Noncompensatory/nonlinear composite indicators for ranking countries: A defensible setting

Applied Economics

Volumn 41, Issue 12, 2009, Pages 1513-1523

  Munda, Giuseppe ^a,b   Nardo, Michela ^a  

^a JOINT RESEARCH CENTRE   (Italy)

^b UNIVERSITAT AUTÒNOMA DE BARCELONA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARKING; CONCEPTUAL FRAMEWORK; DECISION ANALYSIS; ECONOMIC ANALYSIS; MULTICRITERIA ANALYSIS; NUMERICAL MODEL; POLICY MAKING;

EID: 67650309521     PISSN: 00036846     EISSN: 14664283     Source Type: Journal    
DOI: 10.1080/00036840601019364     Document Type: Article

References (64)

1. Arrow, KJ (1963) Social choice and individual values, Wiley, New York
2. Arrow, KJ and Raynaud, H. (1986) Social choice and multicriterion decision making, M.I.T. Press, Cambridge
3. Barthelemy, JP, Guenoche, A. and Hudry, O. (1989) Median linear orders: heuristics and a branch and bound algorithm. European Journal of Operational Research, 42, pp. 313-325.
4. Binner, JM, Bissoondeeal, RK and Mullineux, AW (2005) A composite leading indicator of the inflation cycle for the Euro area. Applied Economics, 37, pp. 1257-1266.
5. Binner, JM, Fielding, A. and Mullineux, AW (1999) Divisia money in a composite leading indicator of inflation. Applied Economics, 31, pp. 1021-1031.
6. Black, D. (1958) The theory of committees and elections, Cambridge University Press, Cambridge
7. de Borda, JC Mémoire sur les élections au scrutin. Histoire de l' Academie Royale des Sciences, Paris
8. Bouyssou, D. (1986) Some remarks on the notion of compensation in MCDM. European Journal of Operational Research, 26, pp. 150-160.
9. Bouyssou, D. and Vansnick, JC (1986) Noncompensatory and generalized noncompensatory preference structures. Theory and Decision, 21, pp. 251-266.
10. Charon, I., Guenoche, A., Hudry, O. and Woirgard, F. (1997) New results on the computation of median orders. Discrete Mathematics, 165166, pp. 139-153.
11. Cherchye, L. (2001) Using data envelopment analysis to assess macroeconomic policy performance. Applied Economics, 33, pp. 407-416.
12. Cohen, W., Schapire, R. and Singer, Y. (1999) Learning to order things. Journal of Artificial Intelligence Research, 10, pp. 213-270.
13. de Condorcet, M. Essai sur l'application de l'analyse a la probabilite des décisions rendues à la probabilité des voix, De l' Imprimerie Royale, Paris
14. Cox, D., Fitzpatrick, R., Fletcher, A., Gore, S., Spiegelhalter, D. and Jones, D. (1992) Quality-of-life assessment: Can we keep it simple?. Journal of the Royal Statistical Society, 155, pp. 353-393.
15. Cribari-Neto, F., Jensen, MJ and Novo, A. (1999) Research in econometric theory: Quantitative and qualitative productivity rankings. Econometric Theory, 15, pp. 719-752.
16. Davenport, A. and Kalagnanam, J. (2004) A computational study of the Kemeny rule for preference aggregation
17. Diewert, WE (1976) Exact and superlative index numbers. Journal of Econometrics, 4, pp. 115-145.
18. Dwork, C., Kumar, R., Naor, M. and Sivakumar, D. (2001) Rank aggregation methods for the web
19. Ebert, U. and Welsch, H. (2004) Meaningful environmental indices: A social choice approach. Journal of Environmental Economics and Management, 47, pp. 270-283.
20. Esty, DC, Levy, M., Srebotnjak, T. and de Sherbinin, A. (2005) Environmental Sustainability Index: Benchmarking National Environmental Stewardship, Yale Center for Environmental Law and Policy, New Haven, Conn
21. Färe, R., Grosskopf, S., Norris, M. and Zhang, Z. (1994) Productivity growth, technical progress and efficiency change in industrialised countries. American Economic Review, 84, pp. 66-83.
22. Fishburn, PC (1973) The theory of social choice, Princeton University Press, Princeton
23. Fishburn, PC, Gehrlein, WV and Maskin, E. (1979) Condorcet's proportions and Kelly's conjecture. Discrete Applied Mathematics, 1, pp. 229-252.
24. Forni, M., Hallin, M., Lippi, M. and Reichlin, L. (2001) Coincident and Leading Indicators for the Euro Area. The Economic Journal, 111, p. 62.
25. Funtowicz, SO and Ravetz, JR (1990) Uncertainty and Quality in Science for Policy, Kluwer Academic Publishers, Dordrecht
26. Granger, WJ (2001) Macroeconometrics - Past and future. Journal of Econometrics, 100, pp. 17-19.
27. Griliches, Z. (1990) Patent statistics as economic indicators. Journal of Economic Literature, 28, pp. 1661-1707.
28. Grupp, H. and Mogee, ME (2004) Indicators for national science and technology policy: How robust are composite indicators?. Research Policy, 33, pp. 1373-1384.
29. Guerard, JB (2001) A note on the forecasting effectiveness of the US leading economic indicators. Indian Economic Review, 36, pp. 251-268.
30. Huggins, R. (2003) Creating a UK competitive index: Regional and local benchmarking. Regional Studies, 37, pp. 89-96.
31. Journal of Economic and Social Measurement (2002) Special Issue on Index Number Aggregation, 28, p. Numbers 1.
32. Kemeny, J. (1959) Mathematics without numbers. Daedalus, 88, pp. 571-591.
33. Kleinknecht, A., Van Montfort, K. and Brouwer, E. (2002) The non trivial choice between innovation indicators. Economic Innovation and New Technologies, 11, pp. 109-121.
34. Lovell, CAK, Pastor, JT and Turner, JA (1995) Measuring macroeconomic performance in the OECD: A comparison of European and non-European countries. European Journal of Operational Research, 87, pp. 507-518.
35. Luce, RD (1956) Semiorders and a theory of utility discrimination. Econometrica, 24, pp. 178-191.
36. Moulin, H. (1985) From social welfare orderings to acyclic aggregation of preferences. Mathematical Social Sciences, 9, pp. 1-17.
37. Moulin, H. (1988) Axioms of co-operative decision making, Econometric Society Monographs.Cambridge University Press, Cambridge
38. Munda, G. (1995) Multicriteria evaluation in a fuzzy environment, Physica-Verlag, Contributions to Economics Series, Heidelberg
39. Munda, G. (2004) Social multi-criteria evaluation (SMCE): Methodological foundations and operational consequences. European Journal of Operational Research, 158, pp. 662-677.
40. Munda, G. (2005) Multi-criteria decision analysis and sustainable development. Multiple-Criteria Decision analysis. State of the Art Surveys, pp. 953-986. Springer International Series in Operations Research and Management Science, New York
41. Munda, G. (2006) A solution to the computational problem of linear median orders
42. Munda, G. and Nardo, M. (2006) Constructing consistent composite indicators: The issue of weights
43. Nardo, M., Saisana, M., Saltelli, A., Tarantola, S., Hoffman, A. and Giovannini, E. (2005) Handbook on constructing composite indicators: methodology and user guide
44. Nicoletti, G., Scarpetta, S. and Boylaud, O. (2000) Summary indicators of product market regulation with an extension to employment protection legislation
45. Öcal, N. (2006) Nonlinear models, composite longer leading indicator and forecasts for UK real GDP. Applied Economics, 38, pp. 1049-1053.
46. OECD (2003) Composite indicators of country performance: A critical assessment, DST/IND(2003)5, Paris
47. Podinovskii, VV (1994) Criteria importance theory. Mathematical Social Sciences, 27, pp. 237-252.
48. Roubens, M. and Vincke, Ph (1985) Preference modelling, Springer-Verlag, Heidelberg
49. Roy, B. (1996) Multicriteria methodology for decision analysis, Kluwer, Dordrecht
50. Saisana, M. and Tarantola, S. (2002) State-of-the-art report on current methodologies and practices for composite indicator development, EUR 20408 EN Report. European Commission, JRC, Ispra, Italy
51. Saltelli, A., Tarantola, S., Campolongo, F. and Ratto, M. (2004) Sensitivity Analysis in Practice. A Guide to Assessing Scientific Models, John Wiley & Sons publishers, New York
52. Todhunter, I. (1949) A history of mathematical theory of probability, Chelsea, New York
53. Truchon, M. (1995) Voting games and acyclic collective choice rules. Mathematical Social Sciences, 25, pp. 165-179.
54. Truchon, M. (1998) Figure skating and the theory of social choice, Cahier 9814 du Centre de Recherché en Economie et Finance Appliques (CREFA)
55. Truchon, M. (1998) An extension of the Condorcet criterion and Kemeny orders, Cahier 9813 du Centre de Recherche en Economie et Finance Appliquees (CREFA)
56. Vansnick, JC (1990) Measurement theory and decision aid. Readings in Multiple Criteria Decision Aid, pp. 81-100. Springer-Verlag, Berlin
57. Vidu, L. (2002) Majority cycles in a multi-dimensional setting. Economic Theory, 20, pp. 373-386.
58. Vincke, Ph (1992) Multicriteria decision aid, Wiley, New York
59. Weber, J. (2002) How many voters are needed for paradoxes?. Economic Theory, 20, pp. 341-355.
60. Wilson, JW and Jones, CP (2002) An analysis of the S&P 500 index and Cowles's extensions: Price indexes and stock returns, 1870-1999. Journal of Business, 75, pp. 505-533.
61. Young, HP (1988) Condorcet's theory of voting. American Political Science Review, 82, pp. 1231-1244.
62. Young, HP and Levenglick, A. (1978) A consistent extension of Condorcet's election principle. SIAM Journal of Applied Mathematics, 35, pp. 285-300.
63. Yu, PL (1985) Multi criteria decision making: Concepts, techniques and extensions, Plenum Press, New York
64. Zeleny, M. (1982) Multiple criteria decision making, McGraw Hill, New York