The importance of digital platforms and related data-driven business models is ever in-creasing and poses challenges for the workability of competition in the respective markets (tendencies towards dominant platforms, paying-with-data instead of traditional money, privacy concerns, etc.). Due to...

Simulation is often used to evaluate and compare performances of stochastic systems, where the underlying stochastic models are estimated from real-world input data. Collecting more input data can derive closer-to-reality stochastic models while generating more simulation replications can reduce...

SMEs around the world are entering a crisis period in light of COVID-19, adding new urgency to understanding firm-level financial behaviors and challenges. At the same time, traditional methods of in-person data collection pose a health risk to both enumerator and firm and contravene social...

Our European economy runs on data, which has become an essential resource for economic growth, job creation and societal progress, and data sharing is often presented as the avenue forward to reap such benefits. This call for more data sharing might create tensions with the personal data...

In 2018, twelve years after a working group began to prepare a population census in the Democratic Republic of the Congo (DRC), the census project has still not been implemented. We therefore ask, ‘How have different stakeholders shaped the census project since 2006?' The unaccomplished...

This paper reviews methods that have been employed to estimate poverty in contexts where household consumption data are unavailable or missing. These contexts range from completely missing and partially missing consumption data in cross-sectional household surveys, to missing panel household...