Genetic markers as instrumental variables: an application to child fat mass and academic achievement
Davey Smith, G
von Hinke, S
Lawlor, D
Propper, C
Windmeijer, F
doi:10.1920/wp.cem.2010.0310
Endogeneity in count data models; an application to demand for health care
Santos Silva, J
Windmeijer, F
doi:10.1920/wp.ifs.1996.9615
Two-part multiple spell models for health care demand
Santos Silva, J
Windmeijer, F
doi:10.1920/wp.ifs.1999.9902
Estimating structural mean models with multiple instrumental variables using the generalised method of moments
Clarke, P
Palmer, T
Windmeijer, F
doi:10.1920/wp.cem.2011.2811
Is it different for zeros? Discriminating between models for non-negative data with many zeros
Santos Silva, J
Tenreyro, S
Windmeijer, F
doi:10.1920/wp.cem.2010.2010
The weak instrument problem of the system GMM estimator in dynamic panel data models
Bun, M
Windmeijer, F
doi:10.1920/wp.cem.2007.0807
A weak instrument F-test in linear IV models with multiple endogenous variables
Sanderson, E
Windmeijer, F
doi:10.1920/wp.cem.2013.5813
GMM with many weak moment conditions
Newey, W
Windmeijer, F
doi:10.1920/wp.cem.2005.1805
Identification of causal effects on binary outcomes using structural mean models
Clarke, P
Windmeijer, F
doi:10.1920/wp.cem.2010.0210
Criterion-based inference for GMM in autoregressive panel-data models
Bond, S
Bowsher, C
Windmeijer, F
doi:10.1920/wp.ifs.2001.0102