We develop a procedure to collect experimental choice data for estimating consumer preferences with a special focus on consumer price evaluations. For this purpose we employ a heteroskedastic mixed logit model that measures the effect of the way prices are specified on the variance of choice. Our procedure is based on optimal design ideas from the statistics literature and on some algorithms for constructing choice designs published in marketing journals. In an empirical application on mobile phone preferences we find evidence that the way prices are specified significantly affects the variance of choice. In a simulation study we show that our design is significantly more efficient than randomly generated designs., which can be regarded as equivalent to most commonly used experimental designs in the literature.

Bayesian design, demand, heterogeneity, quasi-random, task complexity
Discrete Regression and Qualitative Choice Models; Discrete Regressors (jel C25), Methodology for Collecting, Estimating, and Organizing Microeconomic Data (jel C81), Design of Experiments (jel C9)
hdl.handle.net/1765/1203
Econometric Institute Research Papers
Report / Econometric Institute, Erasmus University Rotterdam
Erasmus School of Economics

Sándor, Z, & Franses, Ph.H.B.F. (2004). Experimental investigation of consumer price evaluations (No. EI 2004-12). Report / Econometric Institute, Erasmus University Rotterdam. Retrieved from http://hdl.handle.net/1765/1203