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
A weak instrument F-test in linear IV models with multiple endogenous variables
Sanderson, E
Windmeijer, F
doi:10.1920/wp.cem.2015.3115
Misspecification of the generation time distribution and its impact on Rt estimates in structured populations
Bouros, I
Thompson, R
Gavaghan, D
Lambert, B
(10 Mar 2026)
Covering complete geometric graphs by monotone paths
Dumitrescu, A
Pach, J
Saghafian, M
Scott, A
Combinatorics and Number Theory