Public benefit-cost analysis of market policies often relies on a particular definition of market surplus that adds up consumer and producer surplus and external costs. This paper provides an overview of conceptual strategies to deal with moral considerations and then develops an adjusted market...

This paper is the first to examine the effect of minimum price guaranteesin a sequential search model. Minimum price guarantees are notadvertised and only known to consumers when they come to the shop.We show that in such an environment, minimum price guarantees increasethe value of buying the...

A common way to determine values of travel time and schedule delay is to estimate departure time choice models, using stated preference (SP) or revealed preference (RP) data. The latter are used less frequently, mainly because of the di fficulties to collect the data required for the model...

We analyze the redistributional (dis)advantages of a minimum wage over income taxation in competitive labor markets, without imposing assumptions on the (in)efficiency of labor rationing. Compared to a distributionally equivalent tax change, a minimum-wage increase raises involuntary...

This paper investigates second-best congestion pricing in a monocentric city characterized by distortionary, rigid regulatory mechanisms in the housing market (building height restrictions, zoning and property taxation). The Pigouvian toll is shown to retain its optimality under any setting with...

Automobile gasoline demand can be expressed as a multiplicative function of fuel efficiency, mileage per car and car ownership. This implies a linear relationship between the price elasticity of total fuel demand and the price elasticities of fuel efficiency, mileage per car and car ownership....

We propose a sieve bootstrap framework to conduct pointwise and simultaneous inference for time-varying coefficient regression models based on a nonparametric local linear estimator. The asymptotic validity of the sieve bootstrap in the presence of autocorrelation is established. We find that it...

Many products and services can be described as mixtures of ingredients whose proportions sum to one. Specialized models have been developed for linking the mixture proportions to outcome variables, such as preference, quality and liking. In many scenarios, only the mixture proportions matter for...

We propose a Bayesian infinite hidden Markov model to estimate time-varying parameters in a vector autoregressive model. The Markov structure allows for heterogeneity over time while accounting for state-persistence. By modelling the transition distribution as a Dirichlet process mixture model,...

The effects of a policy measure often reach the consumer only after one or more intermediatesteps, for instance because the measure lowers the cost of an input for an industry producinga consumer good. This paper is concerned with the question how to measure such indirect effectscorrectly under...