We study road congestion as a mechanism design problem. In our basic model we analyze the allocation of a set of drivers among two roads, one of which may be congested. An additional driver on the congestible road imposes an externality on the other drivers by increasing their travel time. Each...

We use car-level micro data to provide empirical evidence on the usage of conventional and electric vehicles (EVs) in private and car sharing fleets in Germany. We shed light on both monetary and non-monetary barriers to EV adoption and usage by exploiting the feature that variable costs are...

The public policies on mass transit and other economic policies have been unable to avoid increasing mass transit costs and urban bus fares, which places a burden on a majority of the population depending on public transit. This study analyzes the variations in urban bus fares and households...

Widespread electric vehicle adoption is considered a major policy goal in order to decarbonize the transport sector. However, potential rebound effects both in terms of vehicle ownership and distance traveled might nullify the environmental edge of electric vehicles. Using cross-sectional...

This study examines the uneven effects of air pollution from maritime ports on physical and mental health across racial groups. We exploit quasi-random variation in vessels in port from weather events far out in the ocean to estimate how port traffic influences air pollution and human health. We...

This paper evaluates the quality of survey forecasts, their accuracy and unbiasedness, and their overall consistency. The paper also tries to find out whether the relationships between economic variables are the same in survey data and in the actual data. In other words we analyze whether the...

This paper studies professional forecasts on a micro level using three alternative data sets. The analysis is mainly based on the ECB Survey of Professional Forecasts for the euro area, but for comparison, Consensus Economics survey and the Survey of Professional Forecasts for the US are also...

We apply the boosting estimation method to investigate to what ex-tent and at what horizons macroeconomic time series have nonlinearpredictability coming from their own history. Our results indicate thatthe U.S. macroeconomic time series have more exploitable nonlinearpredictability than...

We use the gradient boosting estimation technique and the ROC curveto non-parametrically measure and exploit the maximal predictive powerof leading indicators for the future state of the business cycle. We de-velop novel procedures for finding the best performing transformationsof individual...

Reverse stress tests are a relatively new stress test instrument that aims at finding exactly those scenarios that cause a bank to cross the frontier between survival and default. Afterward, the scenario which is most probable has to be identified. This paper sketches a framework for a...