Arbeitspapier
Cluster-robust inference: A guide to empirical practice
Methods for cluster-robust inference are routinely used in economics and many other disciplines. However, it is only recently that theoretical foundations for the use of these methods in many empirically relevant situations have been developed. In this paper, we use these theoretical results to provide a guide to empirical practice. We do not attempt to present a comprehensive survey of the (very large) literature. Instead, we bridge theory and practice by providing a thorough guide on what to do and why, based on recently available econometric theory and simulation evidence. The paper includes an empirical analysis of the effects of the minimum wage on teenagers using individual data, in which we practice what we preach.
- Language
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Englisch
- Bibliographic citation
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Series: Queen’s Economics Department Working Paper ; No. 1456
- Classification
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Wirtschaft
Hypothesis Testing: General
Statistical Simulation Methods: General
Single Equation Models; Single Variables: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions
Single Equation Models; Single Variables: Panel Data Models; Spatio-temporal Models
- Subject
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clustered data
grouped data
cluster-robust variance estimator
CRVE
robust inference
wild cluster bootstrap
- Event
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Geistige Schöpfung
- (who)
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MacKinnon, James G.
Nielsen, Morten Ørregaard
Webb, Matthew
- Event
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Veröffentlichung
- (who)
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Queen's University, Department of Economics
- (where)
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Kingston (Ontario)
- (when)
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2021
- Handle
- Last update
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10.03.2025, 11:43 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
- MacKinnon, James G.
- Nielsen, Morten Ørregaard
- Webb, Matthew
- Queen's University, Department of Economics
Time of origin
- 2021
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