Pre-existing public debt vulnerabilities have been exacerbated by the effects of the pandemic, raising the risk of fiscal crises in emerging markets and low-income countries. This underscores the importance of models designed to capture the main determinants of fiscal distress episodes and...

The paper focuses on impact of macroeconomic indicators on the development of public debt in Slovakia. The aim of the paper was to identify those macroeconomic indicators which influence the most significantly public debt in Slovakia and to elaborate and verify simple model for public debt...

We develop a debt-to-GDP forecasting framework incorporating the classical debt accounting relationship relating the debt-to-GDP ratio to its previous period value, the growth rate of the economy, the government cost of debt service, and the primary balance. We present a linearization of the...

This paper identifies leading indicators of fiscal crises based on a large sample of countries at different stages of development over 1970-2015. Our results are robust to different methodologies and sample periods. Previous literature on early warning sistems (EWS) for fiscal crises is scarce...

In this paper, we report the design and results of an experiment in human judgment in which decision makers were allowed to choose the information cues they used in making their judgments. The results of this study show that the subjects' choice of information, rather than their processing of...

Budget forecasts have become increasingly important as a tool of fiscal management to influence expectations of bond markets and the public at large. The inherent difficulty in projecting macroeconomic variables – together with political bias – thwart the accuracy of budget forecasts.We...

This paper analyzes two features of concern to policy-makers in the countries of the prospective European Monetary Union: the solvency of their government's finances and the accuracy of fiscal forecasts. Extending the existing methodology of solvency tests, the paper finds that, with few...

In this paper we face the fitting versus forecasting paradox with the objective of realizing an optimal Early Warning System to better describe and predict past and future sovereign defaults. We do this by proposing a new Regression Tree-based model that signals a potential crisis whenever...

The large number of financial crises in emerging markets over the past ten years has left many observers, both from academia and financial institutions, puzzled by an apparent lack of homogenous causal relations between endogenous economic variables and the bursting of large financial shocks....