State space models play a key role in the estimation of time-varying sensitivities in financial markets. The objective of this book is to analyze the relative merits of modern time series techniques, such as Markov regime switching and the Kalman filter, to model structural changes in the...

In the present paper, we propose a new approach to investigate the logistic function, which is commonly used in mathematical models in economics and management. The approach is based on indicating in a given time series, having a logistic trend, some characteristic points corresponding to zeroes...

Intro; Title page; Table of Contents; Copyright; List of Figures; List of Tables; Preface; Chapter 1. Linear Regression Model; Abstract; 1.1 Inference in Linear Regression Models; 1.2 Testing for Violations of the Linear Regression Framework; 1.3 Specifying the Regressors; 1.4 Issues With...