Computer Labs
We will be programming in the Julia language, and we access Julia from the VS Code editor.
Your typical workflow starts by starting VS Code and then opening a so-called Jupyter notebook which contains your coding exercises.
You can find all the Jupyter notebooks in my public Github repo
Here is a brief overview of what we cover during the next 12 weeks:
Week |
Topic covered in the computer labs |
|---|---|
1 |
no labs |
2 |
First steps in VS Code, Jupyter, and Julia |
3 |
Simulating the weak law of large numbers |
4 |
Simulating the central limit theorem |
5 |
OLS estimation of return to schooling |
6 |
IV estimation of return to schooling |
7 |
2SLS estimation of return to schooling |
8 |
Monte Carlo simulation of a schooling model |
9 |
Empirical power analysis under weak IV |
10 |
Maximum likelihood estimation |
11 |
Probit and logit estimation |
12 |
MLE of the normal regression model |