Time-series-based Econometrics

Time-series-based Econometrics
Author: Michio Hatanaka
Publisher: Oxford University Press
Total Pages: 307
Release: 1996
Genre: Business & Economics
ISBN: 0198773536

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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, examinesthose 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, butthat 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. Hatanakahas 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 techniquesmake the book a self-contained text for graduate students.

New Developments in Time Series Econometrics

New Developments in Time Series Econometrics
Author: Jean-Marie Dufour
Publisher: Springer Science & Business Media
Total Pages: 248
Release: 2012-12-06
Genre: Business & Economics
ISBN: 3642487424

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This book contains eleven articles which provide empirical applications as well as theoretical extensions of some of the most exciting recent developments in time-series econometrics. The papers are grouped around three broad themes: (I) the modeling of multivariate times series; (II) the analysis of structural change; (III) seasonality and fractional integration. Since these themes are closely inter-related, several other topics covered are also worth stressing: vector autoregressive (VAR) models, cointegration and error-correction models, nonparametric methods in time series, and fractionally integrated models. Researchers and students interested in macroeconomic and empirical finance will find in this collection a remarkably representative sample of recent work in this area.

Time Series Analysis

Time Series Analysis
Author: James D. Hamilton
Publisher: Princeton University Press
Total Pages: 820
Release: 2020-09-01
Genre: Business & Economics
ISBN: 0691218633

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An authoritative, self-contained overview of time series analysis for students and researchers The past decade has brought dramatic changes in the way that researchers analyze economic and financial time series. This textbook synthesizes these advances and makes them accessible to first-year graduate students. James Hamilton provides comprehensive treatments of important innovations such as vector autoregressions, generalized method of moments, the economic and statistical consequences of unit roots, time-varying variances, and nonlinear time series models. In addition, he presents basic tools for analyzing dynamic systems—including linear representations, autocovariance generating functions, spectral analysis, and the Kalman filter—in a way that integrates economic theory with the practical difficulties of analyzing and interpreting real-world data. Time Series Analysis fills an important need for a textbook that integrates economic theory, econometrics, and new results. This invaluable book starts from first principles and should be readily accessible to any beginning graduate student, while it is also intended to serve as a reference book for researchers.

Reduced Rank Regression

Reduced Rank Regression
Author: Heinz Schmidli
Publisher: Springer Science & Business Media
Total Pages: 189
Release: 2013-03-13
Genre: Mathematics
ISBN: 3642500153

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Reduced rank regression is widely used in statistics to model multivariate data. In this monograph, theoretical and data analytical approaches are developed for the application of reduced rank regression in multivariate prediction problems. For the first time, both classical and Bayesian inference is discussed, using recently proposed procedures such as the ECM-algorithm and the Gibbs sampler. All methods are motivated and illustrated by examples taken from the area of quantitative structure-activity relationships (QSAR).

Econometrics

Econometrics
Author: Dilip M. Nachane
Publisher: Oxford University Press, USA
Total Pages: 888
Release: 2006-10-19
Genre: Business & Economics
ISBN:

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This textbook covers both the theory and the applications aspects of econometrics for identifying and formulating answers to practical questions. Aimed at Indian students at the post-graduate level , this is a comprehensive volume in its coverage of topics, assumes knowledge of advanced undergraduate algebra, contains exercises and solved examples, and uses applications from the Indian economy and data from both India and the West.

Topics in Reduced Rank Regression

Topics in Reduced Rank Regression
Author: Rajabather Palani Velu
Publisher:
Total Pages: 496
Release: 1983
Genre: Ranking and selection (Statistics)
ISBN:

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