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Nonrecursive Models de Pamela Paxton

Nonrecursive Models

Autor Pamela Paxton, John R. Hipp, Sandra Marquart-Pyatt
en Limba Engleză Paperback – 8 mar 2011
Nonrecursive Models provides explicit guidance to researchers on the estimation and assessment of nonrecursive simultaneous equation models in a clear, condensed and precise form. It guides readers through the specification and identification of simultaneous equation models, how to assess the quality of the estimates, and how to correctly interpret results.
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Specificații

ISBN-13: 9781412974448
ISBN-10: 1412974445
Pagini: 144
Ilustrații: Illustrations
Dimensiuni: 140 x 216 x 8 mm
Greutate: 0.19 kg
Ediția:1
Editura: Sage Publications, Inc
Locul publicării:Thousand Oaks, United States

Cuprins

About the Authors
Series Editor's Introduction
Acknowledgments
1. Introduction
2. Specifications of Simultaneous Equation Models
3. Identification
4. Estimation
5. Assessment
6. Model Interpretation
7. Conclusion
References
Author Index
Subject Index

Notă biografică

Pamela Paxton is professor of sociology and public affairs and the Christine and Stanley E. Adams, Jr. Centennial Professor in the Liberal Arts at The University of Texas at Austin. She received her undergraduate degree from the University of Michigan in economics and sociology and her PhD in sociology from the University of North Carolina at Chapel Hill. She has consulted for the U.S. Agency for International Development (USAID) and the National Academies. She is the author of numerous scholarly articles on women in politics, which focus on statistical models of women's parliamentary representation. Her research has appeared in a variety of journals, including American Sociological Review, American Journal of Sociology, Social Forces, Comparative Politics, International Studies Quarterly, and Legislative Studies Quarterly. She is also an author of Nonrecursive Models: Endogeneity, Reciprocal Relationships, and Feedback Loops (2011).

Descriere

This text guides readers through the specification and identification of simultaneous equation models, how to assess the quality of the estimates and how to correctly interpret results.