https://hdl.handle.net/10438/13912 2021-11-05T20:53:04Z 2021-11-05T20:53:04Z Veloso, Fernando A. Matos, Silvia Maria Peruchetti, Paulo Henrique Ribeiro https://hdl.handle.net/10438/31226 2021-10-21T13:28:36Z 2020-01-01T00:00:00Z

Produtividade total dos fatores apresenta queda de 1,7% no primeiro trimestre de 2020 Veloso, Fernando A.; Matos, Silvia Maria; Peruchetti, Paulo Henrique Ribeiro

2020-01-01T00:00:00Z Veloso, Fernando A. Matos, Silvia Maria Peruchetti, Paulo Henrique Ribeiro https://hdl.handle.net/10438/31225 2021-10-21T13:14:29Z 2020-01-01T00:00:00Z

Com o avanço da pandemia do Coronavírus, produtividade do trabalho recua 1% no primeiro trimestre de 2020 Veloso, Fernando A.; Matos, Silvia Maria; Peruchetti, Paulo Henrique Ribeiro

2020-01-01T00:00:00Z Veloso, Fernando A. Matos, Silvia Maria Peruchetti, Paulo Henrique Ribeiro https://hdl.handle.net/10438/31224 2021-10-21T13:02:25Z 2019-01-01T00:00:00Z

Produtividade do trabalho recua 0,6% no quarto trimestre de 2019 e fecha o ano com queda de 1% Veloso, Fernando A.; Matos, Silvia Maria; Peruchetti, Paulo Henrique Ribeiro

2019-01-01T00:00:00Z Veloso, Fernando A. Matos, Silvia Maria Peruchetti, Paulo Henrique Ribeiro https://hdl.handle.net/10438/31223 2021-10-21T12:53:06Z 2020-01-01T00:00:00Z

Indicadores trimestrais de produtividade do trabalho no Brasil Veloso, Fernando A.; Matos, Silvia Maria; Peruchetti, Paulo Henrique Ribeiro

2020-01-01T00:00:00Z Biderman, Ciro Mendonça, Marcus Mentzingen de Mello, Patricia Alencar Silva Oshiro, Cláudia Hiromi Foditsch, Nathalia https://hdl.handle.net/10438/31208 2021-10-08T20:37:20Z 2021-01-01T00:00:00Z

Big data para o desenvolvimento urbano sustentável: criando políticas públicas urbanas baseadas em evidências Biderman, Ciro; Mendonça, Marcus Mentzingen de; Mello, Patricia Alencar Silva; Oshiro, Cláudia Hiromi; Foditsch, Nathalia

2021-01-01T00:00:00Z Biderman, Ciro Mendonça, Marcus Mentzingen de Mello, Patricia Alencar Silva Oshiro, Cláudia Hiromi Foditsch, Nathalia https://hdl.handle.net/10438/31207 2021-10-08T20:40:34Z 2021-01-01T00:00:00Z

Big data for sustainable urban development: creating evidence-based urban public policies Biderman, Ciro; Mendonça, Marcus Mentzingen de; Mello, Patricia Alencar Silva; Oshiro, Cláudia Hiromi; Foditsch, Nathalia

2021-01-01T00:00:00Z Biderman, Ciro Mendonça, Marcus Mentzingen de Mello, Patricia Alencar Silva Oshiro, Cláudia Hiromi Foditsch, Nathalia https://hdl.handle.net/10438/31206 2021-10-08T20:44:49Z 2021-01-01T00:00:00Z

Big data para el desarrollo urbano sostenible: creando políticas públicas urbanas basadas en evidencias Biderman, Ciro; Mendonça, Marcus Mentzingen de; Mello, Patricia Alencar Silva; Oshiro, Cláudia Hiromi; Foditsch, Nathalia

2021-01-01T00:00:00Z Correia, Fernando Alves Nunes, José Luiz Almeida, Guilherme da Franca Couto Fernandes de Almeida, Alexandre A. A. Lopes, Hélio https://hdl.handle.net/10438/31153 2021-09-30T13:12:33Z 2019-09-01T00:00:00Z

An Exploratory Analysis of Precedent Relevance in the Brazilian Supreme Court Rulings Correia, Fernando Alves; Nunes, José Luiz; Almeida, Guilherme da Franca Couto Fernandes de; Almeida, Alexandre A. A.; Lopes, Hélio The new Brazilian Code of Civil Procedure (CPC) has elevated the importance of precedents in the legal decision-making process. This increased the need to find relevant precedents for a given issue or dispute. Precedents play a central role in judicial thinking by providing information to judges about the legal relevance of particular facts and by establishing legal rules. Precedents are also an important argumentative tool, enabling lawyers to present arguments based on previous decisions. The automated search for relevant precedents is an unattended issue in the Brazilian scenario, partly due to the court’s massive production of decisions — only in 2018 the Brazilian Supreme Court (STF) produced more than 121.000 new rulings — and partly due to the technical challenges arising from the unstructured nature of the court’s practices. In this paper, we present a study of precedent relevance, taking into account the uniqueness of the Brazilian legal system and of STF. To do so, we conducted an exploratory investigation over the precedent network extracted from 1.152.963 decisions published by the STF between 2008 and 2018. This exploratory analysis, although interesting in itself, reveals important challenges that need to be overcome by future research in order for the technology to have the kind of impact it can have on legal practice and academia. In our conclusion, we set out possible paths forward, briefly considering some of the most promising ways to sort out the signal from the noise.

2019-09-01T00:00:00Z Machado, Cecilia Rachter, Laísa https://hdl.handle.net/10438/31128 2021-09-23T18:13:08Z 2020-01-01T00:00:00Z

Better Neighborhoods or Better Houses? The Effects of Housing Policies on Poor Households in Brazil Machado, Cecilia; Rachter, Laísa This paper evaluates the effects of a housing program that built houses for low-income families from the city of Rio de Janeiro (Brazil). We explore the lotteries used to select the program’s beneficiaries to provide evidence of its effects on location, housing quality, housing costs, and household choices. The program induced households to move to less populated, more impoverished, and more distant neighborhoods. However, it increased the houses’ quality in which these households lived and decreased their housing costs. Increases in other expenditures did not compensate for the decline in housing costs. Furthermore, we find the program did not influence labor force participation and income and weakly increased teenagers’ enrollment. Overall, our evidence contributes to understanding the mechanisms through which housing programs affect well-being.

2020-01-01T00:00:00Z Machado, Cecilia Rachter, Laísa https://hdl.handle.net/10438/31125 2021-09-23T17:26:21Z 2020-12-01T00:00:00Z

The effects of better houses on infant health Machado, Cecilia; Rachter, Laísa This paper examines the effects of better houses on infant health in the context of Brazil’s Minha Casa Minha Vida program, which built roughly 900,000 houses to poor households in Brazil during the period 2010-2017. We use a regression discontinuity design and administrative data to estimate the program’s effects on health at birth and infant health. We find the program reduced the share of households living in inadequate houses by 18 percentage points. We find this improvement in housing conditions led to increases in birth weight and decreases in infant (before 1 year) mortality caused by conditions originating in children’s perinatal period. We find no effect of the program in children with more than one year. Our results point out the importance of better houses in improving health at birth.

2020-12-01T00:00:00Z