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Estimating Most Productive Scale Size in DEA under Uncertainty

Peykani, Pejman - 2020

One of the important applications of data envelopment analysis (DEA) is estimation of most productive scale size (MPSS). The goal of this study, is to propose a new approach for estimating of MPSS in the presence of uncertain data that only the upper and lower bounds of them are known. To reach...

Persistent link: https://www.econbiz.de/10012824972

Optimal taxation in a stochastic endogenous growth model with congestion

Ott, Ingrid; Soretz, Susanne - 2002

with congestion. It is shown that the optimal amount of governmental input diminishes with uncertainty and that the optimal … deterministic congestion models, but also on the degree of risk aversion. …

Persistent link: https://www.econbiz.de/10011526036

Expanding airport capacity of cities under uncertainty : strategies to mitigate congestion

Balliauw, Matteo; Onghena, Evy - In: Journal of air transport management 84 (2020), pp. 1-11

Persistent link: https://www.econbiz.de/10012253124

Port capacity investment size and timing under uncertainty and congestion

Balliauw, Matteo; Kort, Peter M.; Meersman, Hilde; … - In: Maritime policy & management 47 (2020) 2, pp. 221-239

Persistent link: https://www.econbiz.de/10012210382

Combining uncertainty with uncertainty to get certainty? : efficiency analysis for regulation purposes

Andor, Mark Andreas; Parmeter, Christopher F.; Sommer, … - 2018

Data envelopment analysis (DEA) and stochastic frontier analysis (SFA), as well as combinations thereof, are widely applied in incentive regulation practice, where the assessment of efficiency plays a major role in regulation design and benchmarking. Using a Monte Carlo simulation experiment,...