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.

This highly accessible book presents robustness testing as the methodology for conducting quantitative analyses in the presence of model uncertainty.

About the Author
Eric Neumayer is Professor of Environment and Development and Pro-Director Faculty Development at the London School of Economics and Political Science (LSE). Thomas Plumper is Professor of Quantitative Social Research at the Vienna University of Economics and Business.

Reviews
'Neumayer and Plumper have made an impressive contribution to research methodology. Rich 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



Book Information
ISBN 9781108401388
Author Eric Neumayer
Format Paperback
Page Count 268
Imprint Cambridge University Press
Publisher Cambridge University Press
Weight(grams) 440g
Dimensions(mm) 228mm * 152mm * 13mm