Robustness tests for quantitative research:
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Cambridge
Cambridge University Press
2017
|
| Series: | Methodological tools in the social sciences
|
| Subjects: | |
| Links: | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029888155&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=029888155&sequence=000002&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
| Physical Description: | xiv, 254 Seiten Diagramme |
| ISBN: | 9781108401388 9781108415392 |
Staff View
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Record in the Search Index
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| adam_text | Contents
List of Figures page vi
List of Tables vii
List of Robustness Tests viii
Acknowledgments xiii
1. Introduction 1
Robustness - A Conceptual Framework 9
2. Causal Complexity and the Limits to Inferential
Validity 11
3. The Logic of Robustness Testing 23
4. The Concept of Robustness 34
5. A Typology of Robustness Tests 52
6. Alternatives to Robustness Testing? 67
Robustness Tests and the Dimensions of Model
Uncertainty 83
7. Population and Sample 85
8. Concept Validity and Measurement 110
9. Explanatory and Omitted Variables 130
10. Functional Forms Beyond Default 144
11. Causal Heterogeneity and Context Conditionality 157
12. Structural Change as Temporal Heterogeneity 176
13. Effect Dynamics 190
14. Spatial Correlation and Dependence 211
15. Conclusion 229
References 232
Index 252
Robustness Tests for Quantitative Research
The uncertainty researchers face in specifying their estimation models threa-
tens 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, 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.
|
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| discipline | Politologie Wirtschaftswissenschaften |
| format | Book |
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| id | DE-604.BV044488142 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-20T18:04:29Z |
| institution | BVB |
| isbn | 9781108401388 9781108415392 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029888155 |
| oclc_num | 996560377 |
| open_access_boolean | |
| owner | DE-188 DE-384 DE-355 DE-BY-UBR DE-739 |
| owner_facet | DE-188 DE-384 DE-355 DE-BY-UBR DE-739 |
| physical | xiv, 254 Seiten Diagramme |
| publishDate | 2017 |
| publishDateSearch | 2017 |
| publishDateSort | 2017 |
| publisher | Cambridge University Press |
| record_format | marc |
| series2 | Methodological tools in the social sciences |
| spellingShingle | Neumayer, Eric 1970- Plümper, Thomas 1964- Robustness tests for quantitative research Robuste Statistik (DE-588)4451047-0 gnd Methode (DE-588)4038971-6 gnd Sozialwissenschaften (DE-588)4055916-6 gnd |
| subject_GND | (DE-588)4451047-0 (DE-588)4038971-6 (DE-588)4055916-6 |
| title | Robustness tests for quantitative research |
| title_auth | Robustness tests for quantitative research |
| title_exact_search | Robustness tests for quantitative research |
| title_full | Robustness tests for quantitative research Eric Neumayer (London School of Economics and Political Science), Thomas Plümper (Vienna University of Economics and Business) |
| title_fullStr | Robustness tests for quantitative research Eric Neumayer (London School of Economics and Political Science), Thomas Plümper (Vienna University of Economics and Business) |
| title_full_unstemmed | Robustness tests for quantitative research Eric Neumayer (London School of Economics and Political Science), Thomas Plümper (Vienna University of Economics and Business) |
| title_short | Robustness tests for quantitative research |
| title_sort | robustness tests for quantitative research |
| topic | Robuste Statistik (DE-588)4451047-0 gnd Methode (DE-588)4038971-6 gnd Sozialwissenschaften (DE-588)4055916-6 gnd |
| topic_facet | Robuste Statistik Methode Sozialwissenschaften |
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| work_keys_str_mv | AT neumayereric robustnesstestsforquantitativeresearch AT plumperthomas robustnesstestsforquantitativeresearch |