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| Registros recuperados: 33 | |
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| Thorat, V.A.; Dhekale, J.S.; Patil, H.K.; Tilekar, S.N.. |
| The study has identified the factors responsible for rural-urban migration based on 120 sample respondents each of migrants and non-migrants spread over two districts, viz. Ratnagiri and Sindhudurg of Konkan region of Maharashtra by employing the logit model. The study has highlighted the importance of rural development programs like MGNREGA that are being implemented by the government with a view to provide employment and income to the rural population in the country. It has also shown that for both migrant and non-migrant households,, agriculture was the major source of income, and their consumption expenditure was more than the production expenditure. It has also been observed that migration has a positive impact on income, expenditure and net savings... |
| Tipo: Article |
Palavras-chave: Migration; Logit; Variable inflation factor; Odds ratio; Agricultural and Food Policy; J11; J61; C13; R23. |
| Ano: 2011 |
URL: http://purl.umn.edu/119399 |
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| Hoag, Dana L.; Ascough, James C.; Frasier, W. Marshall. |
| Computers change rapidly, yet the last survey on computer use in agriculture was in 1991. We surveyed Great Plains producers in 1995 and used logit analysis to characterize adopters and non-adopters. About 37% of these producers use computers which is consistent with the general population. We confirmed previous surveys emphasizing the importance of education, age/experience, and other farm characteristics on adoption. However, we also found that education and experience may no longer be a significant influence. Future research and education could focus on when and where computers are most needed, and therefore when adoption is most appropriate. |
| Tipo: Journal Article |
Palavras-chave: Adoption; Agriculture; Computers; Farmers; Great Plains; Logit; Farm Management. |
| Ano: 1999 |
URL: http://purl.umn.edu/15144 |
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| Fairlie, Robert W.. |
| The Blinder-Oaxaca decomposition technique is widely used to identify and quantify the separate contributions of group differences in measurable characteristics, such as education, experience, marital status, and geographical differences to racial and gender gaps in outcomes. The technique cannot be used directly, however, if the outcome is binary and the coefficients are from a logit or probit model. I describe a relatively simple method of performing a decomposition that uses estimates from a logit or probit model. Expanding on the original application of the technique in Fairlie (1999), I provide a more thorough discussion of how to apply the technique, an analysis of the sensitivity of the decomposition estimates to different parameters, and the... |
| Tipo: Working or Discussion Paper |
Palavras-chave: Logit; Probit; Decomposition; Race; Gender; Discrimination; Research Methods/ Statistical Methods; C8; J7. |
| Ano: 2003 |
URL: http://purl.umn.edu/28425 |
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| Jordaan, Henry; Grove, Bennie. |
| Logistic regression is employed to analyse the factors which influence the decision of whether or not the respondent used forward pricing methods during the 2004/05 maize production season. Forward pricing methods include cash forward contracting and hedging with futures contracts and/or options, through the South African Futures Exchange (SAFEX). Based on the results, the use of forward pricing is associated with lower levels of risk aversion and higher levels of human capital. Factor analysis is employed to reduce the dimensionality of the personal reasons which help to interpret the underlying, common factor of the personal reasons why farmers are reluctant to use forward pricing methods. Three factors were extracted and were labelled “Lack of... |
| Tipo: Journal Article |
Palavras-chave: Forward pricing; Logit; Factor analysis; Agricultural Finance; Risk and Uncertainty. |
| Ano: 2007 |
URL: http://purl.umn.edu/7049 |
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| Archer, Kellie J.; Lemeshow, Stanley. |
| After a logistic regression model has been fitted, a global test of goodness of fit of the resulting model should be performed. A test that is commonly used to assess model fit is the Hosmer–Lemeshow test, which is available in Stata and most other statistical software programs. However, it is often of interest to fit a logistic regression model to sample survey data, such as data from the National Health Interview Survey or the National Health and Nutrition Examination Survey. Unfortunately, for such situations no goodness-of-fit testing procedures have been developed or implemented in available software. To address this problem, a Stata ado-command, svylogitgof, for estimating the F-adjusted mean residual test after svy: logit or svy: logistic estimation... |
| Tipo: Journal Article |
Palavras-chave: Svylogitgof; Goodness of fit; Survey design; Svy; Logistic regression; Logit; Research Methods/ Statistical Methods. |
| Ano: 2006 |
URL: http://purl.umn.edu/117559 |
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| Banterle, Alessandro; Stanieri, S.. |
| Within the framework of European food safety measures, Reg. 1760/2000 and 1825/2000 have introduced mandatory traceability and relevant labeling into the beef sector. The paper analyses whether information on meat labels can be considered a useful instrument for consumers, facilitating the verification of quality. The purpose of the paper is, first, to evaluate if meat information is used during food purchase. Second, focusing on specific meat information, we assess the interest of consumer for some mandatory and voluntary information cues and identify the determinants affecting the use of them. Data were collected by a survey conducted in the Lombardy, region of the northern Italy, and employed a telephone questionnaire. The sample is composed by 1,025... |
| Tipo: Conference Paper or Presentation |
Palavras-chave: Traceability; Meat; Consumer preferences; Logit; Demand and Price Analysis. |
| Ano: 2008 |
URL: http://purl.umn.edu/43547 |
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| Hailpern, Susan M.; Visintainer, Paul F.. |
| Logistic regression is perhaps the most widely used method for adjustment of confounding in epidemiologic studies. Its popularity is understandable. The method can simultaneously adjust for confounders measured on different scales; it provides estimates that are clinically interpretable; and its estimates are valid in a variety of study designs with few underlying assumptions. To those of us in practice settings, several aspects of applying and interpreting the model, however, can be confusing and counterintuitive. We attempt to clarify some of these points through several examples. We apply the method to a study of risk factors associated with periventricular leucomalacia and intraventricular hemorrhage in neonates. We relate the logit model to... |
| Tipo: Journal Article |
Palavras-chave: Cc; Cci; Cs; Csi; Logistic; Logit; Relative risk; Case–control study; Odds ratio; Cohort study; Research Methods/ Statistical Methods. |
| Ano: 2003 |
URL: http://purl.umn.edu/116084 |
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| Registros recuperados: 33 | |
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