Causality in Crisis?: Statistical Methods and the Search for Causal Knowledge in the Social Sciences

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Product Details

  • ISBN-13: 9780268008246
  • Publisher: University of Notre Dame Press
  • Publication date: 8/1/1996
  • Series: Studies in Science and the Humanities FR
  • Pages: 410
  • Product dimensions: 6.00 (w) x 9.00 (h) x 1.10 (d)

Table of Contents

Introduction 1
I Cause and Correlation before Causal Modeling 21
"Net Effects": A Short History 23
Searching for Causal Relations in Economic Statistics: Reflections from History 47
II Causal Modeling and Causal Inference: Can the Former Justify the Latter? 81
The Regression Method of Causal Inference and a Dilemma Confronting This Method 83
From Association to Causation via Regression 113
Reply to Freedom 163
Rejoinder to Spirtes and Scheines 177
III New Foundations for Causal Inference? 183
An Introduction to Causal Inference 185
A Review of Recent Work on the Foundations of Causal Inference 201
A Critical Appraisal of Causal Discovery Algorithms 249
Causal Models, Probabilities, and Invariance 265
Representations and Misrepresentations: Reply to Humphreys and Woodward 317
IV Putting Problems about Causal Inference in Perspective 323
The Role of Construct Validity in Causal Generalization: The Concept of Total Causal Inference Error 325
What Is a Causal Structure? 343
The Big Broad Issues in Society and Social History: Application of a Probabilistic Perspective 359
Contributors 387
Bibliography 391
Index 405
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