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| STATISTICAL METHODS FOR SOCIAL SCIENTISTS
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To order this title, and for more information, click here
By
Erik Hanushek, Stanford University, Stanford, CA, USA
John Jackson, Harvard University, Cambridge, Massachusetts, U.S.A.
Description
The aspects of this text which we believe are novel, at least in degree, include: an effort to motivate different sections with practical
examples and an empirical orientation; an effort to intersperse several easily motivated examples throughout the book and to maintain
some continuity in these examples; and the extensive use of Monte Carlo simulations to demonstrate particular aspects of the problems
and estimators being considered. In terms of material being presented, the unique aspects include the first chapter which attempts to
address the use of empirical methods in the social sciences, the seventh chapter which considers models with discrete dependent variables
and unobserved variables. Clearly these last two topics in particular are quite advanced--more advanced than material that is currently
available on the subject. These last two topics are also currently experiencing rapid development and are not adequately described in
most other texts.
Audience
Undergraduate, and graduate students who have an understanding of statistical methods.
Contents
Empirical Analyses in the Social Science.
Estimation with Simple Linear Models.
Least Squares Estimators: Statistical Properties and Hypothesis
Testing.
Ordinary Least Squares in Practice.
Multivariate Estimation in Matrix Form.
Generalized Least Squares.
Models with Discrete
Dependent Variables.
Introduction to Multiequation Models.
Structural Equations: Simultaneous Models.
Estimating Models with Erroneous
and Unobserved Variables.
Statistical Review.
Matrix Algebra.
Statistical Tables.
References.
Index.
| Bibliographic details |
Hardbound, 374 pages, publication date: JAN-1977
ISBN-13: 978-0-12-324350-8
ISBN-10: 0-12-324350-5
Imprint: ACADEMIC PRESS
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| Price and Ordering |
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USD 124
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Last update: 22 Sep 2009
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