Publications-Periodical Articles

Article View/Open

Publication Export

Google ScholarTM

NCCU Library

Citation Infomation

Related Publications in TAIR

題名 A Simple Closed-Form Approximation for the Cumulative Distribution Function of the Composite Error of Stochastic Frontier Models.
作者 蔡文禎
Tsay, Wen-Jen ; Huang, Cliff J. ; Fu, Tsu-Tan ; Ho, I.-Lin
貢獻者 財政系
關鍵詞 Stochastic frontier analysis; cumulative distribution function; censoredstochastic frontier model
日期 2012.06
上傳時間 17-Apr-2014 16:26:02 (UTC+8)
摘要 This paper derives an analytic closed-form formula for the cumulative distribution function (cdf) of the composite error of the stochastic frontier analysis (SFA) model. Since the presence of a cdf is frequently encountered in the likelihood-based analysis with limited-dependent and qualitative variables as elegantly shown in the classic book of Maddala (1983), the proposed methodology is useful in the framework of the stochastic frontier analysis. We apply the formula to the maximum likelihood estimation of the SFA models with a censored dependent variable. The simulations show that the finite sample performance of the maximum likelihood estimator of the censored SFA model is very promising. A simple empirical example on the modeling of reservation wage in Taiwan is illustrated as a potential application of the censored SFA.
關聯 Journal of Productivity Analysis, 39(3), 259-269
資料類型 article
dc.contributor 財政系en_US
dc.creator (作者) 蔡文禎zh_TW
dc.creator (作者) Tsay, Wen-Jen ; Huang, Cliff J. ; Fu, Tsu-Tan ; Ho, I.-Linen_US
dc.date (日期) 2012.06en_US
dc.date.accessioned 17-Apr-2014 16:26:02 (UTC+8)-
dc.date.available 17-Apr-2014 16:26:02 (UTC+8)-
dc.date.issued (上傳時間) 17-Apr-2014 16:26:02 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/65469-
dc.description.abstract (摘要) This paper derives an analytic closed-form formula for the cumulative distribution function (cdf) of the composite error of the stochastic frontier analysis (SFA) model. Since the presence of a cdf is frequently encountered in the likelihood-based analysis with limited-dependent and qualitative variables as elegantly shown in the classic book of Maddala (1983), the proposed methodology is useful in the framework of the stochastic frontier analysis. We apply the formula to the maximum likelihood estimation of the SFA models with a censored dependent variable. The simulations show that the finite sample performance of the maximum likelihood estimator of the censored SFA model is very promising. A simple empirical example on the modeling of reservation wage in Taiwan is illustrated as a potential application of the censored SFA.en_US
dc.format.extent 354901 bytes-
dc.format.mimetype application/pdf-
dc.language.iso en_US-
dc.relation (關聯) Journal of Productivity Analysis, 39(3), 259-269en_US
dc.subject (關鍵詞) Stochastic frontier analysis; cumulative distribution function; censoredstochastic frontier modelen_US
dc.title (題名) A Simple Closed-Form Approximation for the Cumulative Distribution Function of the Composite Error of Stochastic Frontier Models.en_US
dc.type (資料類型) articleen