We use Machine Learning (ML) predictive tools to propose a policy-assignment rule designed to increase the effectiveness of public guarantee programs. This rule can be used as a benchmark to improve targeting in order to reach the stated policy goals. Public guarantee schemes should target firms...

Negative Emissions Technologies (NETs) — a range of methods to remove carbon dioxide from the atmosphere— are a crucial innovation in meeting temperature targets set by international climate agreements. However, mechanisms which undo the adverse consequences of short-sighted actions (as...

Negative Emissions Technologies (NETs) - a range of methods to remove carbon dioxide from the atmosphere- are a crucial innovation in meeting temperature targets set by international climate agreements. However, mechanisms which undo the adverse consequences of short-sighted actions (as NETs)...

This paper revisits the soft budget constraint problem arising in decentralised countries. Capturing the specific dynamics of political decision making in a federation, new light is shed on the incentives at work when lower-level (state) governments overborrow and are bailed out by the federal...