How do political leader's words and actions affect people's behavior? We address this question in the context of Brazil by combining electoral information and geo-localized mobile phone data for more than 60 million devices throughout the entire country. We find that after Brazil's president publicly and emphatically dismissed the risks associated with the COVID-19 pandemic and advised against isolation, the social distancing measures taken by citizens in pro-government localities weakened compared to places where political support of the president is less strong, while pre-event effects are insignificant. The impact is large and robust to different empirical model specifications, and definitions of political support and events. Moreover, we find suggestive evidence that this impact is driven by localities with relatively higher levels of media penetration, municipalities with presence of active Twitter accounts, and municipalities with a larger proportion of Evangelic parishioners, a key group in terms of support for the president.

In this paper, we examine the determinants of Brazilian city growth between 1970 and 2000. We consider a model of a city, which combines aspects of standard urban economics and the new economic geography literature. For the empirical analysis, we constructed a dataset of 123 Brazilian agglomerations, and estimate aspects of the demand and supply side as well as a reduced form specification that describes city sizes and their growth. Our main findings are that decreases in rural income opportunities, increases in market potential for goods and labor force quality and reduction in intercity-transport costs have strong impacts on city growth. We also find that local crime and violence, measured by homicide rates impinge on growth.

In this paper, we examine the determinants of Brazilian city growth between 1970 and 2000. We consider a model of a city, which combines aspects of standard urban economics and the new economic geography literatures. For the empirical analysis, we constructed a dataset of 123 Brazilian agglomerations, and estimate aspects of the demand and supply side as well as a reduced form specification that describes city sizes and their growth. Our main findings are that increases in rural population supply, improvements in interregional transport connectivity and education attainment of the labor force have strong impacts on city growth. We also find that local crime and violence, measured by homicide rates impinge on growth. In contrast, a higher share of private sector industrial capital in the local economy stimulates growth. Using the residuals from the growth estimation, we also find that cities who better administer local land use and zoning laws have higher growth. Finally, our policy simulations show that diverting transport investments from large cities towards secondary cities do not provide significant gains in terms of national urban performance.

The share of urban population in Brazil increased from 58 to 80 percent between 1970 and 2000 and all net population growth over the next 30 years is predicted to be in cities. This paper explores population growth and its implications for economic dynamics and income generation among 123 urban agglomerations. Incomes are higher in larger agglomerations and in the South, but there is some indication of regional convergence with higher rates of income growth in poorer areas. In particular, agglomerations in the North and Central-West are growing faster than the more established urban centers in the South. Economic dynamics point to a process of increased diversification among larger cities, and greater specialization among medium-sized agglomerations. In bigger centers there is a trend towards deconcentration towards the periphery. We close by providing a simple analysis of correlates of labor supply, as measured by population growth, and economic productivity, which is proxied by changes in per capita income.

Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in AbstractThis paper studies the effect of oil discoveries on economic growth in Brazilian municipalities for the period from 1940 to 2000. It uses a unique identification strategy which exploits data on the drilling of approximately 20,000 oil wells in Brazil since oil explorations began in the country. We argue that oil discoveries are randomly assigned conditional on geological characteristics. The quasi-experimental outcome from drilling generates the treatment assignment: municipalities where oil was discovered during drilling constitute the treatment group while municipalities with drilling but no discovery are the control group. In our preferred specifications we find that oil discoveries increase per capita GDP by 25% over the 60-years period compared to the control group. Importantly, oil extraction has positive spillovers to other sectors of the economy. Services GDP per capita is estimated to increase by roughly 20% and urbanization by over 4% points. We show that the increase in services GDP per capita is mainly due to an increase in labor productivity. In line with intuition, these spillovers are present for onshore but not for offshore discoveries.Among other potential channels, the results are consistent with an increase in local demand for non-tradable services driven by the oil producing firm and highly paid oil workers.

We construct a simple model of a city with heterogeneous agents and housing choice to explain the determinants of slums, home to about one-third of the urban population in developing countries. The model supports the main empirical evidence regarding slum formation and is able quantitatively to assess the role of each determinant of slum growth. We show that urban poverty, inequality and rural–urban migration explain much of the variation in slum growth in Brazil from 1980 to 2000. Ex ante evaluation of the impacts of policy interventions shows that removing barriers to formalisation has a strong impact on slum reduction.

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Este trabalho procurou discutir fatores de atração das exportações agropecuárias brasileiras. Para tal implementou-se um modelo gravitacional acrescido de procedimentos econométricos de efeitos fixos e aleatórios, além da abordagem por Mínimos Quadrados Ordinários (MQO). As principais variáveis identificadas como determinantes dessas exportações foram a distância para os mercados de destino, o PIB dos parceiros comerciais e a localização geográfica do país importador. Ademais, verificaram-se efeitos puzzles para a taxa de câmbio, o perfil agroexportador do país importador e a participação do setor agrícola na economia de destino. Por fim, o trabalho realça uma diferenciação das variáveis relevantes em função de características específicas dos parceiros comerciais brasileiros.
The paper discussed the main factors that explain the Brazilian agricultural exports. In order to achieve this goal, the paper applied a gravity model that includes fixed and random effects estimations, besides the Ordinary Least Squares (OLS) approach. Distance, trade partners' GDP, and geographical localization were the significant variables. Moreover, puzzle effects are associated to exchange rate, partners' agricultural exports profile and the partners' agricultural share in GDP. Finally, this study highlights the potential change of the relevant variables because of specific characteristics of each commercial Brazilian partner