Additive nonparametric models with time variable and both stationary and nonstationary regressions
Citations
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Cited by:
- Cheng, Tingting & Dong, Chaohua & Gao, Jiti & Linton, Oliver, 2024.
"GMM estimation for high-dimensional panel data models,"
Journal of Econometrics, Elsevier, vol. 244(1).
- Cheng, T. & Dong, C. & Gao, J. & Linton, O., 2022. "GMM Estimation for High-Dimensional Panel Data Models," Cambridge Working Papers in Economics 2245, Faculty of Economics, University of Cambridge.
- Tingting Cheng & Chaohua Dong & Jiti Gao & Oliver Linton, 2022. "GMM Estimation for High-Dimensional Panel Data Models," Monash Econometrics and Business Statistics Working Papers 11/22, Monash University, Department of Econometrics and Business Statistics.
- Pourkhanali, Armin & Tafakori, Laleh & Bee, Marco, 2023. "Forecasting Value-at-Risk using functional volatility incorporating an exogenous effect," International Review of Financial Analysis, Elsevier, vol. 89(C).
- Ruiqi Liu & Ben Boukai & Zuofeng Shang, 2019. "Statistical Inference on Partially Linear Panel Model under Unobserved Linearity," Papers 1911.08830, arXiv.org.
- Peng, Bin & Su, Liangjun & Westerlund, Joakim & Yang, Yanrong, 2025.
"Interactive Effects Panel Data Models With General Factors And Regressors,"
Econometric Theory, Cambridge University Press, vol. 41(2), pages 472-488, April.
- Bin Peng & Liangjun Su & Joakim Westerlund & Yanrong Yang, 2021. "Interactive Effects Panel Data Models with General Factors and Regressors," Monash Econometrics and Business Statistics Working Papers 23/21, Monash University, Department of Econometrics and Business Statistics.
- Bin Ping & Liangju Su & Yanrong Yang & Joakim Westerlund, 2023. "Interactive-effects panel-data models with general factors and regressors," French Stata Users' Group Meetings 2023 14, Stata Users Group.
- Bin Peng & Liangjun Su & Joakim Westerlund & Yanrong Yang, 2021. "Interactive Effects Panel Data Models with General Factors and Regressors," Papers 2111.11506, arXiv.org.
- Fei Liu & Jiti Gao & Yanrong Yang, 2019. "Nonparametric Estimation in Panel Data Models with Heterogeneity and Time Varyingness," Monash Econometrics and Business Statistics Working Papers 24/19, Monash University, Department of Econometrics and Business Statistics.
- Lu, Yin & Tao, Chunbai & Wang, Di & Uddin, Gazi Salah & Wu, Libo & Zhu, Xuening, 2025. "Robust estimation for dynamic spatial autoregression models with nearly optimal rates," Journal of Econometrics, Elsevier, vol. 251(C).
- Peng, Zhen & Dong, Chaohua, 2022. "Augmented cointegrating linear models with possibly strongly correlated stationary and nonstationary regressors," Finance Research Letters, Elsevier, vol. 47(PB).
- Lin, Yingqian & Tu, Yundong & Yao, Qiwei, 2020. "Estimation for double-nonlinear cointegration," LSE Research Online Documents on Economics 103830, London School of Economics and Political Science, LSE Library.
- Guohua Feng & Jiti Gao & Bin Peng, 2019. "An Integrated Panel Data Approach to Modelling Economic Growth," Monash Econometrics and Business Statistics Working Papers 6/19, Monash University, Department of Econometrics and Business Statistics.
- Qiying Wang & Peter C. B. Phillips, 2022.
"A General Limit Theory for Nonlinear Functionals of Nonstationary Time Series,"
Cowles Foundation Discussion Papers
2337, Cowles Foundation for Research in Economics, Yale University.
- Qiying Wang & Peter C. B. Phillips, 2024. "A General Limit Theory for Nonlinear Functionals of Nonstationary Time Series," Cowles Foundation Discussion Papers 2337R1, Cowles Foundation for Research in Economics, Yale University.
- Dong, Chaohua & Chen, Rong & Xiao, Zhijie & Liu, Weiyi, 2024. "Functional quantile autoregression," Journal of Econometrics, Elsevier, vol. 244(2).
- Chaohua Dong & Jiti Gao & Bin Peng, 2018. "Varying-coefficient panel data models with partially observed factor structure," Monash Econometrics and Business Statistics Working Papers 1/18, Monash University, Department of Econometrics and Business Statistics.
- Chaohua Dong & Jiti Gao & Bin Peng & Yayi Yan, 2023.
"Estimation and Inference for a Class of Generalized Hierarchical Models,"
Papers
2311.02789, arXiv.org, revised Apr 2024.
- Chaohua Dong & Jiti Gao & Bin Peng & Yayi Yan, 2024. "Estimation and Inference for a Class of Generalized Hierarchical Models," Monash Econometrics and Business Statistics Working Papers 7/24, Monash University, Department of Econometrics and Business Statistics.
- Ayman Mnasri & Zouhair Mrabet & Mouyad Alsamara, 2023. "A new quadratic asymmetric error correction model: does size matter?," Empirical Economics, Springer, vol. 65(1), pages 33-64, July.
- Dong, Chaohua & Gao, Jiti & Linton, Oliver, 2023.
"High dimensional semiparametric moment restriction models,"
Journal of Econometrics, Elsevier, vol. 232(2), pages 320-345.
- Chaohua Dong & Jiti Gao & Oliver Linton, 2017. "High dimensional semiparametric moment restriction models," Monash Econometrics and Business Statistics Working Papers 17/17, Monash University, Department of Econometrics and Business Statistics.
- Chaohua Dong & Jiti Gao & Oliver Linton, 2018. "High dimensional semiparametric moment restriction models," CeMMAP working papers CWP69/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Chaohua Dong & Jiti Gao & Oliver Linton, 2018. "High dimensional semiparametric moment restriction models," CeMMAP working papers CWP04/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Chaohua Dong & Jiti Gao & Oliver Linton, 2018. "High dimensional semiparametric moment restriction models," Monash Econometrics and Business Statistics Working Papers 23/18, Monash University, Department of Econometrics and Business Statistics.
- Dong, C. & Gao, J. & Linton, O., 2018. "High Dimensional Semiparametric Moment Restriction Models," Cambridge Working Papers in Economics 1881, Faculty of Economics, University of Cambridge.
- Cheng, T. & Gao, J. & Linton, O., 2019.
"Nonparametric Predictive Regressions for Stock Return Prediction,"
Cambridge Working Papers in Economics
1932, Faculty of Economics, University of Cambridge.
- Tingting Cheng & Jiti Gao & Oliver Linton, 2019. "Nonparametric Predictive Regressions for Stock Return Prediction," Monash Econometrics and Business Statistics Working Papers 4/19, Monash University, Department of Econometrics and Business Statistics.
- Lin, Yingqian & Tu, Yundong, 2024. "Functional coefficient cointegration models with Box–Cox transformation," Economics Letters, Elsevier, vol. 234(C).
- Zhang, Huiming & Qian, Siji & Ma, Zhen, 2024. "An analysis of the market efficiency of the Chinese copper futures based on intertemporal and intermarket arbitrages," International Review of Financial Analysis, Elsevier, vol. 94(C).
- Chaohua Dong & Jiti Gao & Yundong Tu & Bin Peng, 2023.
"Robust M-Estimation for Additive Single-Index Cointegrating Time Series Models,"
Papers
2301.06631, arXiv.org.
- Chaohua Dong & Jiti Gao & Bin Peng & Yundong Tu, 2023. "Robust M-Estimation for Additive Single-Index Cointegrating Time Series Models," Monash Econometrics and Business Statistics Working Papers 2/23, Monash University, Department of Econometrics and Business Statistics.
- Tu, Yundong & Wang, Ying, 2022. "Spurious functional-coefficient regression models and robust inference with marginal integration," Journal of Econometrics, Elsevier, vol. 229(2), pages 396-421.
- Li, Haiqi & Zhang, Jing & Zheng, Chaowen, 2025. "Functional-coefficient quantile cointegrating regression with stationary covariates," Statistics & Probability Letters, Elsevier, vol. 219(C).
- Feng, Guohua & Gao, Jiti & Peng, Bin, 2022.
"An integrated panel data approach to modelling economic growth,"
Journal of Econometrics, Elsevier, vol. 228(2), pages 379-397.
- Guohua Feng & Jiti Gao & Bin Peng, 2019. "An Integrated Panel Data Approach to Modelling Economic Growth," Papers 1903.07948, arXiv.org.
- Feng, Guohua & Peng, Bin & Su, Liangjun & Yang, Thomas Tao, 2019. "Semi-parametric single-index panel data models with interactive fixed effects: Theory and practice," Journal of Econometrics, Elsevier, vol. 212(2), pages 607-622.
- Chaohua Dong & Jiti Gao & Bin Peng & Yundong Tu, 2021. "Multiple-index Nonstationary Time Series Models: Robust Estimation Theory and Practice," Papers 2111.02023, arXiv.org.
- Batten, Jonathan A. & Mo, Di & Pourkhanali, Armin, 2024. "Can inflation predict energy price volatility?," Energy Economics, Elsevier, vol. 129(C).
- Lin, Yingqian & Tu, Yundong & Yao, Qiwei, 2020. "Estimation for double-nonlinear cointegration," Journal of Econometrics, Elsevier, vol. 216(1), pages 175-191.
- Dong, Chaohua & Linton, Oliver & Peng, Bin, 2021. "A weighted sieve estimator for nonparametric time series models with nonstationary variables," Journal of Econometrics, Elsevier, vol. 222(2), pages 909-932.
- Tu, Yundong & Liang, Han-Ying & Wang, Qiying, 2022. "Nonparametric inference for quantile cointegrations with stationary covariates," Journal of Econometrics, Elsevier, vol. 230(2), pages 453-482.
- Chaohua Dong & Jiti Gao & Bin Peng & Yayi Yan, 2023. "Estimation of Semiparametric Multi-Index Models Using Deep Neural Networks," Monash Econometrics and Business Statistics Working Papers 21/23, Monash University, Department of Econometrics and Business Statistics.
- Chaohua Dong & Jiti Gao & Bin Peng & Yundong Tu, 2021. "Multiple-index Nonstationary Time Series Models: Robust Estimation Theory and Practice," Monash Econometrics and Business Statistics Working Papers 18/21, Monash University, Department of Econometrics and Business Statistics.
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