This paper revisits the issue of environment and development raised in the 1992 World Development Report, with new analysis tools and data. The paper discusses inference and interpretation in a machine learning framework. The results suggest that production gradually favors conserving the...

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...

A semiparametric varying coefficient model is used to explore the heterogeneity in returns to export promotion across countries. Differences in characteristics of export-promotion agencies drive the heterogeneity in returns. Interestingly, characteristics that matter for export growth do not...

This paper introduces a Spatial Vector Autoregressive Moving Average (SVARMA) model in which multiple cross-sectional time series are modeled as multivariate, possibly fat-tailed, spatial autoregressive ARMA processes. The estimation requires specifying the cross-sectional spillover channels...