no code implementations • 28 May 2023 • Jiti Gao, Bin Peng, Yayi Yan
This paper considers a time-varying vector error-correction model that allows for different time series behaviours (e. g., unit-root and locally stationary processes) to interact with each other to co-exist.
no code implementations • 1 Jun 2022 • Jiti Gao, Bin Peng, Wei Biao Wu, Yayi Yan
In this paper, we consider a wide class of time-varying multivariate causal processes which nests many classic and new examples as special cases.
no code implementations • 1 May 2022 • Jiti Gao, Bin Peng, Yayi Yan
In this paper, we propose a simple inferential method for a wide class of panel data models with a focus on such cases that have both serial correlation and cross-sectional dependence.
no code implementations • 31 Oct 2021 • Yayi Yan, Jiti Gao, Bin Peng
Vector autoregressive (VAR) models are widely used in practical studies, e. g., forecasting, modelling policy transmission mechanism, and measuring connection of economic agents.
no code implementations • 6 Dec 2020 • Jiti Gao, Fei Liu, Bin Peng, Yayi Yan
In this paper, we investigate binary response models for heterogeneous panel data with interactive fixed effects by allowing both the cross-sectional dimension and the temporal dimension to diverge.