Recent advances in the theoretical understanding of equilibria in property markets predict that the equilibrium hedonic price function will typically be highly nonlinear. Rather than adopting progressively more flexible econometric specifications to deal with this nonlinearity we adopt an...

This dissertation consists of three projects in matched case-control studies. In the firstproject, we employ a general bias preventive approach developed by Firth (1993) to handlethe bias of an estimator of the log-odds ratio parameter in conditional logistic regression bysolving a modified...

“Matching” is a statistical technique used to evaluate the effect of a treatment by comparing the treated and non-treated units in an observational study. Matching provides an alternative to older estimation methods, such as ordinary least squares (OLS), which involves strong assumptions...

Artificial linear regressions often provide a convenient way to calculate test statistics and estimate covariance matrices. This paper discusses one family of these regressions, called "double-length" because the number of observations in the artificial regression is twice the actual number of...

PanJen provides users the opportunity to explore the relationship between a dependent variable and its covariates with minimal restrictions. The package offers an easy and data-driven way to choose a functional form in multiple linear regression models by comparing a range of parametric...

This paper demonstrates the importance of using a flexible cost function specification when analyzing economies of scale and estimating the cost effect of banking mergers. The inflexibility of the translog cost function is illustrated and results are compared to more flexible spline and Fourier...

This paper analyses the relationship between income inequality and growth in transition economies. The distinct and complex dynamics adherent to these economies lead to the proposition of new econometric models in the paper. However, empirical results do not support the proposed more flexible...

Model misspecification is a serious issue since misspecification generally renders statistical inference invalid. However, specification testing of discrete choice models is rarely applied. This paper describes a nonparametric test procedure which uses a combination of smoothed residual plots...