Buch, Englisch, 608 Seiten, Print PDF, Format (B × H): 189 mm x 246 mm, Gewicht: 1187 g
Buch, Englisch, 608 Seiten, Print PDF, Format (B × H): 189 mm x 246 mm, Gewicht: 1187 g
ISBN: 978-0-19-967682-8
Verlag: Oxford University Press
Introduction to Econometrics provides students with clear and simple mathematics notation and step-by-step explanations of mathematical proofs, to give them a thorough understanding of the subject. Extensive exercises throughout build confidence by encouraging students to apply econometric techniques.
Retaining its student-friendly approach, Introduction to Econometrics has a comprehensive revision guide to all the essential statistical concepts needed to study econometrics, additional Monte Carlo simulations, new summaries, and non-technical introductions to more advanced topics at the end of chapters.
This book is supported by online resources, which include:
For lecturers:
· Instructor's manual for the text and data sets, detailing the exercises and their solutions.
· Customizable PowerPoint slides.
For students:
· Data sets referred to in the book.
· A comprehensive study guide offers students the opportunity to gain experience with econometrics through practice with exercises.
· Software manual.
· PowerPoint slides with explanations.
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
- Introduction
- Review: Random Variables, Sampling, Estimation and Inference
- 1: Simple Regression Analysis
- 2: Properties of the Regression Coefficients and Hypothesis Testing
- 3: Multiple Regression Analysis
- 4: Nonlinear Models and Transformations of Variables
- 5: Dummy Variables
- 6: Specification of Regression Variables
- 7: Heteroskedasticity
- 8: Stochastic Regressors and Measurement Errors
- 9: Simultaneous Equations Estimation
- 10: Binary Choice and Limited Dependent Variable Models, and Maximum Likelihood Estimation
- 11: Models Using Time Series Data
- 12: Autocorrelation
- 13: Introduction to Nonstationary Time Series
- 14: Introduction to Panel Data Models




