**Lecture Notes**

**ECON 30331/Econometrics**

**Spring 2016**

·
**Class introduction, moving from correlation
to causation, Wednesday, January 13: [Download notes in PPT
handout mode]**

·
**Chapter 2, The bivariate regression model,
January 18/20 [Download PPT notes]**

** Some simulations that help explain
unbiased estimates**

**Detailed derivations. This is a 15-page handout that includes all
the important derivations I will do at the board for this chapter, the topics
include:**

·
**Important properties of summations**

·
**Deriving the OLS estimates**

·
**Deriving the R-squares**

·
**OLS estimates are unbiased**

·
**The variance of OLS estimates**

·
**Chapter 3, The
multivariate regression model, January 25/27**

** PPT notes, Chapter 3**

**Detailed
derivations for multivariate
models. The topics include**

·
**Deriving the
estimates in multivariate models**

·
**Omitted variables
bias in the multivariate model**

·
**The “partialling” out property of multivariate models**

·
**A note on variances
in multivariate models**

·
**Chapter
4, Statistical inference, Feb 3, 8**

** PPT notes, Part 1: Inference about 1
parameter**

** PPT notes, Part 2: Tests of multiple parameters**

·
**Chapter 7, Dummy variables in regression
models, Feb 10, 15**

** PPT notes, Chapter 7**

** Review Sheet – how to interpret regression coefficients
**

·
**The Potential Outcomes Framework,
Feb 15**

·
**Notes for articles**

** Finkelstein et al., Oregon Health Insurance
Experiment, Feb 15**

** Sacerdote, Testing for nature
vs. nurture, Feb 17**

** Black, How
parents’ value school quality, Feb 17, **

** Dale
and Krueger, The returns for attending a more selective college, Feb 22**

·
**Chapter 5, Large sample properties of OLS
estimates, March 14/16 [Download PPT
notes]**

**Notes on the consistency of OLS estimates**

**Notes on measurement error in X**

·
**Chapter 10-12 – Some topics in Time Series
Analysis**

** Time Series, Part I, PPT slide show, March 16/21**

** Detailed derivations: Chapter 11:
Autocorrelated
processes**

** The
Efficient Market Hypothesis, March 21**

** Notes
for Wilcox paper, March 23**

** Time Series, Par II, PPT slide show, March 23/30**

** Detailed derivations: Chapter 12:
Autocorrelated
errors**

** Critical values for Durbin-Watson Statistic
(Use Table A2)**

·
**Chapter 13/14
– Pooled time series/cross sectional data sets**

** **

** Lecture notes, part 1 (plus Meyer et
al., Card and Krueger), PPT slide show,
March 30, April 4**

** Lecture notes, part 2 (plus Ayers
and Levitt), PPT
slide show, April 4, 6**

·
**Chapter 15 – Two-stage least squares, April
6, 11, 13, 18**

** Slides and paper tables PPT slides**

·
**Regression discontinuity design models, April
18, 20, 25**