Estimation and inference in econometrics /
by Davidson, Russell; MacKinnon, James G.
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Partial contents:
The Geometry of Least Squares -- Nonlinear Regression Models and Nonlinear Least Squares -- Inference in Nonlinear Regression Models -- Introduction to Asymptotic Theory and Methods -- Asymptotic Methods and Nonlinear Least Squares -- The Gauss-Newton Regression -- Instrumental Variables -- The Method of Maximum Likelihood -- Maximum Likelihood and Generalized Least Squares -- Serial Correlation -- Tests Based on the Gauss-Newton Regression -- Interpreting Tests in Regression Directions -- The Classical Hypothesis Tests -- Transforming the Dependent Variable -- Qualitative and Limited Dependent Variables -- Heteroskedasticity and Related Topics -- The Generalized Method of Moments -- Simultaneous Equations Models -- Regression Models for Time-Series Data -- Unit Roots and Cointegration -- Monte Carlo Experiments -- App. A: Matrix Algebra -- App. B: Results from Probability Theory.
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