Clever approach and data source. We looked at other measures like creativity with related methods.
Can mobile phone data predict economic change?
" ... This paper describes a structural break model to correctly detect the date of a mass layoff; a Bayesian classification model to identify affected individuals; and a method of applying features identified at the micro level to improve forecasts of macro unemployment rates—all using call detail records (CDRs) from mobile phones..... "
Friday, September 11, 2015
Predicting Economic Change with Smart Phone Activity
Labels:
Analytics,
Bayesian,
Data Assets,
Economics
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