Asymptotic analysis of statistical decision rules in econometrics
Keisuke Hirano and
Jack R. Porter
Chapter Chapter 4 in Handbook of Econometrics, 2020, vol. 7, pp 283-354 from Elsevier
Abstract:
Statistical decision rules map data into actions. Point estimators, inference procedures, and forecasting methods can be viewed as statistical decision rules. However, other types of rules are possible, such as rules for assigning individuals to treatments based on covariates, and methods for designing auctions. We discuss heuristics for constructing statistical decision rules, and survey results that characterize the properties of various classes of decision rules. Particular attention is paid to developing large-sample approximations to the distributions and associated risk properties of statistical decision rules.
Keywords: Statistical decision theory; Treatment assignment rules; Limit experiments; Risk (search for similar items in EconPapers)
JEL-codes: C39 (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1573441220300040
Full text for ScienceDirect subscribers only
Related works:
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:eee:ecochp:7a-283
DOI: 10.1016/bs.hoe.2020.09.001
Access Statistics for this chapter
More chapters in Handbook of Econometrics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().