The Robustness Of Estimators For Dynamic Panel Data Models To Misspecification


The Robustness Of Estimators For Dynamic Panel Data Models To Misspecification
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The Robustness Of Estimators For Dynamic Panel Data Models To Misspecification


The Robustness Of Estimators For Dynamic Panel Data Models To Misspecification
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Author : Mark Norman Harris
language : en
Publisher:
Release Date : 1996

The Robustness Of Estimators For Dynamic Panel Data Models To Misspecification written by Mark Norman Harris and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Econometrics categories.




The Robustness Of Estimators For Dynamic Panel Data Models To Misspecification


The Robustness Of Estimators For Dynamic Panel Data Models To Misspecification
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Author : Laszlo Matyas
language : en
Publisher:
Release Date : 2001

The Robustness Of Estimators For Dynamic Panel Data Models To Misspecification written by Laszlo Matyas and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with categories.


The transition from economic theory to a testable form invariably involves the use of certain "simplifying assumptions". However, if these are not valid, misspecified model result. This paper considers consistent estimation of the dynamic panel model which often forms the basis of testable economic hypotheses. These estimators are similarly based on certain "simplifying assumptions", which appear to be often untenable in practice. In light of this, unlike previous studies, the performance of these estimators is analysed in scenarios where these assumptions have been deliberately violated. The wide range of potential parameter estimates and conflicting inference amongst them, is illustrated by a investigation into a simple and most likely misspecified, relationship between savings and output growth.



The Econometrics Of Panel Data


The Econometrics Of Panel Data
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Author : Lászlo Mátyás
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-04-06

The Econometrics Of Panel Data written by Lászlo Mátyás and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-04-06 with Business & Economics categories.


This restructured, updated Third Edition provides a general overview of the econometrics of panel data, from both theoretical and applied viewpoints. Readers discover how econometric tools are used to study organizational and household behaviors as well as other macroeconomic phenomena such as economic growth. The book contains sixteen entirely new chapters; all other chapters have been revised to account for recent developments. With contributions from well known specialists in the field, this handbook is a standard reference for all those involved in the use of panel data in econometrics.



Essays In Honor Of M Hashem Pesaran


Essays In Honor Of M Hashem Pesaran
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Author : Alexander Chudik
language : en
Publisher: Emerald Group Publishing
Release Date : 2022-01-18

Essays In Honor Of M Hashem Pesaran written by Alexander Chudik and has been published by Emerald Group Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-01-18 with Business & Economics categories.


The collection of chapters in Volume 43 Part B of Advances in Econometrics serves as a tribute to one of the most innovative, influential, and productive econometricians of his generation, Professor M. Hashem Pesaran.



Estimation Of Linear Dynamic Panel Data Models With Time Invariant Regressors


Estimation Of Linear Dynamic Panel Data Models With Time Invariant Regressors
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Author : Sebastian Kripfganz
language : en
Publisher:
Release Date : 2015

Estimation Of Linear Dynamic Panel Data Models With Time Invariant Regressors written by Sebastian Kripfganz and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with categories.


We propose a two-stage estimation procedure to identify the effects of time-invariant regressors in a dynamic version of the Hausman-Taylor model. We first estimate the coefficients of the time-varying regressors and subsequently regress the first-stage residuals on the time-invariant regressors providing analytical standard error adjustments for the second-stage coefficients. The two-stage approach is more robust against misspecification than GMM estimators that obtain all parameter estimates simultaneously. In addition, it allows exploiting advantages of estimators relying on transformations to eliminate the unit-specific heterogeneity. We analytically demonstrate under which conditions the one-stage and two-stage GMM estimators are equivalent. Monte Carlo results highlight the advantages of the two-stage approach infinite samples. Finally, the approach is illustrated with the estimation of a dynamic gravity equation for U.S. outward foreign direct investment.



Panel Data Econometrics


Panel Data Econometrics
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Author : Manuel Arellano
language : en
Publisher: Oxford University Press
Release Date : 2003

Panel Data Econometrics written by Manuel Arellano and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Business & Economics categories.


Written by one of the world's leading experts on dynamic panel data reviews, this volume reviews most of the important topics in the subject. It deals with static models, dynamic models, discrete choice and related models.



Robustness Tests For Quantitative Research


Robustness Tests For Quantitative Research
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Author : Eric Neumayer
language : en
Publisher: Cambridge University Press
Release Date : 2017-08-17

Robustness Tests For Quantitative Research written by Eric Neumayer and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-17 with Business & Economics categories.


This highly accessible book presents robustness testing as the methodology for conducting quantitative analyses in the presence of model uncertainty.



Neglected Heterogeneity And Dynamics In Cross Country Savings Regressions


Neglected Heterogeneity And Dynamics In Cross Country Savings Regressions
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Author : International Monetary Fund
language : en
Publisher: International Monetary Fund
Release Date : 1999-09-01

Neglected Heterogeneity And Dynamics In Cross Country Savings Regressions written by International Monetary Fund and has been published by International Monetary Fund this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999-09-01 with Business & Economics categories.


This paper examines the extent to which conclusions of cross-country studies of private savings are robust to allowing for the possible heterogeneity of savings behavior across countries and the inclusion of dynamics. It shows that neglecting heterogeneity and dynamics can lead to misleading inferences about the key determinants of savings behavior. The results indicate that among the many variables considered in the literature only the fiscal variables—the general government surplus as a proportion of GDP and the ratio of government consumption to GDP—are important determinants of private savings rates in the industrial countries in the post-World War II period.



Time Series And Panel Data Econometrics


Time Series And Panel Data Econometrics
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Author : M. Hashem Pesaran
language : en
Publisher: Oxford University Press
Release Date : 2015-10-01

Time Series And Panel Data Econometrics written by M. Hashem Pesaran and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-01 with Business & Economics categories.


This book is concerned with recent developments in time series and panel data techniques for the analysis of macroeconomic and financial data. It provides a rigorous, nevertheless user-friendly, account of the time series techniques dealing with univariate and multivariate time series models, as well as panel data models. It is distinct from other time series texts in the sense that it also covers panel data models and attempts at a more coherent integration of time series, multivariate analysis, and panel data models. It builds on the author's extensive research in the areas of time series and panel data analysis and covers a wide variety of topics in one volume. Different parts of the book can be used as teaching material for a variety of courses in econometrics. It can also be used as reference manual. It begins with an overview of basic econometric and statistical techniques, and provides an account of stochastic processes, univariate and multivariate time series, tests for unit roots, cointegration, impulse response analysis, autoregressive conditional heteroskedasticity models, simultaneous equation models, vector autoregressions, causality, forecasting, multivariate volatility models, panel data models, aggregation and global vector autoregressive models (GVAR). The techniques are illustrated using Microfit 5 (Pesaran and Pesaran, 2009, OUP) with applications to real output, inflation, interest rates, exchange rates, and stock prices.



Large Dimensional Panel Data Econometrics Testing Estimation And Structural Changes


Large Dimensional Panel Data Econometrics Testing Estimation And Structural Changes
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Author : Feng Qu
language : en
Publisher: World Scientific
Release Date : 2020-08-24

Large Dimensional Panel Data Econometrics Testing Estimation And Structural Changes written by Feng Qu and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-24 with Business & Economics categories.


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.