A number of recent studies have empirically documented links between characteristics of World Bank projects and their ultimate outcomes as evaluated by the World Bank's Independent Evaluation Group. This paper explores the in-sample and out-of-sample predictive performance of empirical models...

A number of recent studies have empirically documented links between characteristics of World Bank projects and their ultimate outcomes as evaluated by the World Bank's Independent Evaluation Group. This paper explores the in-sample and out-of-sample predictive performance of empirical models...

Our goal is to predict which forests are harvestable in New Zealand each year, and the stumpage profits attained from harvesting. We begin by documenting how Motu updates the 2008 Land Use in Rural New Zealand map to match the 2013 National Exotic Forest Description planted forest dataset. We...

This paper develops a simulation-based solution method to solve large state space macrofinance models using machine learning. We use a neural network (NN) to approximate the expectations in the optimality conditions in the spirit of the stochastic parameterized expectations algorithm (PEA)....