Centre Fellows

Frank Windmeijer

University of Bristol

Frank joined the Institute in 1996 having previously worked at the University of Amsterdam, the Australian National University and University College London. He is now a professor of econometrics at the University of Bristol.

His research interests include the econometrics of dynamic panel data models and count data, and various issues in health, e.g. household smoking behaviour and demand for health care.

Frank ran the Econometric Study Group and is a member of the Centre for Economic Evaluation, which is part of the ESRC Evidence-Based Policy and Practice Network.

He is a co-editor of the Econometrics Journal.

Selected Publications

Identification of causal effects on binary outcomes using structural mean models

Structural mean models (SMMs) were originally formulated to estimate causal effects among those selecting treatment in […]

Paul S. Clarke, Frank Windmeijer
1 March 2010 | CWP02/10

Latest version

Identification of causal effects on binary outcomes using structural mean models
Paul S. Clarke, Frank Windmeijer
3 June 2010 | Journal Article
The weak instrument problem of the system GMM estimator in dynamic panel data models

The system GMM estimator for dynamic panel data models combines moment conditions for the model in […]

Maurice Bun, Frank Windmeijer
1 February 2010 | Journal Article

Previous version

The weak instrument problem of the system GMM estimator in dynamic panel data models

The system GMM estimator for dynamic panel data models combines moment conditions for the model in […]

Maurice Bun, Frank Windmeijer
27 March 2007 | CWP08/07

Latest version

The weak instrument problem of the system GMM estimator in dynamic panel data models
Maurice Bun, Frank Windmeijer
1 February 2010 | Journal Article
GMM for panel count data models

This paper gives an account of the recent literature on estimating models for panel count data. […]

Frank Windmeijer
11 October 2006 | CWP21/06
GMM with many weak moment conditions

Using many moment conditions can improve efficiency but makes the usual GMM inferences inaccurate. Two step […]

Whitney K. Newey, Frank Windmeijer
6 December 2005 | CWP18/05

Latest version

Generalized method of moments with many weak moment conditions
Whitney K. Newey, Frank Windmeijer
31 May 2010 | Journal Article
Unit roots: identification and testing in micro panels

We consider a number of unit root tests for micro panels where the number of individuals […]

Stephen Bond, Céline Nauges, Frank Windmeijer
6 July 2005 | CWP07/05
Projection estimators for autoregressive panel data models

In this paper we explore a new approach to estimation for autoregressive panel data models, based […]

Stephen Bond, Frank Windmeijer
26 December 2002 | Journal Article
ExpEnd, A Gauss programme for non-linear GMM estimation of exponential models with endogenous regressors for cross section and panel data

ExpEnd is a Gauss programme for non-linear generalised method of moments (GMM) estimation of exponential models […]

Frank Windmeijer
1 August 2002 | CWP14/02
Finite sample inference for GMM estimators in linear panel data models

We compare the finite sample performance of a range of tests of linear restrictions for linear […]

Stephen Bond, Frank Windmeijer
1 May 2002 | CWP04/02
Projection estimators for autoregressive panel data models

In this paper we explore a new approach to estimation for autoregressive panel data models, based […]

Stephen Bond, Frank Windmeijer
31 December 2001 | CWP06/01