The No—Choice Alternative in Conjoint Choice Experiments

Akaike H. . (1973) Information theory and an extension of the maximum likelihood principle. In: Petrov B.N. , & Cski F. (eds) 2nd International Symposium on Information Theory. Budapest: Akadmiai Kiad, pp. 267–281.

Baron J. , & Ritov I. . (1994) Reference points and omission bias. Organizational Behavior and Human Decision Processes, 59, September, pp. 475–498.

Batsell R.R. , & Louviere J.J. (1991) Experimental analysis of choice. Marketing Letters, 2, 3, pp. 199–214.

BenAkiva M. , & Lerman S.R. (1985) Discrete Choice Analysis: Theory and Application to Travel Demand. Cambridge, MA: The MIT Press.

BrschSupan A. . (1990) On the compatibility of Nested Logit models with utility maximization, Journal of Econometrics, 46, pp. 373–388.

Carroll J.D. , & Green P.E. (1995) Psychometric methods in marketing research: Part 1, Conjoint analysis. Journal of Marketing Research, 32, 4, pp. 385–391.

Carson R.T. , Louviere J.J. , Anderson D.A. , Arabie P. , Bunch D.S. , Hensher D.A. , Johnson R.M. , Kuhfeld W.F. , Steinberg D. , Swait J. , Timmermans H. , & Wiley J.B. (1994) Experimental analysis of choice. Marketing Letters, 5, 4, pp. 351–368.

Dhar R. . (1997) Consumer preference for a nochoice option. Journal of Consumer Research, 24, September, pp. 215–231.

Elrod T. , Louviere J.J. , & Davey K.S. (1992) An empirical comparison of ratingsbased and choicebased conjoint models. Journal of Marketing Research, 29, 3, pp. 368–377.

Huber J. , & Zwerina K. . (1996) The importance of utility balance in efficient choice designs. Journal of Marketing Research, 33, 3, pp. 307–317.

Johnson R.M. , & Orme B.K. (1996) How Many Questions Should You Ask in ChoiceBased Conjoint Studies. Sequim, WA Sawtooth Software.

Louviere J.J. (1988) Conjoint analysis modelling of stated preferences. A review of theory, methods, recent developments and external validity. Journal of Transport Economics and Policy, January, pp. 93–119.

Louviere J.J. , & Woodworth G. . (1983) Design and analysis of simulated consumer choice or allocation experiments: an approach based on aggregate data. Journal of Marketing Research, 20, 4, pp. 350–367.

McFadden D. . (1981) Econometric models of probabilistic choice. In Manski C.F. , & McFadden D. (eds) Structural Analysis of Discrete Data with Econometric Applications. Cambridge, MA: The MIT Press, pp. 198–272.

McFadden D. . (1976) Quantal choice analysis: a survey. Annals of Economic and Social Measurement, 5, 4, pp. 363–390.

Schwarz G. . (1978) Estimating the dimension of a model. Annals of Statistics, 6, pp. 461–464.