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Bootstrap Tests for Regression Models

✍ Scribed by Leslie Godfrey (auth.)


Publisher
Palgrave Macmillan UK
Year
2009
Tongue
English
Leaves
342
Series
Palgrave Texts in Econometrics
Edition
1
Category
Library

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✦ 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.

✦ 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

✦ Subjects


Econometrics; Statistics for Business/Economics/Mathematical Finance/Insurance; Economic Theory/Quantitative Economics/Mathematical Methods


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