Estimation of spatial autoregressive panel data models with heterogeneous coefficients
Project description
HETSAR: Python package to estimate spatial autoregressive models with heterogeneous coefficients
hetsar fits spatial autoregressive panel data models with heterogeneous coefficients. The estimation is performed via quasi maximum-likelihood. See Aquaro, Bailey and Pesaran (J. Appl. Econometrics, 2021) for technical details.
The hetsar package was written in 2021 by Ida Johnsson. It is distributed under the 3-Clause BSD license.
See the source for this project here: https://github.com/ida-j/hetsar.
Installation
Prerequisites
Install dependencies:
$ pip install -r requirements.txt
Install from pip:
$ pip install hetsar
Install from source:
$ git clone https://github.com/ida-j/hetsar.git
$ cd hetsar
$ python setup.py build_ext --inplace
$ python setup.py install
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file hetsar-5.1.tar.gz.
File metadata
- Download URL: hetsar-5.1.tar.gz
- Upload date:
- Size: 109.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.3.0 pkginfo/1.6.1 requests/2.24.0 setuptools/50.3.1.post20201107 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a98f18622a658640a268fcc9a8a2bd76b9ebaa03e436b622e5f705e2f6ce2bc4
|
|
| MD5 |
c8975f39c904018ab2399f86a9c82777
|
|
| BLAKE2b-256 |
3a3a69ada4d5fe5f1dff7453e14b85bf75b1ef25b6da4601c6a3f776f359c5d3
|
File details
Details for the file hetsar-5.1-py3-none-any.whl.
File metadata
- Download URL: hetsar-5.1-py3-none-any.whl
- Upload date:
- Size: 108.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.3.0 pkginfo/1.6.1 requests/2.24.0 setuptools/50.3.1.post20201107 requests-toolbelt/0.9.1 tqdm/4.50.2 CPython/3.8.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a9f88e56aa976afdf12c9d67bc3ded9288bf4b651fd9ef01b69a69e3fc7894ad
|
|
| MD5 |
9fe477cc78cb875f59b7aaa213aed59d
|
|
| BLAKE2b-256 |
84b6843e7a6bbe90176ebc940370031ef66c068d382b6c35630829cf895654d2
|