Author: Glenn D. RudebuschPublisher:
ISBN:
Category : Macroeconomics
Languages : en
Pages : 58
Book Description
Trends and Random Walks in Macroeconomic Time Series
Author: Glenn D. RudebuschPublisher:
ISBN:
Category : Macroeconomics
Languages : en
Pages : 58
Book Description
TRENDS ADN RANDOM WALKS IN MACROECONOMIC TIME SERIES: A RE-EXAMINATION
Author: Glenn D. RUDEBUSCHTests of Trend Versus Random Walk in Macroeconomic Time Series
Author: Denis Eugene KwiatkowskiPublisher:
ISBN:
Category : Econometrics
Languages : en
Pages : 326
Book Description
Trends and Random Walks in Macroeconomic Time Series : Further Evidence from a New Approach
Author: Perron, PierrePublisher: Montréal : Dép. de science économique, Université de Montréal
ISBN:
Category :
Languages : en
Pages : 49
Book Description
Modelling Trends and Cycles in Economic Time Series
Author: Terence C. MillsPublisher: Springer Nature
ISBN: 3030763595
Category : Business & Economics
Languages : en
Pages : 219
Book Description
Modelling trends and cycles in economic time series has a long history, with the use of linear trends and moving averages forming the basic tool kit of economists until the 1970s. Several developments in econometrics then led to an overhaul of the techniques used to extract trends and cycles from time series. In this second edition, Terence Mills expands on the research in the area of trends and cycles over the last (almost) two decades, to highlight to students and researchers the variety of techniques and the considerations that underpin their choice for modelling trends and cycles.
Trends and Random Walks in Macroeconomic Time Series
Author: Charles R.. NelsonIntroduction to Modern Time Series Analysis
Author: Gebhard KirchgässnerPublisher: Springer Science & Business Media
ISBN: 3642334369
Category : Business & Economics
Languages : en
Pages : 326
Book Description
This book presents modern developments in time series econometrics that are applied to macroeconomic and financial time series, bridging the gap between methods and realistic applications. It presents the most important approaches to the analysis of time series, which may be stationary or nonstationary. Modelling and forecasting univariate time series is the starting point. For multiple stationary time series, Granger causality tests and vector autogressive models are presented. As the modelling of nonstationary uni- or multivariate time series is most important for real applied work, unit root and cointegration analysis as well as vector error correction models are a central topic. Tools for analysing nonstationary data are then transferred to the panel framework. Modelling the (multivariate) volatility of financial time series with autogressive conditional heteroskedastic models is also treated.
Business Cycles
Author: Francis X. DieboldPublisher: Princeton University Press
ISBN: 0691219583
Category : Business & Economics
Languages : en
Pages : 438
Book Description
This is the most sophisticated and up-to-date econometric analysis of business cycles now available. Francis Diebold and Glenn Rudebusch have long been acknowledged as leading experts on business cycles. And here they present a highly integrative collection of their most important essays on the subject, along with a detailed introduction that draws together the book's principal themes and findings. Diebold and Rudebusch use the latest quantitative methods to address five principal questions about the measurement, modeling, and forecasting of business cycles. They ask whether business cycles have become more moderate in the postwar period, concluding that recessions have, in fact, been shorter and shallower. They consider whether economic expansions and contractions tend to die of "old age." Contrary to popular wisdom, they find little evidence that expansions become more fragile the longer they last, although they do find that contractions are increasingly likely to end as they age. The authors discuss the defining characteristics of business cycles, focusing on how economic variables move together and on the timing of the slow alternation between expansions and contractions. They explore the difficulties of distinguishing between long-term trends in the economy and cyclical fluctuations. And they examine how business cycles can be forecast, looking in particular at how to predict turning points in cycles, rather than merely the level of future economic activity. They show here that the index of leading economic indicators is a poor predictor of future economic activity, and consider what we can learn from other indicators, such as financial variables. Throughout, the authors make use of a variety of advanced econometric techniques, including nonparametric analysis, fractional integration, and regime-switching models. Business Cycles is crucial reading for policymakers, bankers, and business executives.
Time-Series-Based Econometrics
Author: Michio HatanakaPublisher: OUP Oxford
ISBN: 0191525022
Category : Business & Economics
Languages : en
Pages : 310
Book Description
In the last decade, time-series econometrics has made extraordinary developments on unit roots and cointegration. However, this progress has taken divergent directions, and has been subjected to criticism from outside the field. In this book, Professor Hatanaka surveys the field, examines those portions that are useful for macroeconomics, and responds to the criticism. His survey of the literature covers not only econometric methods, but also the application of these methods to macroeconomic studies. The most vigorous criticism has been that unit roots to do not exist in macroeconomic variables, and thus that cointegration analysis is irrelevant to macroeconomics. The judgement of this book is that unit roots are present in macroeconomic variables when we consider periods of 20 to 40 years, but that the critics may be right when periods of 100 years are considered. Fortunately, most of the time series data used for macroeconomic studies cover fall within the shorter time span. Among the numerous methods for unit roots and cointegration, those useful from macroeconomic studies are examined and explained in detail, without overburdening the reader with unnecessary mathematics. Other, less applicable methods are dicussed briefly, and their weaknesses are exposed. Hatanaka has rigourously based his judgements about usefulness on whether the inference is appropriate for the length of the data sets available, and also on whether a proper inference can be made on the sort of propositions that macroeconomists wish to test. This book highlights the relations between cointegration and economic theories, and presents cointegrated regression as a revolution in econometric methods. Its analysis is of relevance to academic and professional or applied econometricians. Step-by-step explanations of concepts and techniques make the book a self-contained text for graduate students.
Modelling Trends and Cycles in Economic Time Series
Author: T. MillsPublisher: Springer
ISBN: 0230595529
Category : Business & Economics
Languages : en
Pages : 184
Book Description
Modelling trends and cycles in economic time series has a long history, with the use of linear trends and moving averages forming the basic tool kit of economists until the 1970s. Several developments in econometrics then led to an overhaul of the techniques used to extract trends and cycles from time series. Terence Mills introduces these various approaches to allow students and researchers to appreciate the variety of techniques and the considerations that underpin their choice for modelling trends and cycles.