• Medientyp: Bericht; E-Book
  • Titel: Cluster-robust inference: A guide to empirical practice
  • Beteiligte: MacKinnon, James G. [Verfasser:in]; Nielsen, Morten Ørregaard [Verfasser:in]; Webb, Matthew [Verfasser:in]
  • Erschienen: Kingston (Ontario): Queen's University, Department of Economics, 2021
  • Sprache: Englisch
  • Schlagwörter: C12 ; CRVE ; C23 ; wild cluster bootstrap ; robust inference ; C21 ; grouped data ; clustered data ; C15 ; cluster-robust variance estimator
  • Entstehung:
  • Anmerkungen: Diese Datenquelle enthält auch Bestandsnachweise, die nicht zu einem Volltext führen.
  • Beschreibung: 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.
  • Zugangsstatus: Freier Zugang