linearmodels
Panel, instrumental-variable, and system regression estimators for econometrics.
External resource. No execution or independent verification is claimed here.
Does two-stage least squares match the independently computed projection formula on a full-rank synthetic design?
Calculate projection matrices and coefficient estimates independently, then add a weak-instrument fixture with an explicit limitation rather than a validity claim.
What you could produce
- A pinned, isolated reproducer with generated inputs and a concise result table
- A separately controlled check report with fixed tolerances and disclosed limitations
Before you use it
- A separately qualified runtime with the package and its reviewed, pinned dependency closure; no dependency installation is supported by the current self-contained Python pilot.
Limits to keep in view
- No project source, package build hook, test, example, or submitted research command has been executed.
- The documented pilot supports self-contained Python 3.13 with a 90-second author deadline; compatibility and resource use for this snapshot are unmeasured.
Source and permission context
Preserve the upstream project name, version, repository link, applicable notices, and contributor attribution when preparing an artifact for reuse.
Catalog listing reviewed. This review covers the description and source links displayed here.
Approved for catalog metadata and links. The displayed entry identifies linearmodels with the concise collection-authored summary “Panel, instrumental-variable, and system regression estimators for econometrics.” and points to the public upstream repository https://github.com/bashtage/linearmodels. The wording describes function and possible investigation without reproducing upstream source or documentation, claiming execution, or implying endorsement or rights beyond the recorded scopes.
Reviewed 2026-09-14. Copying or adapting source files remains subject to their own terms.
code · NCSA
Pinned pyproject metadata explicitly declares NCSA and names LICENSE.md; that file contains the corresponding permission, redistribution, non-endorsement, and disclaimer conditions. License text: LICENSE.md at commit 655b9a1284e21ecab17245631140107007299070; no repository-wide clearance is claimed.
Inspect the license evidence ↗Before copying source material
- Bundled datasets, examples, submodules, vendored code, and dependency licenses have not been audited; the observed top-level license does not clear all of them.
- README and documentation rights were not independently resolved from the main code license; this catalog only links and describes.