DGEI · Macroeconomics with Incomplete Insurance Markets
6РП — Действия „Мария Кюри“
- Период
- 2004-06-01 → 2006-05-31
- Финансиране от ЕС
- 142 299 €
- Участници
- 1
- Схема
- EIF
Линиите свързват координатора с партньорите.
Накратко на български
Непълните пазари за застраховане изследват как липсата на защита срещу индивидуални рискове влияе върху икономиката. Това помага за по-доброто разбиране на бизнес цикълите и дългосрочния растеж, което е важно за вземането на правилни политически решения.
Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.
Цел на проекта
This project aims at exploring the implications of incomplete insurance markets in a macroeconomic set up. The particular form of market incompleteness focused on in this project is the absence of insurance markets in which individual-specific risks may be insured against. The reason for focusing on incomplete insurance markets is that, when compared with the standard approach, models wifely incomplete market structure has different qualitative and quantitative properties that lead to strikingly different normative implications for a variety of issues of interest to macroeconomists and policy makers. The framework is that of multi-agent dynamic general equilibrium models in which agents are exposed to uninsured idiosyncratic risks. In this context we are particularly interested in(i) investigating the qualitative properties of equilibrium and improving the existing computational methods for analysing dynamic general equilibrium models with incomplete markets,(ii) understanding the mechanisms under which market incompleteness affects the business cycle and long ran growth. Emphasis will be given on the development of a general theoretical approach to the problem of existence and characterization of equilibrium. The adopted methodological approach is based on an emerging class of methods, called monotone map methods, which incorporates recent developments in mathematics studying fixed points for operators defined on partially order spaces (lattices). In the computational analysis emphasis will be given on the construction of efficient and flexible numerical algorithms able to capture the rich complexity of dynamic stochastic growth models with rational expectations and heterogeneous agents. Our methodological approach is based on providing numerical algorithms suitable for the numerical analysis of economies with aggregate uncertainty and persistent idiosyncratic shocks.
Оригинален текст от CORDIS (на английски).
Участници
- CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE · PARISКоординаторФранция
Връзки
Данни: CORDIS, © Европейски съюз