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...

Python is a powerful high level open source programming language, that is available for multiple platforms. It supports object oriented programming, and has recently become a serious alternative to low level compiled languages such as C. It is easy to learn and use, and is recognized for very...

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...