Validity is a key issue for consumers of computable general equilibrium (CGE) modeling services. What assurance can producers of CGE results give to consumers that a CGE analysis: (i) is computationally sound, (ii) uses accurate up-to-date data, (iii) adequately captures behavioral and...

The level of capital tax gains has high explanatory power regarding the question of what drives economic inequality. On this basis, the authors develop a simple, yet micro-founded portfolio selection model to explain the dynamics of wealth inequality given empirical tax series in the US. The...

We forecast income growth over the period 2000-2050 in the US, Canada, and France. To ground the forecasts on relationships that are as robust as possible to changes in the environment, we use a quantitative theoretical approach which consists in calibrating and simulating a general equilibrium...

So far, if one wished to analyse economic markets in all their complexity - i.e. by incorporating all information regarding firm and consumer behavior available from the fields of economics, marketing, consumer research, competitive strategy, and business analysis - she had to use formulas with...

This paper presents a new approach to solve dynamic decision models in economics. The proposed procedure, called Nonlinear Model Predictive Control (NMPC), relies on the iterative solution of optimal control problems on finite time horizons and is well established in engineering applications for...

Although the empirical evidence about the leading indicator property of the term spread (LIPTS) is powerful, this property lacks a rigorous theoretical foundation. This paper investigates whether dynamic equilibrium asset pricing models are able to provide a theoretical underpinning for the...

We propose a general simulation-based procedure for estimating quality of approximate policies in heterogeneous-agent equilibrium models, which allows to verify that such approximate solutions describe a near-rational equilibrium. Our procedure endows agents with superior knowledge of the future...

The overlapping generations (OLG) model is an important framework for analyzing any type of question in which age cohorts are affected differently by exogenous shocks. However, as the dimensions and degree of heterogeneity in these models increase, the computational burden imposed by rational...