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On using linear quantile regressions for causal inference
Kato, Ryutah; Sasaki, Yuya - In: Econometric theory 33 (2017) 3, pp. 664-690
Persistent link: https://www.econbiz.de/10011810181
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Asymptotic inference for ar models with heavy-tailed g-Garch noises
Zhang, Rongmao; Ling, Shiqing - In: Econometric theory 31 (2015) 4, pp. 880-890
Persistent link: https://www.econbiz.de/10011341924
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Estimation and inference for varying-coefficient models with nonstationary regressors using penalized splines
Chen, Haiqiang; Fang, Ying; Li, Yingxing - In: Econometric theory 31 (2015) 4, pp. 753-777
Persistent link: https://www.econbiz.de/10011341928
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Nonparametric two-step sieve m estimation and inference
Hahn, Jinyong; Liao, Zhipeng; Ridder, Geert - In: Econometric theory 34 (2018) 6, pp. 1281-1324
Persistent link: https://www.econbiz.de/10012038065
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A simple nonparametric approach for estimation and inference of conditional quantile functions
Fang, Zheng; Li, Qi; Yan, Karen Xueqing - In: Econometric theory 39 (2023) 2, pp. 290-320
Persistent link: https://www.econbiz.de/10014306312
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A flexible nonparametric test for conditional independence
Huang, Meng; Sun, Yixiao; White, Halbert - In: Econometric theory 32 (2016) 6, pp. 1434-1482
Persistent link: https://www.econbiz.de/10011661982
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Posterior consistency in conditional density estimation by covariate dependent mixtures
Norets, Andriy; Pelenis, Justinas - In: Econometric theory 30 (2014) 3, pp. 606-646
Persistent link: https://www.econbiz.de/10010500885
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A smooth nonparametric conditional density test for categorical responses
Li, Cong; Racine, Jeffrey - In: Econometric theory 29 (2013) 3, pp. 629-641
Persistent link: https://www.econbiz.de/10009778500
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Inference on a semiparametric model with global power law and local nonparametric trends
Gao, Jiti; Linton, Oliver; Peng, Bin - In: Econometric theory 36 (2020) 2, pp. 223-249
Persistent link: https://www.econbiz.de/10012193746
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Nonparametric density estimation by B-spline duality
Cui, Zhenyu; Kirkby, Justin Lars; Nguyen, Duy - In: Econometric theory 36 (2020) 2, pp. 250-291
Persistent link: https://www.econbiz.de/10012193747