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Robustness tests for quantitative research / Eric Neumayer, London School of Economics and Political Science, Thomas Plümper, Vienna University of Economics and Business.
Author
Neumayer, Eric, 1970-
[Browse]
Format
Book
Language
English
Published/Created
Cambridge, United Kingdom : Cambridge University Press, 2017.
Description
xiv, 254 pages : illustrations ; 23 cm.
Availability
Available Online
Cambridge Core All Books
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Status
Location Service
Notes
Firestone Library - Stacks
HA31.5 .N48 2017
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Details
Subject(s)
Robust statistics
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Social sciences
—
Methodology
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Author
Plümper, Thomas
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Series
Methodological tools in the social sciences
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Summary note
"The causal complexity that characterizes the social world hampers causal inference. In table 1, we compare traditional science-derived concepts of causality to the logic of causality in the social world. We stress that the traditional concept of causality used in the social sciences comes from traditional physics. It does not necessarily apply to other sciences and is increasingly questioned even by physicists as the rise of quantum physics testifies. We employ it as a backdrop to illustrate how ill it fits to the social world despite many modern social science methodologists putting their faith in inferential techniques that would be well suited only to the traditional science-derived concept of causality"-- Provided by publisher.
Bibliographic references
Includes bibliographical references (pages 232-251) and index.
Contents
Introduction ; pt. 1 Robustness : a conceptual framework. Causal complexity and the limits to inferential validity ; The logic of robustness testing ; The concept of robustness ; A typology of robustness tests ; Alternatives to robustness testing?
pt. 2 Robustness tests and the dimensions of model uncertainty ; Population and sample ; Concept validity and measurement ; Explanatory and omitted variables ; Functional forms beyond default ; Causal heterogeneity and context conditionality ; Structural change as temporal heterogeneity ; Effect dynamics ; Spatial correlation and dependence ; Conclusion.
ISBN
9781108415392 (hardback : alkaline paper)
1108415393 (hardback : alkaline paper)
9781108401388 (paperback : alkaline paper)
1108401384 (paperback : alkaline paper)
LCCN
2017012398
OCLC
993601534
Other standard number
40027439771
Statement on language in description
Princeton University Library aims to describe library materials in a manner that is respectful to the individuals and communities who create, use, and are represented in the collections we manage.
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Robustness tests for quantitative research / Eric Neumayer, Thomas Plumper.
id
99113505643506421