Metadata-Version: 2.1
Name: ogidn
Version: 0.0.4
Summary: Indonesia (IDN) Calibration for OG-Core
Home-page: https://github.com/EAPD-DRB/OG-IDN/
Download-URL: https://github.com/EAPD-DRB/OG-IDN/
Author: Marcelo LaFleur, Richard W. Evans, and Jason DeBacker
License: CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
Project-URL: Issue Tracker, https://github.com/EAPD-DRB/OG-IDN/issues
Keywords: IDN Indonesia calibration of large scale overlapping generations model of fiscal policy
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Developers
Classifier: Natural Language :: English
Classifier: License :: OSI Approved :: Common Public License
Classifier: Operating System :: POSIX
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.7.7, <3.12
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: psutil
Requires-Dist: scipy>=1.7.1
Requires-Dist: pandas>=1.2.5
Requires-Dist: matplotlib
Requires-Dist: dask>=2.30.0
Requires-Dist: distributed>=2.30.1
Requires-Dist: paramtools>=0.15.0
Requires-Dist: requests
Requires-Dist: pandas-datareader
Requires-Dist: xlwt
Requires-Dist: openpyxl>=3.1.2
Requires-Dist: statsmodels
Requires-Dist: linearmodels
Requires-Dist: wheel
Requires-Dist: black
Requires-Dist: linecheck
Requires-Dist: ogcore

# OG-IDN

| | |
| --- | --- |
| Org | [![United Nations DESA](https://img.shields.io/badge/United%20Nations%20DESA-blue)](https://www.un.org/en/desa) [![PSL cataloged](https://img.shields.io/badge/PSL-cataloged-a0a0a0.svg)](https://www.PSLmodels.org) [![OS License: CC0-1.0](https://img.shields.io/badge/OS%20License-CC0%201.0-yellow)](https://github.com/EAPD-DRB/OG-IDN/blob/main/LICENSE) |
| Package | [![Python 3.10](https://img.shields.io/badge/python-3.10-blue.svg)](https://www.python.org/downloads/release/python-31013/) [![Python 3.11](https://img.shields.io/badge/python-3.11-blue.svg)](https://www.python.org/downloads/release/python-3116/) [![PyPI Latest Release](https://img.shields.io/pypi/v/ogidn.svg)](https://pypi.org/project/ogidn/) [![PyPI Downloads](https://img.shields.io/pypi/dm/ogidn.svg?label=PyPI%20downloads)](https://pypi.org/project/ogidn/) |
| Testing | ![example event parameter](https://github.com/EAPD-DRB/OG-IDN/actions/workflows/build_and_test.yml/badge.svg?branch=main) ![example event parameter](https://github.com/EAPD-DRB/OG-IDN/actions/workflows/deploy_docs.yml/badge.svg?branch=main) ![example event parameter](https://github.com/EAPD-DRB/OG-IDN/actions/workflows/check_format.yml/badge.svg?branch=main) [![Codecov](https://codecov.io/gh/EAPD-DRB/OG-IDN/branch/main/graph/badge.svg)](https://codecov.io/gh/EAPD-DRB/OG-IDN) |

OG-IDN is an overlapping-generations (OG) model that allows for dynamic general equilibrium analysis of fiscal policy for Indonesia. OG-IDN is built on the OG-Core framework. The model output includes changes in macroeconomic aggregates (GDP, investment, consumption), wages, interest rates, and the stream of tax revenues over time. Regularly updated documentation of the model theory--its output, and solution method--and the Python API is available at https://pslmodels.github.io/OG-Core and documentation of the specific Indonesian calibration of the model will be available soon.


## Using and contributing to OG-IDN

* If you are installing on a Mac computer, install XCode Tools. In Terminal: `xcode-select —install`
* Download and install the appropriate [Anaconda distribution](https://www.anaconda.com/products/distribution#Downloads) of Python. Select the correct version for you platform (Windows, Intel Mac, or M1 Mac).
* In Terminal:
  * Make sure the `conda` package manager is up-to-date: `conda update conda`.
  * Make sure the Anaconda distribution of Python is up-to-date: `conda update anaconda`.
* Fork this repository and clone your fork of this repository to a directory on your computer.
* From the terminal (or Anaconda command prompt), navigate to the directory to which you cloned this repository and run `conda env create -f environment.yml`. The process of creating the `ogidn-dev` conda environment should not take more than five minutes.
* Then, `conda activate ogidn-dev`
* Then install by `pip install -e .`
### Run an example of the model
* Navigate to `./examples`
* Run the model with an example reform from terminal/command prompt by typing `python run_og_idn.py`
* You can adjust the `./examples/run_og_idn.py` by modifying model parameters specified in the dictionary passed to the `p.update_specifications()` calls.
* Model outputs will be saved in the following files:
  * `./examples/OG-IDN_example_plots`
    * This folder will contain a number of plots generated from OG-Core to help you visualize the output from your run
  * `./examples/ogidn_example_output.csv`
    * This is a summary of the percentage changes in macro variables over the first ten years and in the steady-state.
  * `./examples/OG-IDN-Example/OUTPUT_BASELINE/model_params.pkl`
    * Model parameters used in the baseline run
    * See [`ogcore.execute.py`](https://github.com/PSLmodels/OG-Core/blob/master/ogcore/execute.py) for items in the dictionary object in this pickle file
  * `./examples/OG-IDN-Example/OUTPUT_BASELINE/SS/SS_vars.pkl`
    * Outputs from the model steady state solution under the baseline policy
    * See [`ogcore.SS.py`](https://github.com/PSLmodels/OG-Core/blob/master/ogcore/SS.py) for what is in the dictionary object in this pickle file
  * `./examples/OG-IDN-Example/OUTPUT_BASELINE/TPI/TPI_vars.pkl`
    * Outputs from the model timepath solution under the baseline policy
    * See [`ogcore.TPI.py`](https://github.com/PSLmodels/OG-Core/blob/master/ogcore/TPI.py) for what is in the dictionary object in this pickle file
  * An analogous set of files in the `./examples/OUTPUT_REFORM` directory, which represent objects from the simulation of the reform policy

Note that, depending on your machine, a full model run (solving for the full time path equilibrium for the baseline and reform policies) can take from 35 minutes to more than two hours of compute time.

If you run into errors running the example script, please open a new issue in the OG-IDN repo with a description of the issue and any relevant tracebacks you receive.

Once the package is installed, one can adjust parameters in the OG-Core `Specifications` object using the `Calibration` class as follows:

```
from ogcore.parameters import Specifications
from ogidn.calibrate import Calibration
p = Specifications()
c = Calibration(p)
updated_params = c.get_dict()
p.update_specifications({'initial_debt_ratio': updated_params['initial_debt_ratio']})
```

## Disclaimer
The organization of this repository will be changing rapidly, but the `OG-IDN/examples/run_og_idn.py` script will be kept up to date to run with the master branch of this repo.

## Core Maintainers

The core maintainers of the OG-IDN repository are:

* Marcelo LaFleur (GitHub handle: [@SeaCelo](https://github.com/SeaCelo)), Senior Economist, Department of Economic and Social Affairs (DESA), United Nations
* [Richard W. Evans](https://sites.google.com/site/rickecon/) (GitHub handle: [@rickecon](https://github.com/rickecon)), Senior Economist, Abundance Institute; President, Open Research Group, Inc.
* [Jason DeBacker](https://jasondebacker.com) (GitHub handle: [@jdebacker](https://github.com/jdebacker)), Associate Professor, University of South Carolina; Vice President of Research, Open Research Group, Inc.

## Citing OG-IDN

OG-IDN (Version #.#.#)[Source code], https://github.com/EAPD-DRB/OG-IDN
