This paper deals with the identification of treatment effects when the outcome variable is ordered. If outcomes are measured ordinally, previously developed methods to investigate the impact of an endogenous binary regressor on average outcomes cannot be applied as the expectation of an ordered variable, in its strict sense, does not exist, and a shift in focus to distributional effects is indispensable. Without imposing a fully fledged parametric model the treatment effects are generally not point-identified. Assuming a threshold crossing model on both the ordered potential outcomes and the binary treatment variable leaving the distribution of error terms and functional forms unspecified, it is discussed how the treatment effects can be bounded and inference on the bounds can be conducted.
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Paper provided by University of Zurich, Socioeconomic Institute in its series Working Papers with number
0709.
Find related papers by JEL classification: C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Semiparametric and Nonparametric Methods C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models
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Stefan Boes & Rainer Winkelmann, 2005.
"Ordered Response Models,"
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Other versions:
Stefan Boes & Markus Lipp & Rainer Winkelmann, 2005.
"Money Illusion Under Test,"
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Boes, Stefan & Lipp, Markus & Winkelmann, Rainer, 2007.
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Cited by: (explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)
Daniel Halbheer & Ernst Fehr & Lorenz Goette & Armin Schmutzler, 2007.
"Self-Reinforcing Market Dominance,"
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[Downloadable!]
Other versions:
Daniel Halbheer & Ernst Fehr & Lorenz Goette & Armin Schmutzler, .
"Self-Reinforcing Market Dominance,"
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0094, University of Zurich, Institute for Strategy and Business Economics (ISU).
[Downloadable!]