The paper presents a new method to solve DSGE models with a great number of heterogeneous agents. Using tools from systems and control theory, it is shown how to reduce the dimension of the state and the policy vector so that the reduced model approximates the original model with high precision....

We decompose the economic implications of the Kyoto Protocol at the cross-country level, splitting the total economic impact for each region into contributions from its own emission abatement policy and those from other regions. Our analysis which is based on a large-scale computable general...

Changing the income tax progressivity in labour markets with collective wage bargaining generates a trade-off. On the one hand, higher progressivity distorts individual labour supply decisions at the hours-of-work margin, on the other hand, it reduces unemployment by exerting downward pressure...

This note presents an algorithm for deriving first order conditions applicable to the most common optimisation problems encountered in dynamic stochastic models automatically. Given a symbolic library or a computer algebra system one can efficiently derive first order conditions which can then...

We examine the effects on GNP for groups of countries after introducing different schemes of tradable CO2 emission rights. The analysis is based on a numerical general equilibrium model of the world economy. The development of prices and trade of energy carriers and emission rights are investigated.

This article deals with the work carried out in Argentine institutions at the level of empirical economywide modeling, particularly in the fields of input-output and computable general equilibrium modeling, pointing out some limitations and proposing possible extensions.

The computable general equilibrium (CGE) model has played an important role on policy impact analysis. The main strength of CGE analysis is that it models the whole economy explicitly, capture the market mechanism, interlinking between sectors and transactions between economic agents despite...

Approximating stochastic processes by finite-state Markov chains is useful for reducing computational complexity when solving dynamic economic models. We provide a new method for accurately discretizing general Markov processes by matching low order moments of the conditional distributions using...

In a standard general equilibrium model it is assumed that there are no price restictionsand that prices adjust infinitely fast to their equilibrium values. In this paper the set ofadmissible prices is allowed to be an arbitrary convex set. For such an arbitrary set it cannotbe guaranteed that...

We present a simple approach to transform a deterministic numerical model, where several agents simultaneously make decisions, into a stochastic model. This approach, which builds on scenario aggregation, a numerical method developed to solve decision problems under uncertainty, is used to build...