Estimation of and Testing for Structural Break in the Presence of Measurement Errors PDF Download

Author: Tai-leung Terence Chong
Publisher:
ISBN:
Category : Brownian bridges (Mathematics)
Languages : en
Pages : 23

View

Book Description

Author: Alexandru Cernat
Publisher: Oxford University Press
ISBN: 0192603981
Category : Science
Languages : en
Pages : 304

View

Book Description
Longitudinal data is essential for understanding how the world around us changes. Most theories in the social sciences and elsewhere have a focus on change, be it of individuals, of countries, of organizations, or of systems, and this is reflected in the myriad of longitudinal data that are being collected using large panel surveys. This type of data collection has been made easier in the age of Big Data and with the rise of social media. Yet our measurements of the world are often imperfect, and longitudinal data is vulnerable to measurement errors which can lead to flawed and misleading conclusions. Measurement Error in Longitudinal Data tackles the important issue of how to investigate change in the context of imperfect data. It compiles the latest advances in estimating change in the presence of measurement error from several fields and covers the entire process, from the best ways of collecting longitudinal data, to statistical models to estimate change under uncertainty, to examples of researchers applying these methods in the real world. This book introduces the essential issues of longitudinal data collection, such as memory effects, panel conditioning (or mere measurement effects), the use of administrative data, and the collection of multi-mode longitudinal data. It also presents some of the most important models used in this area, including quasi-simplex models, latent growth models, latent Markov chains, and equivalence/DIF testing. Finally, the use of vignettes in the context of longitudinal data and estimation methods for multilevel models of change in the presence of measurement error are also discussed.

Author: David E. Rapach
Publisher: Emerald Group Publishing
ISBN: 1849505403
Category : Business & Economics
Languages : en
Pages : 691

View

Book Description
Forecasting in the presence of structural breaks and model uncertainty are active areas of research with implications for practical problems in forecasting. This book addresses forecasting variables from both Macroeconomics and Finance, and considers various methods of dealing with model instability and model uncertainty when forming forecasts.

Author:
Publisher:
ISBN:
Category : Mathematical statistics
Languages : en
Pages : 368

View

Book Description

Author: Walter Krämer
Publisher: Springer Science & Business Media
ISBN: 3642484123
Category : Business & Economics
Languages : en
Pages : 134

View

Book Description
Econometric models are made up of assumptions which never exactly match reality. Among the most contested ones is the requirement that the coefficients of an econometric model remain stable over time. Recent years have therefore seen numerous attempts to test for it or to model possible structural change when it can no longer be ignored. This collection of papers from Empirical Economics mirrors part of this development. The point of departure of most studies in this volume is the standard linear regression model Yt = x;fJt + U (t = I, ... , 1), t where notation is obvious and where the index t emphasises the fact that structural change is mostly discussed and encountered in a time series context. It is much less of a problem for cross section data, although many tests apply there as well. The null hypothesis of most tests for structural change is that fJt = fJo for all t, i.e. that the same regression applies to all time periods in the sample and that the disturbances u are well behaved. The well known Chow test for instance assumes t that there is a single structural shift at a known point in time, i.e. that fJt = fJo (t

Author: International Monetary Fund. Research Dept.
Publisher: International Monetary Fund
ISBN: 1451957092
Category : Business & Economics
Languages : en
Pages : 268

View

Book Description
This paper extends a standard growth model and obtains consistent panel data estimates of the growth retarding effects of military spending via its adverse impact on capital formation and resource allocation. Simulation experiments suggest that a substantial long-term “peace dividend”—in the form of higher capacity output—may result from markedly lower military expenditure levels achieved in most regions during the late 1980s, and the further military spending cuts that would be possible if global peace could be secured.

Author: Raymond J. Carroll
Publisher: CRC Press
ISBN: 1420010131
Category : Mathematics
Languages : en
Pages : 484

View

Book Description
It's been over a decade since the first edition of Measurement Error in Nonlinear Models splashed onto the scene, and research in the field has certainly not cooled in the interim. In fact, quite the opposite has occurred. As a result, Measurement Error in Nonlinear Models: A Modern Perspective, Second Edition has been revamped and ex

Author:
Publisher: World Bank Publications
ISBN:
Category :
Languages : en
Pages : 36

View

Book Description

Author: International Monetary Fund. Research Dept.
Publisher: International Monetary Fund
ISBN: 145197423X
Category : Business & Economics
Languages : en
Pages : 128

View

Book Description
This paper analyzes portfolio diversification, leverage, and financial contagion. It studies the extent to which basic principles of portfolio diversification explain “contagious selling” of financial assets when there are purely local shocks. The paper demonstrates that the elementary portfolio theory offers key insights into “contagion.” Most important, portfolio diversification and leverage are sufficient to explain why an investor will find it optimal to significantly reduce all risky asset positions when an adverse shock impacts just one asset.

Author: Feng Qu
Publisher: World Scientific
ISBN: 9811220794
Category : Business & Economics
Languages : en
Pages : 167

View

Book Description
This book aims to fill the gap between panel data econometrics textbooks, and the latest development on 'big data', especially large-dimensional panel data econometrics. It introduces important research questions in large panels, including testing for cross-sectional dependence, estimation of factor-augmented panel data models, structural breaks in panels and group patterns in panels. To tackle these high dimensional issues, some techniques used in Machine Learning approaches are also illustrated. Moreover, the Monte Carlo experiments, and empirical examples are also utilised to show how to implement these new inference methods. Large-Dimensional Panel Data Econometrics: Testing, Estimation and Structural Changes also introduces new research questions and results in recent literature in this field.