Specifying And Diagnostically Testing Econometric Models

Specifying and Diagnostically Testing Econometric Models

Specifying and Diagnostically Testing Econometric Models

This volume discusses and illustrates with output from actual problems a number of applied econometric techniques. Among the specific techniques covered are OLS specification tests, recursive residual analysis, limited dependent variable models, error component models, time series models, and optimal control analysis. For each, the author outlines the basic mathematical models involved, discusses and estimates a sample problem using the B34S Data Analysis System he developed to facilitate the calculations, displays and evaluates the output of the program, and explores follow-up models. The examples selected are taken from a variety of sources and reflect actual applied research. All results are completely documented in the text so that the reader does not need access to the B34S program in order to use the book effectively.

Handbook of Computational Econometrics

Handbook of Computational Econometrics examines the state of the art of computational econometrics and provides exemplary studies dealing with computational issues arising from a wide spectrum of econometric fields including such topics as bootstrapping, the evaluation of econometric software, and algorithms for control, optimization, and estimation. Each topic is fully introduced before proceeding to a more in-depth examination of the relevant methodologies and valuable illustrations. This book: Provides self-contained treatments of issues in computational econometrics with illustrations and invaluable bibliographies. Brings together contributions from leading researchers. Develops the techniques needed to carry out computational econometrics. Features network studies, non-parametric estimation, optimization techniques, Bayesian estimation and inference, testing methods, time-series analysis, linear and nonlinear methods, VAR analysis, bootstrapping developments, signal extraction, software history and evaluation. This book will appeal to econometricians, financial statisticians, econometric researchers and students of econometrics at both graduate and advanced undergraduate levels.