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Causal Inference Using Potential Outcomes: Design, Modeling, Decisions

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Cited by:

  1. Peng Ding & Tirthankar Dasgupta, 2016. "A Potential Tale of Two-by-Two Tables From Completely Randomized Experiments," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 111(513), pages 157-168, March.
  2. Noémi Kreif & Richard Grieve & Iván Díaz & David Harrison, 2015. "Evaluation of the Effect of a Continuous Treatment: A Machine Learning Approach with an Application to Treatment for Traumatic Brain Injury," Health Economics, John Wiley & Sons, Ltd., vol. 24(9), pages 1213-1228, September.
  3. Struck, Shannon & Enns, Jennifer E. & Sanguins, Julianne & Chartier, Mariette & Nickel, Nathan C. & Chateau, Dan & Sarkar, Joykrishna & Burland, Elaine & Hinds, Aynslie & Katz, Alan & Santos, Rob & Ch, 2021. "An unconditional prenatal cash benefit is associated with improved birth and early childhood outcomes for Metis families in Manitoba, Canada," Children and Youth Services Review, Elsevier, vol. 121(C).
  4. Constantine E. Frangakis & Donald B. Rubin & Ming-Wen An & Ellen MacKenzie, 2007. "Principal Stratification Designs to Estimate Input Data Missing Due to Death," Biometrics, The International Biometric Society, vol. 63(3), pages 641-649, September.
  5. Martin Ravallion, 2022. "On the Gains from Tradable Benefits‐in‐kind: Evidence for Workfare in India," Economica, London School of Economics and Political Science, vol. 89(355), pages 770-787, July.
  6. Rasmus Hoffmann & Hannes Kröger & Siegfried Geyer, 2019. "Social Causation Versus Health Selection in the Life Course: Does Their Relative Importance Differ by Dimension of SES?," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(3), pages 1341-1367, February.
  7. Tenglong Li & Kenneth A. Frank, 2020. "The probability of a robust inference for internal validity and its applications in regression models," Papers 2005.12784, arXiv.org.
  8. Christian Almer & Ralph Winkler, 2012. "The Effect of Kyoto Emission Targets on Domestic CO2 Emissions: A Synthetic Control Approach," Diskussionsschriften dp1202, Universitaet Bern, Departement Volkswirtschaft.
  9. Riccardo D’Alberto & Matteo Zavalloni & Meri Raggi & Davide Viaggi, 2018. "AES Impact Evaluation With Integrated Farm Data: Combining Statistical Matching and Propensity Score Matching," Sustainability, MDPI, vol. 10(11), pages 1-24, November.
  10. Emily S. Taylor Poppe, 2016. "Homeowner Representation in the Foreclosure Crisis," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 13(4), pages 809-836, December.
  11. Sachin B. Modi & David E. Cantor, 2021. "How Coopetition Influences Environmental Performance: Role of Financial Slack, Leverage, and Leanness," Production and Operations Management, Production and Operations Management Society, vol. 30(7), pages 2046-2068, July.
  12. Taylor K. Odle, 2022. "Free to Spend? Institutional Autonomy and Expenditures on Executive Compensation, Faculty Salaries, and Research Activities," Research in Higher Education, Springer;Association for Institutional Research, vol. 63(1), pages 1-32, February.
  13. Peter Abell & Ofer Engel, 2021. "Subjective Causality and Counterfactuals in the Social Sciences: Toward an Ethnographic Causality?," Sociological Methods & Research, , vol. 50(4), pages 1842-1862, November.
  14. Shonosuke Sugasawa & Hisashi Noma, 2021. "Efficient screening of predictive biomarkers for individual treatment selection," Biometrics, The International Biometric Society, vol. 77(1), pages 249-257, March.
  15. Peter McCullagh, 2008. "Sampling bias and logistic models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 70(4), pages 643-677, September.
  16. Hang Miao & Kui Zhao & Zhun Wang & Linbo Jiang & Quanhui Jia & Yanming Fang & Quan Yu, 2020. "Intelligent Credit Limit Management in Consumer Loans Based on Causal Inference," Papers 2007.05188, arXiv.org.
  17. P. Swamy & George Tavlas, 2007. "The New Keynesian Phillips Curve and Inflation Expectations: Re-Specification and Interpretation," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 31(2), pages 293-306, May.
  18. Pekkurnaz, Didem, 2023. "Causal effect of obesity on the probability of employment in women in Turkey," Economics & Human Biology, Elsevier, vol. 51(C).
  19. Anna Adamecz-Völgyi & Ágota Scharle, 2020. "Books or babies? The incapacitation effect of schooling on minority women," Journal of Population Economics, Springer;European Society for Population Economics, vol. 33(4), pages 1219-1261, October.
  20. Manuel S. González Canché, 2017. "Financial Benefits of Rapid Student Loan Repayment: An Analytic Framework Employing Two Decades of Data," The ANNALS of the American Academy of Political and Social Science, , vol. 671(1), pages 154-182, May.
  21. Simone Cremaschi & Carlo Devillanova, 2016. "Immigrants and Legal Status: Do Personal Contacts Matter?," RF Berlin - CReAM Discussion Paper Series 1629, Rockwool Foundation Berlin (RF Berlin) - Centre for Research and Analysis of Migration (CReAM).
  22. Damian Clarke & Daniel Paila~nir & Susan Athey & Guido Imbens, 2023. "Synthetic Difference In Differences Estimation," Papers 2301.11859, arXiv.org, revised Feb 2023.
  23. Peter Z. Schochet, "undated". "Statistical Theory for the RCT-YES Software: Design-Based Causal Inference for RCTs," Mathematica Policy Research Reports a0c005c003c242308a92c02dc, Mathematica Policy Research.
  24. Eric Ofori & Gabriel S Sampson & Jessie Vipham, 2019. "The effects of agricultural cooperatives on smallholder livelihoods and agricultural performance in Cambodia," Natural Resources Forum, Blackwell Publishing, vol. 43(4), pages 218-229, November.
  25. Dietrichson, Jens & Ellegård, Lina Maria, 2015. "Assist or desist? Conditional bailouts and fiscal discipline in local governments," European Journal of Political Economy, Elsevier, vol. 38(C), pages 153-168.
  26. Nath, Sanchayan & Arrawatia, Rakesh, 2022. "Trade-offs or synergies? Hybridity and sustainable performance of dairy cooperatives in India," World Development, Elsevier, vol. 154(C).
  27. Christopher Bockel-Rickermann & Sam Verboven & Tim Verdonck & Wouter Verbeke, 2023. "A Causal Perspective on Loan Pricing: Investigating the Impacts of Selection Bias on Identifying Bid-Response Functions," Papers 2309.03730, arXiv.org.
  28. Salvatore Bimonte & Antonella D’Agostino, 2021. "Tourism development and residents’ well-being: Comparing two seaside destinations in Italy," Tourism Economics, , vol. 27(7), pages 1508-1525, November.
  29. Middleton Joel A. & Aronow Peter M., 2015. "Unbiased Estimation of the Average Treatment Effect in Cluster-Randomized Experiments," Statistics, Politics and Policy, De Gruyter, vol. 6(1-2), pages 39-75, December.
  30. Necati Ertekin & Jeffrey D. Shulman & Haipeng (Allan) Chen, 2019. "On the Profitability of Stacked Discounts: Identifying Revenue and Cost Effects of Discount Framing," Marketing Science, INFORMS, vol. 38(2), pages 317-342, March.
  31. Tenglong Li & Ken Frank, 2022. "The probability of a robust inference for internal validity," Sociological Methods & Research, , vol. 51(4), pages 1947-1968, November.
  32. Vegard H ghaug Larsen & Leif Anders Thorsrud, 2018. "Business cycle narratives," Working Papers No 6/2018, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
  33. Zhu, Yajing & Steele, Fiona & Moustaki, Irini, 2020. "A multilevel structural equation model for the interrelationships between multiple latent dimensions of childhood socio‐economic circumstances, partnership transitions and mid‐life health," LSE Research Online Documents on Economics 103104, London School of Economics and Political Science, LSE Library.
  34. Yajing Zhu & Fiona Steele & Irini Moustaki, 2020. "A multilevel structural equation model for the interrelationships between multiple latent dimensions of childhood socio‐economic circumstances, partnership transitions and mid‐life health," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(3), pages 1029-1050, June.
  35. Bartolucci, Francesco & Grilli, Leonardo, 2011. "Modeling Partial Compliance Through Copulas in a Principal Stratification Framework," Journal of the American Statistical Association, American Statistical Association, vol. 106(494), pages 469-479.
  36. Foster, E. Michael & McCombs-Thornton, Kimberly, 2013. "Child welfare and the challenge of causal inference," Children and Youth Services Review, Elsevier, vol. 35(7), pages 1130-1142.
  37. Rüdiger Mutz & Tobias Wolbring & Hans-Dieter Daniel, 2017. "The effect of the “very important paper” (VIP) designation in Angewandte Chemie International Edition on citation impact: A propensity score matching analysis," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(9), pages 2139-2153, September.
  38. Cai Xiaoxuan & Loh Wen Wei & Crawford Forrest W., 2021. "Identification of causal intervention effects under contagion," Journal of Causal Inference, De Gruyter, vol. 9(1), pages 9-38, January.
  39. Jouni Kuha & John H. Goldthorpe, 2010. "Path analysis for discrete variables: the role of education in social mobility," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 173(2), pages 351-369, April.
  40. Almer, Christian & Winkler, Ralph, 2017. "Analyzing the effectiveness of international environmental policies: The case of the Kyoto Protocol," Journal of Environmental Economics and Management, Elsevier, vol. 82(C), pages 125-151.
  41. 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.
  42. Baker, Andrew C. & Larcker, David F. & Wang, Charles C.Y., 2022. "How much should we trust staggered difference-in-differences estimates?," Journal of Financial Economics, Elsevier, vol. 144(2), pages 370-395.
  43. Longford Nicholas T., 2018. "Searching For Causes Of Necrotising Enterocolitis. An Application Of Propensity Matching," Statistics in Transition New Series, Statistics Poland, vol. 19(1), pages 87-117, March.
  44. Dominik Rothenhäusler & Nicolai Meinshausen & Peter Bühlmann & Jonas Peters, 2021. "Anchor regression: Heterogeneous data meet causality," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 83(2), pages 215-246, April.
  45. Lionel Fontagn'e & Francesca Micocci & Armando Rungi, 2024. "The heterogeneous impact of the EU-Canada agreement with causal machine learning," Papers 2407.07652, arXiv.org, revised Jul 2024.
  46. Aziz Mensah, 2021. "Job Stress and Mental Well-Being among Working Men and Women in Europe: The Mediating Role of Social Support," IJERPH, MDPI, vol. 18(5), pages 1-18, March.
  47. Toon Vanderschueren & Robert Boute & Tim Verdonck & Bart Baesens & Wouter Verbeke, 2022. "Prescriptive maintenance with causal machine learning," Papers 2206.01562, arXiv.org.
  48. Jordan, Cristian & Donoso, Guillermo & Speelman, Stijn, 2021. "Measuring the effect of improved irrigation technologies on irrigated agriculture. A study case in Central Chile," Agricultural Water Management, Elsevier, vol. 257(C).
  49. Joel Barajas & Ram Akella & Marius Holtan & Aaron Flores, 2016. "Experimental Designs and Estimation for Online Display Advertising Attribution in Marketplaces," Marketing Science, INFORMS, vol. 35(3), pages 465-483, May.
  50. Ariel Boyarsky & Hongseok Namkoong & Jean Pouget-Abadie, 2023. "Modeling Interference Using Experiment Roll-out," Papers 2305.10728, arXiv.org, revised Aug 2023.
  51. Vannieuwenhuyze Jorre T.A. & Loosveldt Geert & Molenberghs Geert, 2014. "Evaluating Mode Effects in Mixed-Mode Survey Data Using Covariate Adjustment Models," Journal of Official Statistics, Sciendo, vol. 30(1), pages 1-21, March.
  52. Cottier, Fabien & Flahaux, Marie-Laurence & Ribot, Jesse & Seager, Richard & Ssekajja, Godfreyb, 2022. "Framing the frame: Cause and effect in climate-related migration," World Development, Elsevier, vol. 158(C).
  53. E. Michael Foster & Elizabeth Wiley-Exley & Leonard Bickman, 2009. "Old Wine in New Skins: The Sensitivity of Established Findings to New Methods," Evaluation Review, , vol. 33(3), pages 281-306, June.
  54. Robert S. Erikson, 2022. "Appellate court assignments as a natural experiment: Gender panel effects in sex discrimination cases," Journal of Empirical Legal Studies, John Wiley & Sons, vol. 19(2), pages 423-446, June.
  55. Joshua B. Gilbert & Zachary Himmelsbach & James Soland & Mridul Joshi & Benjamin W. Domingue, 2024. "Estimating Heterogeneous Treatment Effects with Item-Level Outcome Data: Insights from Item Response Theory," Papers 2405.00161, arXiv.org, revised Aug 2024.
  56. Li, Ting & Shi, Chengchun & Lu, Zhaohua & Li, Yi & Zhu, Hongtu, 2024. "Evaluating dynamic conditional quantile treatment effects with applications in ridesharing," LSE Research Online Documents on Economics 122488, London School of Economics and Political Science, LSE Library.
  57. Nicholas Longford, 2009. "A house price index defined in the potential outcomes framework," Economics Working Papers 1175, Department of Economics and Business, Universitat Pompeu Fabra.
  58. Daniel Kosiorowski & Jerzy P. Rydlewski, 2020. "Centrality-oriented causality. A study of EU agricultural subsidies and digital developement in Poland," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 30(3), pages 47-63.
  59. Krug, Gerhard & Dietz, Martin & Ullrich, Britta, 2008. "The impact of firm characteristics on the success of employment subsidies : a decomposition analysis of treatment effects," IAB-Discussion Paper 200818, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
  60. Yijun Li & Cheuk Hang Leung & Xiangqian Sun & Chaoqun Wang & Yiyan Huang & Xing Yan & Qi Wu & Dongdong Wang & Zhixiang Huang, 2023. "The Causal Impact of Credit Lines on Spending Distributions," Papers 2312.10388, arXiv.org.
  61. von Hinke, Stephanie & Davey Smith, George & Lawlor, Debbie A. & Propper, Carol & Windmeijer, Frank, 2016. "Genetic markers as instrumental variables," Journal of Health Economics, Elsevier, vol. 45(C), pages 131-148.
  62. Markku Maula & Wouter Stam, 2020. "Enhancing Rigor in Quantitative Entrepreneurship Research," Entrepreneurship Theory and Practice, , vol. 44(6), pages 1059-1090, November.
  63. Clark Muntean Susan, 2011. "Corporate Independent Spending in the Post-BCRA to Pre-Citizens United Era," Business and Politics, De Gruyter, vol. 13(1), pages 1-39, April.
  64. Mealli Fabrizia & Mattei Alessandra, 2012. "A Refreshing Account of Principal Stratification," The International Journal of Biostatistics, De Gruyter, vol. 8(1), pages 1-19, April.
  65. Melissa Whatley, 2024. "International Education’s Academic Benefit: Potential for Community College Virtual International Exchange," Research in Higher Education, Springer;Association for Institutional Research, vol. 65(7), pages 1647-1678, November.
  66. Robbiano, Simone, 2021. "The innovative impact of public research institutes: evidence from Italy," MPRA Paper 106386, University Library of Munich, Germany.
  67. F. Swen Kuh & Grace S. Chiu & Anton H. Westveld, 2019. "Modeling National Latent Socioeconomic Health and Examination of Policy Effects via Causal Inference," Papers 1911.00512, arXiv.org.
  68. Sanford C. Gordon & Hannah K. Simpson, 2020. "Causes, theories, and the past in political science," Public Choice, Springer, vol. 185(3), pages 315-333, December.
  69. José R. Zubizarreta, 2015. "Stable Weights that Balance Covariates for Estimation With Incomplete Outcome Data," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 110(511), pages 910-922, September.
  70. Lechner, Michael, 2008. "A note on endogenous control variables in causal studies," Statistics & Probability Letters, Elsevier, vol. 78(2), pages 190-195, February.
  71. Avdic, Daniel & Blankart, Katharina, 2021. "A Hard Look at “Soft” Cost‐control Measures in Healthcare Organizations: Evidence from Preferred Drug Policies in Germany," CINCH Working Paper Series (since 2020) 74978, Duisburg-Essen University Library, DuEPublico.
  72. Joseph B. Lang, 2023. "A Randomization P-Value Test for Detecting Copying on Multiple-Choice Exams," Journal of Educational and Behavioral Statistics, , vol. 48(3), pages 296-319, June.
  73. Tani, Massimiliano & Xu, Lei & Zhu, Yu, 2021. "The impact of an un(der)funded inclusive education policy: Evidence from the 2013 China education panel survey," Journal of Economic Behavior & Organization, Elsevier, vol. 190(C), pages 768-784.
  74. García, A., 2016. "Oaxaca-Blinder Type Counterfactual Decomposition Methods for Duration Outcomes," Documentos de Trabajo 14186, Universidad del Rosario.
  75. Hyung G. Park & Danni Wu & Eva Petkova & Thaddeus Tarpey & R. Todd Ogden, 2023. "Bayesian Index Models for Heterogeneous Treatment Effects on a Binary Outcome," Statistics in Biosciences, Springer;International Chinese Statistical Association, vol. 15(2), pages 397-418, July.
  76. Angelucci, Manuela & De Giorgi, Giacomo, 2006. "Indirect Effects of an Aid Program: The Case of Progresa and Consumption," IZA Discussion Papers 1955, Institute of Labor Economics (IZA).
  77. Anastasopoulos, Lefteris, 2016. "Estimating the gender penalty in House of Representative elections using a regression discontinuity design," MPRA Paper 71297, University Library of Munich, Germany.
  78. Angelov, Nikolay & Eliason, Marcus, 2014. "The effects of targeted labour market programs for job seekers with occupational disabilities," Working Paper Series 2014:27, IFAU - Institute for Evaluation of Labour Market and Education Policy.
  79. Hang Su & Wei Wang, 2024. "Invariant Feature Learning Based on Causal Inference from Heterogeneous Environments," Mathematics, MDPI, vol. 12(5), pages 1-23, February.
  80. Moshe Justman, 2016. "Economic Research and Education Policy: Project STAR and Class Size Reduction," Melbourne Institute Working Paper Series wp2016n37, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
  81. Kreif, N. & Grieve, R. & Díaz, I. & Harrison, D., 2014. "Health econometric evaluation of the effects of a continuous treatment: a machine learning approach," Health, Econometrics and Data Group (HEDG) Working Papers 14/19, HEDG, c/o Department of Economics, University of York.
  82. Melissa Whatley & Manuel S. González Canché, 2022. "A Robust Estimation of the Relationship Between Study Abroad and Academic Outcomes among Community College Students," Research in Higher Education, Springer;Association for Institutional Research, vol. 63(2), pages 271-308, March.
  83. Tang, Chuan & Heintzelman, Martin D. & Holsen, Thomas M., 2018. "Mercury pollution, information, and property values," Journal of Environmental Economics and Management, Elsevier, vol. 92(C), pages 418-432.
  84. Flores, Carlos A. & Flores-Lagunes, Alfonso, 2009. "Identification and Estimation of Causal Mechanisms and Net Effects of a Treatment under Unconfoundedness," IZA Discussion Papers 4237, Institute of Labor Economics (IZA).
  85. Mark Kattenberg & Bas Scheer & Jurre Thiel, 2023. "Causal forests with fixed effects for treatment effect heterogeneity in difference-in-differences," CPB Discussion Paper 452, CPB Netherlands Bureau for Economic Policy Analysis.
  86. Berger, Marius & Hottenrott, Hanna, 2021. "Start-up subsidies and the sources of venture capital," Journal of Business Venturing Insights, Elsevier, vol. 16(C).
  87. Tracy M. Sweet, 2019. "Modeling Social Networks as Mediators: A Mixed Membership Stochastic Blockmodel for Mediation," Journal of Educational and Behavioral Statistics, , vol. 44(2), pages 210-240, April.
  88. Dana Turjeman & Fred M. Feinberg, 2024. "When the Data Are Out: Measuring Behavioral Changes Following a Data Breach," Marketing Science, INFORMS, vol. 43(2), pages 440-461, March.
  89. Giorgos Bakoyannis, 2023. "Estimating optimal individualized treatment rules with multistate processes," Biometrics, The International Biometric Society, vol. 79(4), pages 2830-2842, December.
  90. Manuel S. González Canché, 2020. "Community College Students Who Attained a 4-Year Degree Accrued Lower Student Loan Debt than 4-Year Entrants Over 2 Decades: Is a 10 Percent Debt Accumulation Reduction Worth the Added “Risk”? If So, ," Research in Higher Education, Springer;Association for Institutional Research, vol. 61(7), pages 871-915, November.
  91. Deaton, Angus & Cartwright, Nancy, 2018. "Understanding and misunderstanding randomized controlled trials," Social Science & Medicine, Elsevier, vol. 210(C), pages 2-21.
  92. Chiara Di Maria & Claudio Rubino & Alessandro Albano, 2024. "The derivative-based approach to nonlinear mediation models: insights and applications," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(5), pages 4383-4405, October.
  93. Slutskin, L., 2017. "Graphical Statistical Methods for Studying Causal Effects. Bayesian Networks," Journal of the New Economic Association, New Economic Association, vol. 36(4), pages 12-30.
  94. Anderson, Brian S. & Wennberg, Karl & McMullen, Jeffery S., 2019. "Editorial: Enhancing quantitative theory-testing entrepreneurship research," Journal of Business Venturing, Elsevier, vol. 34(5), pages 1-1.
  95. Ruth T. Chepchirchir & Ibrahim Macharia & Alice W. Murage & Charles A. O. Midega & Zeyaur R. Khan, 2017. "Impact assessment of push-pull pest management on incomes, productivity and poverty among smallholder households in Eastern Uganda," Food Security: The Science, Sociology and Economics of Food Production and Access to Food, Springer;The International Society for Plant Pathology, vol. 9(6), pages 1359-1372, December.
  96. Kosiorowski Daniel & Jerzy P. Rydlewski, 2019. "Centrality-oriented Causality -- A Study of EU Agricultural Subsidies and Digital Developement in Poland," Papers 1908.11099, arXiv.org, revised Sep 2019.
  97. Jonas Peters & Peter Bühlmann & Nicolai Meinshausen, 2016. "Causal inference by using invariant prediction: identification and confidence intervals," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 78(5), pages 947-1012, November.
  98. Gregory N, Price & Bussey, Tiffany, 2024. "Can business clinics induce minority entrepreneurship? Treatment effect estimates from Atlanta and New Orleans," Journal of Business Venturing Insights, Elsevier, vol. 21(C).
  99. Swen Kuh & Grace S. Chiu & Anton H. Westveld, 2020. "Latent Causal Socioeconomic Health Index," Papers 2009.12217, arXiv.org, revised Oct 2023.
  100. Sebastian Calonico & Rafael Di Tella & Juan Cruz Lopez Del Valle, 2022. "Causal Inference During a Pandemic: Evidence on the Effectiveness of Nebulized Ibuprofen as an Unproven Treatment for COVID-19 in Argentina," NBER Working Papers 30084, National Bureau of Economic Research, Inc.
  101. Laura E. Dee & Paul J. Ferraro & Christopher N. Severen & Kaitlin A. Kimmel & Elizabeth T. Borer & Jarrett E. K. Byrnes & Adam Thomas Clark & Yann Hautier & Andrew Hector & Xavier Raynaud & Peter B. R, 2023. "Clarifying the effect of biodiversity on productivity in natural ecosystems with longitudinal data and methods for causal inference," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
  102. Michael Lechner, 2005. "A Note on Endogenous Control Variables in Evaluation Studies," University of St. Gallen Department of Economics working paper series 2005 2005-16, Department of Economics, University of St. Gallen.
  103. Johnson, Odis & Jabbari, Jason, 2022. "Infrastructure of social control: A multi-level counterfactual analysis of surveillance and Black education," Journal of Criminal Justice, Elsevier, vol. 83(C).
  104. Goldberg, Matthew H., 2019. "How often does random assignment fail? Estimates and recommendations," OSF Preprints s2j4r, Center for Open Science.
  105. Pietrzyk, Irena & Erdmann, Melinda, 2020. "Investigating the impact of interventions on educational disparities: Estimating average treatment effects (ATEs) is not sufficient," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 65, pages 1-1.
  106. Peter Z. Schochet, 2021. "Statistical Power for Estimating Treatment Effects Using Difference-in-Differences and Comparative Interrupted Time Series Designs with Variation in Treatment Timing," Papers 2102.06770, arXiv.org, revised Oct 2021.
  107. Felder, Rahel & Frings, Hanna & Mittag, Nikolas, 2024. "How Does Potential Unemployment Insurance Benefit Duration Affect Reemployment Timing and Wages?," IZA Discussion Papers 17348, Institute of Labor Economics (IZA).
  108. Sunil Mithas & M. S. Krishnan, 2009. "From Association to Causation via a Potential Outcomes Approach," Information Systems Research, INFORMS, vol. 20(2), pages 295-313, June.
  109. Helmut Wasserbacher & Martin Spindler, 2021. "Machine Learning for Financial Forecasting, Planning and Analysis: Recent Developments and Pitfalls," Papers 2107.04851, arXiv.org.
  110. Vivian C. Wong & Peter M. Steiner & Kylie L. Anglin, 2018. "What Can Be Learned From Empirical Evaluations of Nonexperimental Methods?," Evaluation Review, , vol. 42(2), pages 147-175, April.
  111. Davidson, Marty, 2024. "Strategic Point Processes," OSF Preprints g5r9t, Center for Open Science.
  112. Jad Beyhum & Jean-Pierre Florens & Ingrid Van Keilegom, 2021. "A nonparametric instrumental approach to endogeneity in competing risks models," Papers 2105.00946, arXiv.org.
  113. Martin Hodula & Lukas Pfeifer & Ngoc Anh Ngo, 2023. "Easing of Borrower-Based Measures: Evidence from Czech Loan-Level Data," Working Papers 2023/18, Czech National Bank.
  114. Fareed Ul Hassan & Syed Abdul Waheed & Nadia Gilani, 2019. "Teachers Perspectives on Headteachers Mistreatment: Exploring the other Side of the Coin," Global Regional Review, Humanity Only, vol. 4(4), pages 350-359, December.
  115. Roth, Alexander & Schmidt, Felix, 2023. "Not only a mild winter: German consumers change their behavior to save natural gas," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 7(6), pages 1081-1086.
  116. Harsh Parikh & Cynthia Rudin & Alexander Volfovsky, 2018. "MALTS: Matching After Learning to Stretch," Papers 1811.07415, arXiv.org, revised Jun 2023.
  117. Luis Costa & Vivek F. Farias & Patricio Foncea & Jingyuan (Donna) Gan & Ayush Garg & Ivo Rosa Montenegro & Kumarjit Pathak & Tianyi Peng & Dusan Popovic, 2023. "Generalized Synthetic Control for TestOps at ABI: Models, Algorithms, and Infrastructure," Interfaces, INFORMS, vol. 53(5), pages 336-349, September.
  118. Martin Hodula & Milan Szabo & Lukas Pfeifer & Martin Melecky, 2022. "Cooling the Mortgage Loan Market: The Effect of Recommended Borrower-Based Limits on New Mortgage Lending," Working Papers 2022/3, Czech National Bank.
  119. Juraj Bodik, 2024. "Extreme Treatment Effect: Extrapolating Dose-Response Function into Extreme Treatment Domain," Mathematics, MDPI, vol. 12(10), pages 1-36, May.
  120. Keli Liu & Xiao-Li Meng, 2014. "Comment: A Fruitful Resolution to Simpson's Paradox via Multiresolution Inference," The American Statistician, Taylor & Francis Journals, vol. 68(1), pages 17-29, February.
  121. Sookyo Jeong & Hongseok Namkoong, 2020. "Assessing External Validity Over Worst-case Subpopulations," Papers 2007.02411, arXiv.org, revised Feb 2022.
  122. Helmut Wasserbacher & Martin Spindler, 2022. "Machine learning for financial forecasting, planning and analysis: recent developments and pitfalls," Digital Finance, Springer, vol. 4(1), pages 63-88, March.
  123. Ozden Gur Ali & Angi Nazih Ghanem & Bedirhan Ustun, 2020. "Estimating the potential impact of behavioral public health interventions nationally while maintaining agreement with global patterns on relative risks," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-21, May.
  124. Lusi Yang & Zhiyi Wang & Jungpil Hahn, 2020. "Scarcity Strategy in Crowdfunding: An Empirical Exploration of Reward Limits," Information Systems Research, INFORMS, vol. 31(4), pages 1107-1131, December.
  125. Justman, Moshe, 2018. "Randomized controlled trials informing public policy: Lessons from project STAR and class size reduction," European Journal of Political Economy, Elsevier, vol. 54(C), pages 167-174.
  126. Kaichen Zhang & Zixuan Yuan & Hui Xiong, 2023. "The Impact of Generative Artificial Intelligence on Market Equilibrium: Evidence from a Natural Experiment," Papers 2311.07071, arXiv.org, revised Oct 2024.
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