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Cover -- Contents -- I. Introduction -- II. Haircuts -- A. Haircut Measures -- B. Data -- III. New Stylized Facts -- A. Haircuts -- B. Bond Prices -- IV. The Model -- A. Setup -- B. First Result -- C. Second Result -- D. Interpretation -- V. Default Probability Term Structure -- VI. Conclusion -- References -- Figures -- 1. SZ Recovery and Maturity -- 2. Exchange Recovery and Maturity -- 3. Bond Price Differentials -- 4. Default Probability Term Structure -- Tables -- 1. Scope of Dataset -- 2. Cross-sectional Regression Results -- 3. Panel Regression Results -- 4. Panel Regression Results -- Appendices -- I. Dataset: Selected Recent Restructurings -- II. Haircuts / Recovery Rates -- III. SZ Haircuts Robustness Check -- IV. Bond Prices -- V. Estimation of Term Structure of Default Risk -- VI. Default Probability Term Structure.

This paper presents a range of tools and indicators for analyzing fiscal vulnerabilities and risks for advanced economies. The analysis covers key short-, medium- and long-term dimensions. Short-term pressures are captured by assessing (i) gross funding needs, (ii) market perceptions of default risk, and (iii) stress dependence among sovereigns. Medium- and long-term pressures are summarized by (iv) medium- and long-term budgetary adjustment needs, (v) susceptibility of debt projections to growth and interest rate shocks, and (vi) stochastic risks to medium-term debt dynamics. Aiming to cover

"This paper presents a novel approach to detail the propagation of shocks to public debt. The modeling technique involves a structural vector auto-regression (SVAR) estimator with an endogenous debt accumulation equation. It explores how the main drivers of sovereign debt dynamics - the primary balance, the interest rate, growth and inflation - interact with each other. Such analysis is particularly useful for debt sustainability analysis. The authors find that some interactions exacerbate the impact of shocks to the accumulation of debt, while others act to stabilize debt dynamics. Furthermore, the choice of monetary policy regime plays an important role in these debt dynamics - countries with constrained monetary policy are more at risk from changes in market sentiment and must rely much more on fiscal policy to constrain debt."--Abstract

This volume focuses on recent developments in the use of structural econometric models in empirical economics. The first part looks at recent developments in the estimation of dynamic discrete choice models. The second part looks at recent advances in the area empirical matching models.

This volume of Advances in Econometrics focuses on recent developments in the use of structural econometric models in empirical economics. The papers in this volume are divided in to three broad groups. The first part looks at recent developments in the estimation of dynamic discrete choice models. This includes using new estimation methods for these models based on Euler equations, estimation using sieve approximation of high dimensional state space, the identification of Markov dynamic games with persistent unobserved state variables and developing test of monotone comparative static in models of multiple equilibria. The second part looks at recent advances in the area empirical matching models. The papers in this section look at developing estimators for matching models based on stability conditions, estimating matching surplus functions using generalized entropy functions, solving for the fixed point in the Choo-Siow matching model using a contraction mapping formulation. While the issue of incomplete, or partial identification of model parameters is touched upon in some of the foregoing chapters, two chapters focus on this issue, in the context of testing for monotone comparative statics in models with multiple equilibria, and estimation of supermod- ular games under the restrictions that players' strategies be rationalizable. The last group of three papers looks at empirical applications using structural econometric models. Two application applies matching models to solve en- dogenous matching to the loan spread equation and to endogenize marriage in the collective model of intrahousehold allocation. Another applications looks at market power of condominium developers in the Japanese housing market in the 1990s.

Abstract
Interdependence in the decision-making or behaviors of various organizations and administrators is often neglected in the study of public administration. Failing to account for such interdependence risks an incomplete understanding of the choices made by these actors and agencies. As such, we show how researchers analyzing cross-sectional or time-series-cross-sectional (TSCS) data can utilize spatial econometric methods to improve inference on existing questions and, more interestingly, engage a new set of theoretical questions. Specifically, we articulate several general mechanisms for spatial dependence that are likely to appear in research on public administration (isomorphism, competition, benchmarking, and common exposure). We then demonstrate how these mechanisms can be tested using spatial econometric models in two applications: first, a cross-sectional study of district-level bilingual education spending and, second, a TSCS analysis on state-level healthcare administration. In our presentation, we also briefly discuss many of the practical challenges confronted in estimating spatial models (e.g., weights specification, model selection, effects calculation) and offer some guidance on each.

This paper presents the DIGNAR (Debt, Investment, Growth, and Natural Resources) model, which can be used to analyze the debt sustainability and macroeconomic effects of public investment plans in resource-abundant developing countries. DIGNAR is a dynamic, stochastic model of a small open economy. It has two types of households, including poor households with no access to financial markets, and features traded and nontraded sectors as well as a natural resource sector. Public capital enters production technologies, while public investment is subject to inefficiencies and absorptive capacity c

The crisis of the public debt generally is the reflect of a fiscalcrisis. As in the model, where the external debt belongs to thegovernment. when the external financing stops, the governments can not reduce its deficits at the same speed so they have to look out for internal financing. The model shows that if the economy is not growing, the financing with debt constítutes and additional factor of perturbation to the macroeconomic stability ; La crisis de la deuda pública es generalmente un reflejo de una crisis fiscal, como lo muestra el modelo que se propone este artículo en el que el endeudamiento externo ha sido suscrito por el gobierno. Al interrumpirse el financiamiento externo, los gobiernos no pudieron reducir los déficits con tanta rapidez y tuvieron que recurrir a fuentes internas. El modelo muestra que si la economía no está creciendo, la financiación con deuda constituye un factor adicional de perturbación a la estabilidad macroeconómica.