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Doubly Robust Estimation in Missing Data and Causal Inference Models

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Cited by:

  1. Jiabei Yang & Issa J. Dahabreh & Jon A. Steingrimsson, 2022. "Causal interaction trees: Finding subgroups with heterogeneous treatment effects in observational data," Biometrics, The International Biometric Society, vol. 78(2), pages 624-635, June.
  2. Su, Miaomiao & Wang, Ruoyu & Wang, Qihua, 2022. "A two-stage optimal subsampling estimation for missing data problems with large-scale data," Computational Statistics & Data Analysis, Elsevier, vol. 173(C).
  3. Baqun Zhang & Anastasios A. Tsiatis & Eric B. Laber & Marie Davidian, 2012. "A Robust Method for Estimating Optimal Treatment Regimes," Biometrics, The International Biometric Society, vol. 68(4), pages 1010-1018, December.
  4. Anastasios A. Tsiatis & Marie Davidian & Weihua Cao, 2011. "Improved Doubly Robust Estimation When Data Are Monotonely Coarsened, with Application to Longitudinal Studies with Dropout," Biometrics, The International Biometric Society, vol. 67(2), pages 536-545, June.
  5. YAMAGUCHI Kazuo, 2014. "Decomposition of Gender or Racial Inequality with Endogenous Intervening Covariates: An extension of the DiNardo-Fortin-Lemieux method," Discussion papers 14061, Research Institute of Economy, Trade and Industry (RIETI).
  6. Frölich, Markus & Huber, Martin & Wiesenfarth, Manuel, 2017. "The finite sample performance of semi- and non-parametric estimators for treatment effects and policy evaluation," Computational Statistics & Data Analysis, Elsevier, vol. 115(C), pages 91-102.
  7. repec:spa:wpaper:2014wpecon03 is not listed on IDEAS
  8. Fiedler, Salomon & Görg, Holger & Hornok, Cecília & Jannsen, Nils & Kooths, Stefan & Marchal, Léa & Potjagailo, Galina, 2018. "Direktinvestitionen im Ausland - Effekte auf die deutsche Leistungsbilanz und Spillovers in den Empfängerländern," Kieler Beiträge zur Wirtschaftspolitik 16, Kiel Institute for the World Economy (IfW Kiel).
  9. Michela Bia & Martin Huber & Luk'av{s} Laff'ers, 2020. "Double machine learning for sample selection models," Papers 2012.00745, arXiv.org, revised Jul 2021.
  10. Essilfie, Felix Larry, 2018. "Varietal seed technology and household income of maize farmers: An application of the doubly robust model," Technology in Society, Elsevier, vol. 55(C), pages 85-91.
  11. Michael Lechner & Conny Wunsch, 2009. "Are Training Programs More Effective When Unemployment Is High?," Journal of Labor Economics, University of Chicago Press, vol. 27(4), pages 653-692, October.
  12. Ranjbar, Setareh & Salvati, Nicola & Pacini, Barbara, 2023. "Estimating heterogeneous causal effects in observational studies using small area predictors," Computational Statistics & Data Analysis, Elsevier, vol. 184(C).
  13. Hamori, Shigeyuki & Motegi, Kaiji & Zhang, Zheng, 2019. "Calibration estimation of semiparametric copula models with data missing at random," Journal of Multivariate Analysis, Elsevier, vol. 173(C), pages 85-109.
  14. Jiafeng Chen & David M. Ritzwoller, 2021. "Semiparametric Estimation of Long-Term Treatment Effects," Papers 2107.14405, arXiv.org, revised Aug 2023.
  15. Joseph Hogan, 2009. "Comments on: Missing data methods in longitudinal studies: a review," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 18(1), pages 59-64, May.
  16. Pereira, Mariano & Barletta, Florencia & Yoguel, Gabriel, 2016. "The performance of the computer software and services sector in Argentina: microeconometric evidence on public-sector support programmes," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), December.
  17. Victor Chernozhukov & Juan Carlos Escanciano & Hidehiko Ichimura & Whitney K. Newey & James M. Robins, 2022. "Locally Robust Semiparametric Estimation," Econometrica, Econometric Society, vol. 90(4), pages 1501-1535, July.
  18. Basil Odermatt & Nina Keil & Markus Lips, 2018. "Animal Welfare Payments and Veterinary and Insemination Costs for Dairy Cows," Agriculture, MDPI, vol. 9(1), pages 1-14, December.
  19. Tchetgen Tchetgen Eric J, 2011. "On Causal Mediation Analysis with a Survival Outcome," The International Journal of Biostatistics, De Gruyter, vol. 7(1), pages 1-38, September.
  20. Philipp Baumann & Enzo Rossi & Michael Schomaker, 2022. "Estimating the effect of central bank independence on inflation using longitudinal targeted maximum likelihood estimation," IFC Bulletins chapters, in: Bank for International Settlements (ed.), Machine learning in central banking, volume 57, Bank for International Settlements.
  21. Masahiro Kato, 2021. "Adaptive Doubly Robust Estimator from Non-stationary Logging Policy under a Convergence of Average Probability," Papers 2102.08975, arXiv.org, revised Mar 2021.
  22. 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.
  23. Jakob Everding & Jan Marcus, 2020. "The effect of unemployment on the smoking behavior of couples," Health Economics, John Wiley & Sons, Ltd., vol. 29(2), pages 154-170, February.
  24. Stephens Alisa & Tchetgen Tchetgen Eric & De Gruttola Victor, 2014. "Locally Efficient Estimation of Marginal Treatment Effects When Outcomes Are Correlated: Is the Prize Worth the Chase?," The International Journal of Biostatistics, De Gruyter, vol. 10(1), pages 1-17, May.
  25. Alexander Buchholz & Vito Bellini & Giuseppe Di Benedetto & Yannik Stein & Matteo Ruffini & Fabian Moerchen, 2022. "Fair Effect Attribution in Parallel Online Experiments," Papers 2210.08338, arXiv.org.
  26. Matias D Cattaneo & Michael Jansson & Xinwei Ma, 2019. "Two-Step Estimation and Inference with Possibly Many Included Covariates," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 86(3), pages 1095-1122.
  27. Greg Lewis & Vasilis Syrgkanis, 2020. "Double/Debiased Machine Learning for Dynamic Treatment Effects via g-Estimation," Papers 2002.07285, arXiv.org, revised Jun 2021.
  28. Bai, Ye & Girma, Sourafel & Riaño, Alejandro, 2024. "Corporate acquisitions and firm-level uncertainty: Domestic versus cross-border deals," Journal of International Money and Finance, Elsevier, vol. 140(C).
  29. Dridi, Ichrak & Boughrara, Adel, 2023. "Flexible inflation targeting and stock market volatility: Evidence from emerging market economies," Economic Modelling, Elsevier, vol. 126(C).
  30. Radice Rosalba & Ramsahai Roland & Grieve Richard & Kreif Noemi & Sadique Zia & Sekhon Jasjeet S., 2012. "Evaluating treatment effectiveness in patient subgroups: a comparison of propensity score methods with an automated matching approach," The International Journal of Biostatistics, De Gruyter, vol. 8(1), pages 1-45, August.
  31. Edward H. Kennedy & Sivaraman Balakrishnan, 2018. "Discussion of “Data†driven confounder selection via Markov and Bayesian networks†by Jenny Häggström," Biometrics, The International Biometric Society, vol. 74(2), pages 399-402, June.
  32. Zhexiao Lin & Fang Han, 2022. "On regression-adjusted imputation estimators of the average treatment effect," Papers 2212.05424, arXiv.org, revised Jan 2023.
  33. David R. Bell & Santiago Gallino & Antonio Moreno, 2018. "Offline Showrooms in Omnichannel Retail: Demand and Operational Benefits," Management Science, INFORMS, vol. 64(4), pages 1629-1651, April.
  34. Marianne Bl'ehaut & Xavier D'Haultfoeuille & J'er'emy L'Hour & Alexandre B. Tsybakov, 2020. "An alternative to synthetic control for models with many covariates under sparsity," Papers 2005.12225, arXiv.org, revised Jun 2021.
  35. Kamhöfer, Daniel, 2014. "The Effect of Early Childhood Language Training Programs on the Contemporary Formation of Grammar Skills," VfS Annual Conference 2014 (Hamburg): Evidence-based Economic Policy 100374, Verein für Socialpolitik / German Economic Association.
  36. Lars van der Laan & Wenbo Zhang & Peter B. Gilbert, 2023. "Nonparametric estimation of the causal effect of a stochastic threshold‐based intervention," Biometrics, The International Biometric Society, vol. 79(2), pages 1014-1028, June.
  37. Verena Lauber & Johanna Storck, 2016. "Helping with the Kids? How Family-Friendly Workplaces Affect Parental Well-Being and Behavior," SOEPpapers on Multidisciplinary Panel Data Research 883, DIW Berlin, The German Socio-Economic Panel (SOEP).
  38. Sant’Anna, Pedro H.C. & Zhao, Jun, 2020. "Doubly robust difference-in-differences estimators," Journal of Econometrics, Elsevier, vol. 219(1), pages 101-122.
  39. Yukun Ma & Pedro H. C. Sant'Anna & Yuya Sasaki & Takuya Ura, 2023. "Doubly Robust Estimators with Weak Overlap," Papers 2304.08974, arXiv.org, revised Apr 2023.
  40. Holger Görg & Léa Marchal, 2019. "Die Effekte deutscher Direktinvestitionen im Empfängerland vor dem Hintergrund des Leistungsbilanzüberschusses," Post-Print halshs-03905526, HAL.
  41. Stitelman Ori M. & De Gruttola Victor & van der Laan Mark J., 2012. "A General Implementation of TMLE for Longitudinal Data Applied to Causal Inference in Survival Analysis," The International Journal of Biostatistics, De Gruyter, vol. 8(1), pages 1-39, September.
  42. Sibhatu, Kibrom T. & Arslan, Aslihan & Zucchini, Emanuele, 2022. "The effect of agricultural programs on dietary diversity and food security: Insights from the smallholder productivity promotion program in Zambia," Food Policy, Elsevier, vol. 113(C).
  43. Katsikatsou, Myrsini & Moustaki, Irini & Md Jamil, Haziq, 2022. "Pairwise likelihood estimation for confirmatory factor analysis models with categorical variables and data that are missing at random," LSE Research Online Documents on Economics 108933, London School of Economics and Political Science, LSE Library.
  44. Satoshi Hattori & Masayuki Henmi, 2014. "Stratified doubly robust estimators for the average causal effect," Biometrics, The International Biometric Society, vol. 70(2), pages 270-277, June.
  45. Paul, Saumik, 2018. "The Effect of Emigration on Household Labor Supply: Evidence from Central Asia and South Caucasus," ADBI Working Papers 822, Asian Development Bank Institute.
  46. Peng Ding & Jiannan Lu, 2017. "Principal stratification analysis using principal scores," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 79(3), pages 757-777, June.
  47. John MacDonald & Robert J. Stokes & Greg Ridgeway & K. Jack Riley, 2007. "Race, Neighbourhood Context and Perceptions of Injustice by the Police in Cincinnati," Urban Studies, Urban Studies Journal Limited, vol. 44(13), pages 2567-2585, December.
  48. Harsh Parikh & Carlos Varjao & Louise Xu & Eric Tchetgen Tchetgen, 2022. "Validating Causal Inference Methods," Papers 2202.04208, arXiv.org, revised Jul 2022.
  49. Lucia Babino & Andrea Rotnitzky & James Robins, 2019. "Multiple robust estimation of marginal structural mean models for unconstrained outcomes," Biometrics, The International Biometric Society, vol. 75(1), pages 90-99, March.
  50. Shu Yang & Yunshu Zhang, 2023. "Multiply robust matching estimators of average and quantile treatment effects," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 50(1), pages 235-265, March.
  51. Stephanie A Kovalchik, 2020. "‘In search of lost time’: Identifying the causative role of cumulative competition load and competition time-loss in professional tennis using a structural nested mean model," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-18, April.
  52. Konan Alain N'Ghauran & Corinne Autant-Bernard, 2020. "Assessing the collaboration and network additionality of innovation policies: a counterfactual approach to the French cluster policy," Post-Print halshs-03128972, HAL.
  53. Ruoxuan Xiong & Allison Koenecke & Michael Powell & Zhu Shen & Joshua T. Vogelstein & Susan Athey, 2021. "Federated Causal Inference in Heterogeneous Observational Data," Papers 2107.11732, arXiv.org, revised Apr 2023.
  54. Huang, Wei & Li, Fan & Liao, Xiaowei & Hu, Pingping, 2018. "More money, better performance? The effects of student loans and need-based grants in China's higher education," China Economic Review, Elsevier, vol. 51(C), pages 208-227.
  55. Zhichao Jiang & Shu Yang & Peng Ding, 2022. "Multiply robust estimation of causal effects under principal ignorability," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 84(4), pages 1423-1445, September.
  56. Schmitz, H. & Westphal, M., 2013. "Short- and medium-term effects of informal care provision on health," Health, Econometrics and Data Group (HEDG) Working Papers 13/23, HEDG, c/o Department of Economics, University of York.
  57. Feir, Donn. L. & Foley, Kelly & Jones, Maggie E. C., 2022. "Heterogeneous Returns to Active Labour Market Programs for Indigenous Populations," IZA Discussion Papers 15358, Institute of Labor Economics (IZA).
  58. Uysal, S. Derya, 2013. "Doubly Robust Estimation of Causal Effects with Multivalued Treatments," Economics Series 297, Institute for Advanced Studies.
  59. Masahiro Kato & Takuya Ishihara & Junya Honda & Yusuke Narita, 2020. "Efficient Adaptive Experimental Design for Average Treatment Effect Estimation," Papers 2002.05308, arXiv.org, revised Oct 2021.
  60. Do, D. Phuong & Frank, Reanne & Finch, Brian Karl, 2012. "Does SES explain more of the black/white health gap than we thought? Revisiting our approach toward understanding racial disparities in health," Social Science & Medicine, Elsevier, vol. 74(9), pages 1385-1393.
  61. Ashley Muchow & Robert Bozick, 2022. "Exploring the role of legal status and neighborhood social capital on immigrant economic integration in Los Angeles," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 46(1), pages 1-36.
  62. Paul Frédéric Blanche & Anders Holt & Thomas Scheike, 2023. "On logistic regression with right censored data, with or without competing risks, and its use for estimating treatment effects," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 29(2), pages 441-482, April.
  63. 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.
  64. Lee, Myoung-jae & Lee, Sanghyeok, 2019. "Double robustness without weighting," Statistics & Probability Letters, Elsevier, vol. 146(C), pages 175-180.
  65. Hamidou Jawara, 2020. "Access to savings and household welfare evidence from a household survey in The Gambia," African Development Review, African Development Bank, vol. 32(2), pages 138-149, June.
  66. Wei, Kecheng & Qin, Guoyou & Zhang, Jiajia & Sui, Xuemei, 2022. "Doubly robust estimation in causal inference with missing outcomes: With an application to the Aerobics Center Longitudinal Study," Computational Statistics & Data Analysis, Elsevier, vol. 168(C).
  67. McFarland, Michael J. & Geller, Amanda & McFarland, Cheryl, 2019. "Police contact and health among urban adolescents: The role of perceived injustice," Social Science & Medicine, Elsevier, vol. 238(C), pages 1-1.
  68. Fossen, Frank & Simmler, Martin, 2012. "Differential taxation and firms' financial leverage: Evidence from the introduction of a flat tax on interest income," Discussion Papers 2012/4, Free University Berlin, School of Business & Economics.
  69. Lu Li & Andreas Richter & Petra Steinorth, 2023. "Mental health changes and the willingness to take risks," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 48(1), pages 31-62, March.
  70. Corder Nathan & Yang Shu, 2020. "Estimating Average Treatment Effects Utilizing Fractional Imputation when Confounders are Subject to Missingness," Journal of Causal Inference, De Gruyter, vol. 8(1), pages 249-271, January.
  71. Bo Zhang & Eric J. Tchetgen Tchetgen, 2022. "A semi‐parametric approach to model‐based sensitivity analysis in observational studies," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(S2), pages 668-691, December.
  72. repec:mpr:mprres:7711 is not listed on IDEAS
  73. Kott, Phillip S. & Chang, Ted, 2008. "Can Calibration Be Used to Adjust for “Nonignorable” Nonresponse?," NASS Research Reports 234387, United States Department of Agriculture, National Agricultural Statistics Service.
  74. Ignaciuk, Ada & Malevolti, Giulia & Scognamillo, Antonio & Sitko, Nicholas J., 2022. "Can food aid relax farmers’ constraints to adopting climate-adaptive agricultural practices? Evidence from Ethiopia, Malawi and the United Republic of Tanzania," ESA Working Papers 324073, Food and Agriculture Organization of the United Nations, Agricultural Development Economics Division (ESA).
  75. Wang, Qihua & Su, Miaomiao & Wang, Ruoyu, 2021. "A beyond multiple robust approach for missing response problem," Computational Statistics & Data Analysis, Elsevier, vol. 155(C).
  76. Matthew Cefalu & Francesca Dominici & Nils Arvold & Giovanni Parmigiani, 2017. "Model averaged double robust estimation," Biometrics, The International Biometric Society, vol. 73(2), pages 410-421, June.
  77. Daniel F. McCaffrey & Rosalie Liccardo Pacula & Bing Han & Phyllis Ellickson, 2010. "Marijuana use and high school dropout: the influence of unobservables," Health Economics, John Wiley & Sons, Ltd., vol. 19(11), pages 1281-1299, November.
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  80. Bryan S. Graham & Keisuke Hirano, 2011. "Robustness to Parametric Assumptions in Missing Data Models," American Economic Review, American Economic Association, vol. 101(3), pages 538-543, May.
  81. Słoczyński, Tymon & Wooldridge, Jeffrey M., 2018. "A General Double Robustness Result For Estimating Average Treatment Effects," Econometric Theory, Cambridge University Press, vol. 34(1), pages 112-133, February.
  82. Fan Li & Ashley L. Buchanan & Stephen R. Cole, 2022. "Generalizing trial evidence to target populations in non‐nested designs: Applications to AIDS clinical trials," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 71(3), pages 669-697, June.
  83. Zheng Wenjing & Petersen Maya & van der Laan Mark J., 2016. "Doubly Robust and Efficient Estimation of Marginal Structural Models for the Hazard Function," The International Journal of Biostatistics, De Gruyter, vol. 12(1), pages 233-252, May.
  84. Lewbel, Arthur & Choi, Jin Young & Zhou, Zhuzhu, 2023. "Over-identified Doubly Robust identification and estimation," Journal of Econometrics, Elsevier, vol. 235(1), pages 25-42.
  85. Ted Westling & Peter Gilbert & Marco Carone, 2020. "Causal isotonic regression," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 82(3), pages 719-747, July.
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  119. Donatien Eze Eze, 2019. "Microfinance programs and domestic violence in northern Cameroon; the case of the Familial Rural Income Improvement Program," Review of Economics of the Household, Springer, vol. 17(3), pages 947-967, September.
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