{
  "citation": "linearmodels 7.0: the reference specification of card_1995 ex15_4_iv (infer.iv_2sls, figure 'coef.educ') on an independent code path",
  "deviation_evidence": null,
  "doi": null,
  "excerpt": null,
  "independent": true,
  "item_set": null,
  "kind": "software",
  "known_deviation": null,
  "licence": null,
  "locator": "card_1995: Wooldridge (2020), Example 15.4 'Using College Proximity as an IV for Education', Table 15.1 (dependent variable log(wage)), column IV, row educ",
  "metric": null,
  "n_items": null,
  "page": null,
  "read_copy_sha256": null,
  "retrieved_at": "2026-10-15",
  "se": 0.054963672601153514,
  "se_as_published": null,
  "source_id": "card_1995.ex15_4_iv.software",
  "tolerance_reason": null,
  "units": null,
  "url": "https://pypi.org/project/linearmodels/7.0/",
  "value": 0.13150383624451933,
  "value_as_published": null,
  "verified_by": "software_run",
  "verified_note": "IV2SLS(dependent=lwage, exog=[const, exper, expersq, black, smsa, south, smsa66, reg662, reg663, reg664, reg665, reg666, reg667, reg668, reg669], endog=['educ'], instruments=['nearc4']).fit(cov_type='unadjusted', debiased=True) on card (the file pinned at sha256 326dad817467b20d51bdfd015033e3e3e313931f51f812c38c0776249e7fd711); n_obs = 3010. The tool infer.iv_2sls (magi_infer, numpy) does not call linearmodels. Written by scripts/paper_repro_reference.py."
}