Zobrazeno 1 - 10
of 138
pro vyhledávání: '"Julien van den Broeck"'
Publikováno v:
Journal of productivity analysis
Building upon a formerly performed study on port competitiveness, this article discusses the use of a stochastic frontier model as an interesting novel use to test, identify and correct respondents' bias by applying it to competitiveness analysis bas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1c2cb536aac3452baba8fcf127476a10
https://doi.org/10.1007/s11123-011-0208-4
https://doi.org/10.1007/s11123-011-0208-4
Autor:
Frans Buelens, Julien van den Broeck
Publikováno v:
Applied financial economics
This new time series on price and return indices for the Belgian railroad sector during the 19th century and comparison with the historical risk premium confirms the risk premium to be positive although not that high as was commonly understood.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dfb6f1e545280a1fa1df1bbdec010779
https://doi.org/10.1080/09603100500120084
https://doi.org/10.1080/09603100500120084
Publikováno v:
European journal of operational research
The purpose of this paper is to identify ex ante fund statistics that can be related to future performance of European equity funds. In an efficient market setting, actively managed portfolios cannot outperform a passive benchmark strategy. However,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3de4133eebe1fc0e74684883bfa6d20f
https://doi.org/10.1016/s0377-2217(02)00603-3
https://doi.org/10.1016/s0377-2217(02)00603-3
Publikováno v:
International journal of maritime economics
A terminal is efficient if it produces a maximum output (container traffic in TEU) for given inputs (terminal superstructure). Traditional studies on container terminal efficiency tend to focus on partial productivity measures such as TEU per crane.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f5ed404c0c22ce338665a3a50795277c
https://doi.org/10.1057/ijme.2000.9
https://doi.org/10.1057/ijme.2000.9
Publikováno v:
Journal of Econometrics. 61:273-303
A Bayesian approach to estimation, prediction, and model comparison in composed error production models is presented. A broad range of distributions on the inefficiency term define the contending models, which can either be treated separately or pool
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::76f45a8fa90a3d24a4fb2b7a6fa233ba
https://doi.org/10.1016/0304-4076(94)90087-6
https://doi.org/10.1016/0304-4076(94)90087-6
Publikováno v:
Journal of Computational and Applied Mathematics. 37(1-3):251-264
In this article we propose to decompose the frontier efficiency into two distinct parts, namely a secular part (long-term) and an organisational part (short-term). A product life-cycle model for twelve industries of the Belgian manufacturing sector h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a9eb0a8e1d4d2920496d136f31a84095
Publikováno v:
Journal of information and optimization sciences
This paper investigates the behavior of maximum likelihood estimates of a stochastic frontier production function in the presence of outliers and in small samples. The primary motivation is the concern that the stochastic frontier approach to efficie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4fea7cba896a2af2611488f28be96f2e
https://hdl.handle.net/10067/69130151162165141
https://hdl.handle.net/10067/69130151162165141
Autor:
Pinilla-Rodríguez, Diego E.1 dpinilla@unach.edu.ec, de Dios Jiménez-Aguilera, Juan2, Montero-Granados, Roberto2
Publikováno v:
Latin American Research Review. Dec2023, Vol. 58 Issue 4, p908-926. 19p.
Publikováno v:
Discover Sustainability; 12/18/2024, Vol. 5 Issue 1, p1-13, 13p
Autor:
Julien van Den Broeck, Wim Meeusen
Publikováno v:
International Economic Review. 18(2):435-44
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52be8e48c4e17676140f6baf971fc5e8