This paper studies the effects of financial policy in a model with heterogeneous agents, incomplete markets and portfolio restrictions. For an economy calibrated to replicate key aspects of the US wealth distribution, we find that the quantitative effects of financial policy are relatively...

In this paper, we study the quantitative implications of a real business cycle model where the firm is the capital owner, households are heterogeneous, and markets are incomplete due to restricted asset trade. Since, under these assumptions, the usual firm objective is no longer well defined,...

Many recent papers in macroeconomics have studied the implications of models with household heterogeneity and incomplete financial markets under the assumption that households own the stock of physical capital and undertake the intertemporal investment decisions. In these models, production...

We study the extent to which self-referential adaptive learning can explain stylized asset pricing facts in a general equilibrium framework. In particular, we analyze the effects of recursive least squares and constant gain algorithms in a production economy and a Lucas type endowment economy....

We analyse some practical aspects of implementing adaptive learning in the context of forward-looking linear models. In particular, we focus on how to set initial conditions for three popular algorithms, namely recursive least squares, stochastic gradient and constant gain learning. We propose...

We study the extent to which self-referential adaptive learning can explain stylized asset pricing facts in a general equilibrium framework. In particular, we analyze the effects of recursive least squares and constant gain algorithms in a production economy and a Lucas type endowment economy....

In the United States, the residential housing market went through important changes over the period from the 1970s to the mid-1990s. Although the aggregate homeownership rate was relatively stable during that period, the distribution of homeownership rates by age changed in remarkable ways....