Dynamic factor models /

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Bibliographic Details
Edition:First edition.
Imprint:United Kingdom : Emerald Group Publishing Limited, 2016.
Description:1 online resource
Language:English
Series:Advances in econometrics ; vol. 35
Advances in econometrics ; vol. 35.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11306661
Hidden Bibliographic Details
Other authors / contributors:Hillebrand, Eric, editor.
Koopman, S. J. (Siem Jan), editor.
ISBN:9781785603525
1785603523
1785603531
9781785603532
9781785603532
Notes:Includes bibliographical references.
Vendor-supplied metadata.
Summary:This volume explores dynamic factor model specification, asymptotic and finite-sample behavior of parameter estimators, identification, frequentist and Bayesian estimation of the corresponding state space models, and applications.
Other form:Print version: Hillebrand, Eric. Dynamic Factor Models. Bradford, West Yorkshire : Emerald Group Publishing Limited, ©2016 9781785603532
Description
Summary:Dynamic factor models (DFM) constitute an active and growing area of research, both in econometrics, in macroeconomics, and in finance. Many applications lie at the center of policy questions raised by the recent financial crises, such as the connections between yields on government debt, credit risk, inflation, and economic growth. This volume collects a key selection of up-to-date contributions that cover a wide range of issues in the context of dynamic factor modeling, such as specification, estimation, and application of DFMs. Examples include further developments in DFM for mixed-frequency data settings, extensions to time-varying parameters and structural breaks, for multi-level factors associated with subsets of variables, in factor augmented error correction models, and in many other related aspects. A number of contributions propose new estimation procedures for DFM, such as spectral expectation-maximization algorithms and Bayesian approaches. Numerous applications are discussed, including the dating of business cycles, implied volatility surfaces, professional forecaster survey data, and many more.
Physical Description:1 online resource
Bibliography:Includes bibliographical references.
ISBN:9781785603525
1785603523
1785603531
9781785603532