are the computation of the density of the capital stock in the neoclassical growth model and the computation of the wealth density in an incomplete market economy.

The look-ahead estimator is used to compute densities associated with Markov processes via simulation. We study a framework that extends the look-ahead estimator to a much broader range of applications. We provide a general asymptotic theory for the estimator, where both L1 consistency and L2...

A potential benefit of a large market (GDP) is a large number of locally-produced varieties. We attempt to quantify the number of varieties produced in a market by counting the number of firms and plants. Looking at manufacturing industries across countries and over time, we find that variety...

This paper introduces a multisector model of commodity markets with storage, where equilibrium is defined by profit maximization, arbitrage and market clearing conditions. We then solve for the decentralized equilibrium via a corresponding dynamic program. We also describe the dynamics of the...

This paper proposes and implements a method to predict evolution of the crosscountry income distribution from a nonconvex growth model with unbounded productivity shocks, fitted to panel data by threshold autoregresion. We estimate the stochastic kernel of the process, and define inducively all...

The paper introduces a multiplicative drift condition for evaluating stochastic economic models. The drift condition is shown to permit computation of quantitative bounds for extreme event probabilities in terms of the model primitives. By way of illustration, the technique is applied to a...

Production takes time, and labor supply and profit maximization decisions that relate to current production are typically made before all shocks affecting that production have been realized. In this paper we re-examine the problem of stochastic optimal growth with aggregate risk where the timing...