Robustness Tests for Quantitative Research

Nonfiction, Reference & Language, Reference, Research, Social & Cultural Studies, Political Science
Cover of the book Robustness Tests for Quantitative Research by Eric Neumayer, Thomas Plümper, Cambridge University Press
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Eric Neumayer, Thomas Plümper ISBN: 9781108244121
Publisher: Cambridge University Press Publication: August 11, 2017
Imprint: Cambridge University Press Language: English
Author: Eric Neumayer, Thomas Plümper
ISBN: 9781108244121
Publisher: Cambridge University Press
Publication: August 11, 2017
Imprint: Cambridge University Press
Language: English
The uncertainty that researchers face in specifying their estimation model threatens the validity of their inferences. In regression analyses of observational data, the 'true model' remains unknown, and researchers face a choice between plausible alternative specifications. Robustness testing allows researchers to explore the stability of their main estimates to plausible variations in model specifications. This highly accessible book presents the logic of robustness testing, provides an operational definition of robustness that can be applied in all quantitative research, and introduces readers to diverse types of robustness tests. Focusing on each dimension of model uncertainty in separate chapters, the authors provide a systematic overview of existing tests and develop many new ones. Whether it be uncertainty about the population or sample, measurement, the set of explanatory variables and their functional form, causal or temporal heterogeneity, or effect dynamics or spatial dependence, this book provides guidance and offers tests that researchers from across the social sciences can employ in their own research.
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
The uncertainty that researchers face in specifying their estimation model threatens the validity of their inferences. In regression analyses of observational data, the 'true model' remains unknown, and researchers face a choice between plausible alternative specifications. Robustness testing allows researchers to explore the stability of their main estimates to plausible variations in model specifications. This highly accessible book presents the logic of robustness testing, provides an operational definition of robustness that can be applied in all quantitative research, and introduces readers to diverse types of robustness tests. Focusing on each dimension of model uncertainty in separate chapters, the authors provide a systematic overview of existing tests and develop many new ones. Whether it be uncertainty about the population or sample, measurement, the set of explanatory variables and their functional form, causal or temporal heterogeneity, or effect dynamics or spatial dependence, this book provides guidance and offers tests that researchers from across the social sciences can employ in their own research.

More books from Cambridge University Press

Cover of the book Understanding Australia's Neighbours by Eric Neumayer, Thomas Plümper
Cover of the book The Moral Challenge of Dangerous Climate Change by Eric Neumayer, Thomas Plümper
Cover of the book Theology without Metaphysics by Eric Neumayer, Thomas Plümper
Cover of the book Children's Fantasy Literature by Eric Neumayer, Thomas Plümper
Cover of the book The Cambridge Companion to Slavery in American Literature by Eric Neumayer, Thomas Plümper
Cover of the book Proactive Support of Labor by Eric Neumayer, Thomas Plümper
Cover of the book Kant: Groundwork of the Metaphysics of Morals by Eric Neumayer, Thomas Plümper
Cover of the book Just Satisfaction under the European Convention on Human Rights by Eric Neumayer, Thomas Plümper
Cover of the book Stargazing Basics by Eric Neumayer, Thomas Plümper
Cover of the book Designing Effective Web Surveys by Eric Neumayer, Thomas Plümper
Cover of the book Challenges in Central Banking by Eric Neumayer, Thomas Plümper
Cover of the book Hierarchical Capitalism in Latin America by Eric Neumayer, Thomas Plümper
Cover of the book Fact-Finding without Facts by Eric Neumayer, Thomas Plümper
Cover of the book Inferences during Reading by Eric Neumayer, Thomas Plümper
Cover of the book Case Studies in Adult Intensive Care Medicine by Eric Neumayer, Thomas Plümper
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