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Natural Experiments in the Social Sciences A Design-Based Approach [Hardcover]

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  • Category: Books (Social Science)
  • Author:  Dunning, Thad
  • Author:  Dunning, Thad
  • ISBN-10:  1107017661
  • ISBN-10:  1107017661
  • ISBN-13:  9781107017665
  • ISBN-13:  9781107017665
  • Publisher:  Cambridge University Press
  • Publisher:  Cambridge University Press
  • Pages:  380
  • Pages:  380
  • Binding:  Hardcover
  • Binding:  Hardcover
  • Pub Date:  01-Jun-2012
  • Pub Date:  01-Jun-2012
  • SKU:  1107017661-11-MPOD
  • SKU:  1107017661-11-MPOD
  • Item ID: 100233696
  • Seller: ShopSpell
  • Ships in: 2 business days
  • Transit time: Up to 5 business days
  • Delivery by: Jul 01 to Jul 03
  • Notes: Brand New Book. Order Now.
The first comprehensive guide to natural experiments, providing an ideal introduction for scholars and students.This book provides scholars and students with the first comprehensive guide to the use and evaluation of natural experiments  an increasingly popular methodology in the social sciences. It introduces the key issues in causal inference, including model specification, and emphasizes the importance of strong research design over complex statistical analysis.This book provides scholars and students with the first comprehensive guide to the use and evaluation of natural experiments  an increasingly popular methodology in the social sciences. It introduces the key issues in causal inference, including model specification, and emphasizes the importance of strong research design over complex statistical analysis.This unique book is the first comprehensive guide to the discovery, analysis, and evaluation of natural experiments  an increasingly popular methodology in the social sciences. Thad Dunning provides an introduction to key issues in causal inference, including model specification, and emphasizes the importance of strong research design over complex statistical analysis. Surveying many examples of standard natural experiments, regression-discontinuity designs, and instrumental-variables designs, Dunning highlights both the strengths and potential weaknesses of these methods, aiding researchers in better harnessing the promise of natural experiments while avoiding the pitfalls. Dunning also demonstrates the contribution of qualitative methods to natural experiments and proposes new ways to integrate qualitative and quantitative techniques. Chapters complete with exercises, and appendices covering specialized topics such as cluster-randomized natural experiments, make this an ideal teaching tool as well as a valuable book for professional researchers.1. Introduction: why natural experiments?; Part I. Discovering Natural Experiments: 2. Standard natural expel³r
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