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	Provedor de dados AgEcon (3) Autor De Groote, Hugo (1) Grado, Stephen C. (1) Hussain, Anwar (1) Jones, W. Daryl (1) Kanampiu, Fred (1) Khan, Zeyaur R. (1) Munn, Ian A. (1) Odhiambo, George D. (1) Rutto, Esther (1) Vanlauwe, Bernard (1) West, Ben (1) Williams, Richard A. (1) Mais... Palavra-chave Ordinal regression (3) C25 (1) Complementary log-log link (1) Crop Production/Industries (1) Farmers' preference (1) Generalized ordered logit model (1) Gologit (1) Gologit2 (1) Land Economics/Use (1) Landowner information needs (1) Logistic regression (1) Odds ratio (1) Outreach program budget (1) Parallel-lines model (1) Partial proportional odds (1) Proportional odds (1) Q16 (1) Q23 (1) Q26 (1) Research Methods/ Statistical Methods (1) Mais... Tipo do documento Journal Article (2) Conference Paper or Presentation (1) Ano 2007 (1) 2006 (2) País United States (3) Idioma Inglês (3)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 3 Primeira ... 1 ... Última Generalized ordered logit/partial proportional odds models for ordinal dependent variables AgEcon 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 Participatory Evaluation of Integrated Pest and Soil Fertility Management Options Using Ordered Categorical Data Analysis AgEcon Rutto, Esther; De Groote, Hugo; Vanlauwe, Bernard; Kanampiu, Fred; Odhiambo, George D.; Khan, Zeyaur R.. During participatory rural appraisals, farmers at the Lake Victoria basin of Kenya and Uganda identified Striga, stemborer and declining soil fertility as three major constraints to maize production To reduce food insecurity, several innovative integrated technologies to address these constraints have been developed, including push-pull (maize intercropped with Desmodium and surrounded by napier grass), maize-soybean and maize-crotalaria rotations, and Imazapyrresistant (IR) maize seed coated with the herbicide. To let farmers evaluate the new technologies, 12 demonstration trials, comparing the different technologies, were established in four villages in Siaya and Vihiga districts (Western Kenya) and two villages in Busia (Uganda). These evaluations,... Tipo: Conference Paper or Presentation Palavras-chave: Farmers' preference; Technologies; Ordinal regression; Crop Production/Industries. Ano: 2006 URL: http://purl.umn.edu/25317 Analyzing Landowner Demand for Wildlife and Forest Management Information AgEcon Munn, Ian A.; Hussain, Anwar; West, Ben; Grado, Stephen C.; Jones, W. Daryl. Determining appropriate topics and target audiences is essential to design effective educational outreach programs. Based on landowner responses to a mail survey, we determined both the importance and the availability of wildlife and forest management information topics to Mississippi landowners. Combining this information clearly identified the appropriate subject matter for outreach programs-topics important to landowners and for which information was relatively unavailable. The importance of wildlife and forest management information relative to its availability depended on the region, land use patterns, and landowner characteristics, thus demonstrating which segments of the population should be targeted to maximize program impact. Tipo: Journal Article Palavras-chave: Complementary log-log link; Landowner information needs; Odds ratio; Ordinal regression; Outreach program budget; Land Economics/Use; Resource /Energy Economics and Policy; C25; Q16; Q23; Q26. Ano: 2007 URL: http://purl.umn.edu/6059 Registros recuperados: 3 Primeira ... 1 ... Última

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