This Chapter discusses estimation, specification testing, and model selection of predictive density models. In particular, predictive density estimation is briefly discussed. And a variety of different specifications and model evaluation tests due to various authors including Christoffersen and Diebold (2000), Diebold Gunther and Tay (1998), Diebold Hahn and Tay (1999), White (2000), Bai (2003), Corradi and Swanson (2003 and 2004(a),(b),(c)), Hong and Li (2003), and others are reviewed. Extensions of some existing techniques to the case of out-of-sample evaluation are also provided, and asymptotic results associated with these extensions are outlined.
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Paper provided by Rutgers University, Department of Economics in its series Departmental Working Papers with number
200419.
Find related papers by JEL classification: C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
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