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Strategic Pricing Behavior under Asset Value Maximization AgEcon
Wang, Shinn-Shyr; Stiegert, Kyle W.; Dhar, Tirtha Pratim.
This paper investigates a comprehensive assessment of firm strategic behavior under financial market uncertainty. A general theoretical model of market value maximization (MVM) is constructed using a traditional capital asset pricing format. The model built on the nonlinear Almost Ideal Demand Systems (AIDS) and structural first-order conditions is developed. By full information maximum likelihood (FIML) estimation, the model evaluates pricing strategies in the U.S. margarine and butter retail markets using 4-week interval scanner data from 1998 to 2002. The model of profit maximization is rejected in favor of the MVM structure, and it indicates that financial market uncertainty plays an important role in the pricing behavior in this industry. We estimate...
Tipo: Conference Paper or Presentation Palavras-chave: Market Value Maximization; AIDS; FIML; Model Selection; Risk and Uncertainty.
Ano: 2005 URL: http://purl.umn.edu/19198
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Forecasting the Path of China's CO2 Emissions: Offsetting Kyoto - and Then Some AgEcon
Auffhammer, Maximilian; Carson, Richard T..
Our results suggest that the anticipated path of China's Carbon Dioxide (CO2) emissions has dramatically increased over the last five years. The magnitude of the projected increase in Chinese emissions out to 2015 is several times larger than reductions embodied in the Kyoto Protocol. Our estimates are based on a unique provincial level panel data set from the Chinese Environmental Protection Agency. This dataset contains considerably more information relevant to the path of likely Chinese greenhouse gas emissions than national level time series models currently in use. Model selection criteria clearly reject the popular static environmental Kuznets curve specification in favor of a class of dynamic models with spatial dependence.
Tipo: Working or Discussion Paper Palavras-chave: Forecasting; Climate Change; China; Model Selection; Environmental Economics and Policy; Q43; C53.
Ano: 2006 URL: http://purl.umn.edu/7197
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Description of blackberry fruit growth by nonlinear regression models Rev. Bras. Frutic.
Silva,Édipo Menezes da; Tadeu,Maraísa Hellen; Silva,Victor Ferreira da; Pio,Rafael; Fernandes,Tales Jesus; Muniz,Joel Augusto.
Abstract Blackberry is a small fruit with several properties beneficial to human health and its cultivation is an alternative for small producers due to its fast and high financial return. Studying the growth of fruits over time is extremely important to understand their development, helping in the most appropriate crop management, avoiding post-harvest losses, which is one of the aggravating factors of blackberry cultivation, being a short shelf life fruit. Thus, growth curves are highlighted in this type of study and modeling through statistical models helps understanding how such growth occurs. Data from this study were obtained from an experiment conducted at the Federal University of Lavras in 2015. The aim of this study was to adjust nonlinear,...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Regression analysis; Model Selection; Fit quality; Sigmoid; Small fruits; Fruit development.
Ano: 2020 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-29452020000200701
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