Fundamentals of Econometics / B.C. Matha.

By:

Matha, B.C

Material type: Text

TextPublication details: New Delhi: Himalaya Publishing House, 2010.Description: 496 pISBN:

8183181910

DDC classification:

23 330.015195 MEH

Contents:

1. Introduction; 2. Probability and theory of statistical interference; 3. Elements of matrix algebra; 4. The classical two variable linear regression model; 5. Multivariate linear regression model-I: Three variable models; 6. Multivariate linear regression model-II: The general model; 7. Prediction; 8. Binary or dummy variables; 9. Specifications errors; 10. Non-linearity; 11. Multicollinearity; 12. Autocorrelation; 13. Hetroscedasticity; 14. Errors in variables; 15. Lags; 16. Some multivariate problems and methods; 17. Simultaneous equation models: identifications; 18. Simultaneous equation models: Estimation;

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode
Books	Tetso College Library Economics	Non-fiction	330.015195 MEH (Browse shelf(Opens below))	Available		7161
Books	Tetso College Library Economics	Non-fiction	330.015195 MEH (Browse shelf(Opens below))	Available		7162

Browsing Tetso College Library shelves, Shelving location: Economics, Collection: Non-fiction Close shelf browser (Hides shelf browser)

Previous			No cover image available					Next
Previous	330.0151 SYD Mathematics for Economic Analysis	330.015195 GUJ Basic econometrics /	330.015195 GUJ Econometrics by Example /	330.015195 MEH Fundamentals of Econometics /	330.015195 MEH Fundamentals of Econometics /	330.015195 SAR Mathematices methods : For Economics-1/	330.01595 MAD Introduction to Econometrics /	Next

1. Introduction;
2. Probability and theory of statistical interference;
3. Elements of matrix algebra;
4. The classical two variable linear regression model;
5. Multivariate linear regression model-I: Three variable models;
6. Multivariate linear regression model-II: The general model;
7. Prediction;
8. Binary or dummy variables;
9. Specifications errors;
10. Non-linearity;
11. Multicollinearity;
12. Autocorrelation;
13. Hetroscedasticity;
14. Errors in variables;
15. Lags;
16. Some multivariate problems and methods;
17. Simultaneous equation models: identifications;
18. Simultaneous equation models: Estimation;

There are no comments on this title.

to post a comment.