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Root-N-consistent semiparametric regression with conditionally heteroskedastic disturbances
Fan, Yanqin - In: Journal of quantitative economics : official journal of … 11 (1995) 1, pp. 229-240
Persistent link: https://www.econbiz.de/10001196284
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Bootstrapping J-type tests for non-nested regression models
Fan, Yanqin - In: Economics letters 48 (1995) 2, pp. 107-112
Persistent link: https://www.econbiz.de/10001190184
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Consistent model specification tests : omitted variables and semiparametric functional forms
Fan, Yanqin - In: Econometrica : journal of the Econometric Society, an … 64 (1996) 4, pp. 865-890
Persistent link: https://www.econbiz.de/10001203919
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Semiparametric estimation of stochastic production frontier models
Fan, Yanqin - In: Journal of business & economic statistics : JBES ; a … 14 (1996) 4, pp. 460-477
Persistent link: https://www.econbiz.de/10001209340
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Consistent model specification tests : Kernel-based tests versus Bierens' ICM tests
Fan, Yanqin; Li, Qi - In: Econometric theory 16 (2000) 6, pp. 1016-1041
Persistent link: https://www.econbiz.de/10001548359
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A consistent nonparametric test for linearity of AR(p) models
Fan, Yanqin - In: Economics letters 55 (1997) 1, pp. 53-59
Persistent link: https://www.econbiz.de/10001225284
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Central limit theorem for degenerate U-statistics of absolutely regular processes with applications to model specification testing
Fan, Yanqin; Li, Qi - 1996
Persistent link: https://www.econbiz.de/10000961590
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Semiparametric estimation of partially linear panel data models
Li, Qi - In: Journal of econometrics 71 (1996) 1, pp. 389-397
Persistent link: https://www.econbiz.de/10001194725
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A Hausman specification test based on root-N-consistent semiparametric estimators
Li, Qi - In: Economics letters 40 (1992) 2, pp. 141-146
Persistent link: https://www.econbiz.de/10001138448
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Adaptive estimation in the panel data error component model with heteroskedasticity of unknown form
Li, Qi - In: International economic review 35 (1994) 4, pp. 981-1000
Persistent link: https://www.econbiz.de/10001172622