Robustness Tests for Quantitative Research

Robustness Tests for Quantitative Research

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Summary

Robustness testing allows researchers to explore the stability of estimates to alternative plausible model specifications. This book explains why robustness tests help researchers to deal with model uncertainty in quantitative research. With little technical knowledge required, it will be relevant to all social scientists as well as graduate students.

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Robustness Tests for Quantitative Research by Eric Neumayer

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.
'Neumayer and Plümper have made an impressive contribution to research methodologyRich in innovation and insight, Robustness Tests for Quantitative Research shows social scientists the way forward for improving the quality of inference with observational data. A must-read!' Harold D. Clarke, Ashbel Smith Professor, University of Texas, Dallas
Eric Neumayer is Professor of Environment and Development and Pro-Director Faculty Development at the London School of Economics and Political Science (LSE). Thomas Plümper is Professor of Quantitative Social Research at the Vienna University of Economics and Business.
SKU Unavailable
ISBN 13 9781108401388
ISBN 10 1108401384
Title Robustness Tests for Quantitative Research
Author Eric Neumayer
Series Methodological Tools In The Social Sciences
Condition Unavailable
Binding Type Paperback
Publisher Cambridge University Press
Year published 2017-08-11
Number of pages 268
Cover note Book picture is for illustrative purposes only, actual binding, cover or edition may vary.