This paper uses panel data for 19 OECD countries and finds support for the hypothesis that a greater degree of product … variety relative to the United States helps to explain relative per capita GDP levels. The empirical work relies upon some …

consumption and production and to decouple economic growth (GDP) from environmental degradation while Goal 12 focuses on … sustainable consumption and production. While GDP does not capture these broader goals, we suggest that the System of National … Accounts which incorporates but goes well beyond GDP, can be used for the measurement of these SDGs and to support policy. We …

statistically significant output effect under floating exchange rate regimes. For the estimation of the output effects of fiscal …

This paper presents a statistical analysis of revisions in quarterly gross domestic product (GDP) of the Group of … GDP has been weakened from the turmoil of the 2008 financial crisis. The results indicate that larger and more downward …

This paper assesses Brazil's growth performance from a long-term perspective, using crosscountry and panel estimation …

elasticities on a sample of 72 countries for real GDP and 28 countries for oil GDP over 6 years, I derive oil and non-oil GDP … growth for Yemen. I show that real GDP contracted by a cumulative 24 percent over 2015-17 against 50 percent according to …

-country variations in countries' real GDP per capita to examine this issue for a large sample of advanced and developing countries. Our … increase in real GDP per capita, on average, reduces the Gini coefficient by around 0.08 percentage points, a result that is … robust across income levels, different time horizons, and alternative estimation techniques. From a policy perspective, our …

In this paper we propose a novel approach to obtain the predictive density of global GDP growth. It hinges upon a … bottom-up probabilistic model that estimates and combines single countries' predictive GDP growth densities, taking into … the United States,the euro area, and China via a conditional kernel density estimation of a joint distribution. Then, we …