| Bounding Program Benefits When Participation Is Misreported D Tommasi, L Zhang Journal of Econometrics 238 (1), 2024 | 17* | 2024 |
| Weak Identification in Discrete Choice Models DT Frazier, E Renault, L Zhang, X Zhao Journal of Econometrics, 2024 | 10 | 2024 |
| Spillovers of Program Benefits with Missing Network Links L Zhang arXiv preprint arXiv:2009.09614, 2020 | 10* | 2020 |
| Identifying program benefits when participation is misreported D Tommasi, L Zhang Journal of Applied Econometrics 39 (6), 2024 | 3 | 2024 |
| Policy Relevant Treatment Effects with Multidimensional Unobserved Heterogeneity T Ura, L Zhang arXiv preprint arXiv:2403.13738, 2024 | 1 | 2024 |
| 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 |
| Partial Identification of Distributional Treatment Effects in Panel Data using Copula Equality Assumptions H Madigasekara, DS Poskitt, L Zhang, X Zhao Available at SSRN 5005675, 2024 | | 2024 |
| Bounding program benefits when participation is misreported: Estimation and inference with Stata A Lin, D Tommasi, L Zhang The Stata Journal 24 (2), 185-212, 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 |
| 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 |
Denni TommasiUniversity of BolognaDirección de correo verificada de unibo.it
