CHF 44.50

Robustness Tests for Quantitative Research

English · Paperback / Softback

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Informationen zum Autor 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. Klappentext This highly accessible book presents robustness testing as the methodology for conducting quantitative analyses in the presence of model uncertainty. Zusammenfassung 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. Inhaltsverzeichnis 1. Introduction; Part I. Robustness - A Conceptual Framework: 2. Causal complexity and the limits to inferential validity; 3. The logic of robustness testing; 4. The concept of robustness; 5. A typology of robustness tests; 6. Alternatives to robustness testing?; Part II. Robustness Tests and the Dimensions of Model Uncertainty: 7. Population and sample; 8. Concept validity and measurement; 9. Explanatory and omitted variables; 10. Functional forms beyond default; 11. Causal heterogeneity and context conditionality; 12. Structural change as temporal heterogeneity; 13. Effect dynamics; 14. Spatial correlation and dependence; 15. Conclusion.

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