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We propose a Bayesian nonparametric instrumental variable approach that allows us to correct for endogeneity bias in …
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method additionally allows for other forms of cross-sectional heterogeneity. We consider a two-group approach for the model … Dirichlet process (DP) mixture of multivariate normals (other cross-sectional heterogeneity). We develop our approach for … continuous heterogeneity leads to an improved in-sample and out-of-sample performance and interesting insights. These findings …
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In actuarial practice, the modeling of total losses tied to a certain policy is a nontrivial task due to complex distributional features. In the recent literature, the application of the Dirichlet process mixture for insurance loss has been proposed to eliminate the risk of model...
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The estimation problem in this paper is motivated by maximum score estimation of preference parameters in the binary choice model under uncertainty in which the decision rule is affected by conditional expectations. The preference parameters are estimated in two stages: we estimate conditional...
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