This paper argues that a clear understanding of the stochastic growth model can best be achieved by working out an approximate analytical solution. The proposed solution method replaces the true budget constraints and Euler equations of economic agents with loglinear approximations. The model...

This paper argues that a clear understanding of the stochastic growth model can best be achieved by working out an approximate analytical solution. The proposed solution method replaces the true budget constraints and Euler equations of economic agents with loglinear approximations. The model...

This paper analyzes economic fluctuations in an overlapping generations economy with productive capital in which random shocks in aggregate productivity are present. Under specific assumptions we obtain an explicit solution of the model. Applying random dynamical systems theory, we can prove...

This paper evaluates complementarities of labor market institutions and the business cycle in the context of a stochastic dynamic general equilibrium model economy. Matching between workers and vacancies with endogenous time spent in search, Nash-bargained wages, payroll taxation, and...

The endogenous dynamics of a closed constant returns multi-market economy are examined in which agents face downward sloping demand. The trigger for growth in this model is a technological change that warrants costly adjustment in input quantities by agents. In the resulting dynamic game,...

This paper evaluates complementarities of labor market institutions and the business cycle in the context of a stochastic dynamic general equilibrium model economy. Matching between workers and vacancies with endogenous time spent in search, Nash{bargained wages, payroll taxation, and...

This paper evaluates complementarities of labor market institutions and the business cycle in the context of a stochastic dynamic general equililbriurn model econorny. Matching between workers and vacancies with endogenous search intensity, Nash-bargained wages, payroll taxation, and...