This paper studies the short run correlation of inflation and money growth. We study whether a model of learning can do better than a model of rational expectations, we focus our study on countries of high inflation. We take the money process as an exogenous variable, estimated from the data...

A new algorithm called the parameterized expectations approach (PEA) for solving dynamic stochastic models under rational expectations is developed and its advantages and disadvantages are discussed. This algorithm can, in principle, approximate the true equilibrium arbitrarily well. Also, this...

This paper tests for the market environment within which US fiscal policy operates, that is we test for the incompleteness of the US government bond market. We document the stochastic properties of US debt and deficits and then consider the ability of competing optimal tax models to account for...

This paper fills a gap in the existing literature on least squares learning in linear rational expectations models by studying a setup in which agents learn by fitting ARMA models to a subset of the state variables. This is a natural specification in models with private information because in...

In this paper we study the welfare impact of alternative tax schemes on labor and capital. We evaluate the e_ect of lowering capital income taxes on the distribution of wealth in a model with heterogeneous agents, restricting our attention to policies with constant tax rates. We calibrate and...

We study the quantitative properties of a dynamic general equilibrium model in which agents face both idiosyncratic and aggregate income risk, state-dependent borrowing constraints that bind in some but not all periods and markets are incomplete. Optimal individual consumption -savings plans and...

In an economy studied by Lucas and Stokey, tax rates inherit the serial correlation structure of government expenditures, belying Barro's earlier result that taxes should be a random walk for any stochastic process of government expenditures. To recover a version of Barro's random walk...