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Author: Zhiwei Xu Publisher: ISBN: Category : Languages : en Pages :
Book Description
In this note, we revisit the univariate unobserved-component (UC) model of U.S. GDP by relaxing the traditional random-walk assumption of the permanent component. Since our general UC model is unidentified, we investigate the upper bound of the contribution of the transitory component, and find the GDP fluctuation is dominated by the permanent component.
Author: Zhiwei Xu Publisher: ISBN: Category : Languages : en Pages :
Book Description
In this note, we revisit the univariate unobserved-component (UC) model of U.S. GDP by relaxing the traditional random-walk assumption of the permanent component. Since our general UC model is unidentified, we investigate the upper bound of the contribution of the transitory component, and find the GDP fluctuation is dominated by the permanent component.
Author: Andrew Harvey Publisher: OUP Oxford ISBN: 019151554X Category : Business & Economics Languages : en Pages : 472
Book Description
This volume presents a collection of readings which give the reader an idea of the nature and scope of unobserved components (UC) models and the methods used to deal with them. The book is intended to give a self-contained presentation of the methods and applicative issues. Harvey has made major contributions to this field and provides substantial introductions throughout the book to form a unified view of the literature. - ;This book presents a collection of readings which give the reader an idea of the nature and scope of unobserved components (UC) models and the methods used to deal with them. It contains four parts, three of which concern recent theoretical developments in classical and Bayesian estimation of linear, nonlinear, and non Gaussian UC models, signal extraction and testing, and one is devoted to selected econometric applications. The first part focuses on the linear state space model; the readings provide insight on prediction theory, signal extraction, and likelihood inference for non stationary and non invertible processes, diagnostic checking, and the use of state space methods for spline smoothing. Part II deals with applications of linear UC models to various estimation problems concerning economic time series, such as trend-cycle decompositions, seasonal adjustment, and the modelling of the serial correlation induced by survey sample design. The issues involved in testing in linear UC models are the theme of part III, which considers tests concerned with whether or not certain variance parameters are zero, with special reference to stationarity tests. Finally, part IV is devoted to the advances concerning classical and Bayesian inference for non linear and non Gaussian state space models, an area that has been evolving very rapidly during the last decade, paralleling the advances in computational inference using stochastic simulation techniques. The book is intended to give a relatively self-contained presentation of the methods and applicative issues. For this purpose, each part comes with an introductory chapter by the editors that provides a unified view of the literature and the many important developments that have occurred in the last years. -
Author: Daisuke Nagakura Publisher: ISBN: Category : Languages : en Pages : 0
Book Description
In this note, I consider a general class of unobserved components (UC) models and derive a relevant inequality. This inequality implies that either of the two assumptions of standard UC models, namely, a random walk trend and uncorrelated shocks, is not satisfied if the impulse response measure introduced by Campbell and Mankiw (1987a,b) is greater than 1.
Author: Donald W. K. Andrews Publisher: Cambridge University Press ISBN: 1139444603 Category : Business & Economics Languages : en Pages : 589
Book Description
This 2005 volume contains the papers presented in honor of the lifelong achievements of Thomas J. Rothenberg on the occasion of his retirement. The authors of the chapters include many of the leading econometricians of our day, and the chapters address topics of current research significance in econometric theory. The chapters cover four themes: identification and efficient estimation in econometrics, asymptotic approximations to the distributions of econometric estimators and tests, inference involving potentially nonstationary time series, such as processes that might have a unit autoregressive root, and nonparametric and semiparametric inference. Several of the chapters provide overviews and treatments of basic conceptual issues, while others advance our understanding of the properties of existing econometric procedures and/or propose others. Specific topics include identification in nonlinear models, inference with weak instruments, tests for nonstationary in time series and panel data, generalized empirical likelihood estimation, and the bootstrap.
Author: Peijie Wang Publisher: Routledge ISBN: 113454877X Category : Business & Economics Languages : en Pages : 185
Book Description
This book provides an economic and econometric analysis of real estate investment and real estate market behaviour. Peijie Wang examines fluctuations in the real estate business to reveal the mechanisms governing the interactions between the industry and other sectors of the economy.
Author: Graham Elliott Publisher: Princeton University Press ISBN: 1400880890 Category : Business & Economics Languages : en Pages : 568
Book Description
A comprehensive and integrated approach to economic forecasting problems Economic forecasting involves choosing simple yet robust models to best approximate highly complex and evolving data-generating processes. This poses unique challenges for researchers in a host of practical forecasting situations, from forecasting budget deficits and assessing financial risk to predicting inflation and stock market returns. Economic Forecasting presents a comprehensive, unified approach to assessing the costs and benefits of different methods currently available to forecasters. This text approaches forecasting problems from the perspective of decision theory and estimation, and demonstrates the profound implications of this approach for how we understand variable selection, estimation, and combination methods for forecasting models, and how we evaluate the resulting forecasts. Both Bayesian and non-Bayesian methods are covered in depth, as are a range of cutting-edge techniques for producing point, interval, and density forecasts. The book features detailed presentations and empirical examples of a range of forecasting methods and shows how to generate forecasts in the presence of large-dimensional sets of predictor variables. The authors pay special attention to how estimation error, model uncertainty, and model instability affect forecasting performance. Presents a comprehensive and integrated approach to assessing the strengths and weaknesses of different forecasting methods Approaches forecasting from a decision theoretic and estimation perspective Covers Bayesian modeling, including methods for generating density forecasts Discusses model selection methods as well as forecast combinations Covers a large range of nonlinear prediction models, including regime switching models, threshold autoregressions, and models with time-varying volatility Features numerous empirical examples Examines the latest advances in forecast evaluation Essential for practitioners and students alike
Author: David H. Romer Publisher: Brookings Institution Press ISBN: 0815722214 Category : Political Science Languages : en Pages : 421
Book Description
Brookings Papers on Economic Activity: Spring 2011 • Job Search, Emotional Well-Being, and Job Finding in a Periodof Mass Unemployment: Evidence from High-Frequency Longitudinal DataBy Alan B. Krueger and Andreas Mueller • Financially Fragile Households: Evidence and ImplicationsBy Annamaria Lusardi, Daniel Schneider, and Peter Tufano • Let's Twist Again: A High-Frequency Event-Study Analysisof Operation Twist and Its Implications for QE2By Eric T. Swanson • An Exploration of Optimal Stabilization PolicyBy N. Gregory Mankiw and Matthew Weinzierl • What Explains the German Labor Market Miracle in the Great Recession?By Michael C. Burda and Jennifer Hunt • Inflation Dynamics and the Great RecessionBy Laurence Ball and Sandeep Mazumder
Author: Andrew C. Harvey Publisher: Cambridge University Press ISBN: 9780521405737 Category : Business & Economics Languages : en Pages : 574
Book Description
A synthesis of concepts and materials, that ordinarily appear separately in time series and econometrics literature, presents a comprehensive review of theoretical and applied concepts in modeling economic and social time series.
Author: Zhiwei Xu
Author: Zhiwei Xu
Author: Ralph W. Bailey
Author: Ralph W. Bailey
Author: Andrew Harvey
Author: Daisuke Nagakura
Author: Donald W. K. Andrews
Author: Peijie Wang
Author: Graham Elliott
Author: David H. Romer
Author: Andrew C. Harvey