This paper develops a new likelihood-based method for the simultaneous estimation of structural demand-and-supply models for markets with differentiated products. We specify an individual-level discrete choice model of demand and derive the supply side assuming manufacturers compete in prices. The proposed estimation method considers price endogeneity through simultaneous estimation of demand a...

In the year 2000, the German government passed the most ambitious tax reform in post-war German history aiming at a significant tax relief for households. One central aim of this tax reform was to improve work incentives and, thereby, foster employment. In this paper, I estimate an intertemporal discrete choice model of female labor supply that allows to analyze the behavioral effects of the ta...

This paper considers the nonparametric identification and estimation of the average effect of a dummy endogenous variable in nonseparable models. The analysis includes the case of a dummy endogenous variable in a discrete choice model as a special case. This paper establishes conditions under which it is possible to identify and consistently estimate the average effect of the dummy endogenous v...

We present an experiment designed to investigate the presence and nature of ordering effects within repeat-response stated preference (SP) studies. Our experiment takes the form of a large sample, full-factorial, discrete choice SP exercise investigating preferences for tap water quality improvements. Our study simultaneously investigates a variety of different forms of position-dependent and p...

This paper presents an econometric technique for circumventing the lack of individual choice data in a framework of binary choice model by utilizing aggregate choice data. The probability of observing a certain number of individuals making choice A out of the total number of individuals in a group is presented as a sum of probabilities of disjoint events, in which some individuals are picked to...

According to decision making theory, if we know the user’s utility Ui = U(si) of all possible alternatives si, then we can uniquely predict the user’s preferences. In practice, we often only know approximate values Vi ≈ Ui of the user’s utilities. Based on these approximate values, we can only make probabilistic predictions of the user’s preferences. It is empirically known that in many real-li...

Allowing for variations in behaviour across respondents is one of the most fundamental principles in discrete choice modelling, given that the assumption of a purely homogeneous population cannot in general (or ever) be seen to be valid. Two approaches have classically been used to address this problem; the use of deterministic segmentations of the population, and the use of a random continuous...

Abstract This paper presents an approach to estimate mode-choice models from spatially anonymized revealed preference travel survey data. We propose algorithm find a feasible sequence of activity locations for each individual that minimizes the maximum error trip’s Euclidean distance within chain. The synthetic are then used create unchosen alternatives choice set individual. is followed by mod...