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Balancing Covariates via Propensity Score Weighting

Citations

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Cited by:

  1. Guido W. Imbens, 2020. "Potential Outcome and Directed Acyclic Graph Approaches to Causality: Relevance for Empirical Practice in Economics," Journal of Economic Literature, American Economic Association, vol. 58(4), pages 1129-1179, December.
  2. Amilon, Anna & Kjær, Agnete Aslaug & Ladenburg, Jacob & Siren, Anu, 2022. "Trust in the publicly financed care system and willingness to pay for long-term care: A discrete choice experiment in Denmark," Social Science & Medicine, Elsevier, vol. 311(C).
  3. Heiler, Phillip & Kazak, Ekaterina, 2021. "Valid inference for treatment effect parameters under irregular identification and many extreme propensity scores," Journal of Econometrics, Elsevier, vol. 222(2), pages 1083-1108.
  4. Sezgin Ayabakan & Indranil R. Bardhan & Zhiqiang (Eric) Zheng, 2024. "Impact of Telehealth and Process Virtualization on Healthcare Utilization," Information Systems Research, INFORMS, vol. 35(1), pages 45-65, March.
  5. Ray Chambers & Setareh Ranjbar & Nicola Salvati & Barbara Pacini, 2022. "Weighting, informativeness and causal inference, with an application to rainfall enhancement," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(4), pages 1584-1612, October.
  6. Francis, Bill B. & Hasan, Iftekhar & Shen, Yinjie (Victor) & Wu, Qiang, 2021. "Do activist hedge funds target female CEOs? The role of CEO gender in hedge fund activism," Journal of Financial Economics, Elsevier, vol. 141(1), pages 372-393.
  7. Chen, Jun & Hshieh, Shenje & Zhang, Feng, 2021. "The role of high-skilled foreign labor in startup performance: Evidence from two natural experiments," Journal of Financial Economics, Elsevier, vol. 142(1), pages 430-452.
  8. Alexander W. Butler & Xiang Gao & Cihan Uzmanoglu, 2021. "Financial Innovation and Financial Intermediation: Evidence from Credit Default Swaps," Management Science, INFORMS, vol. 67(5), pages 3150-3173, May.
  9. Fan Li & Andrea Mercatanti & Taneli Mäkinen & Andrea Silvestrini, 2019. "A regression discontinuity design for categorical ordered running variables with an application to central bank purchases of corporate bonds," Temi di discussione (Economic working papers) 1213, Bank of Italy, Economic Research and International Relations Area.
  10. Taneli Mäkinen & Fan Li & Andrea Mercatanti & Andrea Silvestrini, 2020. "Effects of eligibility for central bank purchases on corporate bond spreads," Temi di discussione (Economic working papers) 1300, Bank of Italy, Economic Research and International Relations Area.
  11. Guido Imbens & Yiqing Xu, 2024. "LaLonde (1986) after Nearly Four Decades: Lessons Learned," Papers 2406.00827, arXiv.org, revised Jun 2024.
  12. Jason Poulos & Shuxi Zeng, 2021. "RNN‐based counterfactual prediction, with an application to homestead policy and public schooling," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 70(4), pages 1124-1139, August.
  13. David Córcoles & Carmen Díaz-Mora & Rosario Gandoy & Ángela Triguero, 2023. "The role of servitization in international entrepreneurship: An analysis for Spanish manufacturing firms," Journal of International Entrepreneurship, Springer, vol. 21(2), pages 214-244, June.
  14. Brian G. Vegetabile & Daniel L. Gillen & Hal S. Stern, 2020. "Optimally balanced Gaussian process propensity scores for estimating treatment effects," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(1), pages 355-377, January.
  15. Sloczynski, Tymon, 2018. "Average Gaps and Oaxaca's Blinder Decompositions: A Cautionary Tale about Regression Estimates of Racial Differences in Labor Market Outcomes," IZA Discussion Papers 12041, Institute of Labor Economics (IZA).
  16. Mäkinen, Taneli & Li, Fan & Mercatanti, Andrea & Silvestrini, Andrea, 2022. "Causal analysis of central bank holdings of corporate bonds under interference," Economic Modelling, Elsevier, vol. 113(C).
  17. Jeremiah Jones & Ashkan Ertefaie & Susan M. Shortreed, 2023. "Rejoinder to “Reader reaction to ‘Outcome‐adaptive Lasso: Variable selection for causal inference’ by Shortreed and Ertefaie (2017)”," Biometrics, The International Biometric Society, vol. 79(1), pages 521-525, March.
  18. Jiangang Liao & Charles Rohde, 2022. "Variance reduction in the inverse probability weighted estimators for the average treatment effect using the propensity score," Biometrics, The International Biometric Society, vol. 78(2), pages 660-667, June.
  19. Daniela Del Boca & Enrica Maria Martino & Chiara Pronzato, 2022. "Non cognitive skills and childcare attendance," Review of Economics of the Household, Springer, vol. 20(4), pages 1059-1085, December.
  20. Joop Age Harm Adema & Cevat Giray Aksoy & Panu Poutvaara, 2021. "Mobile Internet Access and the Desire to Emigrate," ifo Working Paper Series 365, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
  21. Sallin, Aurelién, 2021. "Estimating returns to special education: combining machine learning and text analysis to address confounding," Economics Working Paper Series 2109, University of St. Gallen, School of Economics and Political Science.
  22. D’Amour, Alexander & Ding, Peng & Feller, Avi & Lei, Lihua & Sekhon, Jasjeet, 2021. "Overlap in observational studies with high-dimensional covariates," Journal of Econometrics, Elsevier, vol. 221(2), pages 644-654.
  23. Davide Viviano & Jelena Bradic, 2021. "Dynamic covariate balancing: estimating treatment effects over time with potential local projections," Papers 2103.01280, arXiv.org, revised Jan 2024.
  24. Ketel, Nadine & Oosterbeek, Hessel & Sovago, Sandor & van der Klaauw, Bas, 2023. "The (Un)Importance of School Assignment," IZA Discussion Papers 16591, Institute of Labor Economics (IZA).
  25. Phillip Heiler & Michael C. Knaus, 2021. "Effect or Treatment Heterogeneity? Policy Evaluation with Aggregated and Disaggregated Treatments," Papers 2110.01427, arXiv.org, revised Aug 2023.
  26. Pedro H. C. Sant'Anna & Xiaojun Song & Qi Xu, 2022. "Covariate distribution balance via propensity scores," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(6), pages 1093-1120, September.
  27. Shuo Sun & Erica E. M. Moodie & Johanna G. Nešlehová, 2021. "Causal inference for quantile treatment effects," Environmetrics, John Wiley & Sons, Ltd., vol. 32(4), June.
  28. repec:ags:aaea22:335586 is not listed on IDEAS
  29. Sumit Saurav & Sobhesh Kumar Agarwalla & Jayanth R. Varma, 2024. "Role of derivatives market in attenuating underreaction to left‐tail risk," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 44(3), pages 484-517, March.
  30. Jason Poulos & Andrea Albanese & Andrea Mercatanti & Fan Li, 2021. "Retrospective causal inference via matrix completion, with an evaluation of the effect of European integration on cross-border employment," LISER Working Paper Series 2021-07, Luxembourg Institute of Socio-Economic Research (LISER).
  31. Yiyan Huang & Cheuk Hang Leung & Xing Yan & Qi Wu & Shumin Ma & Zhiri Yuan & Dongdong Wang & Zhixiang Huang, 2022. "Robust Causal Learning for the Estimation of Average Treatment Effects," Papers 2209.01805, arXiv.org.
  32. Belev, S. & Veterinarov, V. & Matveev, E., 2023. "Vertical collusion in public procurement: Estimation based on data for R&D composite auctions," Journal of the New Economic Association, New Economic Association, vol. 59(2), pages 36-63.
  33. Zhang, Xiaoke & Xue, Wu & Wang, Qiyue, 2021. "Covariate balancing functional propensity score for functional treatments in cross-sectional observational studies," Computational Statistics & Data Analysis, Elsevier, vol. 163(C).
  34. Martin Cousineau & Vedat Verter & Susan A. Murphy & Joelle Pineau, 2022. "Estimating causal effects with optimization-based methods: A review and empirical comparison," Papers 2203.00097, arXiv.org.
  35. Söhnke M Bartram & Jennifer Conrad & Jongsub Lee & Marti G Subrahmanyam, 2022. "Credit Default Swaps around the World," The Review of Financial Studies, Society for Financial Studies, vol. 35(5), pages 2464-2524.
  36. Peng Ding, 2022. "Peng Ding’s contribution to the Discussion of ‘Assumption‐lean inference for generalised linear model parameters’ by Vansteelandt and Dukes," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(3), pages 691-693, July.
  37. Daniel Jacob, 2021. "Variable Selection for Causal Inference via Outcome-Adaptive Random Forest," Papers 2109.04154, arXiv.org.
  38. Zongwu Cai & Ying Fang & Ming Lin & Yaqian Wu, 2024. "Estimating Counterfactual Distribution Functions via Optimal Distribution Balancing with Applications," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202415, University of Kansas, Department of Economics.
  39. Byeong Yeob Choi, 2021. "Instrumental variable estimation of truncated local average treatment effects," PLOS ONE, Public Library of Science, vol. 16(4), pages 1-12, April.
  40. Susan Athey & Dean Karlan & Emil Palikot & Yuan Yuan, 2022. "Smiles in Profiles: Improving Fairness and Efficiency Using Estimates of User Preferences in Online Marketplaces," NBER Working Papers 30633, National Bureau of Economic Research, Inc.
  41. Tymon Słoczyński, 2020. "Average Gaps and Oaxaca–Blinder Decompositions: A Cautionary Tale about Regression Estimates of Racial Differences in Labor Market Outcomes," ILR Review, Cornell University, ILR School, vol. 73(3), pages 705-729, May.
  42. Kuanhao Jiang & Rajarshi Mukherjee & Subhabrata Sen & Pragya Sur, 2022. "A New Central Limit Theorem for the Augmented IPW Estimator: Variance Inflation, Cross-Fit Covariance and Beyond," Papers 2205.10198, arXiv.org, revised Oct 2022.
  43. Arthur Charpentier & Emmanuel Flachaire & Ewen Gallic, 2023. "Optimal Transport for Counterfactual Estimation: A Method for Causal Inference," Papers 2301.07755, arXiv.org.
  44. Sokbae Lee & Martin Weidner, 2021. "Bounding Treatment Effects by Pooling Limited Information across Observations," Papers 2111.05243, arXiv.org, revised Dec 2023.
  45. Li, Jay Y. & Tang, Dragon Yongjun, 2022. "Product market competition with CDS," Journal of Corporate Finance, Elsevier, vol. 73(C).
  46. Myoung‐jae Lee, 2021. "Instrument residual estimator for any response variable with endogenous binary treatment," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 83(3), pages 612-635, July.
  47. Julian Vedeler Johnsen & Katrine Holm Reiso, 2020. "Economic Effects of Workfare Reforms for Single Mothers: Benefit Substitution and Labour Supply Responses," Scandinavian Journal of Economics, Wiley Blackwell, vol. 122(2), pages 494-523, April.
  48. Thomas R. Covert & Richard L. Sweeney, 2019. "Relinquishing Riches: Auctions vs Informal Negotiations in Texas Oil and Gas Leasing," NBER Working Papers 25712, National Bureau of Economic Research, Inc.
  49. Madina Kurmangaliyeva & Matteo Sostero, 2022. "Walking while Black :Racial Gaps in Hit-and-Run Cases," Working Papers ECARES 2022-08, ULB -- Universite Libre de Bruxelles.
  50. Aur'elien Sallin, 2021. "Estimating returns to special education: combining machine learning and text analysis to address confounding," Papers 2110.08807, arXiv.org, revised Feb 2022.
  51. Erica E. M. Moodie & Janie Coulombe & Coraline Danieli & Christel Renoux & Susan M. Shortreed, 2022. "Privacy-preserving estimation of an optimal individualized treatment rule: a case study in maximizing time to severe depression-related outcomes," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 28(3), pages 512-542, July.
  52. Tang, Lu & Zhou, Ling & Song, Peter X.-K., 2020. "Distributed simultaneous inference in generalized linear models via confidence distribution," Journal of Multivariate Analysis, Elsevier, vol. 176(C).
  53. Arzi Adbi & Devanshee Shukla, 2023. "Registration at founding and firm performance: Generalization and extension replication from global data," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 54(2), pages 365-384, March.
  54. Martina Pocchiari & Jason M.T. Roos, 2023. "The Heterogeneous Effect of Digitizing Community Activities on Community Participation," CESifo Working Paper Series 10841, CESifo.
  55. Kevin P. Josey & Elizabeth Juarez‐Colunga & Fan Yang & Debashis Ghosh, 2021. "A framework for covariate balance using Bregman distances," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 48(3), pages 790-816, September.
  56. Sticher, Silvio & Blättler, Kevin, 2024. "Public-Transportation Credits: The potential of three-part tariffs in public transportation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 182(C).
  57. Phillip Heiler, 2020. "Efficient Covariate Balancing for the Local Average Treatment Effect," Papers 2007.04346, arXiv.org.
  58. Yu, Haiyan & Yang, Ching-Chi & Yu, Ping, 2023. "Constrained optimization for stratified treatment rules in reducing hospital readmission rates of diabetic patients," European Journal of Operational Research, Elsevier, vol. 308(3), pages 1355-1364.
  59. Wayne R. Landsman & Chao Kevin Li & Jianxin Donny Zhao, 2023. "CDS Trading Initiation, Information Asymmetry, and Dividend Payout," Management Science, INFORMS, vol. 69(1), pages 684-701, January.
  60. Ganesh Karapakula, 2023. "Stable Probability Weighting: Large-Sample and Finite-Sample Estimation and Inference Methods for Heterogeneous Causal Effects of Multivalued Treatments Under Limited Overlap," Papers 2301.05703, arXiv.org, revised Jan 2023.
  61. José F Baños-Pino & David Boto-García & Eduardo Del Valle & Inés Sustacha, 2023. "The impact of COVID-19 on tourists’ length of stay and daily expenditures," Tourism Economics, , vol. 29(2), pages 437-459, March.
  62. Tomoshige Nakamura & Mihoko Minami, 2021. "Causal Subclassification Tree Algorithm and Robust Causal Effect Estimation via Subclassification," International Journal of Statistics and Probability, Canadian Center of Science and Education, vol. 10(1), pages 1-40, January.
  63. Qingyuan Zhao & Dylan S. Small & Ashkan Ertefaie, 2022. "Selective inference for effect modification via the lasso," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(2), pages 382-413, April.
  64. Dongcheng Zhang & Kunpeng Zhang, 2020. "Weighting-Based Treatment Effect Estimation via Distribution Learning," Papers 2012.13805, arXiv.org, revised May 2023.
  65. Cerqua Augusto & Di Stefano Roberta & Mattera Raffaele, 2024. "The Clustered Dose-Response Function Estimator for continuous treatment with heterogeneous treatment effects," Papers 2409.08773, arXiv.org.
  66. Chen, Jun-Hong & Jones, Dylan & Lee, Jihye & Yan, Yufu & Hsieh, Wan-Jung & Huang, Chieh-Hsun & Yang, Yuanyuan & Wu, Chi-Fang & Jonson-Reid, Melissa & Drake, Brett, 2024. "Do the benefits of homeownership on mental health vary by race and poverty status? An application of doubly robust estimation for causal inference," Social Science & Medicine, Elsevier, vol. 351(C).
  67. Cousineau, Martin & Verter, Vedat & Murphy, Susan A. & Pineau, Joelle, 2023. "Estimating causal effects with optimization-based methods: A review and empirical comparison," European Journal of Operational Research, Elsevier, vol. 304(2), pages 367-380.
  68. Ladenburg, Jacob & Kim, Jiwon & Zuch, Matteo & Soytas, Ugur, 2024. "Taking the carbon capture and storage, wind power, PV or other renewable technology path to fight climate change? Exploring the acceptance of climate change mitigation technologies – A Danish national," Renewable Energy, Elsevier, vol. 220(C).
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