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Undergraduate Ökonometrie, mit EViews für von R. Carter Hill, W mit CD
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Artikelmerkmale
- Artikelzustand
- Title
- Undergraduate Econometrics, Using EViews For
- ISBN
- 9780471412397
Über dieses Produkt
Product Identifiers
Publisher
Wiley & Sons, Incorporated, John
ISBN-10
0471412392
ISBN-13
9780471412397
eBay Product ID (ePID)
1759989
Product Key Features
Number of Pages
192 Pages
Publication Name
Undergraduate Econometrics
Language
English
Publication Year
2000
Subject
Econometrics
Features
Revised
Type
Textbook
Subject Area
Business & Economics
Format
Trade Paperback
Dimensions
Item Height
0.4 in
Item Weight
17.4 Oz
Item Length
10.8 in
Item Width
8.5 in
Additional Product Features
Edition Number
2
Intended Audience
College Audience
LCCN
2002-279638
Dewey Edition
21
Illustrated
Yes
Dewey Decimal
330.015195
Table Of Content
Preface. List of Workfiles. Chapter 1. Introduction to EViews. Chapter 2. Computing Normal Probabilities. Chapter 3. The Simple Linear Regression Model: Specification and Estimation. Chaoter 4. Properties of the Least Squares Estimators. Chapter 5. Inference in the Simple Regression Model. Chapter 6. The Simple Linear Regression Model: Reporting th Results and Choosing the Functional Form. Chapter 7. The Multiple Regression Model. Chapter 8. Further Inference in th Multiple Regression Model. Chapter 9. Dummy (Binary) Variables. Chapter 10. Nonlinear Models. Chapter 11. Heteroskedasticity. Chapter 12. Autocorrelation. Chapter 13. Random Regression and Moment Based Estimation. Chapter 14. Simultaneous Equations Models. Chapter 15. Distributed Lag Models. Chapter 16. Regression with Time Series Data. Chapter 17. Pooling Time-Series and Cross-Sectional Data. Chapter 18. Qualitative and Limited Dependent Variable Models. Chapter 19. Obtaining Economic Data from the Internet.
Edition Description
Revised edition
Synopsis
This book explores econometrics using an intuitive approach that begins with an economic model. It emphasizes motivation, understanding, and implementation and shows readers how economic data are used with economic and statistical models as a basis for estimating key economic parameters, testing economic hypotheses and predicting economic outcomes.
LC Classification Number
HB139.H549 2001
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