01854nam a2200241Ia 4500001001000000003000600010005001700016008004100033020001800074020001500092035002100107040003200128082001900160100002500179245006300204250003300267260003400300300003300334504006600367505114100433650001801574700002001592294888363OCoLC20160123152835.0081229s2009    maua          001 0 eng d  a9780071276252  a0071276254  a(OCoLC)226356768  acuckccuckdcuckdcuckbeng04a330.0151952221 aGujarati, Damodar N.10aBasic econometrics /cDamodar N. Gujarati, Dawn C. Porter.  a5th ed. ( international ed.)  aBoston :bMcGraw-Hill,c2009.  axx, 922 p. :bill. ;c26 cm.  aIncludes bibliographical references (p. 902-903) and indexes.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 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. 0aEconometrics.1 aPorter, Dawn C.