134db0b8216e32dd6d91a57f7d18409a6028720f,linearmodels/tests/panel/test_between_ols.py,,test_missing_weighted,#Any#,106

Before Change

    res = mod.fit(reweight=True)
    
    weights = np.nansum(mod.weights.values3d, axis=1).T
    wdep = np.nansum(mod.weights.values3d * mod.dependent.values3d, axis=1).T
    wexog = np.nansum(mod.weights.values3d * mod.exog.values3d, axis=1).T
    wdep = wdep / weights
    wexog = wexog / weights
    

After Change

    mod = BetweenOLS(missing_data.y, missing_data.x, weights=missing_data.w)
    res = mod.fit(reweight=True)

    weights = mod.weights.dataframe.groupby(level=0).sum()
    weights = weights.reindex(mod.dependent.entities)
    
    dep = mod.dependent.dataframe * mod.weights.dataframe.values
    dep = dep.groupby(level=0).sum()
    dep = dep.reindex(mod.dependent.entities)

Instances