Economic Theory, Econometrics, and Mathematical Economics, Second Edition: Forecasting Economic Time Series presents the developments in time series analysis and forecasting theory and practice. This book discusses the application of time series procedures in mainstream economic theory and econometric model building. Organized into 10 chapters, this edition begins with an overview of the problem of dealing with time series possessing a deterministic seasonal component. This text then provides a description of time series in terms of models known as the time-domain approach. Other chapters consider an alternative approach, known as spectral or frequency-domain analysis, that often provides useful insights into the properties of a series. This book discusses as well a unified approach to the fitting of linear models to a given time series. The final chapter deals with the main advantage of having a Gaussian series wherein the optimal single series, least-squares forecast will be a linear forecast. This book is a valuable resource for economists.
LR; sequential test (each at 5% level), FPE: final prediction error, AIC: Akaike information criterion, SC: Schwarz, HQ: Hannan-Quinn Table 6.10.1: Choice of the appropriate lag length p through information criteria Let us start by ...
With a new author team contributing decades of practical experience, this fully updated and thoroughly classroom-tested second edition textbook prepares students and practitioners to create effective forecasting models and master the ...
GiveWin : An Interactive Empirical Modelling Program . London : Timberlake Consultants Press . Doornik , J. A. and Hendry , D. F. ( 1997 ) . Modelling Dynamic Systems using PcFiml 9 for Windows . London : Timberlake Consultants Press .
The Handbook of Economic Forecasting Volumes 2A and 2B provide a unique compilation of chapters giving a coherent overview of forecasting theory and applications in one place and with up-to-date accounts of all major conceptual issues.
This book discusses the importance of the selection of a relevant information set. Organized into 12 chapters, this book begins with an overview of the forecasting techniques that are useful in decision making.
Paye, B. S., and A. Timmermann. 2006. Instability of return prediction models. Journal of Empirical Finance 13:274–315. Pearson, E. 1938. The probability integral transformation for testing goodness of fit and combining independent ...
This compilation of 21 chapters showcases the cross-fertilization between the fields of time s
This book surveys big data tools used in macroeconomic forecasting and addresses related econometric issues, including how to capture dynamic relationships among variables; how to select parsimonious models; how to deal with model ...
The authors believe this is the first published study to really deal with this issue of context.
Forecasting is a practical venture, so many of the chapters are aimed at practitioners and nonspecialists. This book surveys a field that has expanded rapidly in recent years.