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Quantile Regression (Paperback)
Loot Price: R945
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Quantile Regression (Paperback)
Series: Quantitative Applications in the Social Sciences
Expected to ship within 12 - 17 working days
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Quantile Regression, the first book of Hao and Naiman's two-book
series, establishes the seldom recognized link between inequality
studies and quantile regression models. Though separate
methodological literature exists for each subject, the authors seek
to explore the natural connections between this increasingly
sought-after tool and research topics in the social sciences.
Quantile regression as a method does not rely on assumptions as
restrictive as those for the classical linear regression; though
more traditional models such as least squares linear regression are
more widely utilized, Hao and Naiman show, in their application of
quantile regression to empirical research, how this model yields a
more complete understanding of inequality. Inequality is a
perennial concern in the social sciences, and recently there has
been much research in health inequality as well. Major software
packages have also gradually implemented quantile regression.
Quantile Regression will be of interest not only to the traditional
social science market but other markets such as the health and
public health related disciplines.Key Features: Establishes a
natural link between quantile regression and inequality studies in
the social sciences Contains clearly defined terms, simplified
empirical equations, illustrative graphs, empirical tables and
graphs from examples Includes computational codes using statistical
software popular among social scientists Oriented to empirical
research
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