Sensitivity analysis of the unconfoundedness assumption with an application to an evaluation of college choice effects on earnings

“…Misspecification will be dealt with assuming MAR where actually the truth is MNAR. Beside Copas and Eguchi [2], many other authors have developed methods to assess the sensitivity of inference under the MAR assumption [3,4]. Moreover, 2…”

Section: Copas and Eguchimentioning

confidence: 99%

An Alternative Sensitivity Approach for Longitudinal Analysis with Dropout

Almohisen

Henderson

Alshingiti

2019

Journal of Probability and Statistics

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In any longitudinal study, a dropout before the final timepoint can rarely be avoided. The chosen dropout model is commonly one of these types: Missing Completely at Random (MCAR), Missing at Random (MAR), Missing Not at Random (MNAR), and Shared Parameter (SP). In this paper we estimate the parameters of the longitudinal model for simulated data and real data using the Linear Mixed Effect (LME) method. We investigate the consequences of misspecifying the missingness mechanism by deriving the so-called least false values. These are the values the parameter estimates converge to, when the assumptions may be wrong. The knowledge of the least false values allows us to conduct a sensitivity analysis, which is illustrated. This method provides an alternative to a local misspecification sensitivity procedure, which has been developed for likelihood-based analysis. We compare the results obtained by the method proposed with the results found by using the local misspecification method. We apply the local misspecification and least false methods to estimate the bias and sensitivity of parameter estimates for a clinical trial example.

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“…Evidence from other countries is scarcer. Papers using administrative registries from Sweden and various identification strategies report positive effect of institutional quality on graduate earnings (Lindahl and Regnér, 2009;de Luna and Lundin, 2014) 7 . However, no returns to the selectivity of the institutions are found in Australia, Finland or Japan (Birch et al, 2009;Suhonen 2012, Nakamuro andInui, 2012, respectively).…”

Section: Literature Reviewmentioning

confidence: 99%

Does Higher Education Quality Matter in the UK?

Chevalier

2014

SSRN Journal

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Does Higher Education Quality Matter in the UK? *This paper estimates the financial returns to higher education quality in the UK. To account for the selectivity of students to institution, we rely on a selection on observable assumptions. We use several estimates including the Generalised Propensity Score of Hirano and Imbens, which relies on a continuous measure of institutional quality. This highlights that the returns to quality are heterogenous, and mostly driven by high quality institutions. Moving from an institution in the 3 rd quality quartile to a top quality institution is associated with a 7% increase in earnings.

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Sensitivity analysis of the unconfoundedness assumption with an application to an evaluation of college choice effects on earnings

Cited by 7 publications

References 26 publications

Data Resource Profile: Swedish Microdata Research from Childhood into Lifelong Health and Welfare (Umeå SIMSAM Lab)

Data Resource Profile: Swedish Microdata Research from Childhood into Lifelong Health and Welfare (Umeå SIMSAM Lab)

An Alternative Sensitivity Approach for Longitudinal Analysis with Dropout

Does Higher Education Quality Matter in the UK?

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