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| Registros recuperados: 30 | |
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| Subbotin, Alexander. |
| The Russian establishment- politicians, agricultural officials, corporate farm managers, the media- firmly believe that inadequate access to credit is one of the major factors constraining the growth of the agricultural sector. In technical terms, they in effect claim that Russian agriculture faces credit rationing. In this article, we apply discrete regression analysis to study the determinants of access to credit for corporate farms, without addressing the issue of whether or not the actual borrowing is sufficient for the farms' needs. Our analysis shows that factors reflecting economic efficiency are the main determinants of access to credit. On the other hand, asset endowments, such as land and capital stock, have a very weak effect on the ability to... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Russian agriculture; Transition economics; Farm finance; Credit rationing; Logistic regression; Agricultural Finance; P340; Q140. |
| Ano: 2005 |
URL: http://purl.umn.edu/24514 |
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| Mitchell, Michael N.; Chen, Xiao. |
| This paper considers the role of covariates when using predicted probabilities to interpret main effects and interactions in logit models. While predicted probabilities are very intuitive for interpreting main effects and interactions, the pattern of results depends on the contribution of covariates. We introduce a concept called the covariate contribution, which reflects the aggregate contribution of all of the remaining predictors (covariates) in the model and a family of tools to help visualize the relationship between predictors and the predicted probabilities across a variety of covariate contributions. We believe this strategy and the accompanying tools can help researchers who wish to use predicted probabilities as an interpretive framework for... |
| Tipo: Journal Article |
Palavras-chave: Logistic regression; Predicted probabilities; Main effects; Interactions; Covariate contribution; Research Methods/ Statistical Methods. |
| Ano: 2005 |
URL: http://purl.umn.edu/117500 |
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| Randela, Rendani; Alemu, Zerihun Gudeta; Groenewald, Jan A.. |
| This paper uses data collected from 177 small-scale farming households in Mpumalanga in an effort to identify factors that significantly influence the degree of commercialisation or market participation. A logistic regression model was applied within the transaction costs framework. Results support the hypothesis that transactions costs rank among the main determinants of commercialisation. The following variables were statistically significant: age, ability to speak/understand English, region, ownership of transport, access to market information, distance to market, dependency ratio, trust, land size and ownership of livestock. Increases in the latter four have negative effects on commercialisation. The negative relationship between land size and... |
| Tipo: Journal Article |
Palavras-chave: Market participation; Household commercialisation; Logistic regression; Transaction costs. |
| Ano: 2008 |
URL: http://purl.umn.edu/47656 |
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| Freese, Jeremy. |
| This article presents a method and program for identifying poorly fitting observations for maximum-likelihood regression models for categorical dependent variables. After estimating a model, the program least likely will list the observations that have the lowest predicted probabilities of observing the value of the outcome category that was actually observed. For example, when run after estimating a binary logistic regression model, least likely will list the observations with a positive outcome that had the lowest predicted probabilities of a positive outcome and the observations with a negative outcome that had the lowest predicted probabilities of a negative outcome. These can be considered the observations in which the outcome is most surprising given... |
| Tipo: Journal Article |
Palavras-chave: Outliers; Predicted probabilities; Categorical dependent variables; Logistic regression; Research Methods/ Statistical Methods. |
| Ano: 2002 |
URL: http://purl.umn.edu/116014 |
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| Registros recuperados: 30 | |
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