We show that when the true data generating process of a large class of binary choice models contains conditional heteroscedasticity, predictions based on the misspecified MLE in which conditional heteroscedasticity is ignored, are unaffected by the misspecification. (C) 2016 Elsevier B.V. All rights reserved.
机构:
Shanghai Univ Finance & Econ, Sch Stat & Management, Shanghai, Peoples R ChinaShanghai Univ Finance & Econ, Sch Stat & Management, Shanghai, Peoples R China
Zhu, Qianqian
Tan, Songhua
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Shanghai Univ Finance & Econ, Sch Stat & Management, Shanghai, Peoples R ChinaShanghai Univ Finance & Econ, Sch Stat & Management, Shanghai, Peoples R China
Tan, Songhua
Zheng, Yao
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Univ Connecticut, Dept Stat, Storrs, CT USAShanghai Univ Finance & Econ, Sch Stat & Management, Shanghai, Peoples R China
Zheng, Yao
Li, Guodong
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Univ Hong Kong, Dept Stat & Actuarial Sci, Pokfulam Rd, Hong Kong, Peoples R ChinaShanghai Univ Finance & Econ, Sch Stat & Management, Shanghai, Peoples R China
机构:
Jeonbuk Natl Univ, Dept Stat, Jeonju, South Korea
Jeonbuk Natl Univ, Res Inst Appl Stat, Jeonju, South KoreaJeonbuk Natl Univ, Dept Stat, Jeonju, South Korea
Lee, Youngmi
Kim, Sungdon
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Gyeongsang Natl Univ, Dept Informat & Stat, Jinju, South KoreaJeonbuk Natl Univ, Dept Stat, Jeonju, South Korea
Kim, Sungdon
Oh, Haejune
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Gyeongsang Natl Univ, Dept Informat & Stat, Jinju, South KoreaJeonbuk Natl Univ, Dept Stat, Jeonju, South Korea
机构:
Univ Chicago, Harris Sch Publ Policy, 1155 E 60th St, Chicago, IL 60637 USA
NBER, Cambridge, MA 02138 USAUniv Chicago, Harris Sch Publ Policy, 1155 E 60th St, Chicago, IL 60637 USA
Meyer, Bruce D.
Mittag, Nikolas
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CERGE EI, Politickych Veznu 7, Prague 11121 1, Czech RepublicUniv Chicago, Harris Sch Publ Policy, 1155 E 60th St, Chicago, IL 60637 USA