Background
Manski, Charles Frederick was born on November 27, 1948 in Boston, Massachusetts, United States. Son of Samuil and Estelle Jean (Zonn) Manski.
( Economists have long sought to learn the effect of a "t...)
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.
http://www.amazon.com/gp/product/0691121532/?tag=2022091-20
( The most crucial choice a high school graduate makes i...)
The most crucial choice a high school graduate makes is whether to attend college or to go to work. Here is the most sophisticated study of the complexities behind that decision. Based on a unique data set of nearly 23,000 seniors from more than 1,300 high schools who were tracked over several years, the book treats the following questions in detail: Who goes to college? Does low family income prevent some young people from enrolling, or does scholarship aid offset financial need? How important are scholastic aptitude scores, high school class rank, race, and socioeconomic background in determining college applications and admissions? Do test scores predict success in higher education? Using the data from the National Longitudinal Study of the Class of 1972, the authors present a set of interrelated analyses of student and institutional behavior, each focused on a particular aspect of the process of choosing and being chosen by a college. Among their interesting findings: most high school graduates would be admitted to some four-year college of average quality, were they to apply; applicants do not necessarily prefer the highest-quality school; high school class rank and SAT scores are equally important in college admissions; federal scholarship aid has had only a small effect on enrollments at four-year colleges but a much stronger effect on attendance at two-year colleges; the attention paid to SAT scores in admissions is commensurate with the power of the scores in predicting persistence to a degree. This clearly written book is an important source of information on a perpetually interesting topic.
http://www.amazon.com/gp/product/0674141253/?tag=2022091-20
( The book presents in a rigorous and thorough manner the...)
The book presents in a rigorous and thorough manner the main elements of Charles Manski's research on partial identification of probability distributions. The approach to inference that runs throughout the book is deliberately conservative and thoroughly nonparametric. There is an enormous scope for fruitful inference using data and assumptions that partially identify population parameters.
http://www.amazon.com/gp/product/0387004548/?tag=2022091-20
( This book provides a language and a set of tools for f...)
This book provides a language and a set of tools for finding bounds on the predictions that social and behavioral scientists can logically make from nonexperimental and experimental data. The economist Charles Manski draws on examples from criminology, demography, epidemiology, social psychology, and sociology as well as economics to illustrate this language and to demonstrate the broad usefulness of the tools. There are many traditional ways to present identification problems in econometrics, sociology, and psychometrics. Some of these are primarily statistical in nature, using concepts such as flat likelihood functions and nondistinct parameter estimates. Manski's strategy is to divorce identification from purely statistical concepts and to present the logic of identification analysis in ways that are accessible to a wide audience in the social and behavioral sciences. In each case, problems are motivated by real examples with real policy importance, the mathematics is kept to a minimum, and the deductions on identifiability are derived giving fresh insights. Manski begins with the conceptual problem of extrapolating predictions from one population to some new population or to the future. He then analyzes in depth the fundamental selection problem that arises whenever a scientist tries to predict the effects of treatments on outcomes. He carefully specifies assumptions and develops his nonparametric methods of bounding predictions. Manski shows how these tools should be used to investigate common problems such as predicting the effect of family structure on children's outcomes and the effect of policing on crime rates. Successive chapters deal with topics ranging from the use of experiments to evaluate social programs, to the use of case-control sampling by epidemiologists studying the association of risk factors and disease, to the use of intentions data by demographers seeking to predict future fertility. The book closes by examining two central identification problems in the analysis of social interactions: the classical simultaneity problem of econometrics and the reflection problem faced in analyses of neighborhood and contextual effects.
http://www.amazon.com/gp/product/0674442849/?tag=2022091-20
Manski, Charles Frederick was born on November 27, 1948 in Boston, Massachusetts, United States. Son of Samuil and Estelle Jean (Zonn) Manski.
Bachelor of Science in Economics, Massachusetts Institute of Technology, 1970. Doctor of Philosophy, Massachusetts Institute of Technology, 1973.
Assistant professor economics Carnegie-Mellon University, Pittsburgh, 1973-1977, associate professor, 1977-1980, Hebrew University of Jerusalem, Israel, 1979-1983. Professor economics University Wisconsin, Madison, 1983-1998, Wolfowitz professor, 1989, Hilldale professor, 1993. Board trustees professor Northwestern University, Evanston, Illinois, since 1997.
Director Institute Research on Poverty, Madison, 1988-1991. Member advisory panel Department of Health and Human Services, 1990-1994, National Science Foundation, 1985-1987, 1999-2000. Member committee National Academy of Sciences, 1984-1987, 91, 92-2007.
( This book provides a language and a set of tools for f...)
( The book presents in a rigorous and thorough manner the...)
( Economists have long sought to learn the effect of a "t...)
( The most crucial choice a high school graduate makes i...)
(Social Studies, Child Care, Labor Studies,)
Member advisory panel unites states department Department of Health and Human Services, since 1990, National Science Foundation, 1985-1987. Member committee NAS, 1984-1987, 91, 92-. Fellow American Association for the Advancement of Science, Econometric Society.
Member American Economics Association, American Statistical Association, Institute Mathematics Statistics.
Married Catherine Fowler Moss, February 20, 1972. Children: Benjamin Robert, Rebecca.