Quasi-Bayesian inference for production frontiers

We propose a quasi-Bayesian method to conduct inference for the production frontier. This approach combines multiple first-stage extreme quantile estimates by the quasi-Bayesian method to produce the point estimate and confidence interval for the production frontier. We show the asymptotic propertie...

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Main Authors:	LIU, Xiaobin, YANG, Thomas Tao, ZHANG, Yichong
Format:	text
Language:	English
Published:	Institutional Knowledge at Singapore Management University 2020
Subjects:	Fixed-k asymptotics extreme value theory Econometrics
Online Access:	https://ink.library.smu.edu.sg/soe_research/2119 https://ink.library.smu.edu.sg/context/soe_research/article/3119/viewcontent/1709.08846.pdf
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Institution:	Singapore Management University
Language:	English

id	sg-smu-ink.soe_research-3119
record_format	dspace
spelling	sg-smu-ink.soe_research-31192020-12-30T09:04:52Z Quasi-Bayesian inference for production frontiers LIU, Xiaobin YANG, Thomas Tao ZHANG, Yichong We propose a quasi-Bayesian method to conduct inference for the production frontier. This approach combines multiple first-stage extreme quantile estimates by the quasi-Bayesian method to produce the point estimate and confidence interval for the production frontier. We show the asymptotic properties of the proposed estimator and the validity of the inference procedure. The finite sample performance of our method is illustrated through simulations and an empirical application. 2020-12-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/soe_research/2119 https://ink.library.smu.edu.sg/context/soe_research/article/3119/viewcontent/1709.08846.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Economics eng Institutional Knowledge at Singapore Management University Fixed-k asymptotics extreme value theory Econometrics
institution	Singapore Management University
building	SMU Libraries
continent	Asia
country	Singapore Singapore
content_provider	SMU Libraries
collection	InK@SMU
language	English
topic	Fixed-k asymptotics extreme value theory Econometrics
spellingShingle	Fixed-k asymptotics extreme value theory Econometrics LIU, Xiaobin YANG, Thomas Tao ZHANG, Yichong Quasi-Bayesian inference for production frontiers
description	We propose a quasi-Bayesian method to conduct inference for the production frontier. This approach combines multiple first-stage extreme quantile estimates by the quasi-Bayesian method to produce the point estimate and confidence interval for the production frontier. We show the asymptotic properties of the proposed estimator and the validity of the inference procedure. The finite sample performance of our method is illustrated through simulations and an empirical application.
format	text
author	LIU, Xiaobin YANG, Thomas Tao ZHANG, Yichong
author_facet	LIU, Xiaobin YANG, Thomas Tao ZHANG, Yichong
author_sort	LIU, Xiaobin
title	Quasi-Bayesian inference for production frontiers
title_short	Quasi-Bayesian inference for production frontiers
title_full	Quasi-Bayesian inference for production frontiers
title_fullStr	Quasi-Bayesian inference for production frontiers
title_full_unstemmed	Quasi-Bayesian inference for production frontiers
title_sort	quasi-bayesian inference for production frontiers
publisher	Institutional Knowledge at Singapore Management University
publishDate	2020
url	https://ink.library.smu.edu.sg/soe_research/2119 https://ink.library.smu.edu.sg/context/soe_research/article/3119/viewcontent/1709.08846.pdf
_version_	1770573876507443200

Quasi-Bayesian inference for production frontiers

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