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Counterfactuals and Causal Inference
Methods and Principles for Social Research

$28.00 USD

Part of Analytical Methods for Social Research

  • Date Published: December 2007
  • availability: This ISBN is for an eBook version which is distributed on our behalf by a third party.
  • format: Adobe eBook Reader
  • isbn: 9780511346354

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About the Authors
  • Did mandatory busing programs in the 1970s increase the school achievement of disadvantaged minority youth? Does obtaining a college degree increase an individual's labor market earnings? Did the use of the butterfly ballot in some Florida counties in the 2000 presidential election cost Al Gore votes? If so, was the number of miscast votes sufficiently large to have altered the election outcome? At their core, these types of questions are simple cause-and-effect questions. Simple cause-and-effect questions are the motivation for much empirical work in the social sciences. This book presents a model and set of methods for causal effect estimation that social scientists can use to address causal questions such as these. The essential features of the counterfactual model of causality for observational data analysis are presented with examples from sociology, political science, and economics.

    • Causal inference from a counterfactual perspective
    • Techniques for the estimation of causal effects
    • Examples from sociology, political science, and economics
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    Product details

    • Date Published: December 2007
    • format: Adobe eBook Reader
    • isbn: 9780511346354
    • contains: 30 tables
    • availability: This ISBN is for an eBook version which is distributed on our behalf by a third party.
  • Table of Contents

    Part I. Counterfactual Causality and Empirical Research in the Social Sciences:
    1. Introduction
    2. The counterfactual model
    Part II. Estimating Causal Effects by Conditioning:
    3. Causal graphs, identification, and models of causal exposure
    4. Matching estimators of causal effects
    5. Regression estimators of causal effects
    Part III. Estimating Causal Effects When Simple Conditioning Is Ineffective:
    6. Identification in the absence of a complete model of causal exposure
    7. Natural experiments and instrumental variables
    8. Mechanisms and causal explanation
    9. Repeated observations and the estimation of causal effects
    Part IV. Conclusions:
    10. Counterfactual causality and future empirical research in the social sciences.

  • Resources for

    Counterfactuals and Causal Inference

    Stephen L. Morgan, Christopher Winship

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  • Instructors have used or reviewed this title for the following courses

    • Accounting Research Methods
    • Advanced Political Analysis
    • Advanced Research methods in Political Science
    • Analysis of Political Data
    • Causal Inference
    • Causal Modeling
    • Design and Analysis of Epidemiological Studies
    • Development of Sociological Theory
    • Econometric Methods for Impact Evaluation of Health Programs
    • Introduction to Statistical Methods
    • Methods and Techniques of Educational Research
    • Multivariate Analysis
    • Non-Statistical Methods in Political Science
    • Nonparametric Statistics
    • Political Economy of International Finance
    • Quantitative Methods for Policy Analysis I
    • Research Methodology
    • Research Seminar in Political Methodology
    • Researching Health Inequities
    • Sampling Measurement and Observation Techniques
    • Sociology 390 - Social Statistics
  • Authors

    Stephen L. Morgan, Cornell University, New York
    Stephen L. Morgan is Associate Professor of Sociology and the current Director of the Center for the Study of Inequality at Cornell University. His previous publications include On the Edge of Commitment: Educational Attainment and Race in the United States (2005).

    Christopher Winship, Harvard University, Massachusetts
    Christopher Winship is Diker-Tishman Professor of Sociology at Harvard University. For the past twelve years he has served as editor of Sociological Methods and Research. He has published widely in a variety of journals and edited volumes.

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