We embed learning (without experimentation) in optimal growth. We extend the Mirman-Zilcha results of stochastic optimal growth to the learning case. We use recursive methods to study the effect of learning on the dynamic program by considering the case of iso-elastic utility and linear...

Researchers have incorporated labor or credit market frictions in isolation within simple neoclassical models to open up a role for institutions, inject realism into their models and examine the impact of these distortions on output and employment. We present an overlapping generations model...

The link between measured risk aversion and the decision to become an entrepreneur iswell established, but the link between risk preferences and entrepreneurial success is not.Standard theoretical models of occupational choice under uncertainty imply a positivecorrelation between an...

This paper reviews and synthesizes the theory of information economics and empiricalevidence on how information changes the behavior of consumers, households and firms. I show thatconsumers respond to new information in food experiments but perhaps not in retirement accountmanagement. Some...

For the first 13 years after entry, the hazard rate for firm exits is persistently higher forurban than rural firms. While differences in observed industry market, local marketand firm attributes explain some of the rural-urban gap in firm survival, rural firmsretain a survival advantage 25%...

This paper assesses the merits of countercyclical bank balance sheet regulation for the stabilization of financial and economic cycles and examines its interaction with monetary policy. The framework used is a dynamic stochastic general equilibrium model with banks and bank capital, in which...

Risk classification refers to the use of observable characteristics by insurers to group individuals with similar expected claims, compute the corresponding premiums, and thereby reduce asymmetric information. With perfect risk classification, premiums fully reflect the expected cost associated...

The identification of information problems in different markets is a challenging issue in the economic literature. In this paper, we study the identification of moral hazard from adverse selection and learning within the context of a multi-period dynamic model. We extend the model of Abbring et...