Natural disasters can cause substantial damage to public and private sector infrastructure capital, generating macroeconomic losses through complex channels. These shocks must be managed and accounted for with macrofiscal and monetary policy to minimize their welfare impacts. To support this...

This paper summarizes the World Bank's approach to identifying parameters for key equations in its macro structural model for countries where short sample sizes or major structural changes render traditional time-series approaches infeasible or yield unstable estimates. To identify parameters...

Fiscal buffers have shrunk across the world. This paper argues that limited fiscal room in emerging market economies today is partly due to the commodity super cycle of 2000-15. The super cycle created the mirage that economic performance had structurally improved, mistaking a long,...

This paper summarizes the World Bank's approach to identifying parameters for key equations in its macro structural model for countries where short sample sizes or major structural changes render traditional time-series approaches infeasible or yield unstable estimates. To identify parameters...

This paper outlines the structure and economic foundation of the World Bank's macroeconomic and fiscal model (MFMod). MFMod consists of individual country models for 181 countries. The models are used by country economists within the World Bank's Macroeconomics, Trade and Investment Global...

Following the 2007-2009 global recession, economic policy uncertainty and its effect on economic recovery has become an issue of interest in academic, media as well as policy-making circles (Baker et al., 2013). Given this backdrop, we investigate causality between economic policy uncertainty in...

Breaking ground from all previous studies, we estimate a time-varying Vector Autoregression model that examines the time-period 1270-2016 - the entire economic history of the U.K. Focusing on permanent and transitory shocks in the economy, we study the fluctuation in conditional volatilities and...

We examine the predictive value of expected skewness of oil returns for the realized volatility using monthly data from 1859:11 to 2023:04. We utilize a quantile predictive regression model, which is able to accommodate nonlinearity and structural breaks. In-sample results show that the...