Irene Hueter was the first woman ever to receive a Ph.D from a Statistics Department in Switzerland. She has been a Principal Statistical Scientist for Novartis’ Biomedical Research Institute since 2013 and Adjunct Associate Professor of Statistics at Columbia University in New York since 2007. Dr. Hueter was an Associate Professor at CUNY and taught formerly at the University of California, Berkeley and the University of Florida. She has also held visiting fellowships at Princeton and Stanford. She has been the Statistical Editor of JAN since 2007 and is well known for her work in fractals and phase transitions and applying them to interacting particle models, branching random walks, graphs and networks, and extreme value problems. She has published widely in leading journals in statistics, mathematics, and biomedicine, including Probability Theory and Related Fields, Advances in Applied Probability, Ergodic Theory and Dynamical Systems, and the Journal of Statistical Planning and Inference.
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This paper considers the estimation problem in linear regression when endogeneity is present, that is, when explanatory variables are correlated with the random error, and also addresses the question of a priori testing for potential endogeneity.