Although there is much interest in the future retail price of gasoline among consumers, industry analysts, and policymakers, it is widely believed that changes in the price of gasoline are essentially unforecastable given publicly available information. We explore several new forecasting...

Access to information may represent an important barrier to learning about and ultimately transferring to 4-year colleges for low-income community college students. This paper explores the role that access to information technology, in particular, plays in enhancing, or possibly detracting from,...

Concerns over the perceived negative impacts of computers on social development among children are prevalent but largely uninformed by plausibly causal evidence. We provide the first test of this hypothesis using a large-scale randomized control experiment in which more than one thousand...

We show theoretically and empirically that executives are paid less for their own firm's performance and more for their rivals' performance if an industry's firms are more commonly owned by the same set of investors. Higher common ownership also leads to higher unconditional total pay. We...

This paper provides a general strategy for analyzing monetary policy in real time which accounts for data uncertainty without explicitly modelling the revision process. The strategy makes use of all the data available from a real-time data matrix and averages model estimates across all data...

The use of large datasets for macroeconomic forecasting has received a great deal of interest recently. Boosting is one possible method of using high-dimensional data for this purpose. It is a stage-wise additive modelling procedure, which, in a linear specification, becomes a variable selection...