Basic econometrics Damodar N. Gujarati, Dawn C. Porter.
By: Gujarati, Damodar N
Contributor(s): Porter, Dawn C
Material type: 
TextLanguage: English Publisher: Boston : McGraw-Hill, 2009; New Delhi, Tata McGraw Hill Education Private ltd. 2012Edition: 5th edDescription: xxiii, 886 p. : ill. ; 24 cmISBN: 9780071276252; 0071276254; 9780071333450; 0071333452Subject(s): EconometricsDDC classification: 330.015195 GUB Online resources: WorldCat details | E-book Fulltext | Item type | Current location | Collection | Call number | Copy number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|---|---|
E-Book
|
EWU Library E-book | Non-fiction | 330.015195 GUB 2009 (Browse shelf) | Not For Loan | ||||
Text
|
EWU Library Reserve Section | Non-fiction | 330.015195 GUB 2009 (Browse shelf) | C-1 | Not For Loan | 25590 | ||
|
Text
|
EWU Library Reserve Section | Non-fiction | 330.015195 GUB 2009 (Browse shelf) | C-2 | Available | 25591 | ||
|
Text
|
EWU Library Circulation Section | Non-fiction | 330.015195 GUB 2009 (Browse shelf) | C-3 | Checked out | 28/08/2019 | 25592 |
Browsing EWU Library shelves, Shelving location: E-book Close shelf browser
|
|
|
|
|
|
|
||
| 330.015195 GRE 2008 Econometric analysis / | 330.015195 GRE 2012 Econometric analysis / | 330.015195 GUB 2003 Basic econometrics / | 330.015195 GUB 2009 Basic econometrics | 330.015195 HSA 2014 Analysis of panel data / | 330.015195 JOE 1997 Econometric methods / | 330.015195 JUN 1998 Numerical methods in economics / |
Includes bibliographical references (p. 902-903) and indexes.
Introduction --
Nature of regression analysis --
Two-variable regression analysis : some basic ideas --
Two-variable regression model: the problem of estimation --
Classical normal linear regression model --
Two-variable regression: interval estimation and hypothesis testing --
Extensions of the two-variable linear regression model --
Multiple regression analysis : the problem of estimation --
Multiple regression analysis : the problem of inference --
Dummy variable regression model --
Multicollinearity : what happens in the regressors are correlated? --
Heteroscedasticity: what happens if the error variance is nonconstant? --
Autocorrelation: what happens if the error terms are correlated? --
Economic modeling: model specification and diagnostic testing --
Nonlinear regression models --
Qualitative response regression models --
Panel data regression models --
Dynamic econometric models : autoregressive and distributed-lag models --
Simultaneous-equation models --
Identification problem --
Simultaneous-equation methods --
Time series econometrics : some basic concepts --
Time series econometrics : forecasting --
Appendix A : a review of some statistical concepts --
Appendix B : rudiments of matrix algebra --
Appendix C : matrix approach to linear regression model --
Appendix D : statistical tables --
Appendix E : computer output of EViews, MINITAB, Excel, and STATA --
Appendix F : economic data on the World Wide Web.
Computer Science & Engineering
There are no comments for this item.