Sabiia Seb
PortuguêsEspañolEnglish
Embrapa
        Busca avançada

Botão Atualizar


Botão Atualizar

Ordenar por: 

RelevânciaAutorTítuloAnoImprime registros no formato resumido
Registros recuperados: 4
Primeira ... 1 ... Última
Imagem não selecionada

Imprime registro no formato completo
SELECTING THE "BEST" PREDICTION MODEL: AN APPLICATION TO AGRICULTURAL COOPERATIVES 31
Rambaldi, Alicia N.; Zapata, Hector O.; Christy, Ralph D..
A credit scoring function incorporating statistical selection criteria was proposed to evaluate the credit worthiness of agricultural cooperative loans in the Fifth Farm Credit District. In-sample (1981-1986) and out-of-sample (1988) prediction performance of the selected models were evaluated using rank transformation discriminant analysis, logit, and probit. Results indicate superior out-of-sample performance for the management oriented approach relative to classification of unacceptable loans, and poor performance of the rank transformation in out-of-sample prediction.
Tipo: Journal Article Palavras-chave: Agribusiness.
Ano: 1992 URL: http://purl.umn.edu/30380
Imagem não selecionada

Imprime registro no formato completo
Re-testing the Resource Curse Hypothesis Using Panel Data and an Improved Measure of Resource Intensity 31
Rambaldi, Alicia N.; Hall, Greg; Brown, Richard P.C..
Most empirical studies of the Resource Curse Hypothesis (RCH) find evidence of a strong negative relationship between a country's natural resource abundance and economic growth. We question the reliability of these findings in relation to the definitions and measures used for both resource intensity and economic growth, and the econometric testing which we consider deficient. We use an alternative, per capita resource rents measure of resource intensity that excludes renewable resources and avoids the circularity and bias of other output-related measures. Using Cluster Analysis, we compare the grouping of countries on the basis of three resource intensity definitions; viz. Sachs and Warner's (1995), Gylfason and Zoega's (2002) and our per capita rents, and...
Tipo: Conference Paper or Presentation Palavras-chave: Resource Curse Hypothesis; Economic growth; Resource rents; Panel evidence; Cluster Analysis; Governance; Resource /Energy Economics and Policy; Q32; O13; O11; F43.
Ano: 2006 URL: http://purl.umn.edu/25289
Imagem não selecionada

Imprime registro no formato completo
MONTE CARLO EVIDENCE ON COINTEGRATION AND CAUSATION 31
Zapata, Hector O.; Rambaldi, Alicia N..
The small sample performance of Granger causality tests under different model dimensions, degree of cointegration, direction of causality, and system stability are presented. Two tests based on maximum likelihood estimation of error-correction models (LR and WALD) are compared to a Wald test based on multivariate least squares estimation of a modified VAR (MWALD). In large samples all test statistics perform well in terms of size and power. For smaller samples, the LR and WALD tests perform better than the MWALD test. Overall, the LR test outperforms the other two in terms of size and power in small samples.
Tipo: Working or Discussion Paper Palavras-chave: Causality tests; Cointegration; Likelihood ratio; Wald statistic; Monte Carlo Experiments; Research Methods/ Statistical Methods.
Ano: 1996 URL: http://purl.umn.edu/31690
Imagem não selecionada

Imprime registro no formato completo
Potential demand for hedging by Australian wheat producers 31
Simmons, Phil; Rambaldi, Alicia N..
The potential for hedging Australian wheat with the new Sydney Futures Exchange wheat contract is examined using a theoretical hedging model parametised from previous studies. The optimal hedging ratio for an `average' wheat farmer was found to be zero under reasonable assumptions about transaction costs and based on previously published measures of risk aversion. The estimated optimal hedging ratios were found by simulation to be quite sensitive to assumptions about the degree of risk aversion. If farmers are significantly more risk averse than is currently believed, then there is likely to be an active interest in the new futures market.
Tipo: Journal Article Palavras-chave: Crop Production/Industries; Marketing; Risk and Uncertainty.
Ano: 1997 URL: http://purl.umn.edu/118012
Registros recuperados: 4
Primeira ... 1 ... Última
 

Empresa Brasileira de Pesquisa Agropecuária - Embrapa
Todos os direitos reservados, conforme Lei n° 9.610
Política de Privacidade
Área restrita

Embrapa
Parque Estação Biológica - PqEB s/n°
Brasília, DF - Brasil - CEP 70770-901
Fone: (61) 3448-4433 - Fax: (61) 3448-4890 / 3448-4891 SAC: https://www.embrapa.br/fale-conosco

Valid HTML 4.01 Transitional