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We study theoretically and empirically whether natural resource windfalls affect political regimes. We document the following regularities. Natural resource windfalls have no effect on the political system when they occur in democracies. However, windfalls have significant political consequences in autocracies. In particular, when an autocratic country receives a positive shock to its flow of resource rents it responds by becoming even more autocratic. Furthermore, there is heterogeneity in the response of autocracies. In deeply entrenched autocracies the effect of windfalls on politics is virtually nil, while in moderately entrenched autocracies windfalls significantly exacerbate the autocratic nature of the political system. To frame the empirical work we present a simple model in which political incumbents choose the degree of political contestability by deciding how much to spend on vote-buying, bullying, or outright repression. Potential challengers decide whether or not to try to unseat the incumbent and replace him. The model uncovers a reason for the asymmetric impact of resource windfalls on democracies and autocracies, as well as the differential impact within autocratic regimes.
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We study theoretically and empirically whether natural resource windfalls affect political regimes. We document the following regularities. Natural resource windfalls have no effect on the political system when they occur in democracies. However, windfalls have significant political consequences in autocracies. In particular, when an autocratic country receives a positive shock to its flow of resource rents it responds by becoming even more autocratic. Furthermore, there is heterogeneity in the response of autocracies. In deeply entrenched autocracies the effect of windfalls on politics is virtually nil, while in moderately entrenched autocracies windfalls significantly exacerbate the autocratic nature of the political system. To frame the empirical work we present a simple model in which political incumbents choose the degree of political contestability by deciding how much to spend on vote-buying, bullying, or outright repression. Potential challengers decide whether or not to try to unseat the incumbent and replace him. The model uncovers a reason for the asymmetric impact of resource windfalls on democracies and autocracies, as well as the differential impact within autocratic regimes.
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We study the effect of information on technology adoption and productivity in agriculture. Our empirical strategy exploits the expansion of the mobile phone network in previously uncovered areas of rural India coupled with the availability of call centers for agricultural advice. We measure information on agricultural practices by analyzing the content of 2.5 million phone calls made by farmers to one of India's leading call centers for agricultural advice. We find that areas receiving coverage from new towers and with no language barriers between farmers and advisers answering their calls experience higher adoption of high yielding varieties of seeds and other complementary inputs, as well as higher increase in agricultural productivity. Our estimates indicate that information frictions can explain around 25 percent of the agricultural productivity gap between the most productive and the least productive areas in our sample.
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We survey the empirical literature in economics on the impact of media technologies on social capital. Motivated by a simple model of information and collective action, we cover a range of different outcomes related to social capital, from social and political participation to interpersonal trust, in its benign and destructive manifestations. The impact of media technologies hinges on their content ("information" vs "entertainment"), their effectiveness in fostering coordination, and the networks they create, as well as individual characteristics and media consumption choices.
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Welcome to EVALITA 2020! EVALITA is the evaluation campaign of Natural Language Processing and Speech Tools for Italian. EVALITA is an initiative of the Italian Association for Computational Linguistics (AILC, http://www.ai-lc.it) and it is endorsed by the Italian Association for Artificial Intelligence (AIxIA, http://www.aixia.it) and the Italian Association for Speech Sciences (AISV, http://www.aisv.it).
Language & Linguistics --- EVALITA --- COVID-19 Infodemic --- linguistica computazionale --- Automatic Misogyny Identification --- Misogyny on Twitter Posts --- AlBERTo --- Convolutional Neural Network --- BERT Model --- Hate Speech Detection --- Multimodal Meme Detection --- MEME management --- Language Game ``La Ghigliottina'' --- Language Game ``La
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The eighth edition of the Italian Conference on Computational Linguistics (CLiC-it 2021) was held at Università degli Studi di Milano-Bicocca from 26th to 28th January 2022. After the edition of 2020, which was held in fully virtual mode due to the health emergency related to Covid-19, CLiC-it 2021 represented the first moment for the Italian research community of Computational Linguistics to meet in person after more than one year of full/partial lockdown.
Linguistics --- linguistica computazionale --- linguistica --- linguistique computationelle --- linguistique --- Computational Linguistics --- Language
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