Basic econometrics Damodar N. Gujarati, Dawn C. Porter.

By: Gujarati, Damodar N Contributor(s): Porter, Dawn C Material type: Text

TextLanguage: English Publication details: Boston : McGraw-Hill, 2009. ; New Delhi, Tata McGraw Hill Education Private ltd. 2012 Edition: 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

Contents:

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.

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Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
E-Book	Dr. S. R. Lasker Library, EWU E-book	Non-fiction	330.015195 GUB 2009 (Browse shelf(Opens below))		Not For Loan
Text	Dr. S. R. Lasker Library, EWU Reserve Section	Non-fiction	330.015195 GUB 2009 (Browse shelf(Opens below))	C-1	Not For Loan		25590
Text	Dr. S. R. Lasker Library, EWU Reserve Section	Non-fiction	330.015195 GUB 2009 (Browse shelf(Opens below))	C-2	Available		25591
Text	Dr. S. R. Lasker Library, EWU Circulation Section	Non-fiction	330.015195 GUB 2009 (Browse shelf(Opens below))	C-3	Checked out	16/09/2025	25592

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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.

CSE

Tahur Ahmed

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