Arbeitspapier
Impossible inference in econometrics: Theory and applications
This paper studies models in which hypothesis tests have trivial power, that is, power smaller than size. This testing impossibility, or impossibility type A, arises when any alternative is not distinguishable from the null. We also study settings where it is impossible to have almost surely bounded confidence sets for a parameter of interest. This second type of impossibility (type B) occurs under a condition weaker than the condition for type A impossibility: the parameter of interest must be nearly unidentifi ed. Our theoretical framework connects many existing publications on impossible inference that rely on different notions of topologies to show models are not distinguishable or nearly unidentifi ed. We also derive both types of impossibility using the weak topology induced by convergence in distribution. Impossibility in the weak topology is often easier to prove, it is applicable for many widely-used tests, and it is useful for robust hypothesis testing. We conclude by demonstrating impossible inference in multiple economic applications of models with discontinuity and time-series models.
- Language
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Englisch
- Bibliographic citation
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Series: cemmap working paper ; No. CWP02/19
- Classification
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Wirtschaft
Hypothesis Testing: General
Semiparametric and Nonparametric Methods: General
Multiple or Simultaneous Equation Models: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
- Subject
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hypothesis tests
confidence intervals
weak identification
regression discontinuity
- Event
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Geistige Schöpfung
- (who)
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Bertanha, Marinho
Moreira, Marcelo J.
- Event
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Veröffentlichung
- (who)
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Centre for Microdata Methods and Practice (cemmap)
- (where)
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London
- (when)
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2019
- DOI
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doi:10.1920/wp.cem.2019.0219
- Handle
- Last update
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10.03.2025, 11:41 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Arbeitspapier
Associated
- Bertanha, Marinho
- Moreira, Marcelo J.
- Centre for Microdata Methods and Practice (cemmap)
Time of origin
- 2019