5d8b81e16143d6eea9e86a586fe737854c03c772,linearmodels/tests/panel/test_between_ols.py,,test_missing,#Any#,144

Before Change

    assert_results_equal(res, ols_res)
    
    clusters = mod.dependent.dataframe.copy()
    clusters.loc[:, :] = 0
    clusters = clusters.astype(np.int32)
    for entity in mod.dependent.entities:
        clusters.loc[entity] = np.random.randint(9)

After Change

    ols_res = ols.fit(cov_type="robust")
    assert_results_equal(res, ols_res)

    vc1 = PanelData(missing_data.vc1)
    ols_clusters = vc1.dataframe.groupby(level=0).mean().astype(np.int32)
    ols_clusters = ols_clusters.reindex(mod.dependent.entities)

    res = mod.fit(reweight=True, cov_type="clustered", clusters=missing_data.vc1)

Instances