Stochastic Limit Theory:An Introduction for Econometricians
Publication date 1994 (this edition)
Print ISBN-10: 0-19-877403-6
Print ISBN-13: 978-0-19-877403-7
doi:10.1093/0198774036.001.0001

Abstract:
This book aims to introduce modern asymptotic theory to students and practitioners of econometrics. It falls broadly into two parts. The first half provides a handbook and reference for the underlying mathematics (Part I, Chapters 1-6), statistical theory (Part II, Chapters 7-11) and stochastic process theory (Part III, Chapters 12-17). The second half provides a treatment of the main convergence theorems used in analysing the large sample behaviour of econometric estimators and tests. These are the law of large numbers (Part IV, Chapters 18-21), the central limit theorem (Part V, Chapters 22-25) and the functional central limit theorem (Part VI, Chapters 26-30). The focus in this treatment is on the nonparametric approach to time series properties, covering topics such as nonstationarity, mixing, martingales, and near-epoch dependence. While the approach is not elementary, care is taken to keep the treatment self-contained. Proofs are provided for almost all the results.
一本国外的高级计量经济学教材
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