| Consumer panic in the COVID-19 pandemic M Keane, T Neal Journal of econometrics 220 (1), 86-105, 2021 | 298 | 2021 |
| Panel cointegration analysis with xtpedroni T Neal The Stata Journal 14 (3), 684-692, 2014 | 157 | 2014 |
| Estimating heterogeneous coefficients in panel data models with endogenous regressors and common factors T Neal Workblacking Paper, 2015 | 84 | 2015 |
| Instrument strength in IV estimation and inference: A guide to theory and practice M Keane, T Neal Journal of Econometrics 235 (2), 1625-1653, 2023 | 82 | 2023 |
| Climate change and US agriculture: Accounting for multidimensional slope heterogeneity in panel data M Keane, T Neal Quantitative Economics 11 (4), 1391-1429, 2020 | 50* | 2020 |
| A practical guide to weak instruments M Keane, T Neal Annual Reviews of Economics 16, 2024 | 47* | 2024 |
| Child work and cognitive development: Results from four low to middle income countries M Keane, S Krutikova, T Neal Quantitative Economics 13 (2), 425-465, 2022 | 37* | 2022 |
| Using panel co‐integration methods to understand rising top income shares T Neal Economic Record 89 (284), 83-98, 2013 | 37 | 2013 |
| Evaluating consumers’ choices of Medicare Part D plans: A study in behavioral welfare economics M Keane, J Ketcham, N Kuminoff, T Neal Journal of Econometrics 222 (1), 107-140, 2021 | 24* | 2021 |
| Comparing deep neural network and econometric approaches to predicting the impact of climate change on agricultural yield M Keane, T Neal The Econometrics Journal 23 (3), S59-S80, 2020 | 14 | 2020 |
| Multidimensional Slope Heterogeneity in Panel Data Models T Neal UNSW Business School Research Paper, 2018 | 8* | 2018 |
| The unbiased estimation of heterogeneous coefficients in panel data models with common factors and feedback effects T Neal Retrieved from, 2015 | 8 | 2015 |
| Estimating the effectiveness of forest protection using regression discontinuity T Neal Journal of Environmental Economics and Management 127, 103021, 2024 | 5 | 2024 |
| Robust inference for the Frisch labor supply elasticity M Keane, T Neal | 5* | 2022 |
| The Keane and Runkle estimator for panel-data models with serial correlation and instruments that are not strictly exogenous M Keane, T Neal The Stata Journal 16 (3), 523-549, 2016 | 5 | 2016 |
| The Importance of External Weather Effects in Projecting the Economic Impacts of Climate Change T Neal UNSW Economics Working Paper 2023-09, 2023 | 3 | 2023 |
| XTCCE: Stata module to implement the Common Correlated Effects estimator T Neal Boston College Department of Economics, 2016 | 3 | 2016 |
| Essays on panel data econometrics and the distribution of income T Neal UNSW Sydney, 2016 | 1 | 2016 |
| MIXMIXLOGIT: Stata module to estimate mixed-mixed multinomial logit model T Neal Boston College Department of Economics, 2020 | | 2020 |
Michael KeaneProfessor of Economics, Johns Hopkins, UNSWПідтверджена електронна адреса в unsw.edu.au