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....

While there is an extensive literature on identifying the asymptotic properties of adaptive learning algorithms, little is explicitly mentioned on how to actually implement these algorithms on the computer to analyze the quantitative effects of learning in dynamic macroeconomic models. The aim...

We design, field and exploit survey data from a representative sample of the French population to examine whether informative social interactions enter households'stockholding decisions. Respondents report perceptions about their circle of peers with whom they interact about financial matters,...

The intertemporal budget constraint of the government implies a relationship between a ratio of current liabilities to the primary deficit with future values of inflation, interest rates, GDP and narrow money growth and changes in the primary deficit. This relationship defines a natural measure...

The present paper contributes to the literature on dynamic games with strategic complementarities, in two interrelated ways. First, we identify a class of dynamic complete information games in which intertemporal complementarities and multiple equilibria can be fruitfully analyzed. Second, we...