use parameters['Rfree']
@@ -117,10 +117,11 @@ class PortfolioConsumerFrameType(FrameAgentType, PortfolioConsumerType):
# This should be computed separately in its own transition
# Using IndShock get_Rfree instead of generic.
- RfreeNow = self.Rfree * np.ones(self.AgentCount)
+ RfreeNow = self.parameters['Rfree'] * np.ones(self.AgentCount)
# Calculate new states: normalized market resources and permanent income level
pLvlNow = pLvlPrev * context['PermShk'] # Updated permanent income level
+
# Updated aggregate permanent productivity level
PlvlAggNow = context['PlvlAgg'] * context['PermShkAggNow']
# "Effective" interest factor on normalized assets
