Literature DB >> 10200330

Local instrumental variables and latent variable models for identifying and bounding treatment effects.

J J Heckman1, E J Vytlacil.   

Abstract

This paper examines the relationship between various treatment parameters within a latent variable model when the effects of treatment depend on the recipient's observed and unobserved characteristics. We show how this relationship can be used to identify the treatment parameters when they are identified and to bound the parameters when they are not identified.

Mesh:

Year:  1999        PMID: 10200330      PMCID: PMC16400          DOI: 10.1073/pnas.96.8.4730

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  43 in total

1.  Models of treatment effects when responses are heterogeneous.

Authors:  R A Moffitt
Journal:  Proc Natl Acad Sci U S A       Date:  1999-06-08       Impact factor: 11.205

2.  Are Elderly Patients With Clinically Localized Prostate Cancer Overtreated? Exploring Heterogeneity in Survival Effects.

Authors:  Anirban Basu; John L Gore
Journal:  Med Care       Date:  2015-01       Impact factor: 2.983

3.  Application of potential outcomes to an intentional weight loss latent variable problem.

Authors:  Gary L Gadbury; Thidaporn Supapakorn; Christopher S Coffey; Scott W Keith; David B Allison
Journal:  Stat Interface       Date:  2008       Impact factor: 0.582

4.  Remarks on the analysis of causal relationships in population research.

Authors:  Robert Moffitt
Journal:  Demography       Date:  2005-02

5.  Incremental parameter evaluation from incomplete data with application to the population pharmacology of anticoagulants.

Authors:  Marcel O Vlad; Alexandru Dan Corlan; Federico Morán; Peter Oefner; John Ross
Journal:  Proc Natl Acad Sci U S A       Date:  2008-03-19       Impact factor: 11.205

6.  Estimating Decision-Relevant Comparative Effects Using Instrumental Variables.

Authors:  Anirban Basu
Journal:  Stat Biosci       Date:  2011-09

7.  Heterogeneity in action: the role of passive personalization in comparative effectiveness research.

Authors:  Anirban Basu; Anupam B Jena; Dana P Goldman; Tomas J Philipson; Robert Dubois
Journal:  Health Econ       Date:  2013-10-09       Impact factor: 3.046

8.  Heterogeneity in returns to college education: selection bias in contemporary taiwan.

Authors:  Shu-Ling Tsai; Yu Xie
Journal:  Soc Sci Res       Date:  2011-05

9.  Principal stratification--uses and limitations.

Authors:  Tyler J Vanderweele
Journal:  Int J Biostat       Date:  2011-07-11       Impact factor: 0.968

10.  Endogenous risk-taking and physical appearance of sex workers.

Authors:  Peter H Egger; Andreas Lindenblatt
Journal:  Eur J Health Econ       Date:  2014-10-21
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