Robustness Tests for Quantitative Research (Methodological Tools in the Social

Robustness Tests for Quantitative Research (Methodological Tools in the Social

Robustness Tests for Quantitative ResearchAuthor(s): Eric Neumayer, Thomas Plmper\nFormat: Paperback\nPublisher: Cambridge University Press, United Kingdom\nImprint: Cambridge University Press\nISBN-13: 9781108401388, 978-1108401388\nSynopsis\nThe 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 o.

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