Copula-GARCH models have been recently proposed in the financial literature as a statistical tool to build flexible multivariate distributions. Our extensive simulation studies investigate the small sample properties of these models and examine how misspecification in the marginals may affect...

Non-homogeneous regression models are widely used to statistically post-process numerical ensemble weather prediction models. Such regression models are capable of forecasting full probability distributions and correct for ensemble errors in the mean and variance. To estimate the corresponding...

The welfare consequences of airline mergers have been analyzed almost exclusively in terms of ticket price. However, when flight frequency decisions are endogenized in a model,we can estimate measures of the relative importance of price and flight frequency. Hence, in a merger analysis, we can...

This paper investigates the consumer welfare consequences of the recent code-share agreement between Continental Airlines and Northwest Airlines. We develop a discrete choice model based on individual flight characteristics. This structural model recognizes that consumers i) may have...

We empirically analyze exchanges of cost information in a multimarket oligopoly model for the airline industry with entry and incomplete information on marginal costs. We develop an algorithm to solve the Nash equilibrium numerically. We estimate the structural model of supply decisions using...

This chapter presents a unified set of estimation methods for fitting a rich array of models describing dynamic relationships within a longitudinal data setting. The discussion surveys approaches for characterizing the micro dynamics of continuous dependent variables both over time and across...

This study extends Seck's (1996) approach to investigate the degree of substitutability between equity real estate investment trusts (EREITs) and mortgage real estate investment trusts (MREITs). The variance ratio test and the variance decomposition of forecast errors yield results indicating...

This study examines the performance of acquisitions in the Real Estate Investment Trust (REIT) industry around the acquisition announcement and in the long-run. The results suggest that the acquiring REITs experience statistically significant negative abnormal returns while the target REITs earn...

Measuring bias is important as it helps identify flaws in quantitative forecasting methods or judgmental forecasts. It can, therefore, potentially help improve forecasts. Despite this, bias tends to be under represented in the literature: many studies focus solely on measuring accuracy. Methods...