Multiple-Constraint Choice Models with Corner and Interior Solutions

Published Online:https://doi.org/10.1287/mksc.1110.0636

References

  • Becker G. S. A theory of the allocation of time. Econom. J. (1965) 75(299):493–517Google Scholar
  • Bell D. R., Hilber C. A. L. An empirical test of the theory of sales: Do household storage constraints affect consumer and store behavior? Quant. Marketing Econom. (2006) 4(2):87–117CrossrefGoogle Scholar
  • Bhat C. R. A multiple discrete-continuous extreme value model: Formulation and application to discretionary time-use decisions. Transportation Res. (2005) 39(8):679–707CrossrefGoogle Scholar
  • Bhat C. R. The multiple discrete-continuous extreme value (MDCEV) model: Role of utility function parameters, identification considerations, and model extensions. Transportation Res. (2008) 42(3):274–303CrossrefGoogle Scholar
  • Bockstael N. E., Strand I. E., Hanemann W. M. Time and the recreational demand model. Amer. J. Agricultural Econom. (1987) 69(2):293–302CrossrefGoogle Scholar
  • Bronnenberg B. J., Vanhonacker W. R. Limited choice sets, local price response, and implied measures of price competition. J. Marketing Res. (1996) 33(2):163–173CrossrefGoogle Scholar
  • Deaton A., Muellbauer J.Economics and Consumer Behavior (1980) (Cambridge University Press, Cambridge, UK) CrossrefGoogle Scholar
  • Dubé J.-P. Multiple discreteness and product differentiation: Demand for carbonated soft drinks. Marketing Sci. (2004) 23(1):66–81LinkGoogle Scholar
  • Gilbride T. J., Allenby G. M. A choice model with conjunctive, disjunctive, and compensatory screening rules. Marketing Sci. (2004) 23(3):391–406LinkGoogle Scholar
  • Hanemann W. M., Aronsson T., Axelsson R., Brännlund R. Consumer demand with several linear constraints: A global analysis. The Theory and Practice of Environmental and Resource Economics: Essays in Honour of Karl-Gustaf Löfgren (2006) (Edward Elgar, Cheltenham, UK) 61–84Google Scholar
  • Hausman J. A. The econometrics of nonlinear budget sets. Econometrica (1985) 53(6):1255–1282CrossrefGoogle Scholar
  • Hendel I., Nevo A. Sales and consumer inventory. RAND J. Econom. (2006) 37(3):543–561CrossrefGoogle Scholar
  • Hermalin B. E., Isen A. M. A model of the effect of affect on economic decision making. Quant. Marketing Econom. (2008) 6(1):17–40CrossrefGoogle Scholar
  • Kim J., Allenby G. M., Rossi P. E. Modeling consumer demand for variety. Marketing Sci. (2002) 21(3):229–250LinkGoogle Scholar
  • Kim J., Allenby G. M., Rossi P. E. Product attributes and models of multiple discreteness. J. Econometrics (2007) 138(1):208–230CrossrefGoogle Scholar
  • Kockelman K. M., Krishnamurthy S. A new approach for travel demand modeling: Linking Roy's Identity to discrete choice. Transportation Res. (2004) 38(5):459–475CrossrefGoogle Scholar
  • Moffitt R. The econometric of piecewise-linear budget constraints: A survey and exposition of the maximum likelihood method. J. Bus. Econom. Statist. (1986) 4(3):317–328Google Scholar
  • Ofek E., Srinivasan V. How much does the market value an improvement in a product attribute? Marketing Sci. (2002) 21(4):398–411LinkGoogle Scholar
  • Parizat S., Shachar R. When Pavarotti meets Harry Potter at the Super Bowl. (2010) . Working paper, Tel Aviv University, Tel Aviv, Israel. http://ssrn.com/abstract=1711183CrossrefGoogle Scholar
  • von Haefen R. H., Phaneuf D. J. Estimating preferences for outdoor recreation: A comparison of continuous and count data demand system frameworks. J. Environ. Econom. Management (2003) 45(3):612–630CrossrefGoogle Scholar
INFORMS site uses cookies to store information on your computer. Some are essential to make our site work; Others help us improve the user experience. By using this site, you consent to the placement of these cookies. Please read our Privacy Statement to learn more.