2 resultados para binary analysis

em Portal de Revistas Científicas Complutenses - Espanha


Relevância:

30.00% 30.00%

Publicador:

Resumo:

The Bolsa Família Program goal is to promote social development and poverty reduction, through the direct transfer of conditional cash, in association with other social programs. This study aims to analyze whether Bolsa Família had an association with children’s school attendance, which is one of the educational conditions of the program. Our main hypothesis is that children living in households receiving Bolsa Família had greater chances of attending school. Data from the Ministry of Social Development and Combating Famine indicated that children living in households with Bolsa Família had greater school enrolment levels. By using data from the 2010 Demographic Census, collected by the Brazilian Institute of Geography and Statistics (IBGE), some descriptive analyzes and binary logistic regression models were performed for different thresholds of household per capita income. These estimates were made by comparing children who lived in households receiving Bolsa Família to those children not receiving the program. We took into consideration characteristics about the household, mothers, and children. The results were clustered by the municipality of residence of the child. In all income thresholds, children benefi ting from Bolsa Família were more likely to be enrolled in school, compared to children not receiving the benefi t.

Relevância:

30.00% 30.00%

Publicador:

Resumo:

Cooperatives have a long historical experience in the Spanish economy and have demonstrated their ability to compete against traditional firms in the market. To maintain this capability, while taking advantage of the competitive advantages associated with their idiosyncrasies as social economy enterprises, they should take into consideration that the economy is increasingly globalized and increasingly knowledge-based, especially with regards to technological content. As a consequence, the innovative capacity appears to be a key aspect in order to be able to challenge competitors. This article characterizes the innovative behavior of cooperatives in the region of Castile and Leon and analyses the internal and external factors affecting their innovative performance, based on data from a survey of 581 cooperatives. The results of the empirical analysis, which is performed by multivariate binary logistic regression on various types of innovation, lead us to identify the size of the organizations, the existence of planning, the R & D activities and the human capital as the main determining factors.