Performance evaluation using data envelopment analysis in the presence of time lags

Date

2007-06-01

Author

Ozpeynirci, Ozgur
Köksalan, Mustafa Murat

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

180
views

0
downloads

Data Envelopment Analysis (DEA) is a methodology that computes efficiency values for decision making units (DMU) in a given period by comparing the outputs with the inputs. In many applications, inputs and outputs of DMUs are monitored over time. There might be a time lag between the consumption of inputs and the production of outputs. We develop an approach that aims to capture the time lag between the outputs and the inputs in assigning the efficiency values to DMUs. We propose using weight restrictions in conjunction with the model. Our computational results on randomly generated problems demonstrate that the developed approach works well under a large variety of experimental conditions. We also apply our approach on a real data set to evaluate research institutions.

Subject Keywords

Economics and Econometrics, Social Sciences (miscellaneous), Business and International Management

URI

https://hdl.handle.net/11511/56617

Journal

JOURNAL OF PRODUCTIVITY ANALYSIS

DOI

https://doi.org/10.1007/s11123-007-0037-7

Collections

Department of Industrial Engineering, Article

Suggestions

OpenMETU
Core

New approaches for performance evaluation using data envelopment analysis Özpeynirci, Nail Özgür; Köksalan, Murat; Department of Industrial Engineering (2004) Data Envelopment Analysis (DEA) assigns efficiency values to decision making units (DMU) in a given period by comparing the outputs with the inputs. In many applications, inputs and outputs of DMUs are monitored over time. There might be a time lag between the consumption of inputs and production of outputs. We develop approaches that aim to capture the time lag between the outputs and the inputs in assigning the efficiency values to DMUs. We present computational results on randomly generated problems as w...
Stochastic optimization applied to self-financing portfolio: does bequest matter? Gazioglu, Saziye; Bastiyali-Hayfavi, Azize (Informa UK Limited, 2010-01-01) The article studies stochastic optimization of an intertemporal consumption model to allocate financial assets between risky and risk-free assets. We use a stochastic optimization technique, in which utility is maximized subject to a self-financing portfolio constraint. The papers in literature have estimated the errors of Euler equations using data from financial markets. It has been shown that it is sufficient to test the first order Euler equation implied by the model. However, they all assume a constant...
Operational fixed interval scheduling problem on uniform parallel machines Bekki, Oezguen Baris; Azizoğlu, Meral (Elsevier BV, 2008-04-01) In this study, we address an operational fixed interval scheduling problem on uniform parallel machines. Our objective is to maximize the total weight of the jobs processed. We show that the problem is NP-hard in the strong sense and develop polynomial time algorithms for some special cases. We propose a branch and bound algorithm that employs dominance conditions and tight bounds. The results of our computational tests have revealed that the algorithm returns optimal solutions for problem instances with up...
SIMULATING CAPITAL INCOME TAXATION AND WELFARE UNDER A DSGE FRAMEWORK Ünal, Umut (Wroclaw University of Economics and Business, 2018-01-01) This paper develops a dynamic stochastic general equilibrium (DSGE) model for analyzing the impact of various capital income tax policies in a small open economy populated by households possessing endogenous time preferences. We contribute to the literature by studying the impacts of: i) anticipated tax shocks under stochastically growing output, ii) stochastic tax shocks under deterministic output, on our dynamic general equilibrium framework. With our model's specifications, this is the first attempt to i...
DISPLAYING UNCERTAIN INFORMATION ABOUT PROBABILITY: EXPERIMENTAL EVIDENCE Morone, Andrea; Özdemir, Özlem (Wiley, 2012-04-01) Different from previous experiments that used three representations of uncertain information for probabilities: best estimate, interval and sets of probabilities, we use visual display to represent different levels of uncertainty through varying amount of probabilistic information provided to subjects. Results confirm that the individuals willingness to pay is higher when a larger amount of information is available. Further, individuals are found uncertainty averse for high probability of gain and uncertain...

Citation Formats

O. Ozpeynirci and M. M. Köksalan, “Performance evaluation using data envelopment analysis in the presence of time lags,” JOURNAL OF PRODUCTIVITY ANALYSIS, pp. 221–229, 2007, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/56617.