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Nonparametric analysis of treatment effects in ordered response models

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  • Stefan Boes

Abstract

Treatment analyses based on average outcomes do not immediately generalize to the case of ordered responses because the expectation of an ordinally measured variable does not exist. The proposed remedy in this paper is a shift in focus to distributional effects. Assuming a threshold crossing model on both the ordered potential outcomes and the binary treatment variable, and leaving the distribution of error terms and functional forms unspecified, the paper discusses how the treatment effects can be bounded. The construction of bounds is illustrated in a simulated data example. Copyright Springer-Verlag 2013

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  • Stefan Boes, 2013. "Nonparametric analysis of treatment effects in ordered response models," Empirical Economics, Springer, vol. 44(1), pages 81-109, February.
    • Handle: RePEc:spr:empeco:v:44:y:2013:i:1:p:81-109
    DOI: 10.1007/s00181-010-0354-y
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    Cited by:

    1. Bernd Fitzenberger & Michael Lechner & Jeffrey Smith, 2013. "Estimation of treatment effects: recent developments and applications," Empirical Economics, Springer, vol. 44(1), pages 1-11, February.
    2. Donja Darai & Dario Sacco & Armin Schmutzler, 2010. "Competition and innovation: an experimental investigation," Experimental Economics, Springer;Economic Science Association, vol. 13(4), pages 439-460, December.
    3. Dennis L. Gärtner, 2010. "Monopolistic screening under learning by doing," RAND Journal of Economics, RAND Corporation, vol. 41(3), pages 574-597, September.
    4. Stefanie Hof, 2014. "Does private tutoring work? The effectiveness of private tutoring: a nonparametric bounds analysis," Education Economics, Taylor & Francis Journals, vol. 22(4), pages 347-366, August.
    5. Johannes Schoder & Peter Zweifel, 2008. "Managed Care Konzepte und L�sungsans�tze� Ein internationaler Vergleich aus schweizerischer Sicht," SOI - Working Papers 0801, Socioeconomic Institute - University of Zurich.
    6. Vaidya, Shalvaree, 2021. "The impact of premium subsidies on health plan choices in Switzerland: Who responds to the incentives set by in-kind as opposed to cash transfers?," Health Policy, Elsevier, vol. 125(6), pages 675-684.
    7. William Greene, 2014. "Models for ordered choices," Chapters, in: Stephane Hess & Andrew Daly (ed.), Handbook of Choice Modelling, chapter 15, pages 333-362, Edward Elgar Publishing.
    8. Falkinger, Josef, 2008. "Between Agora and Shopping Mall," IZA Discussion Papers 3524, Institute of Labor Economics (IZA).
    9. Halbheer, Daniel & Fehr, Ernst & Goette, Lorenz & Schmutzler, Armin, 2009. "Self-reinforcing market dominance," Games and Economic Behavior, Elsevier, vol. 67(2), pages 481-502, November.
    10. Dennis Gaertner, 2007. "Why Bayes Rules: A Note on Bayesian vs. Classical Inference in Regime Switching Models," SOI - Working Papers 0719, Socioeconomic Institute - University of Zurich.
    11. Dario Sacco & Armin Schmutzler, 2008. "All-Pay Auctions with Negative Prize Externalities: Theory and Experimental Evidence," SOI - Working Papers 0806, Socioeconomic Institute - University of Zurich.
    12. William H. Greene & David A. Hensher, 2008. "Modeling Ordered Choices: A Primer and Recent Developments," Working Papers 08-26, New York University, Leonard N. Stern School of Business, Department of Economics.
    13. Adrian Bruhin, 2008. "Stochastic Expected Utility and Prospect Theory in a Horse Race: A Finite Mixture Approach," SOI - Working Papers 0803, Socioeconomic Institute - University of Zurich.
    14. Sahil Loomba & Alexandre Figueiredo & Simon J. Piatek & Kristen Graaf & Heidi J. Larson, 2021. "Measuring the impact of COVID-19 vaccine misinformation on vaccination intent in the UK and USA," Nature Human Behaviour, Nature, vol. 5(3), pages 337-348, March.
    15. Stefan Boes, 2009. "Partial Identification of Discrete Counterfactual Distributions with Sequential Update of Information," SOI - Working Papers 0918, Socioeconomic Institute - University of Zurich.
    16. Arne Risa Hole & Anita Ratcliffe, 2015. "The impact of the London bombings on the wellbeing of young Muslims," Working Papers 2015002, The University of Sheffield, Department of Economics.

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    More about this item

    Keywords

    Nonparametric bounds; Causal effects; Instrumental variables; Endogenous binary regressor; Partial identification; C14; C25; C35;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions

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