–1225.Google Scholar
  • Chen Y, Yao S (2017) Sequential search with refinement: Model and application with click-stream data. Management Sci. 63(12):4345–4365.LinkGoogle Scholar
  • Chen Y, Wang Q, Xie J (2011) Online social interactions: A natural experiment on word of mouth versus observational learning. J. Marketing Res. 48(2):238–254.CrossrefGoogle Scholar
  • Ching AT (2010) Consumer learning and heterogeneity: Dynamics of demand for prescription drugs after patent expiration. Internat. J. Indust. Organ. 28(6):619–638.CrossrefGoogle Scholar
  • Ching AT, Lim H (2020) A structural model of correlated learning and late-mover advantages: The case of statins. Management Sci. 66(3):1095–1123.LinkGoogle Scholar
  • Choi H, Mela CF (2019) Monetizing online marketplaces. Marketing Sci. 38(6):948–972.AbstractGoogle Scholar
  • Chung JH (2019) Estimation of Sequential Search Models (The University of Chicago, Chicago).Google Scholar
  • Compiani G, Lewis G, Peng S, Wang P (2024) Online search and optimal product rankings: An empirical framework. Marketing Sci. 43(3):615–636.LinkGoogle Scholar
  • De los Santos B, Koulayev S (2017) Optimizing click-through in online rankings with endogenous search refinement. Marketing Sci. 36(4):542–564.LinkGoogle Scholar
  • Doraszelski U, Lewis G, Pakes A (2018) Just starting out: Learning and equilibrium in a new market. Amer. Econom. Rev. 108(3):565–615.CrossrefGoogle Scholar
  • Erdem T (1998) An empirical analysis of umbrella branding. J. Marketing Res. 35(3):339–351.CrossrefGoogle Scholar
  • Geweke J (1989) Bayesian inference in econometric models using Monte Carlo integration. Econometrica 57(6):1317–1339.CrossrefGoogle Scholar
  • Ghose A, Ipeirotis PG, Li B (2014) Examining the impact of ranking on consumer behavior and search engine revenue. Management Sci. 60(7):1632–1654.LinkGoogle Scholar
  • Greminger RP (2021) Heterogeneous position effects and the power of rankings. Preprint, submitted June 30, https://arxiv.org/html/2210.16408v4.Google Scholar
  • Hajivassiliou VA, McFadden DL (1998) The method of simulated scores for the estimation of LDV models. Econometrica 66(4):863–896.CrossrefGoogle Scholar
  • Heckman JJ (1979) Sample selection bias as a specification error. Econometrica 47(1):153–161.CrossrefGoogle Scholar
  • Hendel I, Nevo A (2006) Measuring the implications of sales and consumer inventory behavior. Econometrica 74(6):1637–1673.CrossrefGoogle Scholar
  • Hendricks K, Sorensen A, Wiseman T (2012) Observational learning and demand for search goods. Amer. Econom. J.: Microeconom. 4(1):1–31.CrossrefGoogle Scholar
  • Honka E (2014) Quantifying search and switching costs in the US auto insurance industry. RAND J. Econom. 45(4):847–884.CrossrefGoogle Scholar
  • Honka E, Chintagunta P (2017) Simultaneous or sequential? Search strategies in the US auto insurance industry. Marketing Sci. 36(1):21–42.LinkGoogle Scholar
  • Iyengar SS, Lepper MR (2000) When choice is demotivating: Can one desire too much of a good thing? J. Personality Soc. Psych. 79(6):995–1006.CrossrefGoogle Scholar
  • Jiang Z, Chan T, Che H, Wang Y (2021) Consumer search and purchase: An empirical investigation of retargeting based on consumer online behaviors. Marketing Sci. 40(2):219–240.LinkGoogle Scholar
  • Kasahara H, Shimotsu K (2008) Pseudo-likelihood estimation and bootstrap inference for structural discrete Markov decision models. J. Econometrics 146(1):92–106.CrossrefGoogle Scholar
  • Keane MP (1994) A computationally practical simulation estimator for panel data. Econometrica 62(1):95–116.CrossrefGoogle Scholar
  • Kim JB, Albuquerque P, Bronnenberg BJ (2010) Online demand under limited consumer search. Marketing Sci. 29(6):1001–1023.LinkGoogle Scholar
  • Kim JB, Albuquerque P, Bronnenberg BJ (2017) The probit choice model under sequential search with an application to online retailing. Management Sci. 63(11):3911–3929.LinkGoogle Scholar
  • Krumme C, Cebrian M, Pickard G, Pentland S (2012) Quantifying social influence in an online cultural market. PLoS One 7(5):e33785.CrossrefGoogle Scholar
  • Li X, Ching AT (2024) How does a firm adapt in a changing world? The case of prosper marketplace. Marketing Sci. 43(3):673–693.LinkGoogle Scholar
  • McFadden D (1989) A method of simulated moments for estimation of discrete response models without numerical integration. Econometrica 57(5):995–1026.CrossrefGoogle Scholar
  • Moorthy S, Ratchford BT, Talukdar D (1997) Consumer information search revisited: Theory and empirical analysis. J. Consumer Res. 23(4):263–277.CrossrefGoogle Scholar
  • Moorthy S, Shahrokhi Tehrani S (2023) Targeting advertising spending and price on the hotelling line. Marketing Sci. 42(6):1057–1079.LinkGoogle Scholar
  • Moraga-González JL, Sándor Z, Wildenbeest MR (2017) Prices and heterogeneous search costs. RAND J. Econom. 48(1):125–146.CrossrefGoogle Scholar
  • Moraga-González JL, Sándor Z, Wildenbeest MR (2023) Consumer search and prices in the automobile market. Rev. Econom. Stud. 90(3):1394–1440.CrossrefGoogle Scholar
  • Murphy KM, Topel RH (2002) Estimation and inference in two-step econometric models. J. Bus. Econom. Statist. 20(1):88–97.CrossrefGoogle Scholar
  • Narayanan S, Kalyanam K (2015) Position effects in search advertising and their moderators: A regression discontinuity approach. Marketing Sci. 34(3):388–407.LinkGoogle Scholar
  • Newberry PW (2016) An empirical study of observational learning. RAND J. Econom. 47(2):394–432.CrossrefGoogle Scholar
  • Olszewski W, Weber R (2015a) A more general Pandora’s rule? Preprint, submitted September 30, https://arxiv.org/abs/1509.09095.Google Scholar
  • Olszewski W, Weber R (2015b) A more general Pandora rule? J. Econom. Theory 160:429–437.CrossrefGoogle Scholar
  • Payne JW, Bettman JR, Johnson EJ (1993) The Adaptive Decision Maker (Cambridge University Press, Cambridge, UK).CrossrefGoogle Scholar
  • Ratchford BT (1982) Cost-benefit models for explaining consumer choice and information seeking behavior. Management Sci. 28(2):197–212.LinkGoogle Scholar
  • Roos JM, Mela CF, Shachar R (2020) The effect of links and excerpts on internet news consumption. J. Marketing Res. 57(3):395–421.CrossrefGoogle Scholar
  • Rutz OJ, Bucklin RE, Sonnier GP (2012) A latent instrumental variables approach to modeling keyword conversion in paid search advertising. J. Marketing Res. 49(3):306–319.CrossrefGoogle Scholar
  • Salganik MJ (2008) Data from success and failure in cultural markets. Supplement to unpublished doctoral dissertation, Department of Sociology, Columbia University, New York.Google Scholar
  • Salganik MJ, Watts DJ (2008) Leading the herd astray: An experimental study of self-fulfilling prophecies in an artificial cultural market. Soc. Psych. Quart. 71(4):338–355.CrossrefGoogle Scholar
  • Salganik MJ, Watts DJ (2009) Web-based experiments for the study of collective social dynamics in cultural markets. Topics Cognitive Sci. 1(3):439–468.CrossrefGoogle Scholar
  • Salganik MJ, Dodds PS, Watts DJ (2006) Experimental study of inequality and unpredictability in an artificial cultural market. Science 311(5762):854–856.CrossrefGoogle Scholar
  • Shah AM, Wolford G (2007) Buying behavior as a function of parametric variation of number of choices. Psych. Sci. 18(5):369–370.CrossrefGoogle Scholar
  • Sun M, Zhang X, Zhu F (2019) U-shaped conformity in online social networks. Marketing Sci. 38(3):461–480.LinkGoogle Scholar
  • Tehrani SS, Ching AT (2024) A heuristic approach to explore: The value of perfect information. Management Sci. 70(5):3200–3224.LinkGoogle Scholar
  • Terza JV, Basu A, Rathouz PJ (2008) Two-stage residual inclusion estimation: Addressing endogeneity in health econometric modeling. J. Health Econom. 27(3):531–543.CrossrefGoogle Scholar
  • Tucker C, Zhang J (2011) How does popularity information affect choices? A field experiment. Management Sci. 57(5):828–842.LinkGoogle Scholar
  • Ursu RM (2018) The power of rankings: Quantifying the effect of rankings on online consumer search and purchase decisions. Marketing Sci. 37(4):530–552.LinkGoogle Scholar
  • Ursu R, Seiler S, Honka E (2024) The sequential search model: A framework for empirical research. Quant. Marketing Econom. 23:165–213.CrossrefGoogle Scholar
  • Weitzman ML (1979) Optimal search for the best alternative. Econometrica 47(3):641–654.CrossrefGoogle Scholar
  • Wooldridge JM (2014) Quasi-maximum likelihood estimation and testing for nonlinear models with endogenous explanatory variables. J. Econometrics 182(1):226–234.CrossrefGoogle Scholar
  • Zhang J (2010) The sound of silence: Observational learning in the US kidney market. Marketing Sci. 29(2):315–335.LinkGoogle Scholar
  • Zhang J, Liu P (2012) Rational herding in microloan markets. Management Sci. 58(5):892–912.LinkGoogle Scholar
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