Probabilistic Sustainability Of Public Debt

This paper examines the sustainability of fiscal policy under uncertainty in three emerging market countries, Brazil, Mexico, and Turkey. For each country, we estimate a vector autoregression (VAR) that includes fiscal and macroeconomic variables. Retrospectively, a historical decomposition shows by how much debt accumulation reflects unsustainable policy, adverse shocks, or both. Prospectively, Monte Carlo techniques reveal the primary surplus that is required to keep the debt/GDP ratio from rising in all but the worst 50 percent, 25 percent, and 10 percent of circumstances. Such a value-at-risk approach presents a clearer menu of policy options than currently used frameworks.

This paper examines the sustainability of fiscal policy under uncertainty in three emerging market countries, Brazil, Mexico, and Turkey. For each country, we estimate a vector autoregression (VAR) that includes fiscal and macroeconomic variables. Retrospectively, a historical decomposition shows by how much debt accumulation reflects unsustainable policy, adverse shocks, or both. Prospectively, Monte Carlo techniques reveal the primary surplus that is required to keep the debt/GDP ratio from rising in all but the worst 50 percent, 25 percent, and 10 percent of circumstances. Such a value-at-risk approach presents a clearer menu of policy options than currently used frameworks.

Despite its beneficial aspects, public debt can be hazardous for macroeconomic performance should it reach unrepayable levels as a consequence of snowballing explosive trends. Failure to monitor the existing trend in public debt in order to detect such divergences from the stable path, and the lack of an adaptive public financial management can potentially culminate in a public debt crisis whose disruptive economic impacts can permeate all sectors of the economy very swiftly. However, public debt sustainability is a vague concept with no straightforward operational definitions. In addition, its multi-faceted nature is an impediment for the implementation of real-world appraisal of the fiscal posture from a stability viewpoint. As such, quantifying the public debt sustainability is essential for overhauling the fiscal policies so as to avoid a potential debt crisis stemming from malfunctioning fiscal policies. This book provides the reader with a practical and straightforward framework that outlines a tool for undertaking public debt sustainability analysis. In order to guide further empirical investigations, the discussion in this book is underpinned by a real-world application of the model which highlights the practical aspects of the tool with reference to time-varying empirical evidence from a developing country.

This paper proposes a probabilistic approach to public debt sustainability analysis (DSA) using "fan charts." These depict the magnitude of risks-upside and downside-surrounding public debt projections as a result of uncertain economic conditions and policies. We propose a simulation algorithm for the path of public debt under realistic shock configurations, combining pure economic disturbances (to growth, interest rates, and exchange rates), the endogenous policy response to these, and the possible shocks arising from fiscal policy itself. The paper emphasizes the role of fiscal behavior, as well as the structure of disturbances facing the economy and due to fiscal policy, in shaping the risk profile of public debt. Fan charts for debt are derived from the "marriage" between the pattern of shocks on the one hand and the endogenous response of fiscal policy on the other. Applications to Argentina, Brazil, Mexico, South Africa, and Turkey are used to illustrate the approach and its limitations.

The paper offers an approach to assessing the sustainability of public debt taking into account the effect of fiscal policy on output, as well as uncertainty in the model parameters and system dynamics. Uncertainty is specified in general terms, and the analysis is based on the notion of invariant sets. Examples are provided to illustrate how the method can be applied in practice.

This paper applies a simple probabilistic approach to debt sustainability analysis to the case of Lebanon. The paper derives "fan charts" to depict the probability distribution of the government debt to GDP ratio under a medium-term adjustment scenario, as a result of shocks to GDP growth and interest rates. The distribution of shocks is derived from the past shocks to these variables and the related variance covariance. Because we are interested in assessing the sustainability of a particular policy scenario, we do not consider independent fiscal policy shocks or the endogenous policy response to shocks.

This paper introduces the Asset and Liability Management (ALM) compound option model. The model builds on the observation that the public sector net worth in a multi-period setting corresponds to the value of an option on an option on total government assets. Hence, the ALM compound option model is better suited for analyzing and evaluating the risk profile of public debt than existing one-period models, and is especially useful for analyzing the soundness of exit strategies from the large fiscal expansions undertaken by G-20 countries in the wake of the recent financial crisis. As an illustration, the model is used to analyze the risk profile and sustainability of Australia's public debt under different policies.

This paper applies a simple probabilistic approach to debt sustainability analysis to the case of Lebanon. The paper derives quot;fan chartsquot; to depict the probability distribution of the government debt to GDP ratio under a medium-term adjustment scenario, as a result of shocks to GDP growth and interest rates. The distribution of shocks is derived from the past shocks to these variables and the related variance covariance. Because we are interested in assessing the sustainability of a particular policy scenario, we do not consider independent fiscal policy shocks or the endogenous policy response to shocks.