000			02117nam a2200229 a 4500
999			_c387 _d387
003			OSt
005			20200120144141.0
008			091230s2009 maua b 001 0 eng
020			_a9780071276252
040			_aAE-AiULD _beng _cDLC
050		0	_aHB139 _b.G84 2009
100	1		_aGujarati, Damodar N. _9597
245	1	0	_aBasic econometrics / _cDamodar N. Gujarati, Dawn C. Porter.
250			_a5th ed.
260			_aBoston : _bMcGraw-Hill Irwin, _cc2009.
300			_axx, 922 p. : _bill. ; _c26 cm.
504			_aIncludes bibliographical references (p. 902-903) and indexes.
505	0		_aIntroduction -- 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.
650		0	_aEconometrics. _9598
700	1		_aPorter, Dawn C. _9599
942			_2lcc _cBK