This paper provides future researchers of economic structure with a model for building a social accounting matrix (SAM), that is, a unique countrywide database for use in structural analysis, and applies this model to the empirical investigation of the economic structure of Pakistan. Our...

The present paper presents key sector research for the Namibian economy, based on input-output and Social Accounting Matrix (SAM) analyzes. The analyses were derived from a Namibian SAM for the 2004 period, using 28 economic sectors. We find that mining and government services are currently key...

How much tourism contributes to the economies of developing countries is controversial and often not measured rigorously. Focusing on Mozambique, this study presents a simple accounting tool - a tourist-focused Social Accounting Matrix - which makes it possible to estimate the economic...

Is there a trade-off between fluctuations and growth? The empirical evidence is mixed, with some studies finding a positive relationship, while others find a negative one. Our objectives are to understand how fundamental uncertainty affects the long run growth rate and to identify important...

In the fight against global warming, the reduction of greenhouse gas emissions is a major objective. In particular, a decrease in electricity generation by coal could contribute to reducing CO2 emissions. Using a multi-region dynamic general equilibrium model, this paper studies potential...

Fan charts were pioneered by the Bank of England and Riksbank and provide a visually appealing means to convey the uncertainty surrounding a forecast. This paper describes a method for parameterising fan charts around GDP growth forecasts by which the degree of uncertainty is based on past...

This paper describes a method for parameterising fan charts around GDP growth forecasts of the major OECD economies as well as the aggregate OECD. The degree of uncertainty – reflecting the overall spread of the fan chart – is based on past forecast errors, but the skew – reflecting...

This paper describes an algorithm, “DoomBot”, which selects parsimonious models to predict downturns over different quarterly horizons covering the ensuing two years for 20 OECD countries. The models are country- and horizon-specific and are automatically updated as the estimation sample...

An extensive literature explains recession risks using a variety of financial and business cycle variables. The problem of selecting a parsimonious set of explanatory variables, which can differ between countries and prediction horizons, is naturally suited to machine-learning methods. The...