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Causal Inference Using Potential Outcomes: Design, Modeling, Decisions

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  • Donald B. Rubin
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    Article provided by American Statistical Association in its journal Journal of the American Statistical Association.

    Volume (Year): 100 (2005)
    Issue (Month): (March)
    Pages: 322-331

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    Handle: RePEc:bes:jnlasa:v:100:y:2005:p:322-331

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    Cited by:
    1. Leandro De Magalhães, 2014. "Incumbency Effects in a Comparative Perspective: Evidence from Brazilian Mayoral Elections," Bristol Economics Discussion Papers 14/643, Department of Economics, University of Bristol, UK.
    2. 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 for the Study of Labor (IZA).
    3. Jens Dietrichson & Lina Maria Ellegård, 2013. "Assist or desist? Conditional bailouts and fiscal discipline in local governments," ERSA conference papers ersa13p598, European Regional Science Association.
    4. 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.
    5. Michael Lechner & Ruth Miquel, 2010. "Identification of the effects of dynamic treatments by sequential conditional independence assumptions," Empirical Economics, Springer, vol. 39(1), pages 111-137, August.
    6. 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.
    7. Michael Lechner, 2006. "The Relation of Different Concepts of Causality in Econometrics," University of St. Gallen Department of Economics working paper series 2006 2006-15, Department of Economics, University of St. Gallen.
    8. VanderWeele, Tyler J., 2008. "Simple relations between principal stratification and direct and indirect effects," Statistics & Probability Letters, Elsevier, vol. 78(17), pages 2957-2962, December.
    9. 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].
    10. 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.
    11. 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.
    12. Wunder, Christoph & Schwarze, Johannes, 2009. "Is Posner Right? An Empirical Test of the Posner Argument for Transferring Health Spending from Old Women to Old Men," IZA Discussion Papers 4485, Institute for the Study of Labor (IZA).
    13. Carlos A. Flores & Alfonso Flores-Lagunes, 2007. "Identification and Estimation of Casual Mechanisms and Net Effects of a Treatment," Working Papers 0706, University of Miami, Department of Economics.
    14. Bartolucci, Francesco & Grilli, Leonardo & Pieroni, Luca, 2012. "Estimating dynamic causal effects with unobserved confounders: a latent class version of the inverse probability weighted estimator," MPRA Paper 43430, University Library of Munich, Germany.
    15. Lechner, Michael, 2008. "A note on endogenous control variables in causal studies," Statistics & Probability Letters, Elsevier, vol. 78(2), pages 190-195, February.

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