ECO 231W Class Plan

01/18 First class

01/23 Class

01/25 Class

01/30 Class
Material: Review about notation. Beginning regression.
Reading: Notes 4. This class covers chapter 10 and a bit of chapter 12 on Freedman's book.
Prepare for this class: We will begin to work with a few mathematical formulas. If you need to brushup on the prerequisite material, you could read chapters 4, 8 and 9 on Freedman or check a few of the videos linked here. Overall you do well to revise concepts such as variance, covariance and correlation before this class. 
02/01 Class

02/06 No class

02/08 Class

02/10 Homework 1
Stata homework 1 due. Details will be published in the announcements page.

02/13 Class
Material: Goodness of fit. Linear model.
Reading before class: It is strongly suggested that you review expectations and conditional expectations before this class. Use the book of your prerequisite courses, or at the very least watch the expectation videos here.
Reading: Notes 7 
02/15 Class
Material: Continue with the linear model. Linearity and interpretation.
Reading before class: You can benefit from reviewing the material about linear equations in the videos here.
Reading: Notes 8. 
02/20 Class

02/22 Class

02/24 Homework 2
Stata homework 2 due. Details will be published in the announcements page.

02/27 No class

03/01 No class

03/06 Review for Midterm 1

03/08 Midterm 1
Details will be published in the announcements page.

03/13 Spring Break

03/15 Spring Break

03/20 Class

03/22 Class
Material: Continuation of the variance of the OLS estimator. Gauss Markov theorem. Confidence intervals.
Reading before class: The material that begins in the end of this class, and continues until the end of hypothesis testing in the following two classes is often considered the hardest in this course by many students. It is a good idea to do some reading before class, which will makes things easier. For example, pages 381383 in Freedman's book are a good start, and you can also search online for "confidence interval." Additionally, you can review the material about the normal curve in your Statistics book, or read chapter 5 in Freedman's book, especially part 5 in page 92. Finally, you can gain a much deeper understanding of the material, especially where does the randomness come from, if you read chapter 19 in Freedman's book, which discusses surveys (remember that the intense majority of data we use comes from surveys). You can also watch the videos about the normal curve and confidence intervals here.
Reading: Notes 12. You can also read Freedman's book p. 381386. 
03/27 Class
Material: Hypothesis Testing. The ttest. Significance.
Reading before class: It is strongly suggested that you review hypothesis testing before this class. Use the book of your prerequisite courses. Alternatively, you can read chapter 26 in Freedman's book, or watch the hypothesis testing videos here.
Reading: Notes 13. You can also read Freedman's book chapter 26 
03/29 Class

03/31 Replication
Replication due. Details will be published in the announcements page.

04/03 Class

04/05 Class

04/10 Review for Midterm 2

04/12 Midterm 2
Details will be published in the announcements page.

04/17 Class

04/19 Class

04/24 Class

04/26 Project Special Session 1

05/01 Final Class

05/03 Project Special Session 2

05/05 Project
Project due. Details will be published in the announcements page.

05/08 Final MW 3:254:40 group
At 8:30 a.m. Details will be published in the announcements page.

05/09 Final MW 12:301:45 group
At 8:30 a.m. Details will be published in the announcements page.