3.9 — Logarithmic Regression - Class Notes
Contents
Thursday, November 5, 2020
Overview
Today, we finish up our view of nonlinear models with logarithmic models, which are more frequently used. We also discuss a few other tests and transformations to wrap up multivariate regression before we turn to panel data: standardizing variables to compare effect sizes, and joint hypothesis tests.
Interpretting logged variables can often be difficult to remember, so here I reproduce the tables that describe the interpretations of the marginal effect of X→Y, as well as some visual examples from the slides:
| Model | Equation | Interpretation |
|---|---|---|
| Linear-Log | Y=β0+β1ln(X) | 1% change in X→^β1100 unit change in Y |
| Log-Linear | ln(Y)=β0+β1X | 1 unit change in X→^β1×100% change in Y |
| Log-Log | ln(Y)=β0+β1ln(X) | 1% change in X→^β1% change in Y |
- Hint: the variable that gets logged changes in percent terms, the variable not logged changes in unit terms
| Linear-Log | Log-Linear | Log-Log |
|---|---|---|
 |
 |
 |
| ^Yi=^β0+^β1ln(Xi) | ln(^Yi)=^β0+^β1Xi | ln(^Yi)=^β0+^β1ln(Xi) |
| R2=0.65 | R2=0.30 | R2=0.61 |
Slides
Practice Problems
Today you will be working on newpractice problems (on nonlinear models). Answers will be posted on that page later.
Assignments: Problem Set 5 (Due Sun Nov 8)
Homework 5 (on 3.1-3.5) is due by 11:59 PM Sunday November 8. This is likely your final graded homeworkIn the past, I have always released a HW 6 on Imperfect Competition just for practice for the Final Exam.
Live Class Session on Zoom
The live class Zoom meeting link can be found on Blackboard (see LIVE ZOOM MEETINGS on the left navigation menu), starting at 11:30 AM.
If you are unable to join today’s live session, or if you want to review, you can find the recording stored on Blackboard via Panopto (see Class Recordings on the left navigation menu).