IDEAS home Printed from https://ideas.repec.org/r/inm/ormksc/v25y2006i4p336-349.html
   My bibliography  Save this item

Estimating the Interdependence of Television Program Viewership Between Spouses: A Bayesian Simultaneous Equation Model

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Igari, Ryosuke, 2025. "Modelling viewing patterns of serial TV dramas considering live viewing and time shifting," Journal of choice modelling, Elsevier, vol. 55(C).
  2. Jonathan Z. Zhang, 2019. "Dynamic customer interdependence," Journal of the Academy of Marketing Science, Springer, vol. 47(4), pages 723-746, July.
  3. Kenneth C. Wilbur, 2008. "A Two-Sided, Empirical Model of Television Advertising and Viewing Markets," Marketing Science, INFORMS, vol. 27(3), pages 356-378, 05-06.
  4. Jorge Silva-Risso & Irina Ionova, 2008. "—A Nested Logit Model of Product and Transaction-Type Choice for Planning Automakers' Pricing and Promotions," Marketing Science, INFORMS, vol. 27(4), pages 545-566, 07-08.
  5. Sridhar Narayanan, 2013. "Bayesian estimation of discrete games of complete information," Quantitative Marketing and Economics (QME), Springer, vol. 11(1), pages 39-81, March.
  6. David Boto-García & Petr Mariel, 2024. "How well do couples know their partners’ preferences? Experimental evidence from joint recreation," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 41(3), pages 657-686, October.
  7. Martijn G. de Jong & Jan-Benedict E. M. Steenkamp & Bernard P. Veldkamp, 2009. "A Model for the Construction of Country-Specific Yet Internationally Comparable Short-Form Marketing Scales," Marketing Science, INFORMS, vol. 28(4), pages 674-689, 07-08.
  8. Jessica Clark & Jean-François Paiement & Foster Provost, 2023. "Who’s Watching TV?," Information Systems Research, INFORMS, vol. 34(4), pages 1622-1640, December.
  9. Yan Chen & Youran Qi & Qing Liu & Peter Chien, 2018. "Sequential sampling enhanced composite likelihood approach to estimation of social intercorrelations in large-scale networks," Quantitative Marketing and Economics (QME), Springer, vol. 16(4), pages 409-440, December.
  10. Irina R. KANCHEVA, 2017. "Gender Role Distribution In Residential Real Estate Family Decision Making," Network Intelligence Studies, Romanian Foundation for Business Intelligence, Editorial Department, issue 10, pages 123-130, December.
  11. Hee Mok Park & Puneet Manchanda, 2015. "When Harry Bet with Sally: An Empirical Analysis of Multiple Peer Effects in Casino Gambling Behavior," Marketing Science, INFORMS, vol. 34(2), pages 179-194, March.
  12. Singh, Sonika & Ratchford, Brian T. & Prasad, Ashutosh, 2014. "Offline and Online Search in Used Durables Markets," Journal of Retailing, Elsevier, vol. 90(3), pages 301-320.
  13. Peter Lenk, 2014. "Bayesian estimation of random utility models," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 20, pages 457-497, Edward Elgar Publishing.
  14. Keita Kinjo & Shinya Sugawara, 2014. "An Empirical Analysis for a Case-based Decision to Watch Japanese TV dramas," CIRJE F-Series CIRJE-F-940, CIRJE, Faculty of Economics, University of Tokyo.
  15. Sridhar Narayanan, 2013. "Bayesian estimation of discrete games of complete information," Quantitative Marketing and Economics (QME), Springer, vol. 11(1), pages 39-81, March.
  16. Yu, Dalei & Tang, Nian-Sheng & Shi, Yang, 2025. "Adaptively aggregated forecast for exponential family panel model," International Journal of Forecasting, Elsevier, vol. 41(2), pages 733-747.
  17. Foutz, Natasha Zhang, 2017. "Entertainment Marketing," Foundations and Trends(R) in Marketing, now publishers, vol. 10(4), pages 215-333, October.
  18. Vishal Narayan & Vithala R. Rao & Carolyne Saunders, 2011. "How Peer Influence Affects Attribute Preferences: A Bayesian Updating Mechanism," Marketing Science, INFORMS, vol. 30(2), pages 368-384, 03-04.
  19. Jiang, Yaxi, 2024. "The effects of removing gender-based price discrimination on movie demand: Estimates using smartphone location data," International Journal of Industrial Organization, Elsevier, vol. 97(C).
  20. Jang, Sungha & Prasad, Ashutosh & Ratchford, Brian T., 2016. "Consumer spending patterns across firms and categories: Application to the size- and share-of-wallet," International Journal of Research in Marketing, Elsevier, vol. 33(1), pages 123-139.
  21. Wesley Hartmann & Puneet Manchanda & Harikesh Nair & Matthew Bothner & Peter Dodds & David Godes & Kartik Hosanagar & Catherine Tucker, 2008. "Modeling social interactions: Identification, empirical methods and policy implications," Marketing Letters, Springer, vol. 19(3), pages 287-304, December.
  22. Wesley R. Hartmann, 2010. "Demand Estimation with Social Interactions and the Implications for Targeted Marketing," Marketing Science, INFORMS, vol. 29(4), pages 585-601, 07-08.
  23. Moon, Sangkil & Azizi, Kathryn, 2013. "Finding Donors by Relationship Fundraising," Journal of Interactive Marketing, Elsevier, vol. 27(2), pages 112-129.
  24. Kosuke Uetake & Nathan Yang, 2020. "Inspiration from the “Biggest Loser”: Social Interactions in a Weight Loss Program," Marketing Science, INFORMS, vol. 39(3), pages 487-499, May.
  25. Belén Pérez-Sánchez & Martín González & Carmen Perea & Jose J. López-Espín, 2021. "A New Computational Method for Estimating Simultaneous Equations Models Using Entropy as a Parameter Criteria," Mathematics, MDPI, vol. 9(7), pages 1-9, March.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.