ECO 231W

Undergraduate Econometrics

ECO 231W Class Plan


  • 01/18 First class

    Material: Introduction, scientific questions, causality and experiments.

    Reading:
    Notes 1. You can also check Freedman Chapter 1.

  • 01/23 Class

    Material: Real world experiments. Observational studies, confounding.

    Reading:
    Notes 2. You can also check Freedman chapter 2

  • 01/25 Class

    Material: Confounders.

    Reading: Notes 3.

  • 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 brush-up on the pre-requisite 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

    Material: Continuing regression. Regression residuals

    Reading: Notes 5. You can also read Freedman chapters 11 and 12.

  • 02/06 No class
  • 02/08 Class

    Material: Multivariate regression method.

    Reading: Notes 6.

  • 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 pre-requisite 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

    Material: Qualitative variables.

    Comments: Notes 9. You can also check Freedman's book p. 42-44.

  • 02/22 Class

    Material: Incorporating non-linear relations into the model. Interactions.

    Reading: Notes 10.

  • 02/24 Homework 2

    Stata homework 2 due. Details will be published in the announcements page.

  • 02/27 No class

    I will be out of town.

  • 03/01 No class

    I will be out of town.

  • 03/06 Review for Midterm 1
    This session will be hosted by a TA. See details in the announcements page.
  • 03/08 Midterm 1

    Details will be published in the announcements page.

  • 03/13 Spring Break
  • 03/15 Spring Break
  • 03/20 Class

    Material: Relating the OLS regression method to the linear model: theorems of unbiasedness, and variance of the OLS estimator.

    Reading: Notes 11.

  • 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 381-383 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. 381-386.

  • 03/27 Class

    Material: Hypothesis Testing. The t-test. Significance.

    Reading before class: It is strongly suggested that you review hypothesis testing before this class. Use the book of your pre-requisite 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

    Material: p-values, and the F-test

    Reading: Notes 14. You can also read Freedman's book chapter 29.

  • 03/31 Replication

    Replication due. Details will be published in the announcements page.

  • 04/03 Class
    Material: Model failures. Failure of assumption 3: heteroskedasticity. Failure of assumption 1: endogeneity.


    Reading: Notes 15

  • 04/05 Class
    Material: Model failures. Failure of assumption 1: endogeneity due to omitted variables, continuation. Failure of assumption 1: superfluous variables. Proxy variables.


    Reading: Notes 16

  • 04/10 Review for Midterm 2
    This session will be hosted by a TA. See details in the announcements page.
  • 04/12 Midterm 2

    Details will be published in the announcements page.

  • 04/17 Class
    Material: Model failures. Failure of assumption 1: scaled variables. Failure of assumption 1: misspecification.


    Reading: Notes 17.

  • 04/19 Class
    Material: Data failures. Failure of assumption 2: measurement error.

    Reading: Notes 18. You can also read Freedman's book chapters 6 and 24
  • 04/24 Class
    Material: Data failures. Failure of assumption 2: sample selection and missing data. Failure of assumption 2: multicollinearity and near multicollinearity.


    Reading: Notes 19

  • 04/26 Project Special Session 1
    This session will be hosted by a TA. See details in the announcements page.
  • 05/01 Final Class
    Material: Research

    Reading: Notes 20.
  • 05/03 Project Special Session 2
    This session will be hosted by a TA. See details in the announcements page.
  • 05/05 Project

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

  • 05/08 Final MW 3:25-4:40 group

    At 8:30 a.m. Details will be published in the announcements page.

  • 05/09 Final MW 12:30-1:45 group

    At 8:30 a.m. Details will be published in the announcements page.