000			01933 a2200205 4500
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008			240226b |||||||| |||| 00| 0 eng d
020			_a9788131524657
040			_cCUS
082			_a330.015195 _bWOD/I
100			_aWooldridge, Jeffrey M.
245			_aIntroductory econometric: a modern approach / _cJeffrey M. Wooldridge
250			_a5th ed.
260			_aNew Delhi ; _bCengage learning, _c2013.
300			_axxvii, 878 p. _bPB
505			_aThe nature of econometrics and economic date -- Regression analysis with cross-sectional data. The simple regression model ; Multiple regression analysis : estimation ; Multiple regre4ssion analysis : inference ; Multiple regression analysis : OLS asymptotics ; Multiple regression : further issues ; Multiple regression analysis with qualitative information : binary (or dummy) variables ; Heteroskedasticity ; More on specification and data issues -- Regression analysis with time series data. Basic regression analysis with time series data ; Further issues in using OLS with time series data ; Serial correlation and heteroskedasticity in time series regressions -- Advances topics. Pooling cross sections across time : simple panel data methods ; Advanced panel data methods ; Instrumental variables estimation and two stage least squares ; Simultaneous equations models ; Limited dependent variable models and sample selection corrections ; Advanced time series topics ; Carrying out an empirical project ; Appendix A. Basic mathematical tools -- Appendix B. Fundamentals of probability -- Appendix C. Fundamentals of mathematical statistics -- Appendix D. Summary of matrix algebra -- Appendix E. The linear regression model in matrix form -- Appendix F. Answers to chapter questions -- Appendix G. Statistical tables. Responsibility: Jeffrey M. Wooldridge.
650			_a Econometrics. _925640
942			_cWB16 _2ddc
999			_c193616 _d193616