Details about Achim Ahrens

Access statistics for papers by Achim Ahrens.

Last updated 2024-09-19. Update your information in the RePEc Author Service.

Short-id: pah173

Working Papers

2024

1. Model Averaging and Double Machine Learning
   IZA Discussion Papers, Institute of Labor Economics (IZA)
   Also in Papers, arXiv.org (2024)
2. Optimal multi-action treatment allocation: A two-phase field experiment to boost immigrant naturalization
   Papers, arXiv.org
3. Social Assistance and Refugee Crime
   CESifo Working Paper Series, CESifo
4. The Labor Market Effects of Restricting Refugees' Employment Opportunities
   SocArXiv, Center for Open Science
   Also in IZA Discussion Papers, Institute of Labor Economics (IZA) (2023) View citations (5)
5. ddml: Double/debiased machine learning in Stata
   Papers, arXiv.org View citations (2)
   Also in IZA Discussion Papers, Institute of Labor Economics (IZA) (2023) View citations (2)
   Swiss Stata Conference 2022, Stata Users Group (2022)
   See also Journal Article ddml: Double/debiased machine learning in Stata, Stata Journal, StataCorp LP (2024) (2024)

2023

6. Cash-Based Interventions Improve Multidimensional Integration Outcomes of Venezuelan Immigrants
   SocArXiv, Center for Open Science
   See also Journal Article Cash-based interventions improve multidimensional integration outcomes of Venezuelan immigrants, World Development, Elsevier (2024) (2024)
7. The Labor Market Effects of Restricting Refugees’ Employment Opportunities
   KOF Working papers, KOF Swiss Economic Institute, ETH Zurich View citations (3)
8. pystacked and ddml: machine learning for prediction and causal inference in Stata
   UK Stata Conference 2023, Stata Users Group
9. pystacked: Stacking generalization and machine learning in Stata
   Papers, arXiv.org
   Also in Swiss Stata Conference 2022, Stata Users Group (2022) View citations (3)
   See also Journal Article pystacked: Stacking generalization and machine learning in Stata, Stata Journal, StataCorp LP (2023) (2023)

2022

10. Double/debiased machine learning in Stata
    Italian Stata Users' Group Meetings 2022, Stata Users Group
11. Stacking generalization and machine learning in Stata
    Italian Stata Users' Group Meetings 2022, Stata Users Group

2020

12. A review of the methodologies used in compiling owner-occupiers’ housing indices
    Papers, Economic and Social Research Institute (ESRI) View citations (3)
13. Urban rents and commuting times in Ireland
    Papers, Economic and Social Research Institute (ESRI)

2019

14. Price regulation, inflation, and nominal rigidity in housing rents
    Papers, Economic and Social Research Institute (ESRI) View citations (2)
    See also Journal Article Price regulation, inflation, and nominal rigidity in housing rents, Journal of Housing Economics, Elsevier (2021) View citations (4) (2021)
15. lassopack: Model Selection and Prediction with Regularized Regression in Stata
    IZA Discussion Papers, Institute of Labor Economics (IZA) View citations (14)
    Also in Papers, arXiv.org (2019) View citations (15)
    See also Journal Article lassopack: Model selection and prediction with regularized regression in Stata, Stata Journal, StataCorp LP (2020) View citations (57) (2020)

2018

16. LASSOPACK and PDSLASSO: Prediction, model selection and causal inference with regularized regression
    London Stata Conference 2018, Stata Users Group View citations (2)

2015

17. Civil conflicts in Africa: Climate, economic shocks, nighttime lights and spill-over effects
    SEEC Discussion Papers, Spatial Economics and Econometrics Centre, Heriot Watt University View citations (1)

Journal Articles

2024

1. Cash-based interventions improve multidimensional integration outcomes of Venezuelan immigrants
   World Development, 2024, 181, (C)
   See also Working Paper Cash-Based Interventions Improve Multidimensional Integration Outcomes of Venezuelan Immigrants, SocArXiv (2023) (2023)
2. ddml: Double/debiased machine learning in Stata
   Stata Journal, 2024, 24, (1), 3-45
   See also Working Paper ddml: Double/debiased machine learning in Stata, Papers (2024) View citations (2) (2024)

2023

3. pystacked: Stacking generalization and machine learning in Stata
   Stata Journal, 2023, 23, (4), 909-931
   See also Working Paper pystacked: Stacking generalization and machine learning in Stata, Papers (2023) (2023)

2021

4. Do rising rents lead to longer commutes? A gravity model of commuting flows in Ireland
   Urban Studies, 2021, 58, (2), 264-279 View citations (5)
5. Price regulation, inflation, and nominal rigidity in housing rents
   Journal of Housing Economics, 2021, 52, (C) View citations (4)
   See also Working Paper Price regulation, inflation, and nominal rigidity in housing rents, Papers (2019) View citations (2) (2019)

2020

6. Commuting across the Irish border
   Economics Letters, 2020, 190, (C) View citations (2)
7. lassopack: Model selection and prediction with regularized regression in Stata
   Stata Journal, 2020, 20, (1), 176-235 View citations (57)
   See also Working Paper lassopack: Model Selection and Prediction with Regularized Regression in Stata, IZA Discussion Papers (2019) View citations (14) (2019)

2019

8. Changes in Land Cover and Urban Sprawl in Ireland From a Comparative Perspective Over 1990–2012
   Land, 2019, 8, (1), 1-14 View citations (14)

2015

9. Civil Conflicts, Economic Shocks and Night-time Lights
   Peace Economics, Peace Science, and Public Policy, 2015, 21, (4), 433-444 View citations (3)
10. Do execution moratoriums increase homicide? Re-examining evidence from Illinois
    Applied Economics, 2015, 47, (31), 3243-3257 View citations (1)
11. Two-Step Lasso Estimation of the Spatial Weights Matrix
    Econometrics, 2015, 3, (1), 1-28 View citations (23)

2012

12. Conditionality or specificity? Bulgaria and Romania's economic transition performance in comparative perspective
    Post-Communist Economies, 2012, 24, (2), 291-307 View citations (2)

Software Items

2024

1. DDML: Stata module for Double/Debiased Machine Learning
   Statistical Software Components, Boston College Department of Economics
2. LASSOPACK: Stata module for lasso, square-root lasso, elastic net, ridge, adaptive lasso estimation and cross-validation
   Statistical Software Components, Boston College Department of Economics View citations (19)
3. PDSLASSO: Stata module for post-selection and post-regularization OLS or IV estimation and inference
   Statistical Software Components, Boston College Department of Economics View citations (17)
4. PYSTACKED: Stata module for stacking generalization and machine learning in Stata
   Statistical Software Components, Boston College Department of Economics