Treatment Effects with Multiple Outcomes / John Mullahy.

Format:

Book

Author/Creator:

Mullahy, John.

Contributor:

National Bureau of Economic Research.

Series:

Working Paper Series (National Bureau of Economic Research) no. w25307.

NBER working paper series no. w25307

Language:

English

Physical Description:

1 online resource: illustrations (black and white);

Place of Publication:

Cambridge, Mass. National Bureau of Economic Research 2018.

Summary:

This paper proposes strategies for defining, identifying, and estimating features of treatment-effect distributions in contexts where multiple outcomes are of interest. After describing existing empirical approaches used in such settings, the paper develops a notion of treatment preference that is shown to be a feature of standard treatment-effect analysis in the single-outcome case. Focusing largely on binary outcomes, treatment-preference probability treatment effects (PTEs) are defined and are seen to correspond to familiar average treatment effects in the single-outcome case. The paper suggests seven possible characterizations of treatment preference appropriate to multiple-outcome contexts. Under standard assumptions about unconfoundedness of treatment assignment, the PTEs are shown to be point identified for three of the seven characterizations and set identified for the other four. Probability bounds are derived and empirical approaches to estimating the bounds--or the PTEs themselves in the point-identified cases--are suggested. These empirical approaches are straightforward, involving in most instances little more than estimation of binary-outcome probability models of what are commonly known as composite outcomes. The results are illustrated with simulated data and in analyses of two microdata samples. Finally, the main results are extended to situations where the component outcomes are ordered or categorical.

Notes:

Print version record

November 2018.