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	Provedor de dados AgEcon (6) Scientia Agricola (1) Autor Gao, Xiaoming (2) Patterson, Paul M. (2) Richards, Timothy J. (2) Barbosa,Emanuel Pimentel (1) Brosig, Stephan (1) Burggraf, Christine (1) Dynia,José Flávio (1) Glauben, Thomas (1) Gomes,Daniel Takata (1) Herzfeld, Thomas (1) Johnson, James D. (1) McBride, William D. (1) Newson, Roger (1) Rabe-Hesketh, Sophia (1) Reichardt,Klaus (1) Souza,Manoel Dornelas de (1) Timm,Luís Carlos (1) Zheng, Xiaohui (1) Mais... Palavra-chave Latent variables (7) Commodity promotion (2) DYMIMIC (2) Demand system (2) Fresh fruit (2) Kalman filter (2) LA/AIDS (2) Marketing (2) Research Methods/ Statistical Methods (2) Adaptive quadrature (1) Agricultural and Food Policy (1) C40 (1) Cash-grain farms (1) Consumer/Household Economics (1) Crop Production/Industries (1) D21 (1) Demand and Price Analysis (1) Factor analysis (1) Farm Management (1) Farm management (1) Mais... Tipo do documento Journal Article (3) Article (1) Conference Paper or Presentation (1) Info:eu-repo/semantics/article (1) Working or Discussion Paper (1) Ano 2010 (1) 2007 (1) 2006 (2) 2005 (1) 1999 (1) 1998 (1) Mais... País United States (6) Brazil (1) Idioma Inglês (7)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 7 Primeira ... 1 ... Última Review of Generalized Latent Variable Modeling by Skrondal and Rabe-Hesketh AgEcon Newson, Roger. This article reviews Generalized Latent Variable Modeling: Multilevel, Longitudinal, and Structural Equation Models by Skrondal and Rabe-Hesketh. Tipo: Journal Article Palavras-chave: GLLAMM; Generalized linear latent and mixed models; Latent variables; Research Methods/ Statistical Methods. Ano: 2005 URL: http://purl.umn.edu/117504 Observable and unobservable determinants of a healthy diet in Russia: A structural equation approach AgEcon Burggraf, Christine; Glauben, Thomas; Herzfeld, Thomas; Brosig, Stephan. The Russian Federation is facing crucial dietary problems which burden the health care sector to an increasing degree. In order to correct this trend explanations for the observed mostly unhealthy diets are needed. Therefore the main target of this study was to find evidence about the main determinants of a healthy diet in the Russian Federation based on household production theory. In order to do that a healthy eating index for the Russian population was calculated according to the Diet Quality Index-International and used to describe the nutrition quality of the Russian diet. In a next step an empirical model was developed. In this model sociodemographic/socioeconomic variables were extended by the psychological variables such as overall dissatisfaction,... Tipo: Conference Paper or Presentation Palavras-chave: Nutrition; Russian Federation; Latent variables; Structural equation analysis; Obesity; Agricultural and Food Policy; Consumer/Household Economics; Demand and Price Analysis; Food Consumption/Nutrition/Food Safety; Food Security and Poverty; Health Economics and Policy; I120; R200. Ano: 2010 URL: http://purl.umn.edu/116447 Estimating parameters of dichotomous and ordinal item response models with gllamm AgEcon Zheng, Xiaohui; Rabe-Hesketh, Sophia. Item response theory models are measurement models for categorical responses. Traditionally, the models are used in educational testing, where responses to test items can be viewed as indirect measures of latent ability. The test items are scored either dichotomously (correct–incorrect) or by using an ordinal scale (a grade from poor to excellent). Item response models also apply equally for measurement of other latent traits. Here we describe the one- and two-parameter logit models for dichotomous items, the partial-credit and rating scale models for ordinal items, and an extension of these models where the latent variable is regressed on explanatory variables. We show how these models can be expressed as generalized linear latent and mixed models and... Tipo: Article Palavras-chave: Gllamm; Gllapred; Latent variables; Rasch model; Partial-credit model; Rating scale model; Latent regression; Generalized linear latent and mixed model; Adaptive quadrature; Item response theory; Research Methods/ Statistical Methods. Ano: 2007 URL: http://purl.umn.edu/119279 Defining and Characterizing Approaches to Farm Management AgEcon McBride, William D.; Johnson, James D.. Exploratory factor analysis was used to identify approaches to farm management based on a list of management questions posed to a sample of U.S. cash-grain farmers. Three approaches were identified by the factor analysis: price negotiation, long-term cost control, and input adjustment. Estimated factor scores regressed against farm and operator characteristics indicate a profile of producers using each approach that is closely related to stage-of-life of the farm operator and farm business. In addition to operator age and planning horizon, operator risk preference and farm organization and location were other important determinants of the approach to management. Tipo: Journal Article Palavras-chave: Cash-grain farms; Factor analysis; Farm management; Latent variables; Management approach; Crop Production/Industries; Farm Management; Labor and Human Capital; Q12; Q10; D21; C40. Ano: 2006 URL: http://purl.umn.edu/43755 ADVERTISING AND RETAIL PROMOTION OF WASHINGTON APPLES: A STRUCTURAL LATENT VARIABLE APPROACH TO PROMOTION EVALUATION AgEcon Richards, Timothy J.; Gao, Xiaoming; Patterson, Paul M.. "Commodity promotion" consists of many activities, each designed to contribute to a consumer's product knowledge or influence tastes. However, both knowledge and tastes are unobservable, or latent, variables influencing demand. This paper specifies a dynamic structural model of fresh fruit demand that treats promotion and other socioeconomic variables as "causal" variables influencing these latent variables. Estimating this state-space model using a Kalman filter approach provides estimates of both the system parameters and a latent variable series. The results show that these latent effects contribute positively to apple and other fruit consumption, while reducing banana consumption. Tipo: Journal Article Palavras-chave: Commodity promotion; Demand system; DYMIMIC; Fresh fruit; Kalman filter; LA/AIDS; Latent variables; Marketing. Ano: 1999 URL: http://purl.umn.edu/15132 Advertising and Retail Promotion of Washington Apples: A Structural Latent Variable Approach to Promotion Evaluation AgEcon Richards, Timothy J.; Gao, Xiaoming; Patterson, Paul M.. "Commodity promotion" consists of many activities, each designed to contribute to a consumer's product knowledge or influence tastes. However, both knowledge and tastes are unobservable, or latent, variables influencing demand. This paper specifies a dynamic structural model of fresh fruit demand that treats promotion and other socioeconomic variables as "causal" variables influencing these latent variables. Estimating this state-space model using a Kalman filter approach provides estimates of both the system parameters and a latent variable series. The results show that these latent effects contribute positively to apple and other fruit consumption, while reducing banana consumption. Tipo: Working or Discussion Paper Palavras-chave: Commodity promotion; Demand system; DYMIMIC; Fresh fruit; Kalman filter; LA/AIDS; Latent variables; Marketing. Ano: 1998 URL: http://purl.umn.edu/28547 Neural network and state-space models for studying relationships among soil properties Scientia Agricola Timm,Luís Carlos; Gomes,Daniel Takata; Barbosa,Emanuel Pimentel; Reichardt,Klaus; Souza,Manoel Dornelas de; Dynia,José Flávio. The study of soil property relationships is of great importance in agronomy aiming for a rational management of environmental resources and an improvement of agricultural productivity. Studies of this kind are traditionally performed using static regression models, which do not take into account the involved spatial structure. This work has the objective of evaluating the relation between a time-consuming and "expensive" variable (like soil total nitrogen) and other simple, easier to measure variables (as for instance, soil organic carbon, pH, etc.). Two important classes of models (linear state-space and neural networks) are used for prediction and compared with standard uni- and multivariate regression models, used as reference. For an oat crop... Tipo: Info:eu-repo/semantics/article Palavras-chave: Soil attributes; Prediction models; Spatial transect; Latent variables. Ano: 2006 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162006000400010 Registros recuperados: 7 Primeira ... 1 ... Última

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