Introduction to econometrics:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Chichester [u.a.]
Wiley
2008
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | XI, 371 S. graph. Darst. |
| ISBN: | 9780470032701 |
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| adam_text | CONTENTS PREFACE IX CHAPTER 1 AN OVERVIEW OF ECONOMETRICS 1 1.1 THE
IMPORTANCE OF ECONOMETRICS 1 1.2 TYPES OF ECONOMIC DATA 2 1.3 WORKING
WITH DATA: GRAPHICAL METHODS 6 1.4 WORKING WITH DATA: DESCRIPTIVE
STATISTICS AND CORRELATION 11 1.5 CHAPTER SUMMARY 26 EXERCISES 26
CHAPTER 2 A NON-TECHNICAL INTRODUCTION TO REGRESSION 29 2.1 INTRODUCTION
29 2.2 THE SIMPLE REGRESSION MODEL 30 2.3 THE MULTIPLE REGRESSION MODEL
42 2.4 CHAPTER SUMMARY 55 EXERCISES 57 CHAPTER 3 THE ECONOMETRICS OF THE
SIMPLE REGRESSION MODEL 59 3.1 INTRODUCTION 59 3.2 A REVIEW OF BASIC
CONCEPTS IN PROBABILITY IN THE CONTEXT OF THE REGRESSION MODEL 60 3.3
THE CLASSICAL ASSUMPTIONS FOR THE REGRESSION MODEL 64 3.4 PROPERTIES OF
THE ORDINARY LEAST-SQUARES ESTIMATOR OF FT 67 3.5 DERIVING A CONFIDENCE
INTERVAL FOR FT 75 3.6 HYPOTHESIS TESTS ABOUT FT 11 3.7 MODIFICATIONS TO
STATISTICAL PROCEDURES WHEN A 1 IS UNKNOWN 78 VI CONTENTS 3.8 CHAPTER
SUMMARY 81 EXERCISES 82 APPENDIX 1: PROOF OF THE GAUSS-MARKOV THEOREM 84
APPENDIX 2: USING ASYMPTOTIC THEORY IN THE SIMPLE REGRESSION MODEL 85
CHAPTER 4 THE ECONOMETRICS OF THE MULTIPLE REGRESSION MODEL 91 4.1
INTRODUCTION 91 4.2 BASIC RESULTS FOR THE MULTIPLE REGRESSION MODEL 92
4.3 ISSUES RELATING TO THE CHOICE OF EXPLANATORY VARIABLES 96 4.4
HYPOTHESIS TESTING IN THE MULTIPLE REGRESSION MODEL 102 4.5 CHOICE OF
FUNCTIONAL FORM IN THE MULTIPLE REGRESSION MODEL 109 4.6 CHAPTER SUMMARY
115 EXERCISES 116 APPENDIX: WALD AND LAGRANGE MULTIPLIER TESTS 117
CHAPTER 5 THE MULTIPLE REGRESSION MODEL: FREEING UP THE CLASSICAL
ASSUMPTIONS 121 5.1 INTRODUCTION 121 5.2 BASIC THEORETICAL RESULTS 122
5.3 HETEROSKEDASTICITY 124 5.4 THE REGRESSION MODEL WITH AUTOCORRELATED
ERRORS 138 5.5 THE INSTRUMENTAL VARIABLES ESTIMATOR 149 5.6 CHAPTER
SUMMARY 164 EXERCISES 165 APPENDIX: ASYMPTOTIC RESULTS FOR THE OLS AND
INSTRUMENTAL VARIABLES ESTIMATORS 168 CHAPTER 6 UNIVARIATE TIME SERIES
ANALYSIS 173 6.1 INTRODUCTION 173 6.2 TIME SERIES NOTATION 175 6.3
TRENDS IN TIME SERIES VARIABLES 177 6.4 THE AUTOCORRELATION FUNCTION 179
6.5 THE AUTOREGRESSIVE MODEL 181 6.6 DEFINING STATIONARITY 195 6.7
MODELING VOLATILITY 197 6.8 CHAPTER SUMMARY 205 EXERCISES 207 APPENDIX:
MA AND ARMA MODELS 210 CHAPTER 7 REGRESSION WITH TIME SERIES VARIABLES
213 7,1 INTRODUCTION 213 72 TIME SERIES REGRESSION WHEN X AND Y ARE
STATIONARY 214 CONTENTS VLL 7.3 TIME SERIES REGRESSION WHEN YAND X HAVE
UNIT ROOTS 217 7.4 TIME SERIES REGRESSION WHEN YAND X HAVE UNIT ROOTS
BUT ARE NOTCOINTEGRATED 227 7.5 GRANGER CAUSALITY 227 7.6 VECTOR
AUTOREGRESSIONS 233 7.7 CHAPTER SUMMARY 247 EXERCISES 248 APPENDIX: THE
THEORY OF FORECASTING 251 255 255 256 256 271 272 277 277 278 296 304
306 CHAPTER 10 BAYESIAN ECONOMETRICS 309 10.1 AN OVERVIEW OF BAYESIAN
ECONOMETRICS 309 10.2 THE NORMAL LINEAR REGRESSION MODEL WITH NATURAL
CONJUGATE PRIOR AND A SINGLE EXPLANATORY VARIABLE 315 10.3 CHAPTER
SUMMARY 326 EXERCISES 326 APPENDIX: BAYESIAN ANALYSIS OF THE SIMPLE
REGRESSION MODEL WITH UNKNOWN VARIANCE 328 APPENDIX A: MATHEMATICAL
BASICS 333 APPENDIX B: PROBABILITY BASICS 338 APPENDIX C: BASIC CONCEPTS
IN ASYMPTOTIC THEORY 348 APPENDIX D: WRITING AN EMPIRICAL PROJECT 353
TABLES 359 TABLE 1. AREA UNDER THE STANDARD NORMAL DISTRIBUTION PR(0 Z
%) 359 TABLE 2. AREA UNDER THE STUDENT / DISTRIBUTION FOR DIFFERENT
DEGREES OF FREEDOM (DF), PR(Z Z) = 360 TABLE 3. PERCENTILES OF THE
CHI-SQUARE DISTRIBUTION 361 CHAPTER 8 MODELS FOR PANEL DATA 8.1 8.2 8.3
8.4 INTRODUCTION THE POOLED MODEL INDIVIDUAL EFFECTS MODELS CHAPTER
SUMMARY EXERCISES CHAPTER 9 QUALITATIVE CHOICE AND LIMITED DEPENDENT
VARIABLE MODELS 9.1 9.2 9.3 9.4 INTRODUCTION QUALITATIVE CHOICE MODELS
LIMITED DEPENDENT VARIABLE MODELS CHAPTER SUMMARY EXERCISES VIII
CONTENTS TABLE 4A. AREA UNDER THE F-DISTRIBUTION FOR DIFFERENT DEGREES
OF FREEDOM, V, AND V 2 , PR(Z %) = 0.05 362 TABLE 4B. AREA UNDER THE
F-DISTRIBUTION FOR DIFFERENT DEGREES OF FREEDOM, V AND V 2 , PR(Z ^)
= 0.01 363 BIBLIOGRAPHY 364 INDEX 365 PPN: 272596027 TITEL: INTRODUCTION
TO ECONOMETRICS / GARY KOOP. - WEST SUSSEX [U.A.] : WILEY, 2008 ISBN:
978-0-470-03270-1 BIBLIOGRAPHISCHER DATENSATZ IM SWB-VERBUND
|
| adam_txt |
CONTENTS PREFACE IX CHAPTER 1 AN OVERVIEW OF ECONOMETRICS 1 1.1 THE
IMPORTANCE OF ECONOMETRICS 1 1.2 TYPES OF ECONOMIC DATA 2 1.3 WORKING
WITH DATA: GRAPHICAL METHODS 6 1.4 WORKING WITH DATA: DESCRIPTIVE
STATISTICS AND CORRELATION 11 1.5 CHAPTER SUMMARY 26 EXERCISES 26
CHAPTER 2 A NON-TECHNICAL INTRODUCTION TO REGRESSION 29 2.1 INTRODUCTION
29 2.2 THE SIMPLE REGRESSION MODEL 30 2.3 THE MULTIPLE REGRESSION MODEL
42 2.4 CHAPTER SUMMARY 55 EXERCISES 57 CHAPTER 3 THE ECONOMETRICS OF THE
SIMPLE REGRESSION MODEL 59 3.1 INTRODUCTION 59 3.2 A REVIEW OF BASIC
CONCEPTS IN PROBABILITY IN THE CONTEXT OF THE REGRESSION MODEL 60 3.3
THE CLASSICAL ASSUMPTIONS FOR THE REGRESSION MODEL 64 3.4 PROPERTIES OF
THE ORDINARY LEAST-SQUARES ESTIMATOR OF FT 67 3.5 DERIVING A CONFIDENCE
INTERVAL FOR FT 75 3.6 HYPOTHESIS TESTS ABOUT FT 11 3.7 MODIFICATIONS TO
STATISTICAL PROCEDURES WHEN A 1 IS UNKNOWN 78 VI CONTENTS 3.8 CHAPTER
SUMMARY 81 EXERCISES 82 APPENDIX 1: PROOF OF THE GAUSS-MARKOV THEOREM 84
APPENDIX 2: USING ASYMPTOTIC THEORY IN THE SIMPLE REGRESSION MODEL 85
CHAPTER 4 THE ECONOMETRICS OF THE MULTIPLE REGRESSION MODEL 91 4.1
INTRODUCTION 91 4.2 BASIC RESULTS FOR THE MULTIPLE REGRESSION MODEL 92
4.3 ISSUES RELATING TO THE CHOICE OF EXPLANATORY VARIABLES 96 4.4
HYPOTHESIS TESTING IN THE MULTIPLE REGRESSION MODEL 102 4.5 CHOICE OF
FUNCTIONAL FORM IN THE MULTIPLE REGRESSION MODEL 109 4.6 CHAPTER SUMMARY
115 EXERCISES 116 APPENDIX: WALD AND LAGRANGE MULTIPLIER TESTS 117
CHAPTER 5 THE MULTIPLE REGRESSION MODEL: FREEING UP THE CLASSICAL
ASSUMPTIONS 121 5.1 INTRODUCTION 121 5.2 BASIC THEORETICAL RESULTS 122
5.3 HETEROSKEDASTICITY 124 5.4 THE REGRESSION MODEL WITH AUTOCORRELATED
ERRORS 138 5.5 THE INSTRUMENTAL VARIABLES ESTIMATOR 149 5.6 CHAPTER
SUMMARY 164 EXERCISES 165 APPENDIX: ASYMPTOTIC RESULTS FOR THE OLS AND
INSTRUMENTAL VARIABLES ESTIMATORS 168 CHAPTER 6 UNIVARIATE TIME SERIES
ANALYSIS 173 6.1 INTRODUCTION 173 6.2 TIME SERIES NOTATION 175 6.3
TRENDS IN TIME SERIES VARIABLES 177 6.4 THE AUTOCORRELATION FUNCTION 179
6.5 THE AUTOREGRESSIVE MODEL 181 6.6 DEFINING STATIONARITY 195 6.7
MODELING VOLATILITY 197 6.8 CHAPTER SUMMARY 205 EXERCISES 207 APPENDIX:
MA AND ARMA MODELS 210 CHAPTER 7 REGRESSION WITH TIME SERIES VARIABLES
213 7,1 INTRODUCTION 213 72 TIME SERIES REGRESSION WHEN X AND Y ARE
STATIONARY 214 CONTENTS VLL 7.3 TIME SERIES REGRESSION WHEN YAND X HAVE
UNIT ROOTS 217 7.4 TIME SERIES REGRESSION WHEN YAND X HAVE UNIT ROOTS
BUT ARE NOTCOINTEGRATED 227 7.5 GRANGER CAUSALITY 227 7.6 VECTOR
AUTOREGRESSIONS 233 7.7 CHAPTER SUMMARY 247 EXERCISES 248 APPENDIX: THE
THEORY OF FORECASTING 251 255 255 256 256 271 272 277 277 278 296 304
306 CHAPTER 10 BAYESIAN ECONOMETRICS 309 10.1 AN OVERVIEW OF BAYESIAN
ECONOMETRICS 309 10.2 THE NORMAL LINEAR REGRESSION MODEL WITH NATURAL
CONJUGATE PRIOR AND A SINGLE EXPLANATORY VARIABLE 315 10.3 CHAPTER
SUMMARY 326 EXERCISES 326 APPENDIX: BAYESIAN ANALYSIS OF THE SIMPLE
REGRESSION MODEL WITH UNKNOWN VARIANCE 328 APPENDIX A: MATHEMATICAL
BASICS 333 APPENDIX B: PROBABILITY BASICS 338 APPENDIX C: BASIC CONCEPTS
IN ASYMPTOTIC THEORY 348 APPENDIX D: WRITING AN EMPIRICAL PROJECT 353
TABLES 359 TABLE 1. AREA UNDER THE STANDARD NORMAL DISTRIBUTION PR(0 Z
%) 359 TABLE 2. AREA UNDER THE STUDENT / DISTRIBUTION FOR DIFFERENT
DEGREES OF FREEDOM (DF), PR(Z Z) = 360 TABLE 3. PERCENTILES OF THE
CHI-SQUARE DISTRIBUTION 361 CHAPTER 8 MODELS FOR PANEL DATA 8.1 8.2 8.3
8.4 INTRODUCTION THE POOLED MODEL INDIVIDUAL EFFECTS MODELS CHAPTER
SUMMARY EXERCISES CHAPTER 9 QUALITATIVE CHOICE AND LIMITED DEPENDENT
VARIABLE MODELS 9.1 9.2 9.3 9.4 INTRODUCTION QUALITATIVE CHOICE MODELS
LIMITED DEPENDENT VARIABLE MODELS CHAPTER SUMMARY EXERCISES VIII
CONTENTS TABLE 4A. AREA UNDER THE F-DISTRIBUTION FOR DIFFERENT DEGREES
OF FREEDOM, V, AND V 2 , PR(Z %) = 0.05 362 TABLE 4B. AREA UNDER THE
F-DISTRIBUTION FOR DIFFERENT DEGREES OF FREEDOM, V\ AND V 2 , PR(Z ^)
= 0.01 363 BIBLIOGRAPHY 364 INDEX 365 PPN: 272596027 TITEL: INTRODUCTION
TO ECONOMETRICS / GARY KOOP. - WEST SUSSEX [U.A.] : WILEY, 2008 ISBN:
978-0-470-03270-1 BIBLIOGRAPHISCHER DATENSATZ IM SWB-VERBUND |
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| isbn | 9780470032701 |
| language | English |
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| spelling | Koop, Gary Verfasser aut Introduction to econometrics Gary Koop Chichester [u.a.] Wiley 2008 XI, 371 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier Econometrics Ökonometrie (DE-588)4132280-0 gnd rswk-swf (DE-588)4123623-3 Lehrbuch gnd-content Ökonometrie (DE-588)4132280-0 s DE-604 SWBplus Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=016075444&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
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| title | Introduction to econometrics |
| title_auth | Introduction to econometrics |
| title_exact_search | Introduction to econometrics |
| title_exact_search_txtP | Introduction to econometrics |
| title_full | Introduction to econometrics Gary Koop |
| title_fullStr | Introduction to econometrics Gary Koop |
| title_full_unstemmed | Introduction to econometrics Gary Koop |
| title_short | Introduction to econometrics |
| title_sort | introduction to econometrics |
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