Product details:
| ISBN13: | 9783030801571 |
| ISBN10: | 3030801578 |
| Binding: | Paperback |
| No. of pages: | 434 pages |
| Size: | 235x155 mm |
| Weight: | 676 g |
| Language: | English |
| Illustrations: | 1 Illustrations, black & white |
| 477 |
Category:
Solutions Manual for Econometrics
Series:
Classroom Companion: Economics;
Edition number: 4th ed. 2022
Publisher: Springer
Date of Publication: 8 December 2022
Number of Volumes: 1 pieces, Book
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Publisher's listprice:
EUR 53.49
EUR 53.49
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Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
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Short description:
This Fourth Edition updates the "Solutions Manual for Econometrics" to match the Sixth Edition of the Econometrics textbook. It adds problems and solutions using latest software versions of Stata and EViews. Special features include empirical examples replicated using EViews, Stata as well as SAS. The book offers rigorous proofs and treatment of difficult econometrics concepts in a simple and clear way, and provides the reader with both applied and theoretical econometrics problems along with their solutions. These should prove useful to students and instructors using this book.
Long description:
This Fourth Edition updates the "Solutions Manual for Econometrics" to match the Sixth Edition of the Econometrics textbook. It adds problems and solutions using latest software versions of Stata and EViews. Special features include empirical examples replicated using EViews, Stata as well as SAS. The book offers rigorous proofs and treatment of difficult econometrics concepts in a simple and clear way, and provides the reader with both applied and theoretical econometrics problems along with their solutions. These should prove useful to students and instructors using this book.
Table of Contents:
What Is Econometrics?.- A Review of Some Basic Statistical Concepts.- Simple Linear Regression.- Multiple Regression Analysis.- Violations of the Classical Assumptions.- Distributed Lags and Dynamic Models.- The General Linear Model: The Basics.- Regression Diagnostics and Specification Tests.- Generalized Least Squares.- Seemingly Unrelated Regressions.- Simultaneous Equations Model.- Pooling Time-Series of Cross-Section Data.- Limited Dependent Variables.- Time-Series Analysis.
