Welcome to EC 339: Applied Econometrics!
Fall 2022 - Marcio Santetti - Economics Department, Skidmore College
Note: Slides and assignment files created with the xaringan
R package, with templates mainly inspired by Ed Rubin's CSS file.
Handout files created using Quarto.
Lecture 1: What is Econometrics?
Lecture 2: Stats/Stata refresher
- Data file:
cdc_data.csv
- Stata do-file:
000-stats-refresher.do
| To download, seetheSpring
module - R script:
000-stats-refresher.R
| To download, seetheSpring
module
Lecture 3: Simple Linear Regression
- Handout:
pdf
- Slides:
html
|pdf
- Data files:
star5_small.csv
&data description
|food.csv
- Stata do-file:
001-simple-regression.do
| To download, seetheSpring
module - R script:
001-simple-regression.R
| To download, seetheSpring
module
Lecture 4: Multiple Linear Regression
- Handout:
pdf
- Slides:
html
|pdf
- Data files:
mroz.csv
&data description
|fast_food.csv
&data description
- Stata do-file:
002-multiple-regression.do
| To download, seetheSpring
module - R script:
002-multiple-regression.R
| To download, seetheSpring
module
Lecture 5: The Classical Linear Regression Model (CLRM)
- Handout:
pdf
- Slides:
html
|pdf
- Stata do-file:
003-clrm.do
| To download, seetheSpring
module - R script:
003-clrm.R
| To download, seetheSpring
module
Lecture 6: Econometric Inference
- Handout:
pdf
- Slides:
html
|pdf
- Stata do-file:
004-inference.do
| To download, seetheSpring
module - R script:
004-inference.R
| To download, seetheSpring
module
Lecture 7: More on functional forms
- Handout:
pdf
- Slides:
html
|pdf
- Stata do-file:
005-functional-forms.do
| To download, seetheSpring
module - R script:
005-functional-forms.R
| To download, seetheSpring
module
Lecture 8: Violations of Classical Assumptions I: Omitted Variables Bias
- Handout:
pdf
- Slides:
html
|pdf
- Stata do-file:
006-ovb.do
| To download, seetheSpring
module - R script:
006-ovb.R
| To download, seetheSpring
module
Lecture 9: Violations of Classical Assumptions II: Multicollinearity
- Handout:
pdf
- Slides:
html
|pdf
- Stata do-file:
007-multicollinearity.do
| To download, seetheSpring
module - R script:
007-multicollinearity.R
| To download, seetheSpring
module
Lecture 10: Violations of Classical Assumptions III: Serial correlation
- Handout:
pdf
- Slides:
html
|pdf
- Stata do-file:
008-serial-correlation.do
| To download, seetheSpring
module - R script:
008-serial-correlation.R
| To download, seetheSpring
module
Lecture 11: Violations of Classical Assumptions IV: Heteroskedasticity
- Handout:
pdf
- Slides:
html
|pdf
- Stata do-file:
009-heteroskedasticity.do
| To download, seetheSpring
module - R script:
009-heteroskedasticity.R
| To download, seetheSpring
module
Lecture 12: Binary Dependent Variable Models
- Handout:
pdf
- Slides:
html
|pdf
- Stata do-file:
010-binary-models.do
| To download, seetheSpring
module - R script:
010-binary-models.R
| To download, seetheSpring
module
-
Problem Set 1
(due 10/12, before class)- Data set, data description, and submission instructions on
theSpring
assignment page.
- Data set, data description, and submission instructions on
-
Problem Set 2
(due 10/26, before class)- Data sets, data description files, and submission instructions on
theSpring
assignment page.
- Data sets, data description files, and submission instructions on
-
Problem Set 3
(due 11/22, midnight)- Data sets, data description files, and submission instructions on
theSpring
assignment page.
- Data sets, data description files, and submission instructions on
-
Problem Set 4
(due 12/09, midnight)- Data sets and data description files on
theSpring
.
- Data sets and data description files on
All quizzes will be posted on theSpring
.
Students must submit their Applied Research Projects until the Final Exam day.
Projects from previous semesters will be posted on theSpring
.