The cost of gendered attitudes on a female candidate: Evidence from Google Trends
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DOI: 10.1016/j.econlet.2020.109495
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- Raphael Corbi & Pedro Picchetti, 2020. "The Cost of Gendered Attitudes on a Female Candidate: Evidence from Google Trends," Working Papers, Department of Economics 2020_08, University of São Paulo (FEA-USP).
References listed on IDEAS
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Cited by:
- Gutiérrez, Antonio, 2023. "La brecha de género en el emprendimiento y la cultura emprendedora: Evidencia con Google Trends [Entrepreneurship gender gap and entrepreneurial culture: Evidence from Google Trends]," MPRA Paper 115876, University Library of Munich, Germany.
- Matheus Pereira Libório & Petr Iakovlevitch Ekel & Carlos Augusto Paiva Martins, 2023. "Economic analysis through alternative data and big data techniques: what do they tell about Brazil?," SN Business & Economics, Springer, vol. 3(1), pages 1-16, January.
- Guzi, Martin & Mikula, Štěpán, 2021.
"Careful what you say: The effect of manipulative information on the 2013 Czech presidential run-off election,"
Economics Letters, Elsevier, vol. 209(C).
- Guzi, Martin & Mikula, Stepan, 2021. "Careful What You Say: The Effect of Manipulative Information on the 2013 Czech Presidential Run-off Election," IZA Discussion Papers 14856, Institute of Labor Economics (IZA).
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More about this item
Keywords
Gender; Discrimination; Election; Google;All these keywords.
JEL classification:
- D72 - Microeconomics - - Analysis of Collective Decision-Making - - - Political Processes: Rent-seeking, Lobbying, Elections, Legislatures, and Voting Behavior
- J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
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