The Power of Rankings: Quantifying the Effect of Rankings on Online Consumer Search and Purchase Decisions

References

• Agarwal A, Hosanagar K, Smith M (2011) Location, location, location: An analysis of profitability of position in online advertising markets. J. Marketing Res. 48(6):1057–1073.Crossref, Google Scholar
• Ansari A, Mela C (2003) E-customization. J. Marketing Res. 40(2):131–145.Crossref, Google Scholar
• Ansari A, Essegaier S, Kohli R (2000) Internet recommendation systems. J. Marketing Res. 37(3):363–375.Crossref, Google Scholar
• Athey S, Ellison G (2011) Position auctions with consumer search. Quart. J. Econm. 126(3):1213–1270.Crossref, Google Scholar
• Athey S, Imbens G (2015) Machine learning methods for estimating heterogeneous causal effects. Working paper, Stanford University, Palo Alto, CA, http://arxiv.org/pdf/1504.01132v1.pdf.Google Scholar
• Baye M, De los Santos B, Wildenbeest M (2016) What’s in a name? Measuring prominence, and its impact on organic traffic from search engines. Inform. Econom. Policy 34:44–57.Crossref, Google Scholar
• Berman R, Katona Z (2013) The role of search engine optimization in search marketing. Marketing Sci. 32(4):644–651.Link, Google Scholar
• Berry S, Levinsohn J, Pakes A (1995) Automobile prices in market equilibrium. Econometrica 63(4):841–890.Crossref, Google Scholar
• Blake T, Nosko C, Tadelis S (2015) Consumer heterogeneity and paid search effectiveness: A large scale field experiment. Econometrica 83:155–174.Crossref, Google Scholar
• Chan T, Park Y (2015) Consumer search activities and the value of ad positions in sponsored search advertising. Marketing Sci. 34(4):606–623.Link, Google Scholar
• Chen Y, Yao S (2016) Sequential search with refinement: Model and application with click-stream data. Management Sci. 34(4): 606–623.Google Scholar
• Choi H, Mela C (2016) Online marketplace advertising. Working paper, Duke University, Durham, NC.Crossref, Google Scholar
• Cross R, Higbie J, Cross D (2009) Revenue management’s renaissance: A rebirth of the art and science of profitable revenue generation. Cornell Hospitality Quart. 50(1):56–81.Crossref, Google Scholar
• De Corniere A, Taylor G (2014) Quality provision in the presence of a biased intermediary. Working paper, University of Oxford, Oxford, UK.Crossref, Google Scholar
• De los Santos B, Koulayev S (2017) Optimizing click-through in online rankings with endogenous search refinement. Marketing Sci. 36(4):542–564.Link, Google Scholar
• Einav L, Kuchler T, Levin J, Sundaresan N (2015) Assessing sale strategies in online markets using matched listings. Amer. Econom. J.: Microecon. 7(2):215–247.Crossref, Google Scholar
• Ghose A, Yang S (2009) An empirical analysis of search engine advertising: Sponsored search in electronic markets. Management Sci. 55(10):1605–1622.Link, Google Scholar
• Ghose A, Goldfarb A, Han SP (2012c) How is the mobile Internet different? Search costs and local activities. Inform. System Res. 24(3):613–631.Link, Google Scholar
• Ghose A, Ipeirotis P, Li B (2012a) Designing ranking systems for hotels on travel search engines by mining user-generated and crowd-sourced content. Marketing Sci. 31(3):492–520.Link, Google Scholar
• Ghose A, Ipeirotis P, Li B (2012b) Surviving social media overload: Predicting consumer footprints on product search engines. Working paper, New York University, New York.Google Scholar
• Ghose A, Ipeirotis P, Li B (2014) Examining the impact of ranking on consumer behavior and search engine revenue. Management Sci. 60(7):1632–1654.Link, Google Scholar
• Hagiu A, Jullien B (2011) Why do intermediaries divert search? RAND J. Econom. 42(2):337–362.Crossref, Google Scholar
• Hausman J (1996) Valuation of new goods under perfect and imperfect competition. Bresnahan T, Gordon R, eds. The Economics of New Goods, Studies in Income and Wealth (National Bureau of Economic Research, Cambridge, MA), 207–248.Google Scholar
• Honka E (2014) Quantifying search and switching costs in the U.S. auto insurance industry. RAND J. Econom. 45(4):847–884.Crossref, Google Scholar
• Honka E, Chintagunta P (2016) Simultaneous or sequential? Search strategies in the U.S. auto insurance industry. Marketing Sci. 36(1):21–42.Link, Google Scholar
• Hortaçsu A, Syverson C (2004) Product differentiation, search costs, and competition in the mutual fund industry: A case study of S&P 500 index funds. Quart. J. Econom. 119(2):403–456.Crossref, Google Scholar
• Jerath K, Ma L, Park Y, Srinivasan K (2011) A position paradox in sponsored search auctions. Marketing Sci. 30(4):612–627.Link, Google Scholar
• Jeziorski P, Moorthy S (2018) Advertiser prominence effects in search advertising. Management Sci. 64(3):1365–1383.Link, Google Scholar
• Jeziorski P, Segal I (2015) What makes them click: Empirical analysis of consumer demand for search advertising. Amer. Econom. J.: Microeconomics 7(3):24–53.Crossref, Google Scholar
• Kim JB, Albuquerque P, Bronnenberg BJ (2010) Online demand under limited consumer search. Marketing Sci. 29(6):1001–1023.Link, Google 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.Link, Google Scholar
• Koulayev S (2014) Search for differentiated products: Identification and estimation. RAND J. Econom. 45(3):553–575.Crossref, Google Scholar
• Manchanda P, Rossi P, Chintagunta P (2004) Response modeling with nonrandom marketing-mix variables. J. Marketing Res. 41(4):467–478.Crossref, Google Scholar
• Manski C, Lerman S (1981) On the use of simulated frequencies to approximate choice probabilities. Manski C, McFadden D, eds. Structural Analysis of Discrete Data with Econometric Applications (MIT Press, Cambridge, MA), 305–319.Google Scholar
• Mauri AG (2012) Hotel Revenue Management: Principles and Practices (Pearson, Milan).Google Scholar
• McFadden D (1989) A method of simulating moments for estimation of discrete response models without numerical integration. Econometrica 57(5):995–1026.Crossref, Google Scholar
• Nair HS, Misra S, Hornbuckle WJ IV, Mishra R, Acharya A (2017) Big data and marketing analytics in gaming: Combining empirical models and field experimentation. Marketing Sci. 36(5):699–725.Link, Google Scholar
• Narayanan S, Kalyanam K (2015) Position effects in search advertising and their moderators: A regression discontinuity approach. Marketing Sci. 34(3):388–407.Link, Google Scholar
• Rutz O, Bucklin R, Sonnier G (2012) A latent instrumental variables approach to modeling keyword conversion in paid search advertising. J. Marketing Res. 49(3):306–319.Crossref, Google Scholar
• Train K (2009) Discrete Choice Methods with Simulation (Cambridge University Press, Cambridge, UK).Crossref, Google Scholar
• Weitzman M (1979) Optimal search for the best alternative. Econometrica 47(3):641–654.Crossref, Google Scholar
• Yang S, Ghose A (2010) Analyzing the relationship between organic and sponsored search advertising: Positive, negative, or zero interdependence? Marketing Sci. 29(4):602–623.Link, Google Scholar
• Yao S, Mela C (2011) A dynamic model of sponsored search advertising. Marketing Sci. 30(3):447–468.Link, Google Scholar