世界银行-对全球风险的预测敏感性：BVAR分析（英）

Policy Research Working Paper11132Forecast Sensitivity to Global RisksA BVAR AnalysisHeather RuberlRemzi Baris TerciogluAdam ElderfieldEconomic Policy Global Department May 2025 Public Disclosure AuthorizedPublic Disclosure AuthorizedPublic Disclosure AuthorizedPublic Disclosure AuthorizedProduced by the Research Support TeamAbstractThe Policy Research Working Paper Series disseminates the findings of work in progress to encourage the exchange of ideas about development issues. An objective of the series is to get the findings out quickly, even if the presentations are less than fully polished. The papers carry the names of the authors and should be cited accordingly. The findings, interpretations, and conclusions expressed in this paper are entirely those of the authors. They do not necessarily represent the views of the International Bank for Reconstruction and Development/World Bank and its affiliated organizations, or those of the Executive Directors of the World Bank or the governments they represent.Policy Research Working Paper 11132Developing countries face uncertainties driven by global macroeconomic variables over which they have little to no control. Key exogenous factors faced by most developing countries include interest rates in high-income countries, commodity prices, global demand for exports, and remit- tance inflows. While these variables are sensitive to common global shocks, they also exhibit idiosyncratic fluctuations. This paper employs a Bayesian Vector Autoregression model to capture interdependencies of global variables and sim-ulates global risks using the empirical joint distribution of global shock as captured by joint Bayesian Vector Autore-gression errors. The simulated shocks are then integrated into the World Bank’s macro-structural model to assess how a range of potential global disturbances could impact economic outcomes across countries. The methodology is applied to 115 countries, using the World Bank’s fall 2024 edition of the Macro-Poverty Outlook forecasts as a baseline. Although the individual country results are het-erogeneous, the aggregate distribution of gross domestic product outcomes across the 115 countries suggests that global factors influence gross domestic product levels in individual developing countries by less than plus or minus 2 percent in most years, but by between 2 and 4 percent in about 3 in 10 years.This paper is a product of the Economic Policy Global Department. It is part of a larger effort by the World Bank to provide open access to its research and make a contribution to development policy discussions around the world. Policy Research Working Papers are also posted on the Web at http://www.worldbank.org/prwp. The authors may be contacted at hruberl@worldbank.org or rtercioglu@worldbank.org@worldbank.org. Forecast Sensitivity to Global Risks: A BVAR Analysis∗ Heather Ruberl1, Remzi Baris Tercioglu2, Adam Elderfield 1,2Economic Policy Global Department, World Bank JEL Classificatio