We investigate how often replication studies are published in empirical economics and what types of journal articles are eventually replicated. We find that from 1974 to 2014 0.10% of publications in the Top 50 economics journals were replications. We take into account the results of replication...

In the aftermath of the financial and sovereign debt crisis, the need for a better understanding of the fiscal and equity implications of national tax policy reforms is greater than ever. National fiscal policies have a significant share in paving the way for economic recovery, fiscal...

The Household Finance and Consumption Survey (HFCS) is a recent initiative from the Eurosystem to collect comparable micro-data on household wealth and indebtedness in the euro area countries. The Household Finance and Consumption Network (HFCN), which comprises the European Central Bank (ECB),...

Interpersonal trust (i.e. trust in other people) is an issue of high interest to both policy-makers and researchers seeking to understand what drives social and economic outcomes. However, for trust to usefully inform policy and analysis it is necessary to have valid and reliable measures of it....

This report evaluates sources of international child well-being data to assess their suitability for supplementing national and transnational data sources to inform policy. The review of the leading surveys of children (and surveys of households with children) summarises the information...

This study examines interviewer effects on household non-response in the three waves of the Household Finance and Consumption Survey (HFCS) in Austria. We exploit the rare opportunity to combine this wealth survey data, accompanied by a large set of paradata on all households including...

While educational achievement surveys revolutionised research on education crossnationally, the surveys have been repeatedly subject of heated debate since first results were published. This paper reviews existing research examining the design and methodology of educational achievement surveys....

We define tail interdependence as a situation where extreme outcomes for some variables are informative about such outcomes for other variables. We extend the concept of multiinformation to quantify tail interdependence, decompose it into systemic and residual interdependence and measure the...

Computational methods to gauge investor sentiment from commonly used online data sources that rely on machine learning classifiers and lexicons have shown considerable promise, but suffer from measurement and classification errors. In our work, we develop a simple, direct and unambiguous...