Year: 2006
Type: book
Abstract: Economists have long sought to learn the effect of a "treatment" on some outcome of \\ninterest, just as doctors do with their patients. A central practical objective of research \\non treatment response is to provide decision makers with information useful in \\nchoosing treatments. Often the decision maker is a social planner who must choose \\ntreatments for a heterogeneous population--for example, a physician choosing medical \\ntreatments for diverse patients or a judge choosing sentences for convicted offenders. \\nBut research on treatment response rarely provides all the information that planners \\nwould like to have. How then should planners use the available evidence to choose \\ntreatments? \\n \\nThis book addresses key aspects of this broad question, exploring and partially \\nresolving pervasive problems of identification and statistical inference that arise when \\nstudying treatment response and making treatment choices. Charles Manski addresses \\nthe treatment-choice problem directly using Abraham Wald\\'s statistical decision \\ntheory, taking into account the ambiguity that arises from identification problems \\nunder weak but justifiable assumptions. The book unifies and further develops the \\ninfluential line of research the author began in the late 1990s. It will be a valuable \\nresource to researchers and upper-level graduate students in economics as well as \\nother social sciences, statistics, epidemiology and related areas of public health, and \\noperations research. \\n \\nCharles F. Manski is Board of Trustees Professor of Economics at Northwestern \\nUniversity. He is the author of four books, including Partial Identification of \\nProbability Distributions and Identification Problems in the Social Sciences.
Author: Charles F. Manski
Language: English
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2166865965