The first workshop in this series Using New forms of Information for Official Economic Statistics, focuses on how big data can be used to accurately augment, extend, and inform official estimates of economic behavior and performance. The workshop will focus on these issues through the examination of an exemplar use case The Commodity Flow Survey.
Based on mobile devices alone, commercial entities have the potential to collect extensive, fine grained, continuous, and identifiable records of a persons location and movement history, accompanied with a partial record of other mobile devices (potentially linked to people) encountered over that history.
Survey costs are increasing and response rates are decreasing. These pressures are forcing official statistical agencies to re-examine the way they collect data. Big Data are potential drivers of innovation that may reduce survey costs and respondent burden, but that also pose threats to inference and transparency. We need to understand how using big data, in conjunction with survey data collection, can address the issues posed by rising costs and nonresponse while producing transparent inference.