Doing SFA with Python: Adapting New Estimators to a High-Performance Computing Environment
(with Yu Ma and Zheng Wei; GitHub), R&R, in Handbook on Research Methods and Applications in Productivity and Efficiency, Daraio, Cinzia (Ed.), 2026, Edward Edgar
Multiscale Bernstein Copula with Bayesian Model Averaging
(with Martin Burda, GitHub) in Computational Data and Social Networks, Ha, Minh Hoang; Zhu, Xingquan; Thai, My T. (Eds.), 2025, Springer, ISBN 978-981-97-0668-6
DS-HECK: Double-Lasso Estimation of Heckman Selection Model
(with Di Liu, Masayuki Hirukawa and Irina Murtazashvili, GitHub Stata Command) in Advances in Applied Econometrics: Celebrating Peter Schmidt's Legacy, Kumbhakar, Subal C.; Sickles, R.; Wang, Hung-Jen (Eds.), 2024, Springer, ISBN 978-3-031-48384-4 [reprint of Empirical Economics paper]
Estimating Asymmetric Dynamic Distributions in High Dimensions
(with Stanislav Anatolyev and Renat Khabibullin), in Asymmetric Dependence in Finance: Diversification, Correlation and Portfolio Management in Market Downturns, Alcock, Jamie; Satchell, Stephen (Eds.), 2018, Wiley, ISBN 978-1-119-28901-2
Bartlett-type Correction of Distance Metric Test
(with Wanling Huang), in Econometric Methods and Applications: Festschrift in Honor of Peter Schmidt, Sickles, Robin; Horrace, William (Eds.), 2014, Springer, ISBN 978-1-4899-8007-6
Aging and Elder Abuse: Projections for Michigan
(with Lori Post, Sarah Swierenga, James Oehmke, Charles Salmon, Emily Meyer, Vivek Joshi) in Applied Demography in the 21st century, Murdock, Steve H.; Swanson, David (Eds.), 2008, Springer, ISBN 978-1-4020-8328-0