From eeb1eb20044445fc7596ddbc9f192b34228b33df Mon Sep 17 00:00:00 2001
From: Josef Perktold <josef.pktd@gmail.com>
Date: Mon, 21 Sep 2020 11:06:51 -0400
Subject: [PATCH] BUG: GenericLikelihoodModel propagate `hasconst` see #7049

---
 statsmodels/base/model.py | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/statsmodels/base/model.py b/statsmodels/base/model.py
index 9ec656552c9..03ae9b63349 100644
--- a/statsmodels/base/model.py
+++ b/statsmodels/base/model.py
@@ -789,6 +789,7 @@ def __init__(self, endog, exog=None, loglike=None, score=None,
         if hessian is not None:
             self.hessian = hessian
 
+        hasconst = kwds.pop("hasconst", None)
         self.__dict__.update(kwds)
 
         # TODO: data structures?
@@ -797,7 +798,8 @@ def __init__(self, endog, exog=None, loglike=None, score=None,
         # self.df_model = 9999
         # somewhere: CacheWriteWarning: 'df_model' cannot be overwritten
         super(GenericLikelihoodModel, self).__init__(endog, exog,
-                                                     missing=missing)
+                                                     missing=missing,
+                                                     hasconst=hasconst)
 
         # this will not work for ru2nmnl, maybe np.ndim of a dict?
         if exog is not None: