I investigate whether the popular Krusell and Smith algorithm used to solve heterogeneous-agent economies with aggregate uncertainty and incomplete markets is likely to be subject to multiple self-fulfilling equilibria. In a benchmark economy, the parameters representing the equilibrium...

Forecasting Populations (FPOP) is a microsimulation model (MSM) that is the demographic core of an extensible modeling framework. The framework, with FPOP at its core, enables the geospatial projection of a population under purely demographic processes or under the additional influence of...

I investigate whether the popular Krusell and Smith algorithm used to solve heterogeneousagent economies with aggregate uncertainty and incomplete markets is likely to be subject to multiple self-fulfilling equilibria. In a benchmark economy, the parameters representing the equilibrium aggregate...

This paper proposes a moment-matching method for approximating vector autoregressions by finite-state Markov chains. The Markov chain is constructed by targeting the conditional moments of the underlying continuous process. The proposed method is more robust to the number of discrete values and...

This paper is (over the formulas) self explaining . The measurement of economies no longer by GDP alone, but by an Index that includes other important factors as well, a So-cial factors relativized GDP. This index cuts out the part of the GDP that is long term fro-zen up by social transfers...

В работе исследуется задача о размещении логистических объектов с сегментацией логистических зон в случае, когда объекты могут располагаться в любой точке...

Ponzi and Madoff names, as well as the Portuguese D. Branca, are so-called investment schemes that have become well-known. These scams are widespread and continue to exist, with more or less modifications, depicting serious damage to many people and society in general. Being a phenomenon of easy...

This paper proposes a moment-matching method for approximating vector autoregressions by finite-state Markov chains. The Markov chain is constructed by targeting the conditional moments of the underlying continuous process. The proposed method is more robust to the number of discrete values and...

This article presents a novel computational approach to solving models with both uninsurable idiosyncratic and aggregate risk that uses projection methods, simulation and perturbation. The approach is shown to be both as efficient and as accurate as existing methods on a model based on Krusell...