Drawing on recent examples of corruption in the Baltics and former Soviet Union, this pamphlet analyzes the links between governance and corruption, and emphasizes the high economic cost that corruption exacts. The pamphlet outlines how the IMF is working with the countries of the former Soviet...

Small developing states are disproportionately vulnerable to natural disasters. On average, the annual cost of disasters for small states is nearly 2 percent of GDP-more than four times that for larger countries. This reflects a higher frequency of disasters, adjusted for land area, as well as...

This paper reviews the fiscal implications of climate change, and the potential role of the Fund in addressing them. It stresses that: -- The potential fiscal implications are immediate as well as lasting, and liable to affect-in differing forms and degree-all Fund members. -- Climate change is...

Multilateral Consultations are a new tool of multilateral surveillance for the IMF, designed to foster action-oriented debate and policy actions on a problem of systemic or regional importance. The first multilateral consultation focused on facilitating the resolution of global imbalances while...

The 2005 Article IV Consultation for the United States reports that robust productivity growth and high corporate profits have contributed to a strong rebound in business investment and some acceleration in employment. The financial sector appears well positioned to provide continued support to...

This paper discusses the estimation of models of the term structure of interest rates. After reviewing the term structure models, specifically the Nelson-Siegel Model and Affine Term- Structure Model, this paper estimates the terms structure of Treasury bond yields for the United States with...

The 2008 crisis underscored the interconnectedness of the international business cycle, with U.S. shocks leading to the largest global slowdown since the 1930s. We estimate spillover effects across major advanced country regions in a structural VAR (SVAR) using pre-crisis data. Our new method...