Ontology highlight
ABSTRACT:
SUBMITTER: Toole JL
PROVIDER: S-EPMC4590504 | biostudies-literature | 2015 Jun
REPOSITORIES: biostudies-literature
Toole Jameson L JL Lin Yu-Ru YR Muehlegger Erich E Shoag Daniel D González Marta C MC Lazer David D
Journal of the Royal Society, Interface 20150601 107
Can data from mobile phones be used to observe economic shocks and their consequences at multiple scales? Here we present novel methods to detect mass layoffs, identify individuals affected by them and predict changes in aggregate unemployment rates using call detail records (CDRs) from mobile phones. Using the closure of a large manufacturing plant as a case study, we first describe a structural break model to correctly detect the date of a mass layoff and estimate its size. We then use a Bayes ...[more]