Are Education and Entrepreneurial Income Endogenous and Do Family Background Variables Make Sense as Instruments?: A Bayesian Analysis [PDF]
Education is a well-known driver of (entrepreneurial) income. The measurement of its influence, however, suffers from endogeneity suspicion. For instance, ability and occupational choice are mentioned as driving both the level of (entrepreneurial) income
Lennart F. Hoogerheide +2 more
core
Instrumental variables in the cost of illness featuring type 2 diabetes. [PDF]
Kole K +6 more
europepmc +1 more source
Comparative Safety of Sleeve Gastrectomy and Gastric Bypass: An Instrumental Variables Approach. [PDF]
Chhabra KR +8 more
europepmc +1 more source
This study investigated a novel WST‐8‐based assay for evaluating d‐Amino acid oxidase (DAO) inhibitors. We confirmed its effectiveness using known inhibitors and found that uremic toxins possess relatively weak inhibitory activity compared to existing drugs.
Kahoko Miyake +4 more
wiley +1 more source
Testing a parametric quantile-regression model with an endogenous explanatory variable against a nonparametric alternative [PDF]
This paper is concerned with inference about a function g that is identified by a conditional quantile restriction involving instrumental variables. The paper presents a test of the hypothesis that g belongs to a finite-dimensional parametric family ...
Sokbae 'Simon' Lee, Joel Horowitz
core
Using negative controls to identify causal effects with invalid instrumental variables. [PDF]
Dukes O +4 more
europepmc +1 more source
The Influence of Parental Educational Expectations on Children's Higher Education Attainment: Re-estimation Based on Instrumental Variables. [PDF]
Lai T, Liu F, Huang Y.
europepmc +1 more source
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill +4 more
wiley +1 more source
This paper derives and gives explicit formulas for a derived sandwich variance estimate. This variance estimate is appropriate for generalized linear additive measurement error models fitted using instrumental variables.
Raymond J. Carroll, James W. Hardin
core
Instrumental Variable Estimators for Binary Outcomes [PDF]
The estimation of exposure effects on study outcomes is almost always complicated by non-random exposure selection - even randomised controlled trials can be affected by participant non-compliance.
Frank Windmeijer, Paul Clarke
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