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Section 13.6

Data

coff.dat (ASCII, tab delimited, variable names)

Variables:
indidentifier for choice situation
altalternative (see Table 13.9)
idsubject identifier
setchoice set (see Table 13.9)
choicealternative chosen (1,2,3)
brand1dummy for Phillips brand
brand2dummy for Braun brand
cap1dummy for capacity of 6 cups
cap2dummy for capacity of 10 cups
price1dummy for price being 39
price2dummy for price being 69
filterdummy for filter
thermdummy for thermos
chdummy for alternative chosen (1=yes, 0=no)

Dataset for predictions in Table 13.12

coffpred.dat (ASCII, tab delimited, variable names)

Variables (same as coff.dat):
ind alt id set brand1 brand2 cap1 cap2 price1 price2 filter therm ch

Some Stata commands

* read data
insheet using coff.dat, clear

* do-file available: coff.do
NOTE THAT THERE ARE ERRORS IN TABLE 13.10; see remarks

Acknowledgement

We would like to thank Michel Wedel for making the data available.

Reference

Haaijer, M. E., Wedel. M., Vriens, M. and Wansbeek, T. J. (1998). Utility covariances and context effects in conjoint MNP models. Marketing Science 17, 236-252.

Skrondal, A. and Rabe-Hesketh, S. (2004).Generalized Latent Variable Modeling: Multilevel, Longitudinal and Structural Equation Models. Boca Raton, FL: Chapman & Hall/CRC.