Intergovernmental fiscal frameworks usually reflect fundamental societal choices and history and are not foremost geared towards achieving economic policy objectives. Yet, like most institutional arrangements, fiscal relations affect the behaviour of firms, households and governments and thereby...

This paper examines how structural policies can influence a country's risk of suffering financial turmoil. Using a panel of 184 developed and emerging economies from 1970 to 2009, the empirical analysis examines which structural policies can affect financial stability by either shaping the...

This paper summarises earlier OECD work aimed at quantifying the impact of structural reforms on economic outcomes. It overviews: i.) insights obtained for the linear relationships linking policies and economic outcomes (including multi-factor productivity, capital deepening and employment) for...

This document describes the OECD’s new Structural Policy Indicators Database for Economic Research (SPIDER). The database compiles data from various existing databases. It contains indicators capturing structural policies (including institutions, framework condition policies and policies...

This paper estimates and quantifies the impact of structural reforms on per capita income for a large set of OECD and non-OECD countries. The findings suggest that the quality of institutions matters to a large extent for economic outcomes. More competition-friendly regulations, as measured by...

The rapid integration of emerging market economies (EMEs) into world trade over the past three decades has raised widespread concerns about the effects this is having on trade-exposed sectors in advanced OECD countries. An analysis of international trade patterns of over 4000 products between...

Uncertainty is inherent to forecasting and assessing the uncertainty surrounding a point forecast is as important as the forecast itself. Following Cornec (2010), a method to assess the uncertainty around the indicator models used at OECD to forecast GDP growth of the six largest member...

The present paper develops Adaptive Trees, a new machine learning approach specifically designed for economic forecasting. Economic forecasting is made difficult by economic complexity, which implies non-linearities (multiple interactions and discontinuities) and unknown structural changes (the...