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Directional Spatial Dependence and Its Implications for Modeling Systemic Yield Risk AgEcon
Zhu, Ying; Ghosh, Sujit K.; Goodwin, Barry K..
The objective of this study is to evaluate and model the spatial dependence of systemic yield risk. Various spatial autoregressive models are explored to account for county level dependence of crop yields. The results show that the time trend parameters of yields are correlated across spaces and the spatial correlations are changing with time. In addition, the spatial correlation of neighborhood in west/east direction is stronger than that of north/south direction. The information of the spatial dependence of yield risk will help the construction of better risk management programs for protecting producers from systemic yield risks.
Tipo: Conference Paper or Presentation Palavras-chave: Spatial Autoregressive Model; Spatial Dependence; Risk and Uncertainty.
Ano: 2009 URL: http://purl.umn.edu/49455
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Juvenile Delinquency and Conformism AgEcon
Patacchini, Eleonora; Zenou, Yves.
This paper studies whether conformism behavior affects individual outcomes in crime. We present a social network model of peer effects with ex-ante heterogeneous agents and show how conformism and deterrence affect criminal activities. We then bring the model to the data by using a very detailed dataset of adolescent friendship networks. A novel social network-based empirical strategy allows us to identify peer effects for different types of crimes. We find that conformity plays an important role for all crimes, especially for petty crimes. This suggests that, for juvenile crime, an effective policy should not only be measured by the possible crime reduction it implies but also by the group interactions it engenders.
Tipo: Working or Discussion Paper Palavras-chave: Social Networks; Linear-in-means Model; Spatial Autoregressive Model; Social Norms; Labor and Human Capital; A14; C21; D85; K42; Z13.
Ano: 2010 URL: http://purl.umn.edu/90945
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