| ‘Effortless Perfection:’Do Chinese cities manipulate air pollution data? D Ghanem, J Zhang Journal of Environmental Economics and Management 68 (2), 203-225, 2014 | 688 | 2014 |
| Identifying the economic impacts of climate change on agriculture C Carter, X Cui, D Ghanem, P Mérel Annual Review of Resource Economics 10 (1), 361-380, 2018 | 173 | 2018 |
| Testing attrition bias in field experiments D Ghanem, S Hirshleifer, K Ortiz-Becerra Journal of Human resources, 2023 | 100 | 2023 |
| Selection and parallel trends D Ghanem, PHC Sant'Anna, K Wüthrich arXiv preprint arXiv:2203.09001, 2022 | 75 | 2022 |
| A censored maximum likelihood approach to quantifying manipulation in China’s air pollution data D Ghanem, S Shen, J Zhang Journal of the Association of Environmental and Resource Economists 7 (5 …, 2020 | 55 | 2020 |
| Stage-specific, nonlinear surface ozone damage to rice production in China CA Carter, X Cui, A Ding, D Ghanem, F Jiang, F Yi, F Zhong Scientific reports 7 (1), 44224, 2017 | 55 | 2017 |
| What are the benefits of high-frequency data for fixed effects panel models? D Ghanem, A Smith Journal of the Association of Environmental and Resource Economists 8 (2 …, 2021 | 32 | 2021 |
| On model selection criteria for climate change impact studies X Cui, B Gafarov, D Ghanem, T Kuffner Journal of Econometrics 239 (1), 105511, 2024 | 22* | 2024 |
| Testing Identifying Assumptions in Nonseparable Panel Data Models DA Ghanem Journal of Econometrics, 2016 | 22* | 2016 |
| Forecasting conditional probabilities of binary outcomes under misspecification G Elliott, D Ghanem, F Krüger Review of Economics and Statistics 98 (4), 742-755, 2016 | 21 | 2016 |
| Causality in structural vector autoregressions: Science or sorcery? D Ghanem, A Smith American Journal of Agricultural Economics 104 (3), 881-904, 2022 | 20 | 2022 |
| Correcting attrition bias using changes-in-changes D Ghanem, S Hirshleifer, D Kédagni, K Ortiz-Becerra Journal of Econometrics 241 (2), 105737, 2024 | 12 | 2024 |
| Evaluating the impact of regulatory policies on social welfare in difference-in-difference settings D Ghanem, D Kédagni, I Mourifié arXiv preprint arXiv:2306.04494, 2023 | 10 | 2023 |
| Quantifying Threshold Manipulation in the Presence of Rounding: The Case of Lead Monitoring in US Drinking Water T Andarge, D Ghanem, DA Keiser, GE Lade American Economic Review: Insights 7 (3), 285-305, 2025 | 2 | 2025 |
| Comment on Suri (2011)“Selection and Comparative Advantage in Technology Adoption” E Tjernström, D Ghanem, O Barriga-Cabanillas, TJ Lybbert, A Michuda, ... Working paper, 2024 | 1 | 2024 |
| ATTCIC: Stata module to implement the attrition corrections from Ghanem et al.(2024b) and comparator approaches K Ortiz-Becerra, D Ghanem, S Hirshleifer, D Kédagni Boston College Department of Economics, 2025 | | 2025 |
| ATTREGTEST: Stata module to implement the regression-based attrition tests proposed in Ghanem et al.(2024) D Ghanem, S Hirshleifer, K Ortiz-Becerra Boston College Department of Economics, 2025 | | 2025 |
| A James-Stein-type adjustment to bias correction in fixed effects panel models D Ghanem Econometric Reviews 41 (6), 633-651, 2022 | | 2022 |
| Replication Data for: A Censored Maximum Likelihood Approach to Quantifying Manipulation in China's Air Pollution Data D Ghanem, S Shen, J Zhang Harvard Dataverse dataset, 121, 2020 | | 2020 |
| Discussion: Models as Approximations D Ghanem, TA Kuffner | | 2019 |
Junjie ZhangProfessor, Duke University and Duke Kunshan UniversityVerified email at duke.edu
