Causal Models in the Social Sciences

ISBN-13: 9781138520134 / Angielski / Twarda / 2017 / 227 str.

Jr. Blalock

Opis

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.

Spis treści

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

O autorze

H.M. Blalock Jr.