[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/p/ces/ceswps/_7142.html
   My bibliography  Save this paper

Identification of Causal Mechanisms Based on Between-Subject Double Randomization Design

Author

Listed:
  • Conny Wunsch
  • Renate Strobl
Abstract
Understanding the mechanisms through which treatment effects come about is crucial for designing effective interventions. The identification of such causal mechanisms is challenging and typically requires strong assumptions. This paper discusses identification and estimation of natural direct and indirect effects in so-called double randomization designs that combine two experiments. The first and main experiment randomizes the treatment and measures its effect on the mediator and the outcome of interest. A second auxiliary experiment randomizes the mediator of interest and measures its effect on the outcome. We show that such designs allow for identification based on an assumption that is weaker than the assumption of sequential ignorability that is typically made in the literature. It allows for unobserved confounders that do not cause heterogeneous mediator effects. We demonstrate estimation of direct and indirect effects based on different identification strategies that we compare to our approach using data from a laboratory experiment we conducted in Kenya.

Suggested Citation

  • Conny Wunsch & Renate Strobl, 2018. "Identification of Causal Mechanisms Based on Between-Subject Double Randomization Design," CESifo Working Paper Series 7142, CESifo.
    • Handle: RePEc:ces:ceswps:_7142
    as

    Download full text from publisher

    File URL: https://www.cesifo.org/DocDL/cesifo1_wp7142.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. 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.
    2. Catherine C. Eckel & Philip J. Grossman, 2002. "Sex Differences and Statistical Stereotyping in Attitudes Toward Financial Risk," Monash Economics Working Papers archive-03, Monash University, Department of Economics.
    3. 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.
    4. Luigi Guiso & Paola Sapienza & Luigi Zingales, 2004. "The Role of Social Capital in Financial Development," American Economic Review, American Economic Association, vol. 94(3), pages 526-556, June.
    5. Dean S. Karlan, 2005. "Using Experimental Economics to Measure Social Capital and Predict Financial Decisions," American Economic Review, American Economic Association, vol. 95(5), pages 1688-1699, December.
    6. Renate Strobl & Conny Wunsch, 2017. "Does Voluntary Risk Taking Affect Solidarity? Experimental Evidence from Kenya," CESifo Working Paper Series 6578, CESifo.
    7. Dean Karlan & Jonathan Zinman, 2009. "Observing Unobservables: Identifying Information Asymmetries With a Consumer Credit Field Experiment," Econometrica, Econometric Society, vol. 77(6), pages 1993-2008, November.
    8. Ted Joyce & Dahlia K. Remler & David A. Jaeger & Onur Altindag & Stephen D. O'Connell & Sean Crockett, 2017. "On Measuring and Reducing Selection Bias With a Quasi‐Doubly Randomized Preference Trial," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 36(2), pages 438-459, March.
    9. Martin Huber, 2014. "Identifying Causal Mechanisms (Primarily) Based On Inverse Probability Weighting," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(6), pages 920-943, September.
    10. Imai, Kosuke & Keele, Luke & Tingley, Dustin & Yamamoto, Teppei, 2011. "Unpacking the Black Box of Causality: Learning about Causal Mechanisms from Experimental and Observational Studies," American Political Science Review, Cambridge University Press, vol. 105(4), pages 765-789, November.
    11. Xavier Giné & Pamela Jakiela & Dean Karlan & Jonathan Morduch, 2010. "Microfinance Games," American Economic Journal: Applied Economics, American Economic Association, vol. 2(3), pages 60-95, July.
    12. Long, Qi & Little, Roderick J. & Lin, Xihong, 2008. "Causal Inference in Hybrid Intervention Trials Involving Treatment Choice," Journal of the American Statistical Association, American Statistical Association, vol. 103, pages 474-484, June.
    13. 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).
    14. Acemoglu,Daron & Arellano,Manuel & Dekel,Eddie (ed.), 2013. "Advances in Economics and Econometrics," Cambridge Books, Cambridge University Press, number 9781107016064, September.
    15. Pedro Dal Bo & Andrew Foster & Louis Putterman, 2010. "Institutions and Behavior: Experimental Evidence on the Effects of Democracy," American Economic Review, American Economic Association, vol. 100(5), pages 2205-2229, December.
    16. Conny Wunsch & Renate Strobl, 2018. "Risky Choices and Solidarity: Why Experimental Design Matters," CESifo Working Paper Series 7125, CESifo.
    17. Acemoglu,Daron & Arellano,Manuel & Dekel,Eddie (ed.), 2013. "Advances in Economics and Econometrics," Cambridge Books, Cambridge University Press, number 9781107627314, September.
    18. Matias Busso & John DiNardo & Justin McCrary, 2014. "New Evidence on the Finite Sample Properties of Propensity Score Reweighting and Matching Estimators," The Review of Economics and Statistics, MIT Press, vol. 96(5), pages 885-897, December.
    19. Acemoglu,Daron & Arellano,Manuel & Dekel,Eddie (ed.), 2013. "Advances in Economics and Econometrics," Cambridge Books, Cambridge University Press, number 9781107016040, September.
    20. 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.
    21. Newey, Whitney K., 1984. "A method of moments interpretation of sequential estimators," Economics Letters, Elsevier, vol. 14(2-3), pages 201-206.
    22. Janevic, Mary R. & Janz, Nancy K. & Dodge, Julia A. & Lin, Xihong & Pan, Wenqin & Sinco, Brandy R. & Clark, Noreen M., 2003. "The role of choice in health education intervention trials: a review and case study," Social Science & Medicine, Elsevier, vol. 56(7), pages 1581-1594, April.
    23. Lechner, Michael, 1995. "Some Specification Tests for Probit Models Estimated on Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(4), pages 475-488, October.
    24. Acemoglu,Daron & Arellano,Manuel & Dekel,Eddie (ed.), 2013. "Advances in Economics and Econometrics," Cambridge Books, Cambridge University Press, number 9781107638105, September.
    25. Hsu Yu-Chin & Huber Martin & Lai Tsung-Chih, 2019. "Nonparametric estimation of natural direct and indirect effects based on inverse probability weighting," Journal of Econometric Methods, De Gruyter, vol. 8(1), pages 1-20, January.
    26. repec:pri:rpdevs:gamespaper.pdf is not listed on IDEAS
    27. Eva Deuchert & Conny Wunsch, 2014. "Evaluating nationwide health interventions: Malawi's insecticide-treated-net distribution programme," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 177(2), pages 523-552, February.
    28. Shadish, William R. & Clark, M. H. & Steiner, Peter M., 2008. "Can Nonrandomized Experiments Yield Accurate Answers? A Randomized Experiment Comparing Random and Nonrandom Assignments," Journal of the American Statistical Association, American Statistical Association, vol. 103(484), pages 1334-1344.
    29. Acemoglu,Daron & Arellano,Manuel & Dekel,Eddie (ed.), 2013. "Advances in Economics and Econometrics," Cambridge Books, Cambridge University Press, number 9781107016057, September.
    30. Sloczynski, Tymon, 2018. "A General Weighted Average Representation of the Ordinary and Two-Stage Least Squares Estimands," IZA Discussion Papers 11866, Institute of Labor Economics (IZA).
    31. Aronow, Peter M. & Carnegie, Allison, 2013. "Beyond LATE: Estimation of the Average Treatment Effect with an Instrumental Variable," Political Analysis, Cambridge University Press, vol. 21(4), pages 492-506.
    32. Huber, Martin & Lechner, Michael & Wunsch, Conny, 2013. "The performance of estimators based on the propensity score," Journal of Econometrics, Elsevier, vol. 175(1), pages 1-21.
    33. Acemoglu,Daron & Arellano,Manuel & Dekel,Eddie (ed.), 2013. "Advances in Economics and Econometrics," Cambridge Books, Cambridge University Press, number 9781107674165, September.
    34. Narayan, Deepa & Pritchett, Lant, 1999. "Cents and Sociability: Household Income and Social Capital in Rural Tanzania," Economic Development and Cultural Change, University of Chicago Press, vol. 47(4), pages 871-897, July.
    35. GlennW. Harrison & StevenJ. Humphrey & Arjan Verschoor, 2010. "Choice under Uncertainty: Evidence from Ethiopia, India and Uganda," Economic Journal, Royal Economic Society, vol. 120(543), pages 80-104, March.
    36. Guido W. Imbens, 2004. "Nonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 4-29, February.
    37. Gollier, Christian & Pratt, John W, 1996. "Risk Vulnerability and the Tempering Effect of Background Risk," Econometrica, Econometric Society, vol. 64(5), pages 1109-1123, September.
    38. Kosuke Imai & Dustin Tingley & Teppei Yamamoto, 2013. "Experimental designs for identifying causal mechanisms," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 176(1), pages 5-51, January.
    39. Joshua Angrist & Ivan Fernandez-Val, 2010. "ExtrapoLATE-ing: External Validity and Overidentification in the LATE Framework," NBER Working Papers 16566, National Bureau of Economic Research, Inc.
    40. Martin Huber & Michael Lechner & Giovanni Mellace, 2017. "Why Do Tougher Caseworkers Increase Employment? The Role of Program Assignment as a Causal Mechanism," The Review of Economics and Statistics, MIT Press, vol. 99(1), pages 180-183, March.
    41. Urs Fischbacher, 2007. "z-Tree: Zurich toolbox for ready-made economic experiments," Experimental Economics, Springer;Economic Science Association, vol. 10(2), pages 171-178, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Strobl, Renate, 2022. "Background risk, insurance and investment behaviour: Experimental evidence from Kenya," Journal of Economic Behavior & Organization, Elsevier, vol. 202(C), pages 34-68.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Strobl, Renate & Wunsch, Conny, 2018. "Risky Choices and Solidarity: Why Experimental Design Matters," Working papers 2018/17, Faculty of Business and Economics - University of Basel.
    2. Strobl, Renate & Wunsch, Conny, 2017. "Does Voluntary Risk Taking Affect Solidarity? Experimental Evidence from Kenya," IZA Discussion Papers 10906, Institute of Labor Economics (IZA).
    3. Renate Strobl & Conny Wunsch, 2021. "Risky choices and solidarity: disentangling different behavioural channels," Experimental Economics, Springer;Economic Science Association, vol. 24(4), pages 1185-1214, December.
    4. De Filippis, Roberta & Guarino, Antonio & Jehiel, Philippe & Kitagawa, Toru, 2022. "Non-Bayesian updating in a social learning experiment," Journal of Economic Theory, Elsevier, vol. 199(C).
    5. Özalp Özer & Upender Subramanian & Yu Wang, 2018. "Information Sharing, Advice Provision, or Delegation: What Leads to Higher Trust and Trustworthiness?," Management Science, INFORMS, vol. 64(1), pages 474-493, January.
    6. Gottardi, Piero & Meléndez-Jiménez, Miguel A. & Feri, Francesco, 2016. "Can there be a market for cheap-talk information? Some experimental evidence," CEPR Discussion Papers 11206, C.E.P.R. Discussion Papers.
    7. Cabrales, Antonio & Feri, Francesco & Gottardi, Piero & Meléndez-Jiménez, Miguel A., 2020. "Can there be a market for cheap-talk information? An experimental investigation," Games and Economic Behavior, Elsevier, vol. 121(C), pages 368-381.
    8. Silvia Dominguez Martinez & Randolph Sloof, 2016. "Communication versus (Restricted) Delegation: An Experimental Comparison," Tinbergen Institute Discussion Papers 16-050/VII, Tinbergen Institute.
    9. Robin Cubitt & Gijs van de Kuilen & Sujoy Mukerji, 2020. "Discriminating Between Models of Ambiguity Attitude: a Qualitative Test," Journal of the European Economic Association, European Economic Association, vol. 18(2), pages 708-749.
    10. Florian H. Schneider & Martin Schonger, 2019. "An Experimental Test of the Anscombe–Aumann Monotonicity Axiom," Management Science, INFORMS, vol. 65(4), pages 1667-1677, April.
    11. Berger, Loïc & Bosetti, Valentina, 2020. "Characterizing ambiguity attitudes using model uncertainty," Journal of Economic Behavior & Organization, Elsevier, vol. 180(C), pages 621-637.
    12. Chen, Xuan & Flores, Carlos A. & Flores-Lagunes, Alfonso, 2015. "Going Beyond LATE: Bounding Average Treatment Effects of Job Corps Training," IZA Discussion Papers 9511, Institute of Labor Economics (IZA).
    13. Antonio Gabrales & Francesco Feri & Piero Gottardi & Miguel A. Meléndez-Jiménez & Antonio Cabrales, 2021. "Communication and Social Preferences: An Experimental Analysis," CESifo Working Paper Series 8850, CESifo.
    14. Sanchez Villalba, Miguel, 2015. "Global inspection games," Journal of Public Economics, Elsevier, vol. 128(C), pages 59-72.
    15. Gary E. Bolton & David J. Kusterer & Johannes Mans, 2015. "Inflated reputations: Uncertainty, leniency & moral wiggle room in trader feedback systems," Cologne Graduate School Working Paper Series 06-04, Cologne Graduate School in Management, Economics and Social Sciences, revised 29 Jul 2016.
    16. Robin Cubitt & Gijs Kuilen & Sujoy Mukerji, 2018. "The strength of sensitivity to ambiguity," Theory and Decision, Springer, vol. 85(3), pages 275-302, October.
    17. Ertac, Seda & Koçkesen, Levent & Ozdemir, Duygu, 2016. "The role of verifiability and privacy in the strategic provision of performance feedback: Theory and experimental evidence," Games and Economic Behavior, Elsevier, vol. 100(C), pages 24-45.
    18. Viviana Celli, 2022. "Causal mediation analysis in economics: Objectives, assumptions, models," Journal of Economic Surveys, Wiley Blackwell, vol. 36(1), pages 214-234, February.
    19. Boris Kaiser & Christian Schmid, 2016. "Does Physician Dispensing Increase Drug Expenditures? Empirical Evidence from Switzerland," Health Economics, John Wiley & Sons, Ltd., vol. 25(1), pages 71-90, January.
    20. Yan Ji & Songyuan Teng & Robert Townsend, 2021. "Dynamic Bank Expansion: Spatial Growth, Financial Access, and Inequality," NBER Working Papers 28582, National Bureau of Economic Research, Inc.

    More about this item

    Keywords

    direct and indirect effects; causal inference; mediation analysis; identification;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ces:ceswps:_7142. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Klaus Wohlrabe (email available below). General contact details of provider: https://edirc.repec.org/data/cesifde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.