At the request of the Italian Presidency of the G7, the IMF has prepared a paper on gender-budgeting as a contribution to the G7 initiative on equality. The paper provides an overview of gender-responsive budgeting concepts and practices in the G7 countries. It summarizes recent trends in gender...

Greater gender diversity of the IMF's Executive Board continues to be important to strengthen decision-making at the highest levels of the institution by bringing together different perspectives. Increasing the number of women Executive Directors and Alternate Executive Directors sends important...

While there are ample reasons for discussing gender diversity in good times, there is an even greater need in bad times. At the time of this report, the economic and social consequences of the Covid-19 pandemic, as well as the negative spillovers and higher inflation following Russia's war in...

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...