Time series econometrics structural (32 risultati)

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Taschenbuch. Condizione: Neu. Neuware - It is unrealistic to conceive that economic variables or relationships follow a statistical law in which moments or parameters are kept constant over time. The focus of this book is on model specification and testing of time series that are subject to gradual or sudden structural changes in a nonstationary context. In the multivariate setting, we propose a time varying error correction model in which the cointegrating vector smoothly varies over time. The systemic Johansen's setup is a special case of our model. A likelihood ratio test on standard cointegration is defined and its asymptotic distribution is derived. In an application to the PPP hypothesis with US data, we find strong evidence for parity with several world countries. Next we propose a model which explains data that is subject to structural changes of unspecified nature in a univariate setting. The structural shifts are generated by a random walk component whose innovations belong to the normal domain of attraction of a symmetric stable law. To test our model against a stationary process, several nonparametric statistics are presented. This approach is applied to a set of international economic variables for which at least one abrupt structural break appears to have occurred. The book is addressed to researchers and graduate students in economics whose main interest is in theoretical and applied cointegrated and unit root time series.…

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Hardback. Condizione: New. Volume 1 covers statistical methods related to unit roots, trend breaks and their interplay. Testing for unit roots has been a topic of wide interest and the author was at the forefront of this research. The book covers important topics such as the Phillips-Perron unit root test and theoretical analyses about their properties, how this and other tests could be improved, and ingredients needed to achieve better tests and the proposal of a new class of tests. Also included are theoretical studies related to time series models with unit roots and the effect of span versus sampling interval on the power of the tests. Moreover, this book deals with the issue of trend breaks and their effect on unit root tests. This research agenda fostered by the author showed that trend breaks and unit roots can easily be confused. Hence, the need for new testing procedures, which are covered.Volume 2 is about statistical methods related to structural change in time series models. The approach adopted is off-line whereby one wants to test for structural change using a historical dataset and perform hypothesis testing. A distinctive feature is the allowance for multiple structural changes. The methods discussed have, and continue to be, applied in a variety of fields including economics, finance, life science, physics and climate change. The articles included address issues of estimation, testing and/or inference in a variety of models: short-memory regressors and errors, trends with integrated and/or stationary errors, autoregressions, cointegrated models, multivariate systems of equations, endogenous regressors, long-memory series, among others. Other issues covered include the problems of non-monotonic power and the pitfalls of adopting a local asymptotic framework. Empirical analyses are provided for the US real interest rate, the US GDP, the volatility of asset returns and climate change.…

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Hardback. Condizione: New. Volume 1 covers statistical methods related to unit roots, trend breaks and their interplay. Testing for unit roots has been a topic of wide interest and the author was at the forefront of this research. The book covers important topics such as the Phillips-Perron unit root test and theoretical analyses about their properties, how this and other tests could be improved, and ingredients needed to achieve better tests and the proposal of a new class of tests. Also included are theoretical studies related to time series models with unit roots and the effect of span versus sampling interval on the power of the tests. Moreover, this book deals with the issue of trend breaks and their effect on unit root tests. This research agenda fostered by the author showed that trend breaks and unit roots can easily be confused. Hence, the need for new testing procedures, which are covered.Volume 2 is about statistical methods related to structural change in time series models. The approach adopted is off-line whereby one wants to test for structural change using a historical dataset and perform hypothesis testing. A distinctive feature is the allowance for multiple structural changes. The methods discussed have, and continue to be, applied in a variety of fields including economics, finance, life science, physics and climate change. The articles included address issues of estimation, testing and/or inference in a variety of models: short-memory regressors and errors, trends with integrated and/or stationary errors, autoregressions, cointegrated models, multivariate systems of equations, endogenous regressors, long-memory series, among others. Other issues covered include the problems of non-monotonic power and the pitfalls of adopting a local asymptotic framework. Empirical analyses are provided for the US real interest rate, the US GDP, the volatility of asset returns and climate change.…

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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Revision with unchanged content. It is unrealistic to conceive that economic variables or relationships follow a statistical law in which moments or parameters are kept constant over time. The focus of this book is on model specification and testing of time series that are subject to gradual or sudden structural changes in a nonstationary context. In the multivariate setting, we propose a time varying error cor-rection model in which the cointegrating vector smoothly varies over time. The systemic Johansen's setup is a special case of our model. A likelihood ratio test on standard cointegration is defined and its asymptotic distribution is derived. In an application to the PPP hypothesis with US data, we find strong evidence for parity with several world countries. Next we propose a model which explains data that is subject to structural changes of unspecified nature in a univariate setting. The structural shifts are generated by a random walk component whose innovations belong to the normal domain of attraction of a symmetric stable law. To test our model against a stationary process, several nonparametric statistics are presented. This approach is applied to a set of international economic variables for which at least one abrupt structural break appears to have occurred. The book is addressed to researchers and graduate students in economics whose main interest is in theoretical and applied cointegrated. 288 pp. Englisch.…

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Martins Luis FilipeHas been Assistant Professor of Quantitative Methods at ISCTE-Business School since May 2005. His PhD in Economics was from the Pennsylvania State University (2005). Luis has a publication in the Econometrics Journ.…

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Revision with unchanged content. It is unrealistic to conceive that economic variables or relationships follow a statistical law in which moments or parameters are kept constant over time. The focus of this book is on model specification and testing of time series that are subject to gradual or sudden structural changes in a nonstationary context. In the multivariate setting, we propose a time varying error cor-rection model in which the cointegrating vector smoothly varies over time. The systemic Johansen's setup is a special case of our model. A likelihood ratio test on standard cointegration is defined and its asymptotic distribution is derived. In an application to the PPP hypothesis with US data, we find strong evidence for parity with several world countries. Next we propose a model which explains data that is subject to structural changes of unspecified nature in a univariate setting. The structural shifts are generated by a random walk component whose innovations belong to the normal domain of attraction of a symmetric stable law. To test our model against a stationary process, several nonparametric statistics are presented. This approach is applied to a set of international economic variables for which at least one abrupt structural break appears to have occurred. The book is addressed to researchers and graduate students in economics whose main interest is in theoretical and applied cointegrated.…

Taschenbuch. Condizione: Neu. Structural Changes in Nonstationary Time Series Econometrics | Time Varying Cointegration and Modeling Catastrophic Events | Luis Filipe Martins | Taschenbuch | 288 S. | Englisch | 2012 | AV Akademikerverlag | EAN 9783639425130 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu Print on Demand. …

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Revision with unchanged content. It is unrealistic to conceive that economic variables or relationships follow a statistical law in which moments or parameters are kept constant over time. The focus of this book is on model specification and testing of time series that are subject to gradual or sudden structural changes in a nonstationary context. In the multivariate setting, we propose a time varying error cor-rection model in which the cointegrating vector smoothly varies over time. The systemic Johansen's setup is a special case of our model. A likelihood ratio test on standard cointegration is defined and its asymptotic distribution is derived. In an application to the PPP hypothesis with US data, we find strong evidence for parity with several world countries. Next we propose a model which explains data that is subject to structural changes of unspecified nature in a univariate setting. The structural shifts are generated by a random walk component whose innovations belong to the normal domain of attraction of a symmetric stable law. To test our model against a stationary process, several nonparametric statistics are presented. This approach is applied to a set of international economic variables for which at least one abrupt structural break appears to have occurred. The book is addressed to researchers and graduate students in economics whose main interest is in theoretical and applied cointegrated.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 288 pp. Englisch.…

Condizione: New. Print on Demand pp. 288.