This dissertation considers a local control function approach for the binary response model under endogeneity. The objective of the Smoothed Maximum Score estimator (SMSE)(Horowitz 1992) is modified by weighting the observations with a kernel. Under some mild regularity conditions similar in...

This research is focused on models for volatility. After the introduction of realized volatility as a consistent estimator for daily volatility, time series models without latent variables have been used to model and forecast volatility. The first part of this research provides a critical review...

The development of cointegration theories and the presence of nonstationarity in time series raised serious concerns about possible spurious estimations in forest products models. Based on the results of Hsiao (1997a, 1997b), all the virtues of two-stage least square (2SLS) hold if there are...

In GARCH models, neglecting parameter changes in the conditional volatility process results in biased estimation. The estimated sum of the autoregressive parameters of the conditional volatility converges to one. In Chapter 2, I analyze the effect of changes in the parameters of conditional...

This dissertation consists of three essays that focus on a Bayesian estimation of stochasticcost frontiers for electric generation plants. This research gives insight into the changingdevelopment of the electric generation market and could serve to inform both private investmentand public policy...