Linear Probability, Logit, and Probit Models
Aldrich, John H. & Forrest D. Nelson
Language: English
Published by SAGE Publications, Newbury Park, 1984
Series: Book 35 of 194 - Quantitative Applications in the Social Sciences
- First Edition
- Softcover
- Used
Seller: Reader's Corner, Inc., Raleigh, NC, U.S.A.Reader's Corner, Inc.
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Seller Inventory # 056390
- Title
- Linear Probability, Logit, and Probit Models
- Author
- Aldrich, John H. & Forrest D. Nelson
- Publisher
- SAGE Publications, Newbury Park
- Publication year
- 1984
- Condition
- Very Good
- Dust jacket
- wraps
- Binding
- Trade Paperback
- Language
- English
- ISBN 10
- 0803921330
- ISBN 13
- 9780803921337
- Edition
- First
- Dimensions
- 8vo - over 7¾" - 9¾" tall
- Series
- Book 35 of 194: Quantitative Applications in the Social Sciences
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.
"Synopsis" may belong to another edition of this title.
About the Author
John H. Aldrich is Pfizer-Pratt University Professor of Political Science at Duke University. He is author of Why Parties: A Second Look (2011), coeditor of Positive Changes in Political Science (2007), and author of Why Parties (1995) and Before the Convention (1980). He is a past president of both the Southern Political Science Association and the Midwest Political Science Association and is serving as president of the American Political Science Association. In 2001 he was elected a fellow in the American Academy of Arts and Sciences.
Expertise * Prediction Markets * Qualitative and Limited Dependent Variable
"About the title" may belong to another edition of this title.
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