Early warning systems (EWS) are widely used for assessing countries' vulnerability to fiscal distress. Most EWS employ a specific set of only fiscal leading indicators predetermined by the researchers, which casts doubt on their robustness. We revisit this issue by using the Extreme Bound...

This paper reports the main findings of a pilot project launched in July 2014 by the IMF's Statistics Department to test augmenting the IMF's financial soundness indicators (FSIs) with concentration and distribution measures (CDMs) to capture tail risks, concentrations, variations in...

There is a vast body of literature estimating the impact of financial development on economic growth, inequality, and economic stability. A typical empirical study approximates financial development with either one of two measures of financial depth - the ratio of private credit to GDP or stock...

Modern systems of official statistics require the accurate and timely estimation of socio-demographic indicators for disaggregated geographical regions. Traditional data collection methods such as censuses or household surveys impose great financial and organizational burdens for National...

From 2014 until present, housing prices in Germany have been rising faster than consumer prices in all quarters except one, raising concerns about an excessive over-heating of the housing market. To assess the vulnerability of the German housing market to a future realignment of prices or even a...

The current paper broadens the understanding for the role of uncertainty in the context of a macroeconomic environment. It focuses on the implications of uncertainty shocks on indicators that tend to precede financial crises. In an empirical analysis we show for a set of four euro area countries...

During the last years more and more discussions came up about the contribution of technology-oriented and technology-intensive industries for employment and economic development. One reason for some of the contradictory evaluations of technology-intensive industries can be attributed to...