A debt sustainability analysis of the czech republic and the slovak republic: a non parametric approach
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Date
2015-09-04
Journal Title
Journal ISSN
Volume Title
Publisher
Technická Univerzita v Liberci
Technical university of Liberec, Czech Republic
Technical university of Liberec, Czech Republic
Abstract
Surging public debt since the Great Recession has focused increasing attention on the issue of debt sustainability. This paper provides debt sustainability analyses for the Czech Republic and Slovakia by estimating their public debt to GDP, and primary balance to GDP ratios up until 2022 under three different projections. The first, labelled the baseline projection, predicts their debt ratios to 2022, if neither their public debt to GDP ratios nor their primary balance to GDP ratios change. This projection uses the official forecasts of the key variables. The second projection answers the question of how much the two counties have to consolidate, measured by their primary balance to GDP ratios, if they want to hold their public debt to GDP ratios at their current levels. The third projection answers the question of how much the countries have to consolidate if they aim to re-attain their December 2008 pre-crisis public debt to GDP ratios. All three projections are made for the same five scenarios, which cover a status quo case, where official forecasts are realized, and both optimistic and pessimistic scenarios for growth and consolidation outcomes. The paper`s novelty lies in its development of an existing non-parametric methodology to encompass iterative numerical solution methods to assess public debt sustainability. This allows a richer set of results to be obtained, for example estimates for the required level of the public debt to GDP ratio, and the primary balance to GDP ratio, taking account of variables such as nominal interest rates, yields to maturity on public debt, inflation rates and average maturities of debt.
Description
Subject(s)
region, regional competitiveness, measurement of regional competitiveness, β-convergence, σ convergence
Citation
ISSN
12123609