Economists have long sought to learn the effect of a "treatment"
on some outcome of interest, just as doctors do with their
patients. A central practical objective of research on treatment
response is to provide decision makers with information useful in
choosing treatments. Often the decision maker is a social planner
who must choose treatments for a heterogeneous population--for
example, a physician choosing medical treatments for diverse
patients or a judge choosing sentences for convicted offenders. But
research on treatment response rarely provides all the information
that planners would like to have. How then should planners use the
available evidence to choose treatments?
This book addresses key aspects of this broad question,
exploring and partially resolving pervasive problems of
identification and statistical inference that arise when studying
treatment response and making treatment choices. Charles Manski
addresses the treatment-choice problem directly using Abraham
Wald's statistical decision theory, taking into account the
ambiguity that arises from identification problems under weak but
justifiable assumptions. The book unifies and further develops the
influential line of research the author began in the late 1990s. It
will be a valuable resource to researchers and upper-level graduate
students in economics as well as other social sciences, statistics,
epidemiology and related areas of public health, and operations
research.
General
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