Bounding Program Benefits When Participation Is Misreported D Tommasi, L Zhang Journal of Econometrics 238 (1), 2024 | 13* | 2024 |
Weak Identification in Discrete Choice Models DT Frazier, E Renault, L Zhang, X Zhao arXiv preprint arXiv:2011.06753, 2020 | 8 | 2020 |
Spillovers of Program Benefits with Missing Network Links L Zhang arXiv preprint arXiv:2009.09614, 2020 | 8* | 2020 |
Identifying Program Benefits When Participation Is Misreported D Tommasi, L Zhang IZA Discussion Paper, 2022 | 2 | 2022 |
Decomposing Identification Gains and Evaluating Instrument Identification Power for Partially Identified Average Treatment Effects L Zhang, DT Frazier, DS Poskitt, X Zhao arXiv preprint arXiv:2009.02642, 2020 | 1 | 2020 |
Significance test in nonstationary multinomial logit model CSJ Chu, N Liu, L Zhang Economics Letters 143, 94-98, 2016 | 1 | 2016 |
Policy Relevant Treatment Effects with Multidimensional Unobserved Heterogeneity T Ura, L Zhang arXiv preprint arXiv:2403.13738, 2024 | | 2024 |
IVREG2M: Stata module to identify treatment-effects estimates with potentially misreported and endogenous program participation C Baum, D Tommasi, L Zhang Boston College Department of Economics, 2022 | | 2022 |
IVBOUNDS: Stata module providing instrumental variable method to bound treatment-effects estimates with potentially misreported and endogenous program participation A Lin, D Tommasi, L Zhang Boston College Department of Economics, 2021 | | 2021 |
Significance test in nonstationary logit panel model with serially correlated dependent variable CSJ Chu, N Liu, L Zhang Economics Letters 159, 37-41, 2017 | | 2017 |