SABIIA - Sistema Aberto e Integrado de Informação em Agricultura (Sabiia)

López Gordillo, José Antonio.

Se analizó la diversidad de los animales domésticos presentes y las prácticas de manejo en la región de la Montaña del estado de Guerrero. En el estudio se realizaron 207 entrevistas a productores para registrar información de la familia, la ganadería, los recursos naturales utilizados y las prácticas de manejo. Los datos se analizaron con el paquete estadístico SAS. Se estimaron los estadísticos descriptivos para las variables de las explotaciones y los indicadores de la presencia de los animales domésticos. La función social y productiva de cada especie ganadera se determinó con regresión logística. La población promedio de animales en la explotación estuvo determinada por las aves (18.3), caprinos (14.8), bovinos (12.3), ovinos (9.4), cerdos (6) y...

Palavras-chave: Densidad de ganado; Indice de diversidad; Peso vivo; Regresión logística; Sanidad; Alimentación; Livestock density; Diversity index; Live weight; Logistic regression; Health management; Feeding practices; EDAR; Estrategias para el Desarrollo Agrícola Regional; Maestría Tecnológica; Desarrollo Sostenible de Zonas Indígenas.

Ano: 2010

URL: http://hdl.handle.net/10521/359

Áreas prioritarias para captura de carbono en los municipíos de Chignahuapan-Zacatlán, Puebla.

Uso de los modelos credit scoring en microfinanzas.

Cruz Huerta, Carmina.

Las áreas prioritarias de conservación son una herramienta importante que permiten optimizar el aprovechamiento y conservación de los recursos naturales y forestales. La presente investigación tiene como objetivo definir las áreas prioritarias de conservación de captura de carbono mediante la combinación del riesgo de deforestación y aptitud de captura de carbono con la finalidad de generar estrategias de manejo y conservación. La metodología incluye sistemas de información geográfica y técnicas cuantitativas para determinar las áreas prioritarias de conservación de captura de carbono. La metodología incluyó: (1) Determinación del riesgo futuro de deforestación en dos escalas espaciales; y (2) Identificación de áreas prioritarias de conservación de captura...

Palavras-chave: Escalas espaciales; Riesgo de deforestación; Captura de carbono; Regresión logística; Spatial scales; Risk of deforestation; Carbon sequestration; Logistic regression; Forestal; Maestría.

Ano: 2014

URL: http://hdl.handle.net/10521/2282

Áreas prioritarias mediante escenarios de deforestación y servicios ambientales en la Sierra Norte de Puebla.

Escalona Cortés, Arturo.

En el presente trabajo se presenta un modelo credit scoring en microfinanzas el cual permita calificar los solicitantes de un microcrédito. El modelo propuesto se basa en el modelo de regresión logística. La evaluación del modelo incluye el ajuste medido por la estadística Hosmer-Lemeshow, poder predictivo medido por la R2, poder discriminatorio medido por la curva ROC y área bajo la curva ROC. Además, se determinó un pundo de corte para validar el modelo. La información de clientes durante el período de mayo de 2008 a abril de 2009 de la empresa microfinanciera MásKapital se utilizó como base para desarrollar y calibrar el modelo. Se obtuvo un buen ajuste de este, reflejado en los resultados de validación que, presentan una clasificación total correcta...

Palavras-chave: Riesgo crediticio; Regresión logística; Microcréditos; Sensibilidad; Especificidad; Credit risk; Logistic regression; Microcredit; Sensitivity; Specificity; Maestría; Estadística.

Ano: 2011

URL: http://hdl.handle.net/10521/414

Chávez González, Honoria.

La identificación de áreas prioritarias es una herramienta valiosa que permite orientar y optimizar los esfuerzos de estudio, conservación y aprovechamiento sustentable de recursos forestales. La presente investigación integró una metodología, mediante la combinación de diferentes técnicas cuantitativas en un ambiente de sistemas de información geográfica y sensores remotos, para la identificación de áreas prioritarias de recarga hídrica en la Unidad de Manejo Forestal Zacatlán, Puebla. El estudio se constituyó de tres componentes de investigación: (1) Análisis retrospectivo (1986-2010), actual y perspectivo (2010-2030) de cambios de uso de la tierra y riesgo de deforestación; (2) Identificación de áreas con aptitud para proveer servicios ambientales...

Palavras-chave: Cambio de uso de la tierra; Riesgo de deforestación; Recarga de acuíferos; Evaluación multicriterio; Regresión logística; Land use change; Deforestation risk; Aquifer recharge; Multicriteria evaluation; Logistic regression; Forestal; Maestría.

Ano: 2014

URL: http://hdl.handle.net/10521/2248

Uso de los modelos credit scoring en microfinanzas.

Determinants of Credit Rationing for Corporate Farms in Russia

Escalona Cortés, Arturo.

Ano: 2011

URL: http://hdl.handle.net/10521/414

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...

Graphical representation of interactions

Palavras-chave: Russian agriculture; Transition economics; Farm finance; Credit rationing; Logistic regression; Agricultural Finance; P340; Q140.

Ano: 2005

URL: http://purl.umn.edu/24514

Barthel, Friederike Maria-Sophie; Royston, Patrick.

We provide a program to illustrate interactions between treatment and covariates or between two covariates by using forest plots under either the Cox proportional hazards or the logistic regression model. The program is flexible in both the possibility of illustrating more than one interaction at a time and variable specifications of scale.

Tipo: Journal Article

Palavras-chave: Fintplot; Interaction; Forest plot; Randomized controlled trial; Survival analysis; Logistic regression; Research Methods/ Statistical Methods.

Ano: 2006

URL: http://purl.umn.edu/117585

Limited Access to Conservation: Limited- Resource Farmer Participation in the Conservation Security Program in the Southeast

Bergtold, Jason S.; Molnar, Joseph J..

The paper examines the joint adoption of conservation tillage, crop rotations, and soil testing by small and limited-resource farmers in the Southeast. The objectives are to determine the potential eligibility of small farmers for the Conservation Security Program, examine socioeconomic factors affecting adoption, and assess the interdependence between adopting different conservation practices. Results indicate that conservation management, ethnicity, and farm characteristics affect practice adoption. Of the producers surveyed in the study, 7% meet Conservation Security Program eligibility requirements, while the other 93% have less than a 20% likelihood of adopting the needed practices to qualify.

Tipo: Journal Article

Palavras-chave: Adoption; Conservation; Conservation Security Program; Conservation tillage; Limited-resource farmers; Logistic regression; Small farms; Soil testing; Agribusiness; Agricultural and Food Policy; Community/Rural/Urban Development; Crop Production/Industries; Farm Management; Land Economics/Use; Productivity Analysis; C35; Q12; Q58.

Ano: 2010

URL: http://purl.umn.edu/90670

Analysis of Intended Farmers’ Response to CAP Scenarios: Environmental considerations

Giannoccaro, Giacomo; Berbel, Julio.

This research is a result of the CAP-IRE project which objective is the understanding farmer’s reactions under CAP scenarios by 2020. In particular this research aims to analyze the role of the current CAP design on the farmer’s decision process focusing on several environmental issues. The analysis is based on 2,360 observations of household farmers across 11 cases study in 9 EU countries. Intended responses of farmers to the CAP reforms are analyzed by logistic model regression. According to the results CAP scenarios would influence farmer’s decision on fertilizers and pesticides, as well as water use, while the highest effect is found for decisions on number of animal rearing on the farm. Factors determining reaction to the CAP scenario are monetary and...

Generalized ordered logit/partial proportional odds models for ordinal dependent variables

Palavras-chave: Environmental sustainability; Farmer’s intended behaviour; Logistic regression; Agricultural policy; Agricultural and Food Policy; Environmental Economics and Policy; Q18.

Ano: 2011

URL: http://purl.umn.edu/99419

predict and adjust with logistic regression

Williams, Richard A..

This article describes the gologit2 program for generalized ordered logit models. gologit2 is inspired by Vincent Fu’s gologit routine (Stata Technical Bulletin Reprints 8: 160–164) and is backward compatible with it but offers several additional powerful options. A major strength of gologit2 is that it can fit three special cases of the generalized model: the proportional odds/parallel-lines model, the partial proportional odds model, and the logistic regression model. Hence, gologit2 can fit models that are less restrictive than the parallel-lines models fitted by ologit (whose assumptions are often violated) but more parsimonious and interpretable than those fitted by a nonordinal method, such as multinomial logistic regression (i.e., mlogit). Other key...

Tipo: Journal Article

Palavras-chave: Gologit2; Gologit; Logistic regression; Ordinal regression; Proportional odds; Partial proportional odds; Generalized ordered logit model; Parallel-lines model; Research Methods/ Statistical Methods.

Ano: 2006

URL: http://purl.umn.edu/117557

How can Farmer Managerial Capacity Contribute to Improved Farm Performance? A Study of Dairy Farms in Sweden

Buis, Maarten L..

Within Stata there are two ways of getting average predicted values for different groups after an estimation command: adjust and predict. After OLS regression (regress), these two ways give the same answer. However, after logistic regression, the average predicted probabilities differ. This article discusses where that difference comes from and the consequent subtle difference in interpretation.

Tipo: Article

Palavras-chave: Adjust; Predict; Logistic regression; Research Methods/ Statistical Methods.

Ano: 2007

URL: http://purl.umn.edu/119270

Johansson, Helena.

This paper investigates how managerial capacity aspects influence efficiency of dairy farms in Sweden. Based on non-parametric methods, Tobit and logistic regressions, several managerial capacity aspects are found to influence long and short run input efficiency scores, but to influence output efficiency less. Examples of important aspects are: internal locus of control, positive profitability attitude, profitability perception and participation in study circles. Based on this, a way of supporting dairy farms to become more profitable is to organize educational and discussion clubs where the farmers learn from each other and form professional dairy farm advisors.

Review of Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models by Vittinghoff, Glidden, Shiboski, and McCulloch

Palavras-chave: Dairy farms; Data envelopment analysis; Decision-making; Efficiency; Logistic regression; Managerial capacity; Tobit Regression; Farm Management; Productivity Analysis.

Ano: 2007

URL: http://purl.umn.edu/9874

Lemeshow, Stanley; Moeschberger, Melvin L..

This article reviews Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models by Vittinghoff et al.

Tipo: Journal Article

Palavras-chave: Linear regression; Logistic regression; Survival analysis; Repeated measures; Generalized linear models; Complex surveys; Research Methods/ Statistical Methods.

Ano: 2005

URL: http://purl.umn.edu/117518

Bernoulli Regression Models: Re-examining Statistical Models with Binary Dependent Variables

Bergtold, Jason S.; Spanos, Aris.

The classical approach for specifying statistical models with binary dependent variables in econometrics using latent variables or threshold models can leave the model misspecified, resulting in biased and inconsistent estimates as well as erroneous inferences. Furthermore, methods for trying to alleviate such problems, such as univariate generalized linear models, have not provided an adequate alternative for ensuring the statistical adequacy of such models. The purpose of this paper is to re-examine the underlying probabilistic foundations of statistical models with binary dependent variables using the probabilistic reduction approach to provide an alternative approach for model specification. This re-examination leads to the development of the Bernoulli...

IMPACT OF ALTERNATIVE GRID PRICING STRUCTURES ON CATTLE MARKETING DECISIONS

Palavras-chave: Bernoulli Regression Model; Logistic regression; Generalized linear models; Discrete choice; Probabilistic reduction approach; Model specification; Research Methods/ Statistical Methods.

Ano: 2005

URL: http://purl.umn.edu/19282

Greer, Heather C.; Trapp, James N..

Quality grade, yield grade, and other feedlot performance factors explain much of the variation in profit under grid pricing. Thus, feedlot owners can change profits by adjusting time on feed to influence these performance factors. This research uses growth models, logistic regression, and an optimization process to determine how the optimal number of days on feed changes under different grid pricing structures. It was found that large quality or small yield discounts increases the optimal number of days on feed and small quality or large yield discounts result in fewer days on feed. Losses associated with a grid having large quality discounts are minimized as cattle fed for more days are able to obtain Choice premiums despite the discounts for more Yield...

The Determinants of Rural Household Food Security in the Punjab, Pakistan: An Econometric Analysis

Palavras-chave: Grid pricing; Profits; Animal growth; Logistic regression; Days on feed; Livestock Production/Industries; Marketing.

Ano: 2000

URL: http://purl.umn.edu/18926

Bashir, Muhammad Khalid; Schilizzi, Steven; Pandit, Ram.

Pakistan is one of the leading producers of important agricultural commodities in the world with a relatively high proportion of undernourished population (26 %). This study aims to examine the food security trends in Pakistan in general, and to find out the household level food security and its key determinants in the rural areas of the Punjab Province in particular. Both secondary and primary data were used. Secondary data were obtained from Food and Agriculture Organization (FAO), World Bank and Government of Pakistan’s data sources. Primary data were collected from 1152 households in 12 districts of the Punjab province using questionnaire survey. The analysis was done in two phases i.e. (Phase-A) identification of food security trends, at national...

Tipo: Working Paper

Palavras-chave: Food security; Rural households; Logistic regression; Punjab; Pakistan; Agricultural and Food Policy; Community/Rural/Urban Development; Consumer/Household Economics; Food Consumption/Nutrition/Food Safety; Food Security and Poverty; I30; Q18 and R20..

Ano: 2012

URL: http://purl.umn.edu/122526

Choosing an appropriate real-life measure of effect size: the case of a continuous predictor and a binary outcome

Consumer behaviour in the Hungarian beer market

Conroy, Ronan M..

A case study of data on age and pregnancy is used to point up some morals for practicing data analysts, including the superiority of regression over t tests, exploratory scatterplot smoothing as a key method of checking form of relationship, and the value of logistic regression followed by adjust as a way of getting at the numbers of most interest.

Tipo: Journal Article

Palavras-chave: Adjust; Correlation; Logistic regression; Regression; Scatterplot smoothing; T tests; Research Methods/ Statistical Methods.

Ano: 2002

URL: http://purl.umn.edu/116011