Cover image for Statistical methods for social scientists
Title:
Statistical methods for social scientists
Personal Author:
Publication Information:
New York : Academic Press, 1977
ISBN:
9780123243508

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30000001764087 QA276.8 H35 1977 Open Access Book Book
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Summary

Summary

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.


Author Notes

Eric Hanushek is the Paul and Jean Hanna Senior Fellow at the Hoover Institution of Stanford University. He is also chairman of the Executive Committee for the Texas Schools Project at the University of Texas at Dallas, a research associate of the National Bureau of Economic Research, and a member of the Koret Task Force on K-12 Education. He serves as a member of the Board of Directors of the National Board for Education Sciences and of the Governor's Advisory Committee on Education Excellence (California).


Table of 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