Efficient Estimation of Network Games of Incomplete Information: Application to Large Online Social Networks

References

• Ahn D-Y, Duan JA, Mela CF (2015) Managing user-generated content: A dynamic rational expectations equilibrium approach. Marketing Sci. 35(2):284–303.Link, Google Scholar
• Ascarza E, Ebbes P, Netzer O, Danielson M (2017) Beyond the target customer: Social effects of customer relationship management campaigns. J. Marketing Res. 54(3):347–363.Crossref, Google Scholar
• Bainbridge WS (2007) The scientific research potential of virtual worlds. Science 317(5837):472–476.Crossref, Google Scholar
• Bajari P, Hong H, Krainer J, Nekipelov D (2010) Estimating static models of strategic interactions. J. Bus. Econom. Statist. 28(4):469–482.Crossref, Google Scholar
• Ballings M, Van den Poel D (2015) CRM in social media: Predicting increases in Facebook usage frequency. Eur. J. Oper. Res. 244(1):248–260.Crossref, Google Scholar
• Blondel VD, Guillaume J-L, Lambiotte R, Lefebvre E (2008) Fast unfolding of communities in large networks. J. Statist. Mechanics Theory Exp. (10):P10008.Crossref, Google Scholar
• Brock WA, Durlauf SN (2001) Discrete choice with social interactions. Rev. Econom. Stud. 68(2):235–260.Crossref, Google Scholar
• Carlsson H, Damme EV (1993) Global games and equilibrium selection. Econometrica 61(5):989–1018.Crossref, Google Scholar
• Chen X, van der Lans R, Phan TQ (2017) Uncovering the importance of relationship characteristics in social networks: Implications for seeding strategies. J. Marketing Res. 54(2):187–201.Crossref, Google Scholar
• Csardi G, Nepusz T (2006) The igraph software package for complex network research. Internat. J. Complex Systems 1695(5):1–9.Google Scholar
• De Giorgi G, Pellizzari M, Redaelli S (2010) Identification of social interactions through partially overlapping peer groups. Amer. Econom. J. Appl. Econom. 2(2):241–275.Crossref, Google Scholar
• Drèze X, Bonfrer A (2009) Moving from customer lifetime value to customer equity. Quant. Marketing Econom. 7(3):289–320.Crossref, Google Scholar
• Ellickson PB, Misra S (2011) Structural workshop paper-estimating discrete games. Marketing Sci. 30(6):997–1010.Link, Google Scholar
• Fortunato S (2010) Community detection in graphs. Phys. Rep. 3(486):75–174.Crossref, Google Scholar
• Fudenberg D, Levine DK (1998) The Theory of Learning in Games (MIT Press Books, Cambridge, MA).Google Scholar
• Galeotti A, Goyal S, Jackson MO, Vega-Redondo F, Yariv L (2010) Network games. Rev. Econom. Stud. 77(1):218–244.Crossref, Google Scholar
• Gelper S, van der Lans R, van Bruggen G (2020) Competition for attention in online social networks: Implications for seeding strategies. Management Sci., ePub ahead of print June 30, https://doi.org/10.1287/mnsc.2019.3564.Google Scholar
• Gillen BJ, Montero S, Moon HR, Shum M (2019) BLP-2LASSO for aggregate discrete choice models with rich covariates. Econom. J. 22(3):262–281.Crossref, Google Scholar
• Girvan M, Newman ME (2002) Community structure in social and biological networks. Proc. National Acad. Sci. USA 99(12):7821–7826.Crossref, Google Scholar
• Glaeser E, Scheinkman J (2001) Measuring social interactions. Durlauf SN, Young PH, eds. Social Dynamics (MIT Press, Cambridge, MA), 83–132.Google Scholar
• Goldsmith-Pinkham P, Imbens GW (2013) Social networks and the identification of peer effects. J. Bus. Econom. Statist. 31(3):253–264.Crossref, Google Scholar
• Greene W (2004) The behaviour of the maximum likelihood estimator of limited dependent variable models in the presence of fixed effects. Econom. J. 7(1):98–119.Crossref, Google Scholar
• Gruber J, Köszegi B (2001) Is addiction “rational”? Theory and evidence. Quart. J. Econom. 116(4):1261–1303.Crossref, Google Scholar
• Gupta S, Mela CF (2008) What is a free customer worth? Armchair calculations of nonpaying customers’ value can lead to flawed strategies. Harvard Bus. Rev. 86(11):102–109.Google Scholar
• Gupta S, Hanssens D, Hardie B, Kahn W, Kumar V, Lin N, Ravishanker N, Sriram S (2006) Modeling customer lifetime value. J. Service Res. 9(2):139–155.Crossref, Google Scholar
• Hansen LP, Sargent TJ, Heaton J, Marcet A, Roberds W (1991) Rational Expectations Econometrics (Westview Press, Boulder, CO).Google Scholar
• Hartmann W (2010) Demand estimation with social interactions and the implications for targeted marketing. Marketing Sci. 29(4):585–601.Link, Google Scholar
• Hausman J (1978) Specification tests in econometrics. Econometrica 46(6):1251–1272.Crossref, Google Scholar
• Hinz O, Skiera B, Barrot C, Becker JU (2011) Seeding strategies for viral marketing: An empirical comparison. J. Marketing 75(6):55–71.Crossref, Google Scholar
• Hogan JE, Lemon KN, Libai B (2003) Quantifying the ripple: Word-of-mouth and advertising effectiveness. J. Advertising Res. 44(3):271–280.Crossref, Google Scholar
• Hotz VJ, Miller RA (1993) Conditional choice probabilities and the estimation of dynamic models. Rev. Econom. Stud. 60(3):497–529.Crossref, Google Scholar
• Ibanez MR, Clark JR, Huckman RS, Staats BR (2018) Discretionary task ordering: Queue management in radiological services. Management Sci. 64(9):4389–4407.Link, Google Scholar
• Imai S, Jain N, Ching A (2009) Bayesian estimation of dynamic discrete choice models. Econometrica 77(6):1865–1899.Crossref, Google Scholar
• Imbens GW (2014) Instrumental variables: An econometrician’s perspective. Statist. Sci. 29(3):323–358.Crossref, Google Scholar
• Kang H, Zhang A, Cai TT, Small DS (2016) Instrumental variables estimation with some invalid instruments and its application to Mendelian randomization. J. Amer. Statist. Assoc. 111(513):132–144.Crossref, Google Scholar
• Kass RE, Raftery AE (1995) Bayes factors. J. Amer. Statist. Assoc. 90(430):773–795.Crossref, Google Scholar
• Kumar V, Reinartz W (2012) Customer Relationship Management: Concept, Strategy, and Tools (Springer Science & Business Media, Berlin).Crossref, Google Scholar
• Lancichinetti A, Fortunato S (2009) Community detection algorithms: A comparative analysis. Phys. Rev. E 80(5):056117.Crossref, Google Scholar
• Lee L-f, Li J, Lin X (2014) Binary choice models with social network under heterogeneous rational expectations. Rev. Econom. Statist. 96(3):402–417.Crossref, Google Scholar
• Leskovec J, Lang KJ, Mahoney M (2010) Empirical comparison of algorithms for network community detection Proc. 19th Internat. Conf. World Wide Web (Association for Computing Machinery, New York), 631–640.Google Scholar
• Lin X (2010) Identifying peer effects in student academic achievement by spatial autoregressive models with group unobservables. J. Labor Econom. 28(4):825–860.Crossref, Google Scholar
• Magnac T, Thesmar D (2002) Identifying dynamic discrete decision processes. Econometrica 70(2):801–816.Crossref, Google Scholar
• Manski CF (1993) Identification of endogenous social effects: The reflection problem. Rev. Econom. Stud. 60(3):531–544.Crossref, Google Scholar
• Mazzeo MJ (2002) Product choice and oligopoly market structure. RAND J. Econom. 33(2):221–242.Crossref, Google Scholar
• Misra S (2013) Markov chain Monte Carlo for incomplete information discrete games. Quant. Marketing Econom. 11(1):117–153.Crossref, Google Scholar
• Myerson RB (1978) Refinements of the Nash equilibrium concept. Internat. J. Game Theory 7(2):73–80.Crossref, Google Scholar
• Narayanan S, Nair HS (2013) Estimating causal installed-base effects: A bias-correction approach. J. Marketing Res. 50(1):70–94.Crossref, Google Scholar
• Newman M (2006) Modularity and community structure in networks. Proc. Natl. Acad. Sci. USA 103(23):8577–8582.Crossref, Google Scholar
• Newman ME, Clauset A (2016) Structure and inference in annotated networks. Nat. Commun. 7(1):1–11.Crossref, Google Scholar
• Nicoletti C, Salvanes KG, Tominey E (2018) The family peer effect on mothers’ labor supply. Amer. Econom. J. Appl. Econom. 10(3):206–234.Crossref, Google Scholar
• Petrin AK, Train K (2010) A control function approach to endogeneity in consumer choice models. J. Marketing Res. 47(1):3–13.Crossref, Google Scholar
• Rivers D, Vuong Q (1988) Limited information estimators and exogeneity tests for simultaneous probit models. J. Econometrics 39(3):347–366.Crossref, Google Scholar
• Ronhovde P, Nussinov Z (2009) Multiresolution community detection for megascale networks by information-based replica correlations. Phys. Rev. E 80(1):016109.Crossref, Google Scholar
• Rosvall M, Bergstrom CT (2008) Maps of random walks on complex networks reveal community structure. Proc. Natl. Acad. Sci. USA 105(4):1118–1123.Crossref, Google Scholar
• Rust JP (1987) Optimal replacement of GMC bus engines: An empirical model of Harold Zurcher. Econometrica 55(5):999–1033.Crossref, Google Scholar
• Scott DW, Sain SR (2005) Multi-dimensional density estimation. Rao CR, Wegman EJ, Solka JL, eds. Handbook of Statistics, vol. 23 (North-Holland Publishing Co., Amsterdam), 229–261.Google Scholar
• Seim K (2006) An empirical model of firm entry with endogenous product‐type choices. RAND J. Econom. 37(3):619–640.Crossref, Google Scholar
• Shriver SK, Nair HS, Hofstetter R (2013) Social ties and user-generated content: Evidence from an online social network. Management Sci. 59(6):1425–1443.Link, Google Scholar
• Soetevent AR, Kooreman P (2007) A discrete-choice model with social interactions: With an application to high school teen behavior. J. Appl. Econometrics 22(3):599–623.Crossref, Google Scholar
• Stafford TM (2015) What do fishermen tell us that taxi drivers do not? An empirical investigation of labor supply. J. Labor Econom. 33(3):683–710.Crossref, Google Scholar
• Staiger D, Stock JH (1997) Instrumental variables regression with weak instruments. Econometrica 65(3):557–586.Crossref, Google Scholar
• Su CL, Judd KL (2012) Constrained optimization approaches to estimation of structural models. Econometrica 80(5):2213–2230.Crossref, Google Scholar
• Sun Y, Ishihara M (2018) A computationally efficient fixed point approach to structural estimation of aggregate demand. J. Econometrics 208(2):563–584.Crossref, Google Scholar
• Toker-Yildiz K, Trivedi M, Choi J, Chang SR (2017) Social interactions and monetary incentives in driving consumer repeat behavior. J. Marketing Res. 54(3):364–380.Crossref, Google Scholar
• van der Lans R, van Bruggen G, Eliashberg J, Wierenga B (2010) A viral branching model for predicting the spread of electronic word of mouth. Marketing Sci. 29(2):348–365.Link, Google Scholar
• Vitorino MA (2012) Empirical entry games with complementarities: An application to the shopping center industry. J. Marketing Res. 49(2):175–191.Crossref, Google Scholar
• Wooldridge JM (2010) Econometric Analysis of Cross Section and Panel Data (MIT Press, Cambridge, MA).Google Scholar
• Yang J, McAuley J, Leskovec J (2013) Community detection in networks with node attributes. Xiong H, Karypis G, Thuraisingham B, Cook D, Wu X, eds. 2013 IEEE 13th Internat. Conf. Data Mining (IEEE, Piscataway, NJ), 1151–1156.Google Scholar
• Zhu T, Singh V (2009) Spatial competition with endogenous location choices: An application to discount retailing. Quant. Marketing Econom. 7(1):1–35.Crossref, Google Scholar