def setup_class(cls):
cls.model = OaxacaBlinder(
df.endog,
df.exog,
3,
hasconst=False,
swap=False)
def setup_class(cls):
cls.model = OaxacaBlinder(
pandas_df.endog,
pandas_df.exog,
'OWNRENT',
hasconst=False,
swap=False)
def setup_class(cls):
np.random.seed(0)
cls.omega_model = OaxacaBlinder(pandas_df.endog,
pandas_df.exog,
"OWNRENT",
hasconst=False).two_fold(
True, two_fold_type="nuemark")
def setup_class(cls):
cls.model = OaxacaBlinder(
pandas_df.endog.values,
pandas_df.exog.values,
3,
hasconst=False,
swap=False,
)
def setup_class(cls):
np.random.seed(0)
cls.zero_model = OaxacaBlinder(pandas_df.endog,
pandas_df.exog,
"OWNRENT",
hasconst=False).two_fold(
True,
two_fold_type="self_submitted",
submitted_weight=0)
def setup_class(cls):
cls.model = OaxacaBlinder(
pd_endog,
pd_exog,
'OWNRENT',
swap=False)
def setup_class(cls):
cls.model = OaxacaBlinder(endog, exog, 3, swap=False)
def setup_class(cls):
cls.model = OaxacaBlinder(pd_endog, pd_exog, "OWNRENT")
def setup_class(cls):
np.random.seed(0)
cls.pooled_model = OaxacaBlinder(pandas_df.endog,
pandas_df.exog,
"OWNRENT",
hasconst=False).two_fold(True)
