Big Data for Twenty-First-Century Economic Statistics

Big Data for Twenty-First-Century Economic Statistics

The papers in this volume analyze the deployment of Big Data to solve both existing and novel challenges in economic measurement. The existing infrastructure for the production of key economic statistics relies heavily on data collected through sample surveys and periodic censuses, together with adm...

Полное описание

Библиографическая информация
Главный автор:	Abraham, Katharine G.
Другие авторы:	Jarmin, Ron S., Moyer, Brian C., Shapiro, Matthew D.
Формат:	Электронная книга
Язык:	English
Публикация:	Chicago University of Chicago Press, 2022.
Серии:	Studies in income and wealth.
Предметы:	Big data. Economics > Statistical methods > Data processing. Données volumineuses. Économie politique > Méthodes statistiques > Informatique. BUSINESS & ECONOMICS / General. EBSCO eBooks Electronic books.
Online-ссылка:	EBSCOhost Перейти в каталог НБ ТГУ

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