Econometric Modeling provides a new and stimulating introduction to econometrics, focusing on modeling. The key issue confronting empirical economics is to establish sustainable relationships that are both supported by data and interpretable from economic theory. The unified likelihood-based approach of this book gives students the required statistical foundations of estimation and inference, and leads to a thorough understanding of econometric techniques. David Hendry and Bent Nielsen introduce modeling for a range of situations, including binary data sets, multiple regression, and cointegrated systems. In each setting, a statistical model is constructed to explain the observed variation in the data, with estimation and inference based on the likelihood function. Substantive issues are always addressed, showing how both statistical and economic assumptions can be tested and empirical results interpreted. Important empirical problems such as structural breaks, forecasting, and model selection are covered, and Monte Carlo simulation is explained and applied. Econometric Modeling is a self-contained introduction for advanced undergraduate or graduate students. Throughout, data illustrate and motivate the approach, and are available for computer-based teaching. Technical issues from probability theory and statistical theory are introduced only as needed. Nevertheless, the approach is rigorous, emphasizing the coherent formulation, estimation, and evaluation of econometric models relevant for empirical research.
This book is the first volume of the International Series in Economic Model ing, a series designed to summarize current issues and procedures in applied modeling within various fields of economics and to offer new or alternative approaches ...
The record of this activity can be found in the Proceedings of the American Eco nomic Review. The Committee on Economic Education and its members have been actively involved in a variety of other projects.
This book is intended to alleviate those anxieties by providing a practical methodology that anyone familiar with regression analysis can employ—a methodology that will yield a model that is both more informative and is a better ...
»(p„-i)x / [W(t)Ydt \ {[W(l)]2-l}-W(l)fW(t)dt [W(t)]2dt-[fW(t)dtf This distribution, sometimes called Dickey-Fuller distribution, has been tabulated by Dickey and Fuller. Tables can be constructed using simulations of functions of a ...
The econometric approach; Models and econometric models; Single-equation estimation; Application of single-equation estimationl Simultaneous equations; The uses of econometrics.
Econometric Model Specification reviews and extends the author's papers on consistent model specification testing and semi-nonparametric modeling and inference. This book consists of two parts.
This volume summarizes the economic theory, the econometric methodology and the empirical findings resulting from the new approach to econometric modelling of producer behaviour.
The latest techniques used in modelling the economy with policy analysis and applications.
This book surveys the theories, techniques (model- building and data collection), and applications of econometrics. KEY TOPICS: It focuses on those aspects of econometrics that are...
This book presents some of the more recent developments in nonlinear time series, including Bayesian analysis and cointegration tests.