Nonrecursive Models: Endogeneity, Reciprocal Relationships, and Feedback Loops - Couverture souple

Livre 117 sur 194: Quantitative Applications in the Social Sciences

Paxton, Pamela; Hipp, John R.; Marquart-Pyatt, Sandra

 
9781412974448: Nonrecursive Models: Endogeneity, Reciprocal Relationships, and Feedback Loops

Synopsis

Nonrecursive Models is a clear and concise introduction to the estimation and assessment of nonrecursive simultaneous equation models. This unique monograph gives practical advice on the specification and identification of simultaneous equation models, how to assess the quality of the estimates, and how to correctly interpret results.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos des auteurs

John R. Hipp is Assistant Professor in the departments of Criminology, Law and Society, and Sociology, at the University of California Irvine. His substantive research interests focus on how neighborhoods change over time, how that change both affects and is affected by neighborhood crime, and the role networks and institutions play in that change. He approaches these questions using quantitative methods. He has published methodological work in such journals as Sociological Methodology, Psychological Methods, and Structural Equation Modeling, a book chapter in the New Handbook on Data Analysis edited by M.A. Hardy, and contributed to an entry in the Encyclopedia of Social Science Research Methods edited by M. Lewis-Beck, A. Bryan, and T.F. Liao. He has published substantive work in such journals as American Sociological Review, Criminology, Social Forces, Social Problems, Mobilization, City & Community, Urban Studies and Journal of Urban Affairs. He currently teaches a graduate course on Structural Equation Models, and taught a course on Simultaneous Equation Models for the ICPSR Summer Program in Quantitative Methods for three years - 2003 to 2005.

Sandy joined the Sociology department at Utah State University in fall of 2004. She received her Ph.D. in Sociology from The Ohio State University in Columbus, OH in 2004 with specializations in Environmental Sociology, Political Sociology, Comparative Social Change, and Social Psychological Aspects of Democratization. Her research and teaching interests include environmental sociology, research methods and statistics (especially hierarchical linear modeling and structural equation modeling), social change and development, social movements, political sociology (emphasizing democracy and democratization), and social psychology.

À propos de la quatrième de couverture

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.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.