A measurement error model is a regression model with (substantial) measurement errors in the variables. Disregarding these measurement errors in estimating the regression parameters results in asymptotically biased estimators. Several methods have been proposed to eliminate, or at least to...

We assess the monetary value of the noise damage, caused by aircraft noise nuisance around Amsterdam Airport, as the sum of hedonic house price differentials and a residual cost component. The residual costs are assessed from a survey, including an ordinal life satisfaction scale, on which...

This paper has a twofold objective. First, we develop a new method to assess the monetary valuefor individuals of external effects. The method makes use of an ordinal index of life satisfaction asscored by individual respondents who are subjected in varying intensity to the external effect....

We estimate the incremental financing decision for a sample of some 150Dutch companies for the years 1984 through 1997, thereby distinguishinginternal finance and three types of external finance: bank borrowing, bondissues and share issues. First, we estimate a multinomial logit model...

It is a common finding in empirical discrete choice studies that the estimated mean relative values of the coefficients (i.e. WTP's) from multinomial logit (MNL) estimations differ from those calculated using mixed logit estimations, where the mixed logit has the better statistical fit. However,...

Consumer products and services can often be described as mixtures of ingredients. Examples are the mixture of ingredients in a cocktail and the mixture of different components of waiting time (e.g., in-vehicle and out-of-vehicle travel time) in a transportation setting. Choice experiments may...

We analyze a client's choice of contract in auctions where Dutch law firms compete for routine cases. The distinguishing feature here is that lawyers may submit bids with any fee arrangement they prefer: an hourly rate, a fixed fee or a mixed fee, which is a time-capped fixed fee plus an hourly...

The heteroscedastic logit model is useful to describe choices of individuals when the randomness in the choice-making varies over time. For example, during surveys individuals may become fatigued and start responding more randomly to questions as the survey proceeds. Or when completing a ranking...

In this paper I determine the importance of adjustment costs in employers' hiring decisions. Temporary work arrangements offer potential ways to avoid adjustment costs. I estimate employers willingness to pay for the characteristics of these work arrangements. I distinguish regular contracts,...

Detecting heterogeneity within a population is crucial in many economic and financial applications. Econometrically, this requires a credible determination of multimodality in a given data distribution. We propose a straightforward yet effective technique for mode inference in discrete data...