A new use of importance sampling to reduce computational burden in simulation estimation
Daniel Ackerberg
Quantitative Marketing and Economics (QME), 2009, vol. 7, issue 4, 343-376
Keywords: Simulation estimators; Importance sampling; Monte-Carlo study; C13; C16; C63 (search for similar items in EconPapers)
Date: 2009
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (48)
Downloads: (external link)
http://hdl.handle.net/10.1007/s11129-009-9074-z (text/html)
Access to full text is restricted to subscribers.
Related works:
Working Paper: A New Use of Importance Sampling to Reduce Computational Burden in Simulation Estimation (2001) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:kap:qmktec:v:7:y:2009:i:4:p:343-376
Ordering information: This journal article can be ordered from
http://www.springer. ... ng/journal/11129/PS2
DOI: 10.1007/s11129-009-9074-z
Access Statistics for this article
Quantitative Marketing and Economics (QME) is currently edited by Pradeep Chintagunta
More articles in Quantitative Marketing and Economics (QME) from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().