Assessing IMF Lending: a Model of Sample Selection


Book Description

Extending previous work on the determinants of IMF lending in an interconnected world, we introduce a model of sample selection in which both selection and size dimensions of individual IMF arrangements are presented within a unified econometric framework. We allow for unobserved heterogeneity to create an additional channel for sample selection at the country level. The results suggest that higher external financing needs, larger exchange rate depreciation, lower GDP growth, as well as deteriorated global financial conditions, are associated with larger individual IMF arrangement sizes. Using the estimated parameters, Monte Carlo simulation of a wide spectrum of global shock scenarios suggest that the distribution of potential aggregate IMF lending exhibits a substantial right tail. Our approach may provide an insightful input to broader policy discussions on the adequacy of the IMF resources.




Assessing IMF Lending: a Model of Sample Selection


Book Description

Extending previous work on the determinants of IMF lending in an interconnected world, we introduce a model of sample selection in which both selection and size dimensions of individual IMF arrangements are presented within a unified econometric framework. We allow for unobserved heterogeneity to create an additional channel for sample selection at the country level. The results suggest that higher external financing needs, larger exchange rate depreciation, lower GDP growth, as well as deteriorated global financial conditions, are associated with larger individual IMF arrangement sizes. Using the estimated parameters, Monte Carlo simulation of a wide spectrum of global shock scenarios suggest that the distribution of potential aggregate IMF lending exhibits a substantial right tail. Our approach may provide an insightful input to broader policy discussions on the adequacy of the IMF resources.




The External Balance Assessment (EBA) Methodology


Book Description

The External Balance Assessment (EBA) methodology has been developed by the IMF’s Research Department as a successor to the CGER methodology for assessing current accounts and exchange rates in a multilaterally consistent manner. Compared to other approaches, EBA emphasizes distinguishing between the positive empirical analysis and the normative assessment of current accounts and exchange rates, and highlights the roles of policies and policy distortions. This paper provides a comprehensive description and discussion of the 2013 version (“2.0”) of the EBA methodology, including areas for its further development.




Assessing Country Risk


Book Description

Assessing country risk is a core component of surveillance at the IMF. It is conducted through a comprehensive architecture, covering both bilateral and multilateral dimensions. This note describes some of the approaches used internally by Fund staff to examine a wide array of systemic risks across advanced, emerging, and low-income economies. It provides a high-level view of the theory and methodologies employed, with an on-line companion guide providing more technical details of implementation. The guide will be updated as Fund staff’s methodologies for assessing country risk continue to evolve with experience and feedback. While the results of these approaches are not published by the IMF for market sensitivity reasons, they inform risk assessments featured in bilateral surveillance as well as in the IMF’s flagship publications on global surveillance.




IMF Conditionality


Book Description

The twenty-one contributions in this book assess the controversy surrounding the Fund and provide judgments about the criteria for Fund lending which should help readers understand and analyze both its ongoing role in smoothing adjustment to international payments imbalances and its currently critical position in responding to the debt crisis.




Sweden


Book Description

This paper discusses the findings of the Financial System Stability Assessment for Sweden. The Swedish financial system is large and highly interconnected, putting a premium on the accompanying policy framework. Relative to the size of the domestic economy, the financial system is among Europe’s largest. It features complex domestic and international linkages, reflecting Sweden’s role as a regional financial hub. However, the macrofinancial risks have grown since 2011, for example the rising share of highly indebted households. Stress tests also suggest that banks and nonbanks are largely resilient to solvency shocks, but concerns persist about the ability of bank models to capture unexpected losses.




The Fund's Lending Framework and Sovereign Debt-Further Considerations


Book Description

In discussing the June 2014 paper, Executive Directors broadly supported staff’s proposal to introduce more flexibility into the Fund’s exceptional access framework to reduce unnecessary costs for the member, its creditors, and the overall system. Directors’ views varied on staff’s proposal to eliminate the systemic exemption introduced in 2010. Many Directors favored removing the exemption but some others preferred to retain it and requested staff to consult further with relevant stakeholders on possible approaches to managing contagion. This paper offers specific proposals on how the Fund’s policy framework could be changed, presents staff’s analysis on the specific issue of managing contagion, and addresses some implementation issues. No Board decision is proposed at this stage. The paper is consistent with the Executive Board’s May 2013 endorsement of a work program focused on strengthening market-based approaches to resolving sovereign debt crises.




Predicting IMF-Supported Programs: A Machine Learning Approach


Book Description

This study applies state-of-the-art machine learning (ML) techniques to forecast IMF-supported programs, analyzes the ML prediction results relative to traditional econometric approaches, explores non-linear relationships among predictors indicative of IMF-supported programs, and evaluates model robustness with regard to different feature sets and time periods. ML models consistently outperform traditional methods in out-of-sample prediction of new IMF-supported arrangements with key predictors that align well with the literature and show consensus across different algorithms. The analysis underscores the importance of incorporating a variety of external, fiscal, real, and financial features as well as institutional factors like membership in regional financing arrangements. The findings also highlight the varying influence of data processing choices such as feature selection, sampling techniques, and missing data imputation on the performance of different ML models and therefore indicate the usefulness of a flexible, algorithm-tailored approach. Additionally, the results reveal that models that are most effective in near and medium-term predictions may tend to underperform over the long term, thus illustrating the need for regular updates or more stable – albeit potentially near-term suboptimal – models when frequent updates are impractical.




Public-Private Partnerships in the Caribbean Region


Book Description

To provide policymakers in the Caribbean with a governance framework for improving infrastructure through Public-Private Partnerships (PPPs), while limiting their fiscal costs and risks for the government. And to showcase Canada support to FAD technical assistance in the region and FAD collaboration with CARTAC and the Caribbean Development Bank




Impact Evaluation in Practice, Second Edition


Book Description

The second edition of the Impact Evaluation in Practice handbook is a comprehensive and accessible introduction to impact evaluation for policy makers and development practitioners. First published in 2011, it has been used widely across the development and academic communities. The book incorporates real-world examples to present practical guidelines for designing and implementing impact evaluations. Readers will gain an understanding of impact evaluations and the best ways to use them to design evidence-based policies and programs. The updated version covers the newest techniques for evaluating programs and includes state-of-the-art implementation advice, as well as an expanded set of examples and case studies that draw on recent development challenges. It also includes new material on research ethics and partnerships to conduct impact evaluation. The handbook is divided into four sections: Part One discusses what to evaluate and why; Part Two presents the main impact evaluation methods; Part Three addresses how to manage impact evaluations; Part Four reviews impact evaluation sampling and data collection. Case studies illustrate different applications of impact evaluations. The book links to complementary instructional material available online, including an applied case as well as questions and answers. The updated second edition will be a valuable resource for the international development community, universities, and policy makers looking to build better evidence around what works in development.