01953nam a2200277Ia 4500 294888363 OCoLC 20160123152835.0 081229s2009 maua 001 0 eng d 9780071276252 0071276254 (OCoLC)226356768 cuck cuck cuck cuck eng 330.015195 22 330.015195 GUJARATI Gujarati, Damodar N. 120 Basic econometrics / Damodar N. Gujarati, Dawn C. Porter. 5th ed. ( international ed.) Boston : McGraw-Hill, 2009. xx, 922 p. : ill. ; 26 cm. 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 models -- Multicollinearity : what happens if the regressors are correlated? -- Heteroscedasticity : what happens if the error variance is nonconstant? -- Autocorrelation : what happens if the error terms are correlated? -- Econometric 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. Econometrics. 496 Porter, Dawn C. lcc BOOK 5192 5192 0 0 lcc 0 0 001 001 2016-01-23 015212 HB139.G84.2009 015212 2016-01-23 00:00:00 1 2016-01-23 BOOK