From twitter to GDP: Estimating economic activity from social media
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DOI: 10.1016/j.regsciurbeco.2020.103591
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- Indaco, Agustín, 2019. "From Twitter to GDP: Estimating Economic Activity From Social Media," MPRA Paper 95885, University Library of Munich, Germany.
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Cited by:
- Carlo Corradini & Emma Folmer & Anna Rebmann, 2022. "Listening to the buzz: Exploring the link between firm creation and regional innovative atmosphere as reflected by social media," Environment and Planning A, , vol. 54(2), pages 347-369, March.
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- Liotta, Charlotte & Viguié, Vincent & Lepetit, Quentin, 2022. "Testing the monocentric standard urban model in a global sample of cities," Regional Science and Urban Economics, Elsevier, vol. 97(C).
- Ahlfeldt, Gabriel M. & Gobillon, Laurent, 2021. "Introduction to the Special issue: “Emerging Trends in Urban Economics”," Regional Science and Urban Economics, Elsevier, vol. 90(C).
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More about this item
Keywords
Social media data; Big data; Cities; Satellite images; National accounts;All these keywords.
JEL classification:
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
- C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
- E01 - Macroeconomics and Monetary Economics - - General - - - Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts
- O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
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