Lecture 9 2010 - I II Introduction A Introduction B 1...

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1 I. Introduction II. Statistical and Notational Preliminaries A. Introduction B. Elements of Statistical Theory 1. Prerequisites: Summarizing distributions, point estimation, interval estimation, hypothesis testing. 2. Bivariate measures: covariance and correlation. 3. Expected Values. 4. Estimators and Desirable Properties III. Simple Regression ( Gujarati: Chs. 1 and 5 ) A. Introduction: Moving on to Regression. ± Correlation: ± Regression : ± Econometrics –starts with Economics . Example : • Consumers: Max : Utility; St: budget. •W h a t do we learn from theory? 9 Demand depends on … 9 Demand function slopes … •T h e o r y provides: 9 Model – 9 Expectations –
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2 2. Methodology – estimation and evaluation. ± How do we estimate econometric models? 9 Point estimators 9 Interval estimators ± Evaluate estimators. What properties? B. Population Regression Equation (
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This note was uploaded on 12/08/2011 for the course ECON 312 taught by Professor Daniellass during the Winter '10 term at UMass (Amherst).

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Lecture 9 2010 - I II Introduction A Introduction B 1...

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