Discrete choice experiments (DCEs) often present concise choice scenarios that may appear incomplete to respondents. To allow respondents to express uncertainty arising from this incompleteness, DCEs may ask them to state probabilities with which they expect to make specific choices. The...

We estimate a revealed-preference scheduling model of morning peak behaviour that allows us to determine the impact of traffic information on traveller behaviour. Specifically, we distinguish between the marginal impact of expected travel times versus that of deviations from this expectation...

In this paper we analyze the potential demand for privately used alternative fuel vehicles (AFVs), based on a nationwide survey in Germany among (potential) car buyers. For this purpose, we applied a stated preference discrete choice experiment, using a wide range of vehicle alternatives...

The static differentiated product demand model when applied to products with rapid product turnover and declining prices, yields implausible results. One response is to explicitly model the inter-temporal choices of consumers but computational demands require restrictive assumptions on consumer...

Previous literature on the distribution of willingness to pay has focused on its heterogeneity distribution without addressing exact interval estimation. In this paper we derive and analyze Bayesian confidence sets for quantifying uncertainty in the determination of willingness to pay for carbon...

Bundling becomes a dominant sales strategy in telecommunications. Dual and triple-play packages are increasingly popular among subscribers. From operators' perspective, a core issue in bundling design is the knowledge about how consumers value packages. In this paper we focus on elicitation of...