Natural Experiments in the Social Sciences

A Design-Based Approach

Nonfiction, Reference & Language, Reference, Social & Cultural Studies, Social Science, Business & Finance
Cover of the book Natural Experiments in the Social Sciences by Thad Dunning, Cambridge University Press
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Thad Dunning ISBN: 9781139564434
Publisher: Cambridge University Press Publication: September 6, 2012
Imprint: Cambridge University Press Language: English
Author: Thad Dunning
ISBN: 9781139564434
Publisher: Cambridge University Press
Publication: September 6, 2012
Imprint: Cambridge University Press
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from Cambridge University Press

Cover of the book Is Killing People Right? by Thad Dunning
Cover of the book String Theory: Volume 1, An Introduction to the Bosonic String by Thad Dunning
Cover of the book The Archaeology of Greek and Roman Troy by Thad Dunning
Cover of the book Simile and Identity in Ovid's Metamorphoses by Thad Dunning
Cover of the book English Identity and Political Culture in the Fourteenth Century by Thad Dunning
Cover of the book American Literature in Transition, 1910–1920 by Thad Dunning
Cover of the book Thomas Paine and the Idea of Human Rights by Thad Dunning
Cover of the book Social Media and Morality by Thad Dunning
Cover of the book Why Is There Philosophy of Mathematics At All? by Thad Dunning
Cover of the book Presidents and Civil Liberties from Wilson to Obama by Thad Dunning
Cover of the book Fundamentals of Anaesthesia by Thad Dunning
Cover of the book Puberty in Crisis by Thad Dunning
Cover of the book Stochastic Calculus and Differential Equations for Physics and Finance by Thad Dunning
Cover of the book Culpable Carelessness by Thad Dunning
Cover of the book Great Australian Dissents by Thad Dunning
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy