Optimizing Robust Conditional Moment Tests: An Estimating Function Approach

作者: Yi-Ting Chen , Chung-Ming Kuan

DOI: 10.1007/978-1-4614-1653-1_3

关键词:

摘要: Robust conditional moment (RCM) tests for partial specifications are derived without a full specification assumption. Yet, researchers usually claim the optimality of these RCM by reinterpreting them as score under certain specifications. This argument is in fact incompatible with rationale tests. In this study, we consider generalized test based on estimating function (EF) approach and explore semi-parametric criterion that does not require Specifically, derive upper bound noncentrality parameter propose method to optimize so achieve bound. The optimized associated optimal EF method, it useful improving asymptotic local power existing proposed thus permits pursue sacrificing robustness testing We illustrate our using various demonstrate improved property simulations.

参考文章(83)
Sung Y. Park, Anil K. Bera, Maximum entropy autoregressive conditional heteroskedasticity model Journal of Econometrics. ,vol. 150, pp. 219- 230 ,(2009) , 10.1016/J.JECONOM.2008.12.014
Robert F Engle, Simone Manganelli, CAViaR: Conditional Autoregressive Value at Risk by Regression Quantiles * Journal of Business & Economic Statistics. ,vol. 22, pp. 367- 381 ,(2004) , 10.1198/073500104000000370
Yi-Ting Chen, A unified approach to standardized-residuals-based correlation tests for GARCH-type models Journal of Applied Econometrics. ,vol. 23, pp. 111- 133 ,(2008) , 10.1002/JAE.985
James G. MacKinnon, Russell Davidson, Heteroskedasticity-Robust Tests in Regression Directions Research Papers in Economics. ,(1985)
J. M. Hammersley, Ulf Grenander, Probability and Statistics: The Harald Cramér Volume Journal of the Royal Statistical Society: Series A (General). ,vol. 123, pp. 339- 339 ,(1960) , 10.2307/2342476
George G. Judge, Ron C. Mittelhammer, Douglas J. Miller, Econometric foundations ,(2000)