02081nam a2200289Ia 4500001001000000003000600010005001700016008004100033020001800074020001500092035002100107040003200128082001900160092002400179100003000203245006300233250003300296260003400329300003300363504006600396505114100462650002301603700002001626942001401646999001501660952011601675294888363OCoLC20160123152835.0081229s2009    maua          001 0 eng d  a9780071276252  a0071276254  a(OCoLC)226356768  acuckccuckdcuckdcuckbeng04a330.015195222  a330.015195 GUJARATI1 aGujarati, Damodar N.912010aBasic 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.94961 aPorter, Dawn C.  2lcccBOOK  c5192d5192  00102lcc4070a001b001d2016-01-23i015212oHB139.G84.2009p015212r2016-01-23 00:00:00t1w2016-01-23yBOOK