Abraham Sarah, Samira
(2023)
Essays in development and political economy, [Dissertation thesis], Alma Mater Studiorum Università di Bologna.
Dottorato di ricerca in
Economics, 34 Ciclo. DOI 10.48676/unibo/amsdottorato/10908.
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Abstract
This thesis includes three papers studying diverse questions in development, economic history and political economy. The first two chapters, that fall under development and economic history, use novel forms of text data and analysis to answer the questions at hand. The first chapter studies the possible impact of a historically matrilineal and matrilocal caste group on present day outcomes of gender equality. It introduces a novel surname strategy using electoral data to deduce caste from the surnames of electors and overcomes the unavailability of caste data. It shows proof of persistence of caste in space. And finally, following a matching exercise it concludes that the effect of the matrilineal and matrilocal caste on present day gender outcomes might not be as strong as previously believed. The second paper studies how discriminatory fake news arises and spatially diffuses. It focuses on India at the onset of the COVID-19 pandemic: on March 30, a Muslim convention (the Tablighi Jamaat) in New Delhi became publicly recognized as a COVID hotspot, and the next day, fake news on Muslims intentionally spreading the virus spiked. Using Twitter data, it finds, in cross-sectional and difference-in-difference settings, that discriminatory fake news became much more widespread after March 30 (1) in New Delhi, (2) in districts closer to New Delhi, and (3) in districts with higher social media interactions with New Delhi. Further, it shows that, after March 30, discriminatory fake news was more common in districts historically exposed to attacks by Muslim groups. The final paper is a political economy paper that studies the short term and long term effect of earlier eligibility on voting in the context of a large North Italian municipality setting with little institutional barriers to voting. It also studies the differing mobilisation of members in the same household by newly eligible voters.
Abstract
This thesis includes three papers studying diverse questions in development, economic history and political economy. The first two chapters, that fall under development and economic history, use novel forms of text data and analysis to answer the questions at hand. The first chapter studies the possible impact of a historically matrilineal and matrilocal caste group on present day outcomes of gender equality. It introduces a novel surname strategy using electoral data to deduce caste from the surnames of electors and overcomes the unavailability of caste data. It shows proof of persistence of caste in space. And finally, following a matching exercise it concludes that the effect of the matrilineal and matrilocal caste on present day gender outcomes might not be as strong as previously believed. The second paper studies how discriminatory fake news arises and spatially diffuses. It focuses on India at the onset of the COVID-19 pandemic: on March 30, a Muslim convention (the Tablighi Jamaat) in New Delhi became publicly recognized as a COVID hotspot, and the next day, fake news on Muslims intentionally spreading the virus spiked. Using Twitter data, it finds, in cross-sectional and difference-in-difference settings, that discriminatory fake news became much more widespread after March 30 (1) in New Delhi, (2) in districts closer to New Delhi, and (3) in districts with higher social media interactions with New Delhi. Further, it shows that, after March 30, discriminatory fake news was more common in districts historically exposed to attacks by Muslim groups. The final paper is a political economy paper that studies the short term and long term effect of earlier eligibility on voting in the context of a large North Italian municipality setting with little institutional barriers to voting. It also studies the differing mobilisation of members in the same household by newly eligible voters.
Tipologia del documento
Tesi di dottorato
Autore
Abraham Sarah, Samira
Supervisore
Co-supervisore
Dottorato di ricerca
Ciclo
34
Coordinatore
Settore disciplinare
Settore concorsuale
Parole chiave
Caste, Biased sex ratios, Gender, Discrimination, Fake news, Religion, Covid, India, Age, Voting, Mobilisation
URN:NBN
DOI
10.48676/unibo/amsdottorato/10908
Data di discussione
19 Giugno 2023
URI
Altri metadati
Tipologia del documento
Tesi di dottorato
Autore
Abraham Sarah, Samira
Supervisore
Co-supervisore
Dottorato di ricerca
Ciclo
34
Coordinatore
Settore disciplinare
Settore concorsuale
Parole chiave
Caste, Biased sex ratios, Gender, Discrimination, Fake news, Religion, Covid, India, Age, Voting, Mobilisation
URN:NBN
DOI
10.48676/unibo/amsdottorato/10908
Data di discussione
19 Giugno 2023
URI
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