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Foundations of Econometrics

Notice: Starting in spring 2016, the official class number is 220:222. Class 222 will be a required course for econ major and a prerequisite for econ 322 starting in fall 2016. Class 222 can also be used as a prerequisite for higher level quantitative class such as Financial Econometrics and Data Mining.

 

Foundations of Econometrics 222, Fall 2016

FE 222 is a computation oriented class where students learn modern statistical models using powerful softwares such as R and Stata. Starting in Fall 2016, the class integrates a wonderful learning web site DataCamp into the curriculum; in addition to learning from the class material, students have the opportunity to take courses to enhance their data analysis and programming skills in R and Python at DataCamp and earn certificates. Here is the link:

https://www.datacamp.com/

 

 

Foundations of Econometrics 367, Fall 2015 

 
Required Textbook (springer link via library)

Instruction: you can have access to the required textbook directly at school with Rutgers internet service or you can approach the book site by logging into library web site using your NetID and Password first while you are off-campus. Please feel to contact me if you have any questions.


Lecture Notes

Handout #1 (Stata Code)

Handout #2 (Stata Code)

Handout #3

Handout #4 (Stata Code)

Handout #5 (Stata Code)

Handout #6 (Stata Code)

Handout #7 (Stata Code)

Handout #8 (Stata Code)

the rest (Diagnostic checks on LR & Bayesian statistics) is coming soon!

 
Homework Solution

Sol_HW1  Sol_HW2  Sol_HW3  Sol_HW4  Sol_HW5 

 

Statistical computing software suggestion: Learn how to write your own estimators using matrix oriented language such as Matlab, R or SAS (IML module) plus be familiar with a canned package such as EViews or Stata.

 

 

Foundations and Applications of Econometrics 368, Spring 2015 

 
Lecture Notes

Handout #1 (R Code)

Handout #2 (R Code)

Handout #3 (R Code)

Handout #3 (supplement: probability theory)

Handout #4 (R Code)

Handout #5 (R Code)

Handout #6 (R Code)

 

 

*Homework Assignments and Solutions can be found on sakai