PANEL ESTIMATORS TO COMBINE REVEALED AND STATED PREFERENCE DICHOTOMOUS CHOICE DATA

Combining stated and revealed preference data often involves multiple responses from the same individual. Panel estimators are appropriate t o jointly model the decision to actually visit at current trip costs, the intention to visit at hypothetically higher trip costs, and the in tention to visit at proposed quality levels. To incorporate data on al l three choices, the random effects probit model is used to estimate t he economic value of changes in instream flow. This model illustrates how the complementarity of revealed and stated preference data allows including of instream flow as a covariate in the model and calculating value under alternative flow regimes.