Xuewen Yu's webpage
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Publications: *[1]---Structural Breaks;  *[2]---Large VARs;  *[3]---(Dynamic) Panel Data Models;  *[4]---Model Averaging.             

​1. Bootstrap Procedures for Detecting Multiple Persistence Shifts in Heteroskedastic Time Series,    *[1]
with Mohitosh Kejriwal and Pierre Perron, 2020, Journal of Time Series Analysis, 41, 676-690.          
​
Working paper version               ​Relication files, Matlab code 
2. Generalised Forecast Averaging in Autoregressions with a Near Unit Root,    *[1], [4]
with Mohitosh Kejriwal, 2021, The Econometrics Journal, 24, 83-102.                              
​
Working paper version                Replication files, Matlab code

---Awarded 2021 Denis Sargan Econometrics Prize. [
Link]
3. A Two Step Procedure for Testing Partial Parameter Stability in Cointegrated Regression Models,    *[1]
with Mohitosh Kejriwal and Pierre Perron, 2022, Journal of Time Series Analysis, 43, 219-237.
​
Working paper version                Replication files, Matlab code
Working Papers: 
​

4. Indirect Inference Estimation of Dynamic Panel Data Models,    *[3]
with Yong Bao, revisions submitted to Journal of Econometrics.
(draft available upon request)
 
5. Inference in Mildly Explosive Autoregressions under Unconditional Heteroskedasticity,    *[1]
with Mohitosh Kejriwal, Job Market Paper, revisions requested by Econometric Theory.
Working paper version                Replication files, Matlab code    
6. Fast and Accurate Variational Inference for Large Bayesian VARs with Stochastic Volatility,    *[2]
with Joshua Chan, revisions requested by Journal of Economic Dynamics and Control.
Working paper version                Replication files, Matlab code  ​
7. Large Order-Invariant Bayesian VARs with Stochastic Volatility,    *[2]
​with Joshua Chan and Gary Koop, October 2021, under review. 
Working paper version                Replication files, Matlab code  
8. Bayesian VARs with Factor Stochastic Volatility: Identification, Order Invariance and Model Comparison,    *[2]
with Joshua Chan and Eric Eisenstat, 2022, draft available upon request.
9. Multistep Forecast Averaging with Stochastic and Deterministic Trends,    *[1], [4]
with Mohitosh Kejriwal and Linh Nguyen, 2022.
Working paper version ​
Work in Progress: 

10. Testing for Multiple Bubbles under Nonstationary Volatility, with Mohitosh Kejriwal and Pierre Perron.​    *[1]
11. Complete Subset Averaging Methods for Program Evaluation by Panel Data Approach, with Xinyu Zhang.    *[3], [4]
12. ​A Test of Test Horizon in Convergence Studies, with Yong Bao.    *[3]
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