5 resultados para Tree Crown Segmentation
em Repositório digital da Fundação Getúlio Vargas - FGV
Resumo:
This paper measures the degree of segmentation in the brazilian labor market. Controlling for observable and unobservable characteristics, workers earn more in the formal sector, which supports the segmentation hypothesis. We break down the degree of segmentation by socio-economic attributes to identify the groups where this phenomenon is more prevalent. We investigate the robustness of our findings to the inclusion of self-employed individuals, and apply a two-stage panel probit model using the self-selection correction strategy to investigate a potential weakness of the fixed-effects estimator
Resumo:
A organização do trabalho constitui-se a partir da caracterização de sua estrutura e dos respectivos impactos do desempenho de papéis profissionais. O relacionamento interpessoal no ambiente de trabalho reflete o grau de participação e colaboração dos indivíduos. Os indivíduos diferem uns dos outros pelas suas atitudes em relação a um trabalho "estimulante" ou não. O valor prático do estudo, busca analisar o grau de satisfação I insatisfação dos indivíduos em relação a si próprios e em relação a empresa. Também foi feito um estudo das abordagens motivacionais e suas ligações com os indivíduos acima citados. A maior parte dos autores que contribuíram ao desenvolvimento dos temas considerados neste estudo parecem ter querido conciliar dois imperativos: aumentar a rendimento dos trabalhadores e elevar o seu nível de satisfação no trabalho (este segundo imperativo foi reformulado recentemente em termos de melhora da qualidade de vida no trabalho). Ainda no corpo do trabalho foram apresentados resultados da pesquisa realizada e discutidas algumas das abordagens motivacionais, com a finalidade de fundamentar teoricamente a questão principal que é a forma de administração da empresa o que se trata de satisfação I motivação na empresa TREE TOOLS, escolhida como agente deste estudo de caso.
Resumo:
The goal of this paper is to introduce a class of tree-structured models that combines aspects of regression trees and smooth transition regression models. The model is called the Smooth Transition Regression Tree (STR-Tree). The main idea relies on specifying a multiple-regime parametric model through a tree-growing procedure with smooth transitions among different regimes. Decisions about splits are entirely based on a sequence of Lagrange Multiplier (LM) tests of hypotheses.
Resumo:
This paper analyses the welfare consequences of temporary exchange rate-based stabilization programs. Differently than previous papers, however, here we assume that only a fraction of households participates in asset market transactions. With this asset market segmentation assumption, the effects of temporary programs on welfare may change drastically. Households with access to the bonds market are able to protect themselves better from the changes in the inflation rate – although at the cost of a distortion in their consumption path. As a consequence, they may decrease their inflation tax burden – which would increase for the other group of households. By the other side, when these agents that lack the access to the asset markets are credit constrained, they may welcome the program, since the government Is temporally reducing the inflation tax they have to pay. The temporary program could end up benefiting both groups, what could help to understand their popularity.
Resumo:
Industrial companies in developing countries are facing rapid growths, and this requires having in place the best organizational processes to cope with the market demand. Sales forecasting, as a tool aligned with the general strategy of the company, needs to be as much accurate as possible, in order to achieve the sales targets by making available the right information for purchasing, planning and control of production areas, and finally attending in time and form the demand generated. The present dissertation uses a single case study from the subsidiary of an international explosives company based in Brazil, Maxam, experiencing high growth in sales, and therefore facing the challenge to adequate its structure and processes properly for the rapid growth expected. Diverse sales forecast techniques have been analyzed to compare the actual monthly sales forecast, based on the sales force representatives’ market knowledge, with forecasts based on the analysis of historical sales data. The dissertation findings show how the combination of both qualitative and quantitative forecasts, by the creation of a combined forecast that considers both client´s demand knowledge from the sales workforce with time series analysis, leads to the improvement on the accuracy of the company´s sales forecast.