nyu-econ-370 - GitLite

KO | EN

gitlite — search

#javascript #hacktoberfest #android #machine-learning #deep-learning #macos #windows #awesome #kubernetes #security #pytorch #mcp #openai #open-source

nyu-econ-370

(★ 60)

Quantitative Economics with Python Course (NYU) Spring 2016

파일 탐색기

최종 버전 다운로드 (.zip)

- assignment-1-feedback.ipynb
- assignment-1.pdf
- assignment-2-feedback.ipynb
- assignment-2.pdf
- assignment-3-solutions.ipynb
- assignment-3.ipynb
- assignment-4-lake-model.ipynb
- assignment-5-pandas-data-python-solutions.ipynb
- assignment-5-pandas-data-python.ipynb
- assignment5-question1-image1.png
- assignment5-question2-image1.png
- assignment6-asset-pricing-solutions.ipynb
- assignment6-asset-pricing.ipynb
- simple.c
- simple.py
- simple.s
- test.py
- white_noise.py
- final-exam-solutions.pdf
- asset-pricing-lecture1.pdf
- asset-pricing-lecture2.pdf
- asset-pricing-lecture3.pdf
- asset-pricing-lecture4.pdf
- lake_model_analytical_mccall.pdf
- lake_model_endogenous_search.pdf
- lake_model_worker_dynamics.pdf
- lecture-1.pdf
- lecture-2.pdf
- lecture-3.pdf
- lecture-4.pdf
- lecture-5.pdf
- lecture-6.pdf
- lecture-7.pdf
- lecture-8.pdf
- lecture-lake-model.pdf
- lecture-working-with-data-in-python.pdf
- midterm.pdf
- - ae0545d9-7b57-4c37-9db1-91859e7bd5c3_v2.xls
  - book-war-and-peace.txt
  - gravity_dataset_2013.csv
- data.asv
- dataframe.jpg
- demo-gravity-model-regression.ipynb
- demo-lake-model.ipynb
- demo-schelling.ipynb
- demo-utility-budgetconstraint.ipynb
- intro-object-oriented-programming.ipynb
- intro-python-and-data-analysis.ipynb
- intro-to-jupyter-notebooks.ipynb
- intro-to-matplotlib.ipynb
- intro-to-numpy.ipynb
- intro-to-python-two.ipynb
- intro-to-python.ipynb
- lake-model-demo.py
- lake.py
- Lake_model.ipynb
- Linear_state_space-version2.ipynb
- Linear_state_space.ipynb
- markov-applications.ipynb
- McCall.ipynb
- midterm-solutions.ipynb
- notes-linear-algebra.ipynb
- pandas-explore-fred-data.ipynb
- python-fundamentals-workshop-solutions.ipynb
- python-fundamentals-workshop.ipynb
- rca-balassa.png
- schelling.py
- split-apply-combine.png
- white_noise.py
- python-reference-sheet-extended.pdf
.gitignore
environment.yml
install-local-guide.pdf
README.md
syllabus.pdf

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

### Quantitative Economics with Python

---

**ECON-UA 370 (NYU, Spring 2016)**

This course aims to teach quantitative economics and the computer language python. We
use python to teach economics and economics to teach python.

---

### Notices

**Final Exam** will be held as per the **officially** scheduled timetable on 12th May.

For those students who have **conflicting exams** or have **3 or more exams** on the same day please send me an email. There is an alternative exam scheduled for 13th May from 2:00pm to 3:50pm. To attend on Friday you **must** be registered to sit this exam.

**Alternative Exam Details**

|              |               |
|--------------|---------------|
| **Date:**    | 13th May 2016 |
| **Time:**    | 2:00pm to 3:50pm |
|**Location:** | Rm 736 [19 W. 4th Street, 7FL - Economics] |

Solutions to Assignment \#4 were effectively covered when we discussed the midterm solutions to the Lake Model question in class. Please consult your class notes.

**Note** To get the best rendering for notebooks it is best to use nbviewer. This can be done by prepending the notebook web address with http://nbviewer.jupyter.org/github/. An example is:

http://nbviewer.jupyter.org/github/mmcky/nyu-econ-370/blob/master/notebooks/notes-linear-algebra.ipynb

Please submit assignments to: econ370nyu@gmail.com as a Jupyter notebook with your solutions.

For those that attended the Python Fundamentals Workshop. The solutions notebook has been posted to the ``notebooks`` folder.

### Updates

* Added comment on Solutions for Assignment #4 [10th May 2016]
* Posted update to Solutions for Assignment #6 to incorporate the linear algebra discussed in class [09th May 2016]
* Posted Solutions for Assignment #5 Pandas and Assignment #6 on Asset Pricing [04th May 2016]
* Updated Assignment #6 Question #3 [26th April 2016]
* Posted Asset Pricing Lectures 3 and 4 [26th April 2016]
* Posted Asset Pricing Homework - Assignment #6 [22nd April 2016]
* Added python-fundamentals-workshop-solutions notebook
* Updated working with data lecture [19th April 2016]
* Posted Asset Pricing - Lecture 2 notes. [15th April 2016]
* Posted a copy of the midterm exam. [13th April 2016]
* Asset Pricing - Lecture 1 notes have been posted to the *lectures* folder [13th April 2016]
* Assignment #5 has been posted and is due ~~Thursday 21st April~~ **Tuesday 26th April** [13th April 2016]
* Assignment #4 has been posted and is due **Tuesday 05th April** [26th March 2016]
* Updated Lake Model worker dynamics lecture and posted some solutions for assignment #3 [24th March 2016]
* Uploaded a python reference sheet [21st March 2016]
* Uploaded some practice exercises for linear algebra (with some Python problems) [18th March 2016]
* Updated the midterm date (09th March 2016)
* Updated Linear State Space Models Notebook
* **Assignment #2** Solutions and general feedback have been posted
* **Assignment #1** Everyone that submitted Assignment #1 on time has recieved full marks. If you would like feedback on Assignment #1 please come and see me during my office hours in Rm 823 (Economics Faculty) or make an appointment if that time doesn't work. I have posted some general feedback to the assignments folder. (23-Feb-2016)
* Assignment submission should now be made to: econ370nyu@gmail.com
* We have changed the way the **mybinder** container is constructed. For those who use mybinder please let me know if you have any issues. Thanks. 
* Assignment #2 has been posted (10-Feb-2016) [Due: ~~Tue 16th February 2016~~ Thur 18th February 2016]
* Updated Syllabus has been posted (02-Feb-2016)
* Assignment #1 has been posted (30-Jan-2016) [Due: Tue 09th February 2016]

### Topic Breakdown

| Weeks        | Topics                           |
| -------------|----------------------------------|
| Weeks 1 to 3 | Python: Programming Fundamentals |
| Weeks 4 to 8 | Linear Algebra, Linear State Space Models, Discrete Markov Chain, and the Lake Model |
| Week 9       | Python: Object Oriented Programming | 
| Week 10      | McCall Search Model (Lake Model Extension) |
| Week 11      | Python: Data Analysis and Manipulation |
| Week 12      | Permanent Income Model |
| Week 13 to 14| Extension Topic |

You can download the syllabus [here](https://github.com/mmcky/nyu-econ-370/blob/master/syllabus.pdf)

### MyBinder Service

The MyBinder service launches a live programming environment in the Cloud and allows you to interact with the course notebooks. However the changes to these notebooks are **temporary** and do not persist next time you open the notebook. For these types of changes it is best to download the notebooks to your computer and run ``jupyter notebook`` in a terminal (or powershell in windows) in the folder that contains your notebook files.

To launch the MyBinder service click on the following badge:

[![Binder](http://mybinder.org/badge.svg)](http://mybinder.org/repo/mmcky/nyu-econ-370)

### Office Hours

|          | Time                       | Location  |
|----------|----------------------------|-----------|
| Zhen Huo | Tuesdays 11:00am to 1:00pm | Rm 724 (Economics Faculty) |
| Matthew McKay | Tuesdays 11:00am to 1:00pm | Rm 823 (Economics Faculty) |

### References

The main reference for this course is the online material:

* [QuantEcon Online Lecture Notes (Python)](http://quant-econ.net/py/)