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607 * Thu, 8/7/2014, 8:30 AM - 10:20 AM CC-156B
New Models for Spatial and Demographic Longitudinal Data — Contributed Papers
Business and Economic Statistics Section
Chair(s): Jose Faias, Catolica Lisbon SBE   
8:35 AM Quantifying Causal Effects for Continuous Treatments via a Mixed Model Generalized Propensity Score Estimator Daniel Graham, Imperial College London ; David Stephens, McGill University ; Emma McCoy, Imperial College London
8:50 AM Groupwise Semiparametric Modeling: An LVME Approach Song Song, University of Alabama ; Lixing Zhu, Hong Kong Baptist University
9:05 AM Bias Reduction in Nonlinear and Dynamic Panels in the Presence of Cross-Section Dependence, with a GARCH Panel Application Cavit Pakel, Bilkent University
9:20 AM Spatial Aggregation of STAR(1,1) Models Andrew Gehman ; William W.S. Wei, Temple University
9:35 AM Spatio-Temporal Modeling and Spatial Clustering of Curves: A Bayesian Approach Applied to Portuguese Regional Fertility Rates Arnab Bhattacharjee, Heriot-Watt University ; Tapabrata Maiti, Michigan State University ; Eduardo Castro, Aveiro University ; Zhen Zhang, Michigan State University
9:50 AM A Common-Correlated Effects Approach to Testing Slope Homogeneity in Cointegrated Panels Mohitosh Kejriwal, Purdue University
10:05 AM Maximum Likelihood Estimation for Stochastic Differential Equations Using Sequential Kriging-Based Optimization Grant Schneider



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