After two generations of economic growth, the next phase of structural transformation for Asia will have several salient features. Our results suggest that no single policy orientation, pathway, or even destination will apply to all economies. The main driver for each economy's structural change...

This paper proposes a new way of computing a coincident indicator for economic activity in France using data from business surveys. We use the generalized dynamic factor model not; la Forni and others (2000) to extract common components from a large number of survey observations. The results...

This paper backtests a nowcast of Japan's real GDP growth. Its distinguishing features are use of genuine real-time data, a new revision analysis to track the nowcast's evolution, and a comparison with a market consensus forecast at 13 monthly forecasting horizons. The nowcast's forecasting...

We explore the historical relationship between financial conditions and real economic growth for quarterly U.S. data from 1875 to 2017 with a flexible empirical copula modelling methodology. We compare specifications with both linear and non-linear dependence, and with both Gaussian and...

This paper evaluates whether publicly available daily news lead texts help nowcasting Swiss GDP growth. I collect titles and lead texts from three Swiss newspapers and calculate text-based indicators for various economic concepts. A composite indicator calculated from these indicators is highly...

In this paper we evaluate the relative merits of three approaches to information extraction from a large data set for forecasting, namely, the use of an automated model selection procedure, the adoption of a factor model, and single-indicator-based forecast pooling. The comparison is conducted...

In this paper we evaluate the role of a set of variables as leading indicators for Euro-area inflation and GDP growth. Our evaluation is based on using the variables in the ECB Euro-area model database, plus a set of similar variables for the US. We compare the forecasting performance of each...

The Covid-19 crisis has shown how high-frequency data can help tracking economic turning points in real-time. Our paper investigates whether high-frequency data can also improve the nowcasting performances for world GDP growth on quarterly or annual basis. To this end, we select a large dataset...

We produce predictions of Norwegian GDP. To this end, we estimate a Bayesian Dynamic Factor model on a panel of 14 variables (all followed closely by market operators) ranging from 1990 to 2011. By means of a pseudo real-time exercise we show that the Bayesian Dynamic Factor Model performs well...

Consumers' expected income growth declined significantly during the Great Recession. It was the most severe drop ever observed in these data, and expectations have not yet fully recovered. Furthermore, this article shows that expected income growth is a strong predictor of actual future income...