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Information Theoretic Estimators of the First-Order Spatial Autoregressive Model AgEcon
Perevodchikov, Evgeniy V..
Information theoretic estimators for the first-order autoregressive model are considered. Extensive Monte Carlo experiments are used to compare finite sample performance of traditional and three information theoretic estimators including maximum empirical likelihood, maximum empirical exponential likelihood, and maximum log Euclidean likelihood. It is found that information theoretic estimators are robust to specification of spatial autocorrelation and dominate traditional estimators in finite samples. Finally, the proposed estimators are applied to an illustrative example of hedonic housing pricing.
Tipo: Working or Discussion Paper Palavras-chave: Information theoretic estimators; The first-order spatial autoregressive model; Research Methods/ Statistical Methods.
Ano: 2009 URL: http://purl.umn.edu/49491
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Domestic and Trade Impacts of Foot and Mouth Disease and BSE on the Australian Beef Industry AgEcon
Tozer, Peter R.; Marsh, Thomas L.; Perevodchikov, Evgeniy V..
Although Australia is the sixth largest producer of beef, with production of 2 million metric tonnes, behind regions such as the USA, Brazil and the EU it is the second largest exporter of beef behind Brazil. Average beef exports from Australia are approximately 65% of the total amount of beef produced or about 1.3 million metric tonnes. For these reasons Australia is particularly vulnerable to diseases that are not endemic to the country and could close or disrupt its export markets for beef. In this study we construct a bioeconomic optimization model of the Australian beef industry that captures production and consumption decisions, domestically and internationally, and the impacts on the beef industry of two potentially catastrophic diseases, foot and...
Tipo: Conference Paper or Presentation
Ano: 2010 URL: http://purl.umn.edu/59169
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