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Experimental designs for identifying causal mechanisms

Citations

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Cited by:

  1. Wunsch, Conny & Strobl, Renate, 2018. "Identification of causal mechanisms based on between-subject double randomization designs," CEPR Discussion Papers 13028, C.E.P.R. Discussion Papers.
  2. Katharina Dowling & Daniel Guhl & Daniel Klapper & Martin Spann & Lucas Stich & Narine Yegoryan, 2020. "Behavioral biases in marketing," Journal of the Academy of Marketing Science, Springer, vol. 48(3), pages 449-477, May.
  3. Andres, Maximilian & Bruttel, Lisa & Friedrichsen, Jana, 2023. "How communication makes the difference between a cartel and tacit collusion: A machine learning approach," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 152, pages 1-1.
  4. Viviana Celli, 2019. "Causal Mediation Analysis in Economics: objectives, assumptions, models," Working Papers 12/19, Sapienza University of Rome, DISS.
  5. Steen, Johan & Loeys, Tom & Moerkerke, Beatrijs & Vansteelandt, Stijn, 2017. "medflex: An R Package for Flexible Mediation Analysis using Natural Effect Models," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 76(i11).
  6. Amasino, Dianna R. & Pace, Davide Domenico & van der Weele, Joël, 2023. "Self-serving bias in redistribution choices: Accounting for beliefs and norms," Journal of Economic Psychology, Elsevier, vol. 98(C).
  7. Cammelli, Federico & Angelsen, Arild, 2019. "Amazonian farmers' response to fire policies and climate change," Ecological Economics, Elsevier, vol. 165(C), pages 1-1.
  8. Jaffer M. Zaidi & Tyler J. VanderWeele, 2021. "On the identification of individual level pleiotropic, pure direct, and principal stratum direct effects without cross world assumptions," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 48(3), pages 881-907, September.
  9. Martin Huber, 2015. "Causal Pitfalls in the Decomposition of Wage Gaps," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 33(2), pages 179-191, April.
  10. Acharya, Avidit & Blackwell, Matthew & Sen, Maya, 2016. "Explaining Causal Findings Without Bias: Detecting and Assessing Direct Effects," American Political Science Review, Cambridge University Press, vol. 110(3), pages 512-529, August.
  11. Markus Frölich & Martin Huber, 2017. "Direct and indirect treatment effects–causal chains and mediation analysis with instrumental variables," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 79(5), pages 1645-1666, November.
  12. Ahrens, Steffen & Bosch-Rosa, Ciril, 2022. "Motivated beliefs, social preferences, and limited liability in financial decision-making," Discussion Papers 2022/8, Free University Berlin, School of Business & Economics.
  13. Eibich, Peter & Goldzahl, Léontine, 2020. "Health information provision, health knowledge and health behaviours: Evidence from breast cancer screening," Social Science & Medicine, Elsevier, vol. 265(C).
  14. Maximilian Andres & Lisa Bruttel & Jana Friedrichsen, 2020. "Choosing between explicit cartel formation and tacit collusion – An experiment," CEPA Discussion Papers 19, Center for Economic Policy Analysis.
  15. Brent J. Davis & Tarek Jaber‐Lopez, 2023. "Do voluntary commitment mechanisms improve welfare? The effect of mandatory and voluntary oaths in a social dilemma," Bulletin of Economic Research, Wiley Blackwell, vol. 75(2), pages 525-540, April.
  16. Ottoboni Kellie N. & Poulos Jason V., 2020. "Estimating population average treatment effects from experiments with noncompliance," Journal of Causal Inference, De Gruyter, vol. 8(1), pages 108-130, January.
  17. Kate Baldwin & Rikhil R. Bhavnani, 2013. "Ancillary Experiments: Opportunities and Challenges," WIDER Working Paper Series wp-2013-024, World Institute for Development Economic Research (UNU-WIDER).
  18. Kara E. Rudolph & Iván Díaz, 2022. "When the ends do not justify the means: Learning who is predicted to have harmful indirect effects," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(S2), pages 573-589, December.
  19. Shiqi Fang & Zexun Chen & Jake Ansell, 2024. "Peer-induced Fairness: A Causal Approach for Algorithmic Fairness Auditing," Papers 2408.02558, arXiv.org, revised Sep 2024.
  20. Baldwin, Kate & Bhavnani, Rikhil R., 2013. "Ancillary Experiments: Opportunities and Challenges," WIDER Working Paper Series 024, World Institute for Development Economic Research (UNU-WIDER).
  21. Felfe, Christina & Kocher, Martin G. & Rainer, Helmut & Saurer, Judith & Siedler, Thomas, 2021. "More opportunity, more cooperation? The behavioral effects of birthright citizenship on immigrant youth," Journal of Public Economics, Elsevier, vol. 200(C).
  22. Ahrens, Steffen & Bosch-Rosa, Ciril, 2023. "Motivated beliefs, social preferences, and limited liability in financial decision-Making," Journal of Banking & Finance, Elsevier, vol. 154(C).
  23. Islam, Asad & Lee, Wang-Sheng & Nicholas, Aaron, 2021. "The Effects of Chess Instruction on Academic and Non-cognitive Outcomes: Field Experimental Evidence from a Developing Country," Journal of Development Economics, Elsevier, vol. 150(C).
  24. Jing Peng, 2023. "Identification of Causal Mechanisms from Randomized Experiments: A Framework for Endogenous Mediation Analysis," Information Systems Research, INFORMS, vol. 34(1), pages 67-84, March.
  25. Viviana Celli, 2022. "Causal mediation analysis in economics: Objectives, assumptions, models," Journal of Economic Surveys, Wiley Blackwell, vol. 36(1), pages 214-234, February.
  26. Baldwin Kate & Bhavnani Rikhil R., 2015. "Ancillary Studies of Experiments: Opportunities and Challenges," Journal of Globalization and Development, De Gruyter, vol. 6(1), pages 113-146, June.
  27. Huber, Martin, 2012. "Identifying causal mechanisms in experiments (primarily) based on inverse probability weighting," Economics Working Paper Series 1213, University of St. Gallen, School of Economics and Political Science, revised May 2013.
  28. Isabel R. Fulcher & Ilya Shpitser & Vanessa Didelez & Kali Zhou & Daniel O. Scharfstein, 2021. "Discussion on “Causal mediation of semicompeting risks” by Yen‐Tsung Huang," Biometrics, The International Biometric Society, vol. 77(4), pages 1165-1169, December.
  29. Michela Baccini & Alessandra Mattei & Fabrizia Mealli, 2015. "Bayesian inference for causal mechanisms with application to a randomized study for postoperative pain control," Econometrics Working Papers Archive 2015_06, Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti".
  30. Huang, Li & Whitson, Jennifer, 2020. "Organizational costs of compensating for mind-body dissonance through conspiracies and superstitions," Organizational Behavior and Human Decision Processes, Elsevier, vol. 156(C), pages 1-12.
  31. Gay, Victor & Boehnke, Jörn, 2017. "The Missing Men: World War I and Female Labor Participation," MPRA Paper 77560, University Library of Munich, Germany.
  32. Paul Frijters & Asad Islam & Chitwan Lalji & Debayan Pakrashi, 2019. "Roommate effects in health outcomes," Health Economics, John Wiley & Sons, Ltd., vol. 28(8), pages 998-1034, August.
  33. Amaro Da Costa Luz Carneiro,Pedro Manuel & Cruz-Aguayo,Yyannu & Intriago,Ruthy & Ponce,Juan & Schady,Norbert Rudiger & Schodt,Sarah, 2022. "When Promising Interventions Fail : Personalized Coaching for Teachers in a Middle-Income Country," Policy Research Working Paper Series 9926, The World Bank.
  34. Carpena, Fenella & Zia, Bilal, 2020. "The causal mechanism of financial education: Evidence from mediation analysis," Journal of Economic Behavior & Organization, Elsevier, vol. 177(C), pages 143-184.
  35. Bonneau, Joseph, 2022. "From Anti-Corruption to Economics: An Extension of Tsai et al. (2021)," I4R Discussion Paper Series 7, The Institute for Replication (I4R).
  36. Evan Munro & David Jones & Jennifer Brennan & Roland Nelet & Vahab Mirrokni & Jean Pouget-Abadie, 2023. "Causal Estimation of User Learning in Personalized Systems," Papers 2306.00485, arXiv.org.
  37. Bakaki, Zorzeta & Dorussen, Han, 2023. "Trust in peacebuilding organizations: A survey experiment in Haiti," World Development, Elsevier, vol. 172(C).
  38. Bora Kim, 2022. "On the Use of Instrumental Variables in Mediation Analysis," Papers 2201.12752, arXiv.org.
  39. Manu Navjeevan & Rodrigo Pinto & Andres Santos, 2023. "Identification and Estimation in a Class of Potential Outcomes Models," Papers 2310.05311, arXiv.org.
  40. Eva Deuchert & Martin Huber & Mark Schelker, 2019. "Direct and Indirect Effects Based on Difference-in-Differences With an Application to Political Preferences Following the Vietnam Draft Lottery," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(4), pages 710-720, October.
  41. Alexandra de Gendre & Nicolás Salamanca, 2020. "On the Mechanisms of Ability Peer Effects," Melbourne Institute Working Paper Series wp2020n19, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
  42. Tingley, Dustin & Yamamoto, Teppei & Hirose, Kentaro & Keele, Luke & Imai, Kosuke, 2014. "mediation: R Package for Causal Mediation Analysis," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 59(i05).
  43. Andres, Maximilian & Bruttel, Lisa & Friedrichsen, Jana, 2021. "How do sanctions work? The choice between cartel formation and tacit collusion," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242372, Verein für Socialpolitik / German Economic Association.
  44. Collewaert, Veroniek & Vanacker, Tom & Anseel, Frederik & Bourgois, Dries, 2021. "The sandwich game: Founder-CEOs and forecasting as impression management," Journal of Business Venturing, Elsevier, vol. 36(1).
  45. Breda, Thomas & Grenet, Julien & Monnet, Marion & Van Effenterre, Clémentine, 2020. "Do Female Role Models Reduce the Gender Gap in Science? Evidence from French High Schools," IZA Discussion Papers 13163, Institute of Labor Economics (IZA).
  46. Mathew, Nanditha & Napolitano, Lorenzo & Rizzo, Ugo, 2020. "The role of domestic-firm knowledge in foreign R&D collaborations: Evidence from co-patenting in Indian firms," MERIT Working Papers 2020-044, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
  47. Martin Huber, 2016. "Disentangling policy effects into causal channels," IZA World of Labor, Institute of Labor Economics (IZA), pages 259-259, May.
  48. Adam C. Sales, 2017. "Review," Journal of Educational and Behavioral Statistics, , vol. 42(1), pages 69-84, February.
  49. Nicholas Weller & Jeb Barnes, 2016. "Pathway Analysis and the Search for Causal Mechanisms," Sociological Methods & Research, , vol. 45(3), pages 424-457, August.
  50. Kirk, Colleen P., 2019. "Dogs have masters, cats have staff: Consumers' psychological ownership and their economic valuation of pets," Journal of Business Research, Elsevier, vol. 99(C), pages 306-318.
  51. Krafft, Manfred & Goetz, Oliver & Mantrala, Murali & Sotgiu, Francesca & Tillmanns, Sebastian, 2015. "The Evolution of Marketing Channel Research Domains and Methodologies: An Integrative Review and Future Directions," Journal of Retailing, Elsevier, vol. 91(4), pages 569-585.
  52. Ward, Jeffrey T. & Hartley, Richard D. & Tillyer, Rob, 2016. "Unpacking gender and racial/ethnic biases in the federal sentencing of drug offenders: A causal mediation approach," Journal of Criminal Justice, Elsevier, vol. 46(C), pages 196-206.
  53. repec:hhs:ifauwp:2025_012 is not listed on IDEAS
  54. Juan Palacios & Piet Eichholtz & Nils Kok, 2020. "Moving to productivity: The benefits of healthy buildings," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-17, August.
  55. Guanglei Hong & Jonah Deutsch & Heather D. Hill, 2013. "Ratio-of-Mediator-Probability Weighting for Causal Mediation Analysis in the Presence of Treatment-by-Mediator Interaction," Working Papers 2013-009, Human Capital and Economic Opportunity Working Group.
  56. Robert B. Lount & Oliver J. Sheldon & Floor Rink & Katherine W. Phillips, 2015. "Biased Perceptions of Racially Diverse Teams and Their Consequences for Resource Support," Organization Science, INFORMS, vol. 26(5), pages 1351-1364, October.
  57. Kellie Ottoboni & Jason Poulos, 2019. "Estimating population average treatment effects from experiments with noncompliance," Papers 1901.02991, arXiv.org, revised Aug 2020.
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