B2025 - Weak instruments in a semi-parametric framework can lead to weak identification - 06/06/2013

B number: 
B2025
Principal applicant name: 
Stephen Burgess (University of Cambridge, UK)
Co-applicants: 
Dr Raquel Granell (Univeristy of Bristol, UK), Prof Jonathan Sterne (University of Bristol, UK)
Title of project: 
Weak instruments in a semi-parametric framework can lead to weak identification.
Proposal summary: 

Aim: To investigate the performance of semi-parametric methods for instrumental variable estimation (specificially the generalized method of moments, GMM, and structural mean models, SMM) with weak instruments.

Hypothesis: The use of weak instruments in a semi-parametric framework may lead to weak identification (that is, the optimization criterion for determining the value of the parameter estimates may be satisfied or nearly satisfied at multiple values of the parameters).

Methods: The performance of these estimators will be considered using simulated data as well as data from the ALSPAC study on the causal association of body mass index on the probability of early menarche using genetic variants associated with body mass index.

Exposure variable: Body mass index (measured at age 7.5).

Outcome variable: Early menarche (before 12 years). This variable has already been derived by RG.

Date proposal received: 
Friday, 31 May, 2013
Date proposal approved: 
Thursday, 6 June, 2013
Keywords: 
Primary keyword: