Results 41 to 50 of about 13,855,951 (296)
Behavioral Coping With Food Price Inflation: Patterns Among U.S. Households
Applied Economic Perspectives and Policy, EarlyView.ABSTRACT Recent food price inflation has placed substantial pressure on household budgets, food security, and mental well‐being. Using Household Pulse Survey data, we combine k‐modes clustering and Double Machine Learning to identify distinct household coping groups and examine differences in how households respond to rising food prices across groups ...
Yuxiang Zhang, Yizao Liu
wiley +1 more source
Target Matrix Estimators in Risk-Based Portfolios
Risks, 2018 Portfolio weights solely based on risk avoid estimation errors from the sample mean, but they are still affected from the misspecification in the sample covariance matrix.
Marco Neffelli
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How Competitive Is Myanmar's Rice Sector? A Comparison of Production Costs and Efficiency
Agribusiness, EarlyView.ABSTRACT This paper analyzes the cost competitiveness of rice production in Myanmar by examining production costs, cost efficiency, and the potential effect of improving cost efficiency on the country's global competitiveness. To achieve this, we conduct a comparative analysis of production costs among major rice‐producing countries and estimate the ...
Nandar Aye Chan +3 more
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Agribusiness, EarlyView.ABSTRACT The origin of a product, if associated with good quality, can contribute to building a positive collective reputation, leading to a potential price premium. However, it is conceivable that a producer markets a product by evoking symbols, images, words, and values typical of places other than where it was designed or produced, creating a ...
Annalisa Caloffi +2 more
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On the consequences of model misspecification in logistic regression. [PDF]
Environmental Health Perspectives, 1990 Logistic regression models are commonly used to study the association between a binary response variable and an exposure variable. Besides the exposure of interest, other covariates are frequently included in the fitted model in order to control for their effects on outcome.
M D, Begg, S, Lagakos
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Exploring the Impact of Meat Alternative Labeling Regulations on the U.S. Meat Consumption Patterns
Agribusiness, EarlyView.ABSTRACT The global demand for conventional meat continues to rise, but it is also associated with substantial environmental and health challenges. In response, meat alternatives have gained popularity, sparking debates over meat alternative labeling regulations. This study investigates the effects of meat alternative labeling regulations in the United
Jeong Hun Ji, Sang Hyeon Lee
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CPT: Pharmacometrics & Systems PharmacologyWe address the problem of model misspecification in population pharmacokinetics (PopPK), by modeling residual unexplained variability (RUV) by machine learning (ML) methods in a postprocessing step after conventional model building. The practical purpose
Christos Kaikousidis +2 more
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Misspecification in dynamic models
, 1990 Within the class of ARMAX models we consider the effects that omitted explanatory processes have on the dynamic shape and the exogeneity properties of economic relations. We show that, under suitable assumptions, a well defined "misspecified" ARMAX model exists and is unique.
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Agribusiness, EarlyView.ABSTRACT In the agricultural landscape of most developing countries, the last decade has witnessed the expansion of outsourced agricultural extension services. Private firms and nongovernmental organizations focused on delivering agricultural extension and advisory services to farmers have emerged.
Boris D. Soh Wenda +3 more
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System Misspecification Testing and Structural Change in the Demand for Meats
Journal of Agricultural and Resource Economics, 1995 A misspecification testing strategy designed to ensure that the statistical assumptions underlying a system of equations are appropriate is outlined. The system tests take into account information in, and interactions between, all equations in the system
Anya M. McGuirk +3 more
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