134db0b8216e32dd6d91a57f7d18409a6028720f,linearmodels/tests/panel/test_between_ols.py,,test_missing,#Any#,93

Before Change

    res = mod.fit(reweight=True)
    
    dep = np.nanmean(mod.dependent.values3d, axis=1).T
    exog = pd.DataFrame(np.nanmean(mod.exog.values3d, axis=1).T,
                        columns=mod.exog.vars)
    weights = np.nansum(mod.weights.values3d, axis=1).T
    ols = IV2SLS(dep, exog, None, None, weights=weights)
    ols_res = ols.fit("unadjusted")
    assert_results_equal(res, ols_res)

After Change

    mod = BetweenOLS(missing_data.y, missing_data.x)
    res = mod.fit(reweight=True)
    
    dep = mod.dependent.dataframe.groupby(level=0).mean()
    exog = mod.exog.dataframe.groupby(level=0).mean()
    weights = mod.weights.dataframe.groupby(level=0).sum()
    

Instances