Robustness Tests for Quantitative Research

ISBN-13: 9781108415392 / Angielski / Twarda / 2017 / 268 str.

Eric Neumayer; Thomas Pleumper

Opis

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

Recenzje

'Neumayer and Plümper 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

Spis treści

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.