lassopack: Model selection and prediction with regularized regression in Stata A Ahrens, CB Hansen, ME Schaffer The Stata Journal 20 (1), 176-235, 2020 | 221 | 2020 |
PDSLASSO: Stata module for post-selection and post-regularization OLS or IV estimation and inference A Ahrens, C Hansen, M Schaffer Boston College Department of Economics, 2019 | 105 | 2019 |
Two-step lasso estimation of the spatial weights matrix A Ahrens, A Bhattacharjee Econometrics 3 (1), 128-155, 2015 | 72 | 2015 |
LASSOPACK: Stata module for lasso, square-root lasso, elastic net, ridge, adaptive lasso estimation and cross-validation A Ahrens, C Hansen, M Schaffer Boston College Department of Economics, 2020 | 68 | 2020 |
Changes in land cover and urban sprawl in Ireland from a comparative perspective over 1990–2012 A Ahrens, S Lyons Land 8 (1), 16, 2019 | 55 | 2019 |
Do rising rents lead to longer commutes? A gravity model of commuting flows in Ireland A Ahrens, S Lyons Urban Studies 58 (2), 264-279, 2021 | 29 | 2021 |
Trends in rental price inflation and the introduction of rent pressure zones in Ireland A Ahrens, M Martinez-Cillero, C O'Toole Economic and Social Research Institute, 2019 | 16 | 2019 |
ddml: Double/debiased machine learning in Stata A Ahrens, CB Hansen, ME Schaffer, T Wiemann The Stata Journal 24 (1), 3-45, 2024 | 13 | 2024 |
Price regulation, inflation, and nominal rigidity in housing rents C O’Toole, M Martinez-Cillero, A Ahrens Journal of Housing Economics 52, 101769, 2021 | 11 | 2021 |
Conditionality or specificity? Bulgaria and Romania's economic transition performance in comparative perspective A Ahrens, J Zweynert Post-Communist Economies 24 (2), 291-307, 2012 | 11 | 2012 |
The Labor Market Effects of Restricting Refugees' Employment Opportunities A Ahrens, A Beerli, D Hangartner, S Kurer, M Siegenthaler IZA Discussion Paper, 2023 | 9 | 2023 |
Civil conflicts, economic shocks and night-time lights A Ahrens Peace Economics, Peace Science and Public Policy 21 (4), 433-444, 2015 | 9 | 2015 |
pystacked: Stacking generalization and machine learning in Stata A Ahrens, CB Hansen, ME Schaffer arXiv preprint arXiv:2208.10896, 2022 | 7 | 2022 |
A review of the methodologies used in compiling owner-occupiers' housing indices A Ahrens, K Beirne, P Economides, I Kostarakos, K McQuinn, C O'Toole ESRI Working Paper, 2020 | 7 | 2020 |
A Theory-based Lasso for time-series data A Ahrens, C Aitken, J Ditzen, E Ersoy, D Kohns, ME Schaffer Data Science for Financial Econometrics, 3-36, 2021 | 6 | 2021 |
Prediction, model selection, and causal inference with regularized regression A Ahrens, ME Schaffer, CB Hansen Technical report. London Stata Conference 2018 at the Cass Business School, 2018 | 6 | 2018 |
An introduction to stacking regression for economists A Ahrens, E Ersoy, V Iakovlev, H Li, ME Schaffer International Conference of the Thailand Econometrics Society, 7-29, 2022 | 5 | 2022 |
Using machine learning methods to support causal inference in econometrics A Ahrens, C Aitken, ME Schaffer Behavioral predictive modeling in economics, 23-52, 2021 | 5 | 2021 |
lassologit: Stata module for logistic lasso regression A Ahrens, CB Hansen, M Schaffer Statistical Software Components, Boston College Department of Economics, 2019 | 5 | 2019 |
LASSOPACK and PDSLASSO: Prediction, model selection and causal inference with regularized regression A Ahrens, CB Hansen, ME Schaffer London Stata Conference 2018, 2018 | 5 | 2018 |