A Companion to Economic Forecasting provides an accessible and comprehensive account of recent developments in economic forecasting. Each of the chapters has been specially written by an expert in the field, bringing together in a single volume a range of contrasting approaches and views. Uniquely surveying forecasting in a single volume, the Companion provides a comprehensive account of the leading approaches and modeling strategies that are routinely employed.
In this book, Michael Clements presents a clear and logical explanation of the key concepts and ideas of forecasts of economic and financial variables.
In this book, Michael Clements presents a clear and logical explanation of the key concepts and ideas of forecasts of economic and financial variables.
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 ...
For junior/senior undergraduates in a variety of fields such as economics, business administration, applied mathematics and statistics, and for graduate students in quantitative masters programs such as MBA and MA/MS in economics.
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 ...
This text on economic forecasting asks why some practices seem to work empirically despite a lack of formal support from theory.
The author is regarded as one of the most accomplished econometricians in Europe and this book is based on his highly successful lecture program for multidisciplinary, graduate and upper level undergraduate students.
Curiously, textbooks in intermediate macroeconomics have been very slow to adopt these traits. The aim of this book is to bring intermediate instruction in macroeconomics fully into line with the direction taken by the research community.
Including univariate and multivariate techniques, Applied Time Series Analysis provides data sets and program files that support a broad range of multidisciplinary applications, distinguishing this book from others.
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 ...