Causal models in the social sciences

著者

書誌事項

Causal models in the social sciences

edited by H.M. Blalock, Jr

Aldine, c1985

2nd ed

  • : library binding
  • : pbk

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注記

Includes bibliographies and indexes

内容説明・目次

巻冊次

: library binding ISBN 9780202303130

内容説明

Causal models are formal theories stating the relationships between precisely defined variables, and have become an indispensable tool of the social scientist. This collection of articles is a course book on the causal modeling approach to theory construction and data analysis. H. M. Blalock, Jr. summarizes the then-current developments in causal model utilization in sociology, political science, economics, and other disciplines. This book provides a comprehensive multidisciplinary picture of the work on causal models. It seeks to address the problem of measurement in the social sciences and to link theory and research through the development of causal models. Organized into five sections (Simple Recursive Models, Path Analysis, Simultaneous Equations Techniques, The Causal Approach to Measurement Error, and Other Complications), this volume contains twenty-seven articles (eight of which were specially commissioned). Each section begins with an introduction explaining the concepts to be covered in the section and links them to the larger subject. It provides a general overview of the theory and application of causal modeling. Blalock argues for the development of theoretical models that can be operationalized and provide verifiable predictions. Many of the discussions of this subject that occur in other literature are too technical for most social scientists and other scholars who lack a strong background in mathematics. This book attempts to integrate a few of the less technical papers written by econometricians such as Koopmans, Wold, Strotz, and Fisher with discussions of causal approaches in the social and biological sciences. This classic text by Blalock is a valuable source of material for those interested in the issue of measurement in the social sciences and the construction of mathematical models.
巻冊次

: pbk ISBN 9780202303147

内容説明

Causal models are formal theories stating the relationships between precisely defined variables, and have become an indispensable tool of the social scientist. This collection of articles is a course book on the causal modeling approach to theory construction and data analysis. H. M. Blalock, Jr. summarizes the then-current developments in causal model utilization in sociology, political science, economics, and other disciplines. This book provides a comprehensive multidisciplinary picture of the work on causal models. It seeks to address the problem of measurement in the social sciences and to link theory and research through the development of causal models.Organized into five sections (Simple Recursive Models, Path Analysis, Simultaneous Equations Techniques, The Causal Approach to Measurement Error, and Other Complications), this volume contains twenty-seven articles (eight of which were specially commissioned). Each section begins with an introduction explaining the concepts to be covered in the section and links them to the larger subject. It provides a general overview of the theory and application of causal modeling.Blalock argues for the development of theoretical models that can be operationalized and provide verifiable predictions. Many of the discussions of this subject that occur in other literature are too technical for most social scientists and other scholars who lack a strong background in mathematics. This book attempts to integrate a few of the less technical papers written by econometricians such as Koopmans, Wold, Strotz, and Fisher with discussions of causal approaches in the social and biological sciences. This classic text by Blalock is a valuable source of material for those interested in the issue of measurement in the social sciences and the construction of mathematical models.

目次

I SIMPLE RECURSIVE MODELS AND PATH ANALYSIS 1 Spurious Correlation: A Causal Interpretation 2 Four-Variable Causal Models and Partial Correlations 3 Path Coefficients and Path Regressions: Alternative or Complementary Concepts? 4 Path Analysis: Sociological Examples 5 Causal Inferences, Closed Populations, and Measures of Association II SIMULTANEOUS-EQUATION TECHNIQUES 6 Identification Problems in Economic Model Construction 7 Recursive versus Nonrecursive Systems: An Attempt at Synthesis 8 The Application of a System of Simultaneous Equations to an Innovation Diffusion Model 9 The Choice of Instrumental Variables in the Estimation of Economy-Wide Econometric Models 10 Two Theorems on Ceteris Paribus in the Analysis of Dynamic Systems 11 Sensitivity Analysis of Arbitrarily Identified Simultaneous Equation Models III THE CAUSAL APPROACH TO MEASUREMENT ERROR AND AGGREGATION 12 Theory, Deduction, and Rules of Correspondence 13 Estimating the Parameters of Path Models Involving Unmeasured Variables 14 Multiple Indicator Models Using LISREL 15 Respecification in Multiple Indicator Models 16 Multiple Indicators and Complex Causal Models 17 Problems of Aggregation

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