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	Provedor de dados AgEcon (8) Autor Baum, Christopher F. (2) Schaffer, Mark E. (2) Stillman, Steven (2) Bernstein, Jason (1) Blackwell, J. Lloyd, III (1) Chen, Kim Heng (1) Fotopoulos, Stergios B. (1) Jandhyala, Venkata K. (1) Marangon, Francesco (1) Misra, Sukant K. (1) Nelson, Jeannie (1) Ramirez, Octavio A. (1) Regmi, Anita (1) Scarpa, Riccardo (1) Seale, James L., Jr. (1) Thiene, Mara (1) Variyam, Jayachandran N. (1) Mais... Palavra-chave Heteroskedasticity (8) Research Methods/ Statistical Methods (5) Endogeneity (2) Food Consumption/Nutrition/Food Safety (2) Instrumental variables (2) Overidentifying restrictions (2) Autocorrelation (1) Autocorrelation. (1) C15 (1) C25 (1) C31 (1) C44 (1) CUE (1) Choice modelling (1) Clustering (1) Complete demand system (1) Consumption (1) Contemporaneous correlation (1) Crop Production/Industries (1) Cross-country demand (1) Mais... Tipo do documento Journal Article (3) Conference Paper or Presentation (2) Article (1) Report (1) Working or Discussion Paper (1) Ano 2007 (1) 2006 (1) 2005 (2) 2003 (2) 2002 (2) País United States (8) Idioma Inglês (8)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 8 Primeira ... 1 ... Última Consumer's WTP for Environment-Friendly Production Methods and Collective Reputation for Place of Origin: The Case of Val di Gresta's Carrots AgEcon Scarpa, Riccardo; Thiene, Mara; Marangon, Francesco. This paper investigates preferences for various environment-friendly production system for carrots using discretechoice multi-attribute stated-preference data amongst buyers and explore the effect of collective reputations from growers of an Alpine valley known to be completely dedicated to organic production. Results show that buyers distinctly recognize only organic production as a production system different from the conventional one, and there is some evidence of recognition of collective reputation. As well as for marginal utility of income, substantial unobserved heterogeneity is found for many skin imperfections, origin from the organic Alpine valley and the organic production methods. The implied sample distributions of WTP for each of these random... Tipo: Conference Paper or Presentation Palavras-chave: Choice modelling; Mixed logit; Organic products; Marginal utility of income; Unobserved taste heterogeneity; Status-quo bias; Heteroskedasticity; Crop Production/Industries; Environmental Economics and Policy; C15; C25; Q13; Q18. Ano: 2006 URL: http://purl.umn.edu/25637 Instrumental variables and GMM: Estimation and testing AgEcon Baum, Christopher F.; Schaffer, Mark E.; Stillman, Steven. We discuss instrumental variables (IV) estimation in the broader context of the generalized method of moments (GMM), and describe an extended IV estimation routine that provides GMM estimates as well as additional diagnostic tests. Stand-alone test procedures for heteroskedasticity, overidentification, and endogeneity in the IV context are also described. Tipo: Journal Article Palavras-chave: Instrumental variables; Generalized method of moments; Endogeneity; Heteroskedasticity; Overidentifying restrictions; Clustering; Intra-group correlation; Research Methods/ Statistical Methods. Ano: 2002 URL: http://purl.umn.edu/116029 INTERNATIONAL EVIDENCE ON FOOD CONSUMPTION PATTERNS AgEcon Seale, James L., Jr.; Regmi, Anita; Bernstein, Jason. The analysis presented here suggests that low-, middle-, and high-income countries all respond differently to changes in income and food prices and, furthermore that low-income countries are more responsive than high-income countries to such changes. These conclusions are based on a two-stage, cross-country demand system fit to the 1996 International Comparison Project (ICP) data for nine broad categories and eight food sub-categories of goods across 114 countries. The broad consumption groups include: food, beverage, and tobacco; clothing and footwear; education; gross rent, fuel, and power; house furnishings and operations; medical care; recreation; transport and communications; and other items. The food sub-groups include bread and cereals, meat, fish,... Tipo: Report Palavras-chave: Consumption; Cross-country demand; Complete demand system; Food demand; Elasticity; Heteroskedasticity; Maximum likelihood; Food Consumption/Nutrition/Food Safety. Ano: 2003 URL: http://purl.umn.edu/33580 Enhanced routines for instrumental variables/generalized method of moments estimation and testing AgEcon Baum, Christopher F.; Schaffer, Mark E.; Stillman, Steven. We extend our 2003 paper on instrumental variables and generalized method of moments estimation, and we test and describe enhanced routines that address heteroskedasticity- and autocorrelation-consistent standard errors, weak instruments, limited-information maximum likelihood and k-class estimation, tests for endogeneity and Ramsey’s regression specification-error test, and autocorrelation tests for instrumental variable estimates and panel-data instrumental variable estimates. Tipo: Article Palavras-chave: Ivactest; Ivendog; Ivhettest; Ivreg2; Ivreset; Overid; Ranktest; Instrumental variables; Weak instruments; GMM; Endogeneity; Heteroskedasticity; Serial correlation; HAC standard errors; LIML; CUE; Overidentifying restrictions; Frisch–Waugh–Lovell theorem; RESET; Cumby–Huizinga test; Research Methods/ Statistical Methods. Ano: 2007 URL: http://purl.umn.edu/119291 ESTIMATION OF EFFICIENT REGRESSION MODELS FOR APPLIED AGRICULTURAL ECONOMICS RESEARCH AgEcon Ramirez, Octavio A.; Misra, Sukant K.; Nelson, Jeannie. This paper proposes and explores the use of a partially adaptive estimation technique to improve the reliability of the inferences made from multiple regression models when the dependent variable is not normally distributed. The relevance of this technique for agricultural economics research is evaluated through Monte Carlo simulation and two mainstream applications: A time-series analysis of agricultural commodity prices and an empirical model of the West Texas cotton basis. It is concluded that, given non-normality, this technique can substantially reduce the magnitude of the standard errors of the slope parameter estimators in relation to OLS, GLS and other least squares based estimation procedures, in practice, allowing for more precise inferences... Tipo: Conference Paper or Presentation Palavras-chave: Efficient regression models; Partially adaptive estimation; Non-normality; Skewness; Heteroskedasticity; Autocorrelation.; Research Methods/ Statistical Methods. Ano: 2002 URL: http://purl.umn.edu/19904 Nonlinear Properties of Multifactor Financial Models AgEcon Chen, Kim Heng; Jandhyala, Venkata K.; Fotopoulos, Stergios B.. This paper provides a comprehensive analysis of the nonlinear properties of multifactor pricing models. Beginning with the generalized geometric Brownian motion, we develop a method whereby the log returns of a set of d-assets or portfolios admit a scale mixture model. This is followed by an analytical study on the conditional behavior of a subset of assets given another subset. Expressions for the first two conditional moments are provided under the scale mixture family. The regression equation when the scaling variable is constant (unity) corresponds with the renowned APT. Computable conditional moment expressions for the scaling variable are derived under both inverse gamma and gamma distributions. These moment equations are nonlinear in parameters,... Tipo: Journal Article Palavras-chave: Generalized Geometric Brownian Motion; Heteroskedasticity; Scale Mixture of Normal Distributions; Research Methods/ Statistical Methods; C31; C44; G12. Ano: 2005 URL: http://purl.umn.edu/49157 Estimation and testing of fixed-effect panel-data systems AgEcon Blackwell, J. Lloyd, III. This paper describes how to specify, estimate, and test multiple-equation, fixed-effect, panel-data equations in Stata. By specifying the system of equations as seemingly unrelated regressions, Stata panel-data procedures worked seamlessly for estimation and testing of individual variable coefficients, but additional routines using test were needed for testing of individual equations and differences between equations. Tipo: Journal Article Palavras-chave: Panel data; Fixed effect; Multiple equations; Seemingly unrelated regressions; Heteroskedasticity; Autocorrelation; Contemporaneous correlation; Tests of linear combinations; Research Methods/ Statistical Methods. Ano: 2005 URL: http://purl.umn.edu/117512 Factors Affecting the Macronutrient Intake of U.S. Adults AgEcon Variyam, Jayachandran N.. The purpose of this study is to better characterize factors associated with the likelihood of macronutrient excess or inadequacy among U.S adults by modeling parts of the conditional distribution of dietary intakes other than the conditional mean. The risk of dietary inadequacy or excess faced by an individual tends to increase as his or her intake moves from the mean of a nutrient intake distribution toward its tails. Therefore, marginal effects of explanatory variables estimated at the conditional mean using ordinary least squares may be of limited value in characterizing these distributions. Quantile regression is effective in this situation since it can estimate conditional functions at any part of the distribution. Quantile regressions based on data... Tipo: Working or Discussion Paper Palavras-chave: Diet quality; Health risk; Heteroskedasticity; Nutrition; Quantile regression; Food Consumption/Nutrition/Food Safety. Ano: 2003 URL: http://purl.umn.edu/33572 Registros recuperados: 8 Primeira ... 1 ... Última

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