diff --git a/HARK/ConsumptionSaving/tests/test_ConsNewKeynesianModel.py b/HARK/ConsumptionSaving/tests/test_ConsNewKeynesianModel.py
index ad48dbd01..c2b654882 100644
--- a/HARK/ConsumptionSaving/tests/test_ConsNewKeynesianModel.py
+++ b/HARK/ConsumptionSaving/tests/test_ConsNewKeynesianModel.py
@@ -39,8 +39,8 @@ def test_calc_tran_matrix(self):
         AggC = np.dot(gridc.flatten(), vecDstn)  # Aggregate Consumption
         AggA = np.dot(grida.flatten(), vecDstn)  # Aggregate Assets
 
-        self.assertAlmostEqual(AggA[0], 1.19513, places=4)
-        self.assertAlmostEqual(AggC[0], 1.00417, places=4)
+        self.assertAlmostEqual(AggA[0], 0.82984, places=4)
+        self.assertAlmostEqual(AggC[0], 1.00780, places=4)
 
 
 # %% Test Heterogenous Agent Jacobian Methods
@@ -52,6 +52,6 @@ def test_calc_jacobian(self):
         Agent.compute_steady_state()
         CJAC_Perm, AJAC_Perm = Agent.calc_jacobian("PermShkStd", 50)
 
-        self.assertAlmostEqual(CJAC_Perm.T[30][29], -0.06120, places=HARK_PRECISION)
-        self.assertAlmostEqual(CJAC_Perm.T[30][30], 0.05307, places=HARK_PRECISION)
-        self.assertAlmostEqual(CJAC_Perm.T[30][31], 0.04674, places=HARK_PRECISION)
+        self.assertAlmostEqual(CJAC_Perm.T[30][29], -0.10503, places=HARK_PRECISION)
+        self.assertAlmostEqual(CJAC_Perm.T[30][30], 0.10316, places=HARK_PRECISION)
+        self.assertAlmostEqual(CJAC_Perm.T[30][31], 0.09059, places=HARK_PRECISION)