State-space Models with Regime Switching

State-space Models with Regime Switching
Author: Chang-Jin Kim
Publisher: Mit Press
Total Pages: 297
Release: 1999
Genre: Business & Economics
ISBN: 9780262112383

Both state-space models and Markov switching models have been highly productive paths for empirical research in macroeconomics and finance. This book presents recent advances in econometric methods that make feasible the estimation of models that have both features. One approach, in the classical framework, approximates the likelihood function; the other, in the Bayesian framework, uses Gibbs-sampling to simulate posterior distributions from data.The authors present numerous applications of these approaches in detail: decomposition of time series into trend and cycle, a new index of coincident economic indicators, approaches to modeling monetary policy uncertainty, Friedman's "plucking" model of recessions, the detection of turning points in the business cycle and the question of whether booms and recessions are duration-dependent, state-space models with heteroskedastic disturbances, fads and crashes in financial markets, long-run real exchange rates, and mean reversion in asset returns.

The Oxford Handbook of Bayesian Econometrics

The Oxford Handbook of Bayesian Econometrics
Author: John Geweke
Publisher: Oxford University Press
Total Pages: 576
Release: 2011-09-29
Genre: Business & Economics
ISBN: 0191618268

Bayesian econometric methods have enjoyed an increase in popularity in recent years. Econometricians, empirical economists, and policymakers are increasingly making use of Bayesian methods. This handbook is a single source for researchers and policymakers wanting to learn about Bayesian methods in specialized fields, and for graduate students seeking to make the final step from textbook learning to the research frontier. It contains contributions by leading Bayesians on the latest developments in their specific fields of expertise. The volume provides broad coverage of the application of Bayesian econometrics in the major fields of economics and related disciplines, including macroeconomics, microeconomics, finance, and marketing. It reviews the state of the art in Bayesian econometric methodology, with chapters on posterior simulation and Markov chain Monte Carlo methods, Bayesian nonparametric techniques, and the specialized tools used by Bayesian time series econometricians such as state space models and particle filtering. It also includes chapters on Bayesian principles and methodology.

Finite Mixture and Markov Switching Models

Finite Mixture and Markov Switching Models
Author: Sylvia Frühwirth-Schnatter
Publisher: Springer Science & Business Media
Total Pages: 506
Release: 2006-11-24
Genre: Mathematics
ISBN: 0387357688

The past decade has seen powerful new computational tools for modeling which combine a Bayesian approach with recent Monte simulation techniques based on Markov chains. This book is the first to offer a systematic presentation of the Bayesian perspective of finite mixture modelling. The book is designed to show finite mixture and Markov switching models are formulated, what structures they imply on the data, their potential uses, and how they are estimated. Presenting its concepts informally without sacrificing mathematical correctness, it will serve a wide readership including statisticians as well as biologists, economists, engineers, financial and market researchers.

Explicit-Duration Markov Switching Models

Explicit-Duration Markov Switching Models
Author: Silvia Chiappa
Publisher: Now Pub
Total Pages: 102
Release: 2014-12-19
Genre: Computers
ISBN: 9781601988300

Provides a simple and clear description of explicit duration modeling. The presentation focuses on making distinctions that help structure the space of models and in laying out inference and learning in a clear way. It is an ideal reference for students and researchers wishing to learn about these models and those looking to develop them further.

State-Space Models with Regime Switching

State-Space Models with Regime Switching
Author: Chang-Jin Kim
Publisher: MIT Press
Total Pages: 312
Release: 2017-11-03
Genre: Business & Economics
ISBN: 0262535505

Both state-space models and Markov switching models have been highly productive paths for empirical research in macroeconomics and finance. This book presents recent advances in econometric methods that make feasible the estimation of models that have both features. One approach, in the classical framework, approximates the likelihood function; the other, in the Bayesian framework, uses Gibbs-sampling to simulate posterior distributions from data. The authors present numerous applications of these approaches in detail: decomposition of time series into trend and cycle, a new index of coincident economic indicators, approaches to modeling monetary policy uncertainty, Friedman's "plucking" model of recessions, the detection of turning points in the business cycle and the question of whether booms and recessions are duration-dependent, state-space models with heteroskedastic disturbances, fads and crashes in financial markets, long-run real exchange rates, and mean reversion in asset returns.

Latent Markov Models for Longitudinal Data

Latent Markov Models for Longitudinal Data
Author: Francesco Bartolucci
Publisher: CRC Press
Total Pages: 253
Release: 2012-10-29
Genre: Mathematics
ISBN: 1466583711

Drawing on the authors' extensive research in the analysis of categorical longitudinal data, this book focuses on the formulation of latent Markov models and the practical use of these models. It demonstrates how to use the models in three types of analysis, with numerous examples illustrating how latent Markov models are used in economics, education, sociology, and other fields. The R and MATLAB routines used for the examples are available on the authors' website.

Bayesian Analysis in Statistics and Econometrics

Bayesian Analysis in Statistics and Econometrics
Author: Donald A. Berry
Publisher: John Wiley & Sons
Total Pages: 610
Release: 1996
Genre: Business & Economics
ISBN: 9780471118565

This book is a definitive work that captures the current state of knowledge of Bayesian Analysis in Statistics and Econometrics and attempts to move it forward. It covers such topics as foundations, forecasting inferential matters, regression, computation and applications.

Structural Changes and their Econometric Modeling

Structural Changes and their Econometric Modeling
Author: Vladik Kreinovich
Publisher: Springer
Total Pages: 784
Release: 2018-11-24
Genre: Technology & Engineering
ISBN: 3030042634

This book focuses on structural changes and economic modeling. It presents papers describing how to model structural changes, as well as those introducing improvements to the existing before-structural-changes models, making it easier to later on combine these models with techniques describing structural changes. The book also includes related theoretical developments and practical applications of the resulting techniques to economic problems. Most traditional mathematical models of economic processes describe how the corresponding quantities change with time. However, in addition to such relatively smooth numerical changes, economical phenomena often undergo more drastic structural change. Describing such structural changes is not easy, but it is vital if we want to have a more adequate description of economic phenomena – and thus, more accurate and more reliable predictions and a better understanding on how best to influence the economic situation.

Advances in Markov-Switching Models

Advances in Markov-Switching Models
Author: James D. Hamilton
Publisher: Springer Science & Business Media
Total Pages: 267
Release: 2013-06-29
Genre: Business & Economics
ISBN: 3642511821

This book is a collection of state-of-the-art papers on the properties of business cycles and financial analysis. The individual contributions cover new advances in Markov-switching models with applications to business cycle research and finance. The introduction surveys the existing methods and new results of the last decade. Individual chapters study features of the U. S. and European business cycles with particular focus on the role of monetary policy, oil shocks and co movements among key variables. The short-run versus long-run consequences of an economic recession are also discussed. Another area that is featured is an extensive analysis of currency crises and the possibility of bubbles or fads in stock prices. A concluding chapter offers useful new results on testing for this kind of regime-switching behaviour. Overall, the book provides a state-of-the-art over view of new directions in methods and results for estimation and inference based on the use of Markov-switching time-series analysis. A special feature of the book is that it includes an illustration of a wide range of applications based on a common methodology. It is expected that the theme of the book will be of particular interest to the macroeconomics readers as well as econometrics professionals, scholars and graduate students. We wish to express our gratitude to the authors for their strong contributions and the reviewers for their assistance and careful attention to detail in their reports.

Unit Roots, Cointegration, and Structural Change

Unit Roots, Cointegration, and Structural Change
Author: G. S. Maddala
Publisher: Cambridge University Press
Total Pages: 528
Release: 1998
Genre: Business & Economics
ISBN: 9780521587822

A comprehensive review of unit roots, cointegration and structural change from a best-selling author.