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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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    4. Dennis L. Gärtner, 2010. "Monopolistic screening under learning by doing," RAND Journal of Economics, RAND Corporation, vol. 41(3), pages 574-597, September.
    5. 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.
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    7. 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.
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    9. 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.
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    11. 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.
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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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