CONSENSUS & EVALUATION Giuliano Resce, Università di Roma 3
AREA OF RESEARCH Public Sector’s Performances Measures of Well-Being STEP 1 Adapt the method to the peculiarities of the Public Sector and Measures of Well-Being: Multidimensional nature Opinions 16 Novembre 2015, Dipartimento di Economia, Università di Roma 3 2
PRESENTATION Introduction to Data Envelopment Analysis Restricting weights in D EA Tools from MultiCriteria Decision Analysis Case studies 16 Novembre 2015, Dipartimento di Economia, Università di Roma 3 3
PRODUCTIVITY BENCHMARKING 16 Novembre 2015, Dipartimento di Economia, Università di Roma 3 4 Charnes, Cooper and Rhodes (Management Science, 1981)
THE CCR MODEL 16 Novembre 2015, Dipartimento di Economia, Università di Roma 3 5 subject to Charnes, Cooper, and Rhodes (European Journal of Operational Research,1978) Outputs: Inputs: Firms: Weights:
PUBLIC SECTOR COST EFFICIENCY 16 Novembre 2015, Dipartimento di Economia, Università di Roma 3 6 Fare et al. (Journal of Public Economics, 1988) subject to
ASSURANCE REGION METHOD 16 Novembre 2015, Dipartimento di Economia, Università di Roma 3 7 subject to Thompson et al. (Interface, 1986)
VALUE JUDGMENTS IN DEA Scores of sites CriterionSite S1S2S3S4S5S6S7 C C C Sum Novembre 2015, Dipartimento di Economia, Università di Roma 3 8 Y. Takamura, K. Tone (Socio-Economic Planning Sciences, 2003)
VALUE JUDGMENTS IN DEA Weights on criteria of five evaluators EvaluatorsCriterion C1C2C3Sum Evaluator Evaluator Evaluator Evaluator Evaluator Average3,83,62,6 16 Novembre 2015, Dipartimento di Economia, Università di Roma 3 9 Y. Takamura, K. Tone (Socio-Economic Planning Sciences, 2003)
VALUE JUDGMENTS IN DEA 16 Novembre 2015, Dipartimento di Economia, Università di Roma 3 10 Y. Takamura, K. Tone (Socio-Economic Planning Sciences, 2003) Weights ratios of five evaluators u1/u2u2/u3u1/u3 Evaluator 10,6670,60,4 Evaluator 2122 Evaluator 31,6671,52,5 Evaluator 40,751,33371 Evaluator 51,2545
VALUE JUDGMENTS IN DEA 16 Novembre 2015, Dipartimento di Economia, Università di Roma 3 11 subject to Y. Takamura, K. Tone (Socio-Economic Planning Sciences, 2003)
MODIFICATIONS Different bounds for different DMU Voting sistems 16 Novembre 2015, Dipartimento di Economia, Università di Roma 3 12
CASE STUDY 1 European Health for All database (HFA-DB) 16 Novembre 2015, Dipartimento di Economia, Università di Roma 3 13 World Health Organization, 2015 HFA-DB provides a selection of core health statistics covering basic demographics, health status, health determinants and risk factors, and health-care resources, utilization and expenditure in the 53 countries in the WHO European Region.
CASE STUDY 2 16 Novembre 2015, Dipartimento di Economia, Università di Roma 3 14 OECD, 2015
WHAT MATTERS MOST TO PEOPLE AROUND THE WORLD? More than users of the Better Life Index around the world have shared their views on what makes for a better life. Explore the interactive map and find out what well‐being topics are rated highest and where. Of course this is a small share of the world’s population – so why not share your vision of a better life and helpus reach (or even more) by the end of Novembre 2015, Dipartimento di Economia, Università di Roma 3 15 OECD, 2015
REFERENCES Charnes A, Cooper WW, Rhodes E. (1978) Measuring the efficiency of decision making units, European Journal of Operational Research;2:429–44. Fare R, Grosskopf S. and Lovell C.A.K. (1988) An indirect approach to the evaluation of producer performance Journal of Public Economics 37, OECD (2015) How’s life?, Paris. Thompson RG, Singleton Jr. FD, Thrall RM, Smith BA. (1986) Comparative site evaluations for locating a high-energy physics lab in Texas, Interface;16:35–49. Takamura Y, and Tone K. (2003) A comparative site evaluation study for relocating Japanese government agencies out of Tokyo, Socio- Economic Planning Sciences, Vol. 37, pp. 85–102 World Health Organization (2015) European Health for All database 16 Novembre 2015, Dipartimento di Economia, Università di Roma 3 16