Rate My Professor Yanli Lin

Yanli Lin's research specializations are econometrics and applied econometrics, focusing on spatial dynamic panel data models with endogeneity issues, spatial autoregressive models for origin-destination flows, copula joint estimation, residual-adjusted estimators for SARAR models, network interactions with heteroskedasticity, and disease transmission linked to economic activity. Her key publications include "Copula joint estimation for spatial dynamic panel data models with endogeneity issues" with Yichun Song (Econometric Reviews, 2026); "Addressing endogeneity issues in a spatial autoregressive model using copulas" with Yichun Song (Journal of Econometrics, 2025); "An efficient residual-adjusted two-step estimator for a SARAR model" with Lung-Fei Lee and Yang Yang (Econometric Reviews, 2025); and "Estimation of spatial autoregressive models for origin–destination flows: A partial likelihood approach" with Hanbat Jeong and Lung-Fei Lee (Economics Letters, 2023). She has secured the UWA Business School Research Grant Awards (2024, co-investigator with Simon Chang, Rigissa Megalokonomou, and Tushar Bharati), UWA Business School Start-up Grant (2024), and Optimization-Conscious Econometrics Summer School Travel Grant from the University of Chicago (2024). Lin serves as Seminar Organizer for the UWA Department of Economics since January 2025 and is accepting PhD and Higher Degree by Research students.