Information Technology of Study of the State Foreign Debt in Developing Countries
Due to expansion of international relations, growth of interest of states in attraction of foreign capital, appearance of excessive debts and problems connected with them, urgency of the issue of the state foreign debt significantly increased. The problem of state foreign debt is especially sharp in developing countries. Taking into account specific features of functioning of economies of these states, it is necessary to develop information approaches with the aim of studying macro-economic processes, which could assist in creation of improved mechanisms of functioning of the debt policy. The goal of the article is building an information technology of study of the state foreign debt, which would allow conduct of a complex analysis of the studied problem. The article offers a three-stage information technology of study of the state foreign debt, which gives a possibility to analyse and assess the study problem. This article also reveals properties, functions and tasks, which are solve by the information technology. It gives a detailed description of each stage and its notional elements. It forms the structured database for a possibility to carry out an experiment. On the basis of the first stage the article builds econometric models, which reflect interrelations between macro-economic factors, which gives an opportunity to forecast, analyse and assess the state foreign debt.
Volume (Year): (2014)
Issue (Month): 3 ()
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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Hostland, Doug & Karam, Philippe, 2006.
"Assessing debt sustainability in emerging market economies using stochastic simulation methods,"
Policy Research Working Paper Series
3821, The World Bank.
- Philippe D Karam & Douglas Hostland, 2005. "Assessing Debt Sustainability in Emerging Market Economies Using Stochastic Simulation Methods," IMF Working Papers 05/226, .
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