"Methods to Estimate Discrete Choice Models with Stated and Revealed
Preferences"

Moshe Ben-Akiva and Taka Morikawa

Revealed preference (RP) data and stated preference (SP) data have
complementary characteristics for model estimation.  This presentation
proposes a combined estimation method to enhance the advantages of both
data types.  We discuss the method and the practical considerations for its
application, and introduce a new method of considering serial correlation
of RP and SP data.  Empirical case studies will also be presented.