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Linear Probability, Logit, and Probit Models

Linear Probability, Logit, and Probit Models - 84 edition

ISBN13: 978-0803921337

Cover of Linear Probability, Logit, and Probit Models 84 (ISBN 978-0803921337)
ISBN13: 978-0803921337
ISBN10: 0803921330
Cover type: Paperback
Edition/Copyright: 84
Publisher: Sage Publications, Inc.
Published: 1984
International: No

List price: $19.00

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Linear Probability, Logit, and Probit Models - 84 edition

ISBN13: 978-0803921337

John H. Aldrich and Forrest D. Nelson

ISBN13: 978-0803921337
ISBN10: 0803921330
Cover type: Paperback
Edition/Copyright: 84
Publisher: Sage Publications, Inc.

Published: 1984
International: No
Summary

After showing why ordinary regression analysis is not appropriate in investigating dichotomous or otherwise "limited" dependent variables, this volume examines three techniques-linear probability, probit, and logit models-well-suited for such data. It reviews the linear probability model and discusses alternative specifications of nonlinear models.

Author Bio

Aldrich, John H. : Duke University


Nelson, Forrest D. : University of Iowa

Table of Contents

1. The Linear Probability Model

2. Specifications of Nonlinear Probability Models

3. Estimation of Probit and Logit Models for Dichotomous Dependent Variables

4. Minimum Chi-Square Estimation and Polytomous Models

5. Summary and Extensions

References

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