Confidence sets for partially identified parameters that satisfy a finite number of moment inequalities

Arbeitspapier

This paper proposes a new way to construct confidence sets for a parameter of interest in models comprised of finitely many moment inequalities. Building on results from the literature on multivariate one-sided tests, I show how to test the hypothesis that any particular parameter value is logically consistent with the maintained moment inequalities. The associated test statistic has an asymptotic chi-bar-square distribution, and can be inverted to construct an asymptotic confidence set for the parameter of interest, even if that parameter is only partially identified. The confidence sets are easily computed, and Monte Carlo simulations demonstrate good finite sample performance.

Angaben zum Objekt

• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Series: cemmap working paper ; No. CWP25/06

Klassifikation und Themen

• Klassifikation: Wirtschaft ; Hypothesis Testing: General
• Thema: Partial identification , Inference , Moment inequalities

Beteiligte, Orts- und Zeitangaben

• Ereignis: Geistige Schöpfung
• (wer): Rosen, Adam M.
• Ereignis: Veröffentlichung
• (wer): Centre for Microdata Methods and Practice (cemmap)
• (wo): London
• (wann): 2006

Weitere Informationen

• DOI: doi:10.1920/wp.cem.2006.2506
• Handle: http://hdl.handle.net/10419/79358
• Letzte Aktualisierung: 10.03.2025, 11:44 MEZ