4 resultados para non-linear regression
em Repositório digital da Fundação Getúlio Vargas - FGV
Resumo:
We study the optimal “inflation tax” in an environment with heterogeneous agents and non-linear income taxes. We first derive the general conditions needed for the optimality of the Friedman rule in this setup. These general conditions are distinct in nature and more easily interpretable than those obtained in the literature with a representative agent and linear taxation. We then study two standard monetary specifications and derive their implications for the optimality of the Friedman rule. For the shopping-time model the Friedman rule is optimal with essentially no restrictions on preferences or transaction technologies. For the cash-credit model the Friedman rule is optimal if preferences are separable between the consumption goods and leisure, or if leisure shifts consumption towards the credit good. We also study a generalized model which nests both models as special cases.
Resumo:
We evaluate the forecasting performance of a number of systems models of US shortand long-term interest rates. Non-linearities, induding asymmetries in the adjustment to equilibrium, are shown to result in more accurate short horizon forecasts. We find that both long and short rates respond to disequilibria in the spread in certain circumstances, which would not be evident from linear representations or from single-equation analyses of the short-term interest rate.
Resumo:
As contribuições deste artigo são duas. A primeira, um método de avaliação de regressões não lineares para a previsão de retornos intradiários de ações no mercado brasileiro é discutido e aplicado, com o objetivo de maximizar o retorno de um portfólio simulado de compras e vendas. A segunda, regressões usando funções-núcleo associadas ao particionamento da amostra por vizinhos mais próximos são realizadas. Algumas variáveis independentes utilizadas são indicadores técnicos, cujos parâmetros são otimizados dentro da amostra de estimação. Os resultados alcançados são positivos e superam, em uma análise quartil a quartil, os resultados produzidos por um modelo benchmark de autorregressão linear
Resumo:
The main purpose of this study is identify and select the assessment indicators for Brand Equity (BE), in the fuels segment. Within this perspective, we have chosen to assess the influences based on the following attributes: Brand Loyalty (Lealdade à Marca ( LM), Brand Recognition (Conhecimento da Marca ( CM), Perceived Quality (Qualidade Percebida ( QP) and Brand Associations (Associações à Marca ( AM), through perception of consumers in Rio de Janeiro and São Paulo States. Based on deep interviews in the qualitative phase and in surveys, in the quantitative phase, we began the data analysis through Multiple Linear Regression, according to Atilgan et al. (2005) model and Ha (1996). In the first model, the (CM) was considered non-explanatory to (BE¿, and we¿ve chosen to remove it from the following study model. In the final model, besides remaining variables, demographic variables were included, such as: Family Income (Renda Familiar ( RF) and Federation State (Estado da Federação ( EF), as independent variables. The main relevant findings, through perception of consumers, indicated that the (BE) of company analyzed was better ranked in Rio de Janeiro than in São Paulo and, as for the income, higher level classes tend to have less understanding on the value of (BE) of Petrobras BR. The study finish with mentions the contribution of the research and management implication, as well as limitations and suggestions to further researchers.