Bootstrap Tests for Regression Models
β Scribed by Leslie Godfrey (auth.)
- Publisher
- Palgrave Macmillan UK
- Year
- 2009
- Tongue
- English
- Leaves
- 342
- Series
- Palgrave Texts in Econometrics
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
An accessible discussion examining computationally-intensive techniques and bootstrap methods, providing ways to improve the finite-sample performance of well-known asymptotic tests for regression models. This book uses the linear regression model as a framework for introducing simulation-based tests to help perform econometric analyses.
β¦ Table of Contents
Front Matter....Pages i-xiii
Tests for Linear Regression Models....Pages 1-43
Simulation-based Tests: Basic Ideas....Pages 44-80
Simulation-based Tests for Regression Models with IID Errors: Some Standard Cases....Pages 81-133
Simulation-based Tests for Regression Models with IID Errors: Some Non-standard Cases....Pages 134-176
Bootstrap Methods for Regression Models with Non-IID Errors....Pages 177-217
Simulation-based Tests for Regression Models with Non-IID Errors....Pages 218-265
Simulation-based Tests for Non-nested Regression Models....Pages 266-302
Epilogue....Pages 303-304
Back Matter....Pages 305-329
β¦ Subjects
Econometrics; Statistics for Business/Economics/Mathematical Finance/Insurance; Economic Theory/Quantitative Economics/Mathematical Methods
π SIMILAR VOLUMES
This volume contains an accessible discussion examining computationally-intensive techniques and bootstrap methods, providing ways to improve the finite-sample performance of well-known asymptotic tests for regression models. The bookΒ uses the linear regression model as a framework for introducing s
This volume contains an accessible discussion examining computationally-intensive techniques and bootstrap methods, providing ways to improve the finite-sample performance of well-known asymptotic tests for regression models. The bookΒ uses the linear regression model as a framework for introducing s
<p>Regression and state space models with time varying coefficients are treated in a thorough manner. State space models are introduced as a means to model time varying regression coefficients. The Kalman filter and smoother recursions are explained in an easy to understand fashion. The main part of
<p>This monograph grew out of joint work with various dedicated colleagues and students at the Vienna Institute for Advanced Studies. We would probably never have begun without the impetus of Johann Maurer, who for some time was the spiritus rector behind the Institute's macromodel of the Austrian e