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Controlling for Selection Bias in Social Media Indicators through Official Statistics: a Proposal Cover

Controlling for Selection Bias in Social Media Indicators through Official Statistics: a Proposal

Journal of Official Statistics
Volume 36 (2020): Issue 2 (June 2020)
By: Stefano M. Iacus,  Giuseppe Porro,  Silvia Salini and  Elena Siletti  
Open Access
|Jun 2020

Authors

Stefano M. Iacus

stefano.iacus@unimi.it

Department of Economics, Management and Quantitative Methods, University of Milan, Milan, Italy

Giuseppe Porro

giuseppe.porro@uninsubria.it

Department of Law, Economics and Culture, Univertity of Insubria, Como, Italy

Silvia Salini

silvia.salini@unimi.it

Department of Economics, Management and Quantitative Methods, University of Milan, Milan, Italy

Elena Siletti

elena.siletti@unimi.it

Department of Economics, Management and Quantitative Methods, University of Milan, Milan, Italy
DOI: https://doi.org/10.2478/jos-2020-0017 | Journal eISSN: 2001-7367
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Language: English
Page range: 315 - 338
Submitted on: Mar 1, 2019
|
Accepted on: Jan 1, 2020
|
Published on: Jun 15, 2020
Published by: Sciendo
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Well-being,
big data,
sentiment analysis,
small area estimation,
weighting
Related subjects:
Mathematics,
Probability and statistics

© 2020 Stefano M. Iacus, Giuseppe Porro, Silvia Salini, Elena Siletti, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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