Vector autoregressions (VARs) are important tools in time series analysis. However, relatively little is known about the finite-sample behaviour of parameter estimators. We address this issue, by investigating ordinary least squares (OLS) estimators given a data generating process that is a...

The purpose of this project was to develop econometric models that will enable us to describe and forecast the evolution of air fares and passenger numbers for the 7 largest U.S. carriers. The principal data source was the Department of Transport's DB1B database, which contains extensive...

The aim of this project is to understand the main determinants of Southwest Airline's presence on U.S. domestic routes, over the period 2002 to 2007. A new dataset has been constructed, using quarterly and annual data from the U.S. Department of Transportation (DB1B and T100 Origin and...

We develop a flexible multifactor stochastic model with Markov regime-switching spikes, for daily spot and forward electricity. The model captures various stylized features of power prices, including mean reversion and seasonal patterns, and short- lived spikes. Parameters are estimated through...

This project was conceived as an extensive empirical analysis of the U.S. domestic airline market, to address the question of why there are so many routes operated by few carriers (e.g. under monopoly or duopoly conditions). Questions about market concentration, entry deterrence and reputation...

Vector autoregressions (VARs) are an important tool in time series analysis. However, relatively little is known about the finite-sample behaviour of parameter estimators. We address this issue, by investigating ordinary least squares (OLS) estimators given a data generating process that is a...

Vector autoregressions (VARs) are important tools in time series analysis. However, relatively little is known about the nite-sample behaviour of parameter estimators. We address this issue, by investigating ordinary least squares (OLS) estimators given a data generating process that is a purely...

The finite-sample null distribution of the Jarque-Bera Lagrange multiplier test for normality differs considerably from the asymptotic X2 (2). However, asymptotic critical values are commonly used in applied work, even for relatively small sample sizes. Here, we develop very accurate response...

Vector autoregressions (VARs) are an important tool in time series analysis. However, relatively little is known about the finite-sample behaviour of parameter estimators. We address this issue, by investigating ordinary least squares (OLS) estimators given a data generating process that is a...

The finite-sample null distribution of the Jarque-Bera Lagrange multiplier test for normality differs considerably from the asymptotic X2 (2). However, asymptotic critical values are commonly used in applied work, even for relatively small sample sizes. Here, we develop very accurate response...