Skip to content
Register Sign in Wishlist

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

$ 28.00 USD
Adobe eBook Reader

You will be taken to ebooks.com for this purchase
Buy eBook Add to wishlist

Looking for an inspection copy?

This title is not currently available on inspection

Description
Product filter button
Description
Contents
Resources
Courses
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
    Read more

    Customer reviews

    Not yet reviewed

    Be the first to review

    Review was not posted due to profanity

    ×

    , create a review

    (If you're not , sign out)

    Please enter the right captcha value
    Please enter a star rating.
    Your review must be a minimum of 12 words.

    How do you rate this item?

    ×

    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

    General Resources

    Find resources associated with this title

    Type Name Unlocked * Format Size

    Showing of

    Back to top

    This title is supported by one or more locked resources. Access to locked resources is granted exclusively by Cambridge University Press to lecturers whose faculty status has been verified. To gain access to locked resources, lecturers should sign in to or register for a Cambridge user account.

    Please use locked resources responsibly and exercise your professional discretion when choosing how you share these materials with your students. Other lecturers may wish to use locked resources for assessment purposes and their usefulness is undermined when the source files (for example, solution manuals or test banks) are shared online or via social networks.

    Supplementary resources are subject to copyright. Lecturers are permitted to view, print or download these resources for use in their teaching, but may not change them or use them for commercial gain.

    If you are having problems accessing these resources please contact lecturers@cambridge.org.

  • 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.

Sign In

Please sign in to access your account

Cancel

Not already registered? Create an account now. ×

Sorry, this resource is locked

Please register or sign in to request access. If you are having problems accessing these resources please email lecturers@cambridge.org

Register Sign in
Please note that this file is password protected. You will be asked to input your password on the next screen.

» Proceed

You are now leaving the Cambridge University Press website. Your eBook purchase and download will be completed by our partner www.ebooks.com. Please see the permission section of the www.ebooks.com catalogue page for details of the print & copy limits on our eBooks.

Continue ×

Continue ×

Continue ×

Find content that relates to you

Join us online

This site uses cookies to improve your experience. Read more Close

Are you sure you want to delete your account?

This cannot be undone.

Cancel

Thank you for your feedback which will help us improve our service.

If you requested a response, we will make sure to get back to you shortly.

×
Please fill in the required fields in your feedback submission.
×