| Inference for Roc Curves Based on Estimated Predictive Indices R Lieli, YC Hsu Available at SSRN 4870136, 2024 | | 2024 |
| Forecasting with Feedback RP Lieli, A Nieto-Barthaburu arXiv preprint arXiv:2308.15062, 2023 | 1 | 2023 |
| Treatment Effect Analysis for Pairs with Endogenous Treatment Takeup M Kormos, RP Lieli, M Huber arXiv preprint arXiv:2301.04876, 2023 | | 2023 |
| Estimation and inference for distribution and quantile functions in endogenous treatment effect models YC Hsu, TC Lai, RP Lieli Econometric Reviews 41 (1), 22-50, 2022 | 16* | 2022 |
| Counterfactual treatment effects: Estimation and inference YC Hsu, TC Lai, RP Lieli Journal of Business & Economic Statistics 40 (1), 240-255, 2022 | 22 | 2022 |
| Estimation of conditional average treatment effects with high-dimensional data Q Fan, YC Hsu, RP Lieli, Y Zhang Journal of Business & Economic Statistics 40 (1), 313-327, 2022 | 118 | 2022 |
| The Use of Machine Learning in Treatment Effect Estimation RP Lieli, YC Hsu, Á Reguly Econometrics with Machine Learning, eds. Felix Chan and Laszlo Matyas, 79-109, 2022 | 1 | 2022 |
| Inference for ROC curves based on estimated predictive indices YC Hsu, RP Lieli arXiv preprint arXiv:2112.01772, 2021 | 4 | 2021 |
| Supplement to “Estimation of Conditional Average Treatment Effects with High-Dimensional Data” Q Fan, YC Hsu, RP Lieli, Y Zhang | | 2020 |
| On the possibility of informative equilibria in futures markets with feedback RP Lieli, A Nieto-Barthaburu Journal of the European Economic Association 18 (3), 1521-1552, 2020 | 8* | 2020 |
| Using the area under an estimated ROC curve to test the adequacy of binary predictors RP Lieli, YC Hsu Journal of Nonparametric Statistics 31 (1), 100-130, 2019 | 31* | 2019 |
| Unrestricted and Controlled Identification of Loss Functions: Possibility and Impossibility Results RP Lieli, MB Stinchcombe International Journal of Forecasting 35, 878– 890, 2019 | 2 | 2019 |
| Information Flow Between Prediction Markets, Polls and Media: Evidence from the 2008 Presidential Primaries U Khan, RP Lieli International Journal of Forecasting 34 (4), 696-710, 2018 | 6 | 2018 |
| Bregman and GPL Losses: Identified or Not? RP Lieli, MB Stinchcombe Working paper, Department of Economics, Central European University, 2016 | 1 | 2016 |
| The Impact of the National Bank of Hungary's Funding for Growth Scheme on Firm Level Investment M Endresz, P Harasztosi, RP Lieli working paper, 2016 | 31* | 2016 |
| Essays on responses to taxation P Mosberger Wor ing Paper, 2016 | 5 | 2016 |
| Estimating Conditional Average Treatment Effects J Abrevaya, YC Hsu, RP Lieli Journal of Business and Economic Statistics 33 (4), 485-505, 2015 | 205 | 2015 |
| Inverse Probability Weighted Estimation of Local Average Treatment Effects: A Higher Order MSE Expansion SG Donald, YC Hsu, RP Lieli Statistics and Probability Letters 95, 132-138, 2014 | 21 | 2014 |
| Testing the Asset Pricing Model of Exchange Rates with Survey Forecasts A Naszodi, R Lieli Working Paper, 2014 | 3 | 2014 |
| Testing the unconfoundedness assumption via inverse probability weighted estimators of (l) att SG Donald, YC Hsu, RP Lieli Journal of Business and Economic Statistics 32 (3), 395-415, 2014 | 68 | 2014 |