Estimating the Interdependence of Television Program Viewership Between Spouses: A Bayesian Simultaneous Equation Model
Published Online:1 Jul 2006https://doi.org/10.1287/mksc.1060.0195
References
- . Modeling movie life cycles and market share. Marketing Sci. (2005) 24(3):508–517Link, Google Scholar
- Marketing models of consumer heterogeneity. J. Econometrics (1998) 89(1/2):57–78Crossref, Google Scholar
- . Advanced Econometrics (1985) (Harvard University Press, Cambridge, MA) 360–364Google Scholar
- . Understanding the role of preference revision and concession in group decisions. J. Marketing Res. (2002) 39(3):336–349Crossref, Google Scholar
- Measuring the influence of individual preference structures in group decision making. J. Marketing Res. (1999) 36(4):476–487Crossref, Google Scholar
- Spatial patterns in household demand. Econometrica (1991) 59(4):953–965Crossref, Google Scholar
- . Bayesian inference in the Tobit censored regression model. J. Econometrics (1992) 51:79–90Crossref, Google Scholar
- Measures of relative influence in couples: A typology and predictions for accuracy. Adv. Consumer Res. (1989) 16(1):659–664Google Scholar
- Perceptions of relative influence: Formation and measurement. J. Marketing Res. (1991) 28(2):125–136Crossref, Google Scholar
- Optimizing television program schedules using choice modeling. J. Marketing Res. (2001) 38(3):298–312Crossref, Google Scholar
- Income, Saving, and the Theory of Consumer Behavior (1949) (Harvard University Press, Cambridge, MA) Google Scholar
- . The motion picture industry: Critical issues in practice, current research and new research directions. Marketing Sci. (2005) 25(6). ForthcomingLink, Google Scholar
- Sampling based approaches to calculating marginal densities. J. Amer. Statist. Assoc. (1990) 85(410):398–409Crossref, Google Scholar
- . Predicting TV viewership. J. Advertising Res. (1980) 20(4):85–92Google Scholar
- . Using online conversations to study word-of-mouth communication. Marketing Sci. (2004) 23(4):545–560Link, Google Scholar
- . Spatial competition in the network television industry. RAND J. Econom. (2001) 32(4):624–656Crossref, Google Scholar
- Predicting program shares in new time slots. J. Advertising Res. (1984) 24(2):9–17Google Scholar
- Scheduling of network television programs. Management Sci. (1980) 26(4):354–370Link, Google Scholar
- A probabilistic choice model for marketing segmentation and elasticity structure. J. Marketing Res. (1989) 26(4):370–390Crossref, Google Scholar
- . Interdependent preferences: An econometric analysis. J. Appl. Econometrics (1997) 12(6):665–686Crossref, Google Scholar
- Modeling heterogeneity and state dependence in consumer choice behavior. J. Bus. Econom. Statist. (1997) 15(3):310–327Crossref, Google Scholar
- The lead-lag puzzle of demand and distribution: A graphical method applied to movies. Marketing Sci. (2005) 24(4):635–645Link, Google Scholar
- . Conjoint models of family decision making. Internat. J. Res. Marketing (1988) 5(3):185–198Crossref, Google Scholar
- . Bandwagon, snob, and veblen effects in the theory of consumer’s demand. Quart. J. Econom. (1950) 64(2):183–207Crossref, Google Scholar
- . Bayesian inference in a simultaneous equation model with limited dependent variables. J. Econometrics (1998) 85:387–400Crossref, Google Scholar
- Is having more channels really better? A model of competition among commercial television broadcasters. Marketing Sci. (2004) 23(1):120–133Link, Google Scholar
- . The asymmetric information model of state dependence. Marketing Sci. (2002) 21(4):435–454Link, Google Scholar
- Approximating Bayesian inference with the weighted likelihood bootstrap. J. Roy. Statist. Soc. (B) (1994) 56(1):3–48Google Scholar
- An audience flow model of television viewing choice. Marketing Sci. (1984) 3(2):113–124Link, Google Scholar
- Viewer preference segmentation and viewing choice models for network television. J. Advertising (1992) 21(1):1–18Crossref, Google Scholar
- Cast demographics, unobserved segments and heterogeneous switching costs in a television viewing choice model. J. Marketing Res. (2000) 37(2):173–186Crossref, Google Scholar
- , LeSage James P., Pace R. Kelley. A Bayesian probit model with spatial dependencies. Spatial and Spatiotemporal Econometrics. Advances in Econometrics (2004) 18(Elsevier Science, Oxford, UK) 127–160Crossref, Google Scholar
- . A temporal dynamic model of spousal family purchase-decision behavior. J. Marketing Res. (2003) 40(3):268–281Crossref, Google Scholar
- The calculation of posterior distribution by data augmentation. J. Amer. Statist. Assoc. (1987) 82:528–550Crossref, Google Scholar
- . Estimation of relationships for limited dependent variables. Econometrica (1958) 26(1):24–36Crossref, Google Scholar
- Modeling interdependent consumer preferences. J. Marketing Res. (2003) 40(3):282–294Crossref, Google Scholar
- . An Introduction to Bayesian Inference in Econometrics (1971) (Wiley-Interscience, New York) Google Scholar

