Log-likelihood estimator for stochastic frontier models with endogeneity (LIML component)
Project description
Log-Likelihood Estimator
This package provides functions for simulating datasets, estimating log-likelihood values, and calculating the UCI value and conditional variance ( \sigma_c^2 ).
Installation
You can install the package from PyPI (if uploaded) or directly from the source:
pip install loglikelihood_estimator_1
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 loglikelihood_estimator_1-0.1.0.tar.gz.
File metadata
- Download URL: loglikelihood_estimator_1-0.1.0.tar.gz
- Upload date:
- Size: 2.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.11.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
80f566467cc9683e23c473bf306c404d1b4e67f092e4fbc8ca57eba24fd795b3
|
|
| MD5 |
b8c88c8221298ed18287375883aed5f7
|
|
| BLAKE2b-256 |
e27795520ca7d68947e5b0d730c639a4f50701aee06d37300f9556b3d2b8702e
|
File details
Details for the file loglikelihood_estimator_1-0.1.0-py3-none-any.whl.
File metadata
- Download URL: loglikelihood_estimator_1-0.1.0-py3-none-any.whl
- Upload date:
- Size: 3.5 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.11.9
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
499303bb870d5675b3763941a18aa15028605026293a242818acc75f0d83eda8
|
|
| MD5 |
c46df566edf70dc04d46dc98f597e5bf
|
|
| BLAKE2b-256 |
955a2f3f61565d01a4b370c89e7cfb2cbcb8ef08c210d10fd0e4bb9a4817748b
|
