An individual’s initial experiences with a common good, such as gasoline, can shape their behavior for decades. We first show that the 1979 oil crisis had a persistent negative effect on the likelihood that individuals that came of driving age during this time drove to work in the year 2000...

The conventional wisdom that inflation expectations respond to the level of the price of oil (or the price of gasoline) is based on testing the null hypothesis of a zero slope coefficient in a static single-equation regression model fit to aggregate data. Given that the regressor in this model...

This paper examines the advantages and drawbacks of alternative methods of estimating oil supply and oil demand elasticities and of incorporating this information into structural VAR models. I not only summarize the state of the literature, but also draw attention to a number of econometric...

The conventional wisdom that inflation expectations respond to the level of the price of oil (or the price of gasoline) is based on testing the null hypothesis of a zero slope coefficient in a static single-equation regression model fit to aggregate data. Given that the regressor in this model...

Using a novel dataset, we develop a structural model of the Very Large Crude Carrier (VLCC) market between the Arabian Gulf and the Far East. We study how fluctuations in oil tanker rates, oil exports, shipowner profits, and bunker fuel prices are determined by shocks to the supply and demand...

The conventional wisdom that inflation expectations respond to the level of the price of oil (or the price of gasoline) is based on testing the null hypothesis of a zero slope coefficient in a static single-equation regression model fit to aggregate data. Given that the regressor in this model...

Economic theory provides ambiguous and conflicting predictions about the association between algorithmic pricing and competition. In this paper we provide the first empirical analysis of this relationship. We study Germany’s retail gasoline market where algorithmic-pricing software became...

This paper examines the advantages and drawbacks of alternative methods of estimating oil supply and oil demand elasticities and of incorporating this information into structural VAR models. I not only summarize the state of the literature, but also draw attention to a number of econometric...

Competition on the German gasoline market is of interest for economists, competition authorities and the general public alike. In this paper, I analyse how constantly lower gasoline prices in Poland affect the prices set in the German border region. More precisely, I estimate the impact of one...

The conventional wisdom that inflation expectations respond to the level of the price of oil (or the price of gasoline) is based on testing the null hypothesis of a zero slope coefficient in a static single-equation regression model fit to aggregate data. Given that the regressor in this model...

Using a novel dataset, we develop a structural model of the Very Large Crude Carrier (VLCC) market between the Arabian Gulf and the Far East. We study how fluctuations in oil tanker rates, oil exports, shipowner profits, and bunker fuel prices are determined by shocks to the supply and demand...

Starting in late 2008, the U.S. production of tight oil surged, causing a renaissance in the U.S. oil sector that few industry analysts had anticipated. This tight oil boom reduced the dependence of the United States on petroleum imports and allowed it to become a major exporter of gasoline and...

An individual’s initial experiences with a common good, such as gasoline, can shape their behavior for decades. We first show that the 1979 oil crisis had a persistent negative effect on the likelihood that individuals that came of driving age during this time drove to work in the year 2000...

To increase competition in the retail market for gasoline, Germany's Federal Cartel Office established the so-called Market Transparency Unit for Fuels (MTU). Drawing on a panel data set covering 6,834 stations in Germany and employing both fixed effect methods and a difference-in-difference...

We examine the relation between consumer search and equilibrium prices when collusion is endogenously determined. We develop a theoretical model and show that average price is a U-shaped function of the measure of searchers: prices are highest when there are no searchers (local monopoly power)...

Drawing on the 2009 and 2017 waves of the National Household Transportation Survey, this paper models the determinants of vehicle miles traveled, with the aim of parameterizing the magnitude of the fuel price elasticity. To capture changes in this magnitude over the two years of the survey, our...

Starting in late 2008, the U.S. production of tight oil surged, causing a renaissance in the U.S. oil sector that few industry analysts had anticipated. This tight oil boom reduced the dependence of the United States on petroleum imports and allowed it to become a major exporter of gasoline and...

In the last decade, many European countries have seen a sharp increase in the number of automated fueling stations. We study the effect of this process innovation on prices at stations that are automated and their competitors using a difference-in-differences matching strategy. Our estimates...

Increasing horizontal as well as vertical transparency in oligopolistic markets can be advantageous for consumers, due to reduced search costs. However, market transparency can also affect incentives to deviate from collusive agreements and the punishment by rival firms in the market. Using a...

This article examines how the shale oil revolution has shaped the evolution of U.S. crude oil and gasoline prices. It puts the evolution of shale oil production into historical perspective, highlights uncertainties about future shale oil production, and cautions against the view that the U.S....

Do we have effective competition between the gasoline's big five oligopolists (Aral, Shell, Esso, Total and Jet) and fringe gasoline stations? Using 2014 Market Transparency price data from 66 cities with populations between 60,000 and 100,000, we analyze which brands lead price increases, the...