articles
Short-term forecasting of demographic trends based on Google Trends data
Published in
№ 6(90)
28 december 2020 year
Rubric: Researching of processes and systems
Authors: Kalabikhina I., Abduselimova I., Arkhangelsky V., Banin E., Klimenko G., Kolotusha A., Nikolaeva U., Shamsutdinova V.
Rubric: Researching of processes and systems
Authors: Kalabikhina I., Abduselimova I., Arkhangelsky V., Banin E., Klimenko G., Kolotusha A., Nikolaeva U., Shamsutdinova V.
demographic forecasting, fertility, nuptiality, time series, big data, Google trends, ARIMA-model
The author:
Kalabikhina I.
Degree:
Dr. Sci. (Econ.), Professor, Head of Department of Population Economics, Lomonosov Moscow State University
Location:
Moscow, Russia
The author:
The author:
Arkhangelsky V.
Degree:
Cand. Sci. (Econ.), Head of a Sector of Laboratory of Population Economics and Demography, Lomonosov Moscow State University
Location:
Moscow, Russia
The author:
The author:
The author:
Kolotusha A.
Degree:
Postgraduate, Laboratory worker of Department of Population Economics, postgraduate student, Lomonosov Moscow State University
Location:
Moscow, Russia
The author:
Nikolaeva U.
Degree:
Dr. Sci. (Econ.), Senior Scientific Researcher of Department of Population Economics, Lomonosov Moscow State University
Location:
Moscow, Russia
The author:
Shamsutdinova V.
Degree:
Postgraduate of Department of Population Economics, Lomonosov Moscow State University
Location:
Moscow, Russia
