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Beschreibung
Die Ökonometrie oder Wirtschaftsstatistik beschäftigt sich mit der Datensammlung, Variablenmessung, der Analyse von Zusammenhängen und der Prüfung von Hypothesen. Schwerpunkte dieses Buches liegen unter anderem auf der Auswahl von geeignetem Datenmaterial und nichtparametrischen Methoden. Ergänzt wird der für fortgeschrittene Studenten gedachte Text durch zahlreiche Abbildungen, Beispiele, Übungsaufgaben und bibliographische Angaben.
Die Ökonometrie oder Wirtschaftsstatistik beschäftigt sich mit der Datensammlung, Variablenmessung, der Analyse von Zusammenhängen und der Prüfung von Hypothesen. Schwerpunkte dieses Buches liegen unter anderem auf der Auswahl von geeignetem Datenmaterial und nichtparametrischen Methoden. Ergänzt wird der für fortgeschrittene Studenten gedachte Text durch zahlreiche Abbildungen, Beispiele, Übungsaufgaben und bibliographische Angaben.
Über den Autor
Franco Peracchi is a Professor of Econometrics at Tor Vergata University in Rome. he received an MSc in Econometrics from the London School of Economics in 1983 and a PhD in Economics from Princeton University in 1987. His research interests include econometric theory and methods, nonparametric and robust statistical methods, and labour economics. His work has been published in leading econometric and statistical journals.
Inhaltsverzeichnis
Preface.
Notation.
Regression Models.
Sampling.
Time Series.
Point Estimation.
Statistical Accuracy and Hypothesis Testing.
The Classical Linear Model: Estimation.
Violations of the Ideal Conditions for OLS.
Diagnostics Based on the OLS Estimates.
The Classical Linear Model: Hypothesis Testing.
Asymptotic Properties of Least Squares Methods.
The Instrumental Variables Method.
Linear Models for Panel Data.
Linear Simultaneous Equation Models.
Nonparametric Methods.
M-Estimators.
Adaptive and Robust Regression Estimators.
Models for Discrete Responses.
Models for Truncated and Censored Data.
References.
Appendix A: Review of Linear Algebra.
Appendix B: Methods of Numerical Maximization.
Appendix C: Review of Probability.
Appendix D: Elements of Asymptotic Theory.
Index.
Notation.
Regression Models.
Sampling.
Time Series.
Point Estimation.
Statistical Accuracy and Hypothesis Testing.
The Classical Linear Model: Estimation.
Violations of the Ideal Conditions for OLS.
Diagnostics Based on the OLS Estimates.
The Classical Linear Model: Hypothesis Testing.
Asymptotic Properties of Least Squares Methods.
The Instrumental Variables Method.
Linear Models for Panel Data.
Linear Simultaneous Equation Models.
Nonparametric Methods.
M-Estimators.
Adaptive and Robust Regression Estimators.
Models for Discrete Responses.
Models for Truncated and Censored Data.
References.
Appendix A: Review of Linear Algebra.
Appendix B: Methods of Numerical Maximization.
Appendix C: Review of Probability.
Appendix D: Elements of Asymptotic Theory.
Index.
Details
Erscheinungsjahr: | 2001 |
---|---|
Fachbereich: | Volkswirtschaft |
Genre: | Wirtschaft |
Rubrik: | Recht & Wirtschaft |
Medium: | Buch |
Inhalt: |
XXII
680 S. |
ISBN-13: | 9780471987642 |
ISBN-10: | 0471987646 |
Sprache: | Englisch |
Einband: | Gebunden |
Autor: | Peracchi, Franco |
Hersteller: |
Wiley
John Wiley & Sons |
Maße: | 240 x 161 x 42 mm |
Von/Mit: | Franco Peracchi |
Erscheinungsdatum: | 08.02.2001 |
Gewicht: | 1,211 kg |
Über den Autor
Franco Peracchi is a Professor of Econometrics at Tor Vergata University in Rome. he received an MSc in Econometrics from the London School of Economics in 1983 and a PhD in Economics from Princeton University in 1987. His research interests include econometric theory and methods, nonparametric and robust statistical methods, and labour economics. His work has been published in leading econometric and statistical journals.
Inhaltsverzeichnis
Preface.
Notation.
Regression Models.
Sampling.
Time Series.
Point Estimation.
Statistical Accuracy and Hypothesis Testing.
The Classical Linear Model: Estimation.
Violations of the Ideal Conditions for OLS.
Diagnostics Based on the OLS Estimates.
The Classical Linear Model: Hypothesis Testing.
Asymptotic Properties of Least Squares Methods.
The Instrumental Variables Method.
Linear Models for Panel Data.
Linear Simultaneous Equation Models.
Nonparametric Methods.
M-Estimators.
Adaptive and Robust Regression Estimators.
Models for Discrete Responses.
Models for Truncated and Censored Data.
References.
Appendix A: Review of Linear Algebra.
Appendix B: Methods of Numerical Maximization.
Appendix C: Review of Probability.
Appendix D: Elements of Asymptotic Theory.
Index.
Notation.
Regression Models.
Sampling.
Time Series.
Point Estimation.
Statistical Accuracy and Hypothesis Testing.
The Classical Linear Model: Estimation.
Violations of the Ideal Conditions for OLS.
Diagnostics Based on the OLS Estimates.
The Classical Linear Model: Hypothesis Testing.
Asymptotic Properties of Least Squares Methods.
The Instrumental Variables Method.
Linear Models for Panel Data.
Linear Simultaneous Equation Models.
Nonparametric Methods.
M-Estimators.
Adaptive and Robust Regression Estimators.
Models for Discrete Responses.
Models for Truncated and Censored Data.
References.
Appendix A: Review of Linear Algebra.
Appendix B: Methods of Numerical Maximization.
Appendix C: Review of Probability.
Appendix D: Elements of Asymptotic Theory.
Index.
Details
Erscheinungsjahr: | 2001 |
---|---|
Fachbereich: | Volkswirtschaft |
Genre: | Wirtschaft |
Rubrik: | Recht & Wirtschaft |
Medium: | Buch |
Inhalt: |
XXII
680 S. |
ISBN-13: | 9780471987642 |
ISBN-10: | 0471987646 |
Sprache: | Englisch |
Einband: | Gebunden |
Autor: | Peracchi, Franco |
Hersteller: |
Wiley
John Wiley & Sons |
Maße: | 240 x 161 x 42 mm |
Von/Mit: | Franco Peracchi |
Erscheinungsdatum: | 08.02.2001 |
Gewicht: | 1,211 kg |
Warnhinweis