A General Method for Third-Order Bias and Variance Corrections on a Nonlinear Estimator

Motivated by a recent study of Bao and Ullah (2007a) on finite sample properties of MLE in the pure SAR (spatial autoregressive) model, a general method for third-order bias and variance corrections on a nonlinear estimator is proposed based on stochastic expansion and bootstrap. Working with concen...

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Bibliographic Details
Main Author: YANG, Zhenlin
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2015
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Online Access:https://ink.library.smu.edu.sg/soe_research/1586
https://ink.library.smu.edu.sg/context/soe_research/article/2585/viewcontent/Yang_JOE062014.pdf
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Institution: Singapore Management University
Language: English

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