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John Stachurski jstac

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View 2021_qe_plan.md

Weekly schedule

Items to be tested each Monday morning and each Friday morning will include

  • 5 minute visual inspection of org site, lecture site, cheat sheets and notebooks sites.
View Untitled.ipynb
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@jstac
jstac / .vimrc
Created Jan 25, 2016
A basic vimrc
View .vimrc
""""""""""""""""""""""""""""""""""""""""""""""""""
" A basic vimrc
"
""""""""""""""""""""""""""""""""""""""""""""""""""
set background=dark " or light, you choose
set showmode " show the mode
set bs=2 " backspace over everything
set hlsearch " highlight search matches
set textwidth=78
View aiyagari_policies.ipynb
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View og_ecdf.py
"""
Generates estimates of the stationary distribution of a an optimal growth model with
Markov shocks discretized according to Tauchen's method. Estimates are via the
empirical distribution. Requires the quantecon package, which can be installed via
pip. See http://quant-econ.net/py/getting_started.html#the-quantecon-package
"""
import numpy as np
import matplotlib.pyplot as plt
import quantecon as qe
View summary
ECON3020 Special Topics in Economics: Computing and Data Skills
Summary
This course teaches data and computing skills with applications in economics.
On the economics side, the course will explore a sample of economic problems
using data and basic quantative techniques, such as visualization and
descriptive statistics. Possible topics include changes in the distribution
of wealth, income inequality, the size of cities, patterns of trade,
demographics, asset returns, credit and default risk and so on. On the
View cef_2014_workshop
{
"metadata": {
"name": "",
"signature": "sha256:03d597970d894f54df80639c0b48254a87a20595fa3f85ac00daf192cdc37424"
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [