This study employs big data and text data mining techniques to forecast financial market volatility. We incorporate financial information from online news sources into time series volatility models. We categorize a topic for each news article using time stamps and analyze the chronological...

The design of a poverty measure involves the selection of a set of parameters and poverty figures. In most cases the measures are estimated from sample surveys. This raises the question of how conclusive particular poverty comparisons are subject to both the set of selected parameters (or...

This work provides a comprehensive overview of the giant leap made by European central bank statistics over the last quarter century. We illustrate, first, the work that led to a brand-new set of central bank statistics for the implementation of the common monetary policy in the euro area and...

In a globalized world, more and more decisions taken by public and private agents are based, directly or indirectly, on international statistics. By putting the national data into perspective and/or complement them with additional indicators, data produced and disseminated by international...

The World Bank's approach to estimating the extent, distribution and trend of global income poverty is neither meaningful nor reliable. The Bank uses an arbitrary international poverty line that is not adequately anchored in any specification of the real requirements of human beings. Moreover,...