This article examines the rate at which different households go green and how this affects the distribution of both wealth and CO2 benefits. Using a unique dataset from the Netherlands, we find that lower-income households are less likely to make their homes more energy efficient. At the same...

The Green Paradox states that, in the absence of a tax on CO2 emissions, subsidizing a renewable backstop such as solar or wind energy brings forward the date at which fossil fuels become exhausted and consequently global warming is aggravated. We shed light on this issue by solving a model of...

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,...

Frequent Flier Programs (FFPs) are said to impact airline consumer behaviour such that revenue of sponsoring airlines increases. Prior research relies on aggregate industry data to study FFPs. We examine the impact of FFPs on individual consumer behaviour in a quasi-natural experimental set-up...

Various contributions to the recent literature on congestion pricing have demonstrated that when services at a congestible facility are provided by operators with market power, the case in point often being a few airlines jointly using a congested airport, optimal congestion pricing rules...

'Robot cars' are cars that allow for automated driving. They can drive closer together than human driven 'normal cars', and thereby raise road capacity. Obtaining a robot car instead of a normal car can also be expected to lower the user's value of time losses (VOT), because travel time can be...

We develop a method to measure the intensity of competition between firms. Our method, which we call the Best Response Measure (BRM), is related to the conduct parameter method, but avoids the main problems associated with that method. The BRM relies on a very general framework and limited data...

We study the trip scheduling preferences of train commuters in a real-life setting. The underlying data have been collected during large-scale peak avoidance experiment conducted in the Netherlands, in which participants could earn monetary rewards for traveling outside peak hours. The...

There has been wide interest in private supply of roads as a solution to traffic congestion. We study its efficiency under demand uncertainty: we solve for equilibrium and optimum as benchmarks, and evaluate the efficiency of possible regulatory policies for private road operators. We obtain...

Existing work emphasizes the importance of traffic congestion externalities, but typically ignores cruising-for-parking externalities. We introduce a novel methodology to estimate the marginal external cruising costs of parking. The level of cruising is identified by examining to what extent the...