Recent advances in establishing the nature and scope of estimators
in econometrics have shed more light on the importance of
instrumental variables. In this book, the authors argue that such
methods may be regarded as a strong organizing principle for a wide
variety of estimation and hypothesis testing problems in
econometrics and statistics. In support of this claim they present
and develop the methodology of instrumental variables in its most
general and explanatory form. They show, for instance, that
techniques commonly used to handle simultaneity and related
problems can be reduced to one of two generic variables of
instrumental variables estimators, allowing them to explore further
the conditions under which different proposed estimators are
efficient.
General
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