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• Lecture 1: Probability and Distribution Basics.
• Lecture 2: Joint Distributions.
• Lecture 3: Introduction to Estimation and Inference.
• Lecture 4: Simple Linear Regression.
• Lecture 5: More About Simple Regression.
• Lecture 6: The k-Variable Linear Model 1.
• Lecture 7: The k-Variable Linear Model 2.
• Lecture 8: The k-Variable Linear Model 3.
• Lecture 9: k-Variable Linear Model Miscellany.
• Lecture 10: Introduction to Asymptotic Theory, revised March 16, 2010.
• Lecture 11: Asymptotics of Least Squares.
• Lecture 12: Asymptotic Properties of Maximum Likelihood
• Lecture 13: Asymptotic Testing
• Lectures 14-15: Simultaneous Equations Models and Instrumental Variables
• Lecture 16: Introduction to Nonlinear Models
• Lecture 17: The Generalized Method of Moments