IDEAS home Printed from https://ideas.repec.org/a/eee/ejores/v204y2010i3p672-682.html
   My bibliography  Save this article

An alternative approach to monetary aggregation in DEA

Author

Listed:
  • Sahoo, Biresh K.
  • Acharya, Debashis

Abstract

This paper proposes a set of alternative DEA-based money indices that are proved to be both theoretically and empirically competing monetary aggregates since they perform as good as the Divisia aggregates. Based on all the results concerning causality, forecasting and money demand, we conclude that DEA money aggregates prove to be at least competing alternatives to the Divisia aggregates, and hence, suggest that these new aggregates may be considered along with the existing weighted monetary aggregates like the Divisia ones. Given the inherent benefit of the doubt weighting mechanism underlying the DEA models where the optimal weight assigned by DEA to each monetary asset reflects the ongoing financial innovation and the Reserve Bank of India's policy priority in the distribution of total liquidity, we feel that the DEA money indices can truly capture the liquidity better with ongoing financial innovations in the economy.

Suggested Citation

  • Sahoo, Biresh K. & Acharya, Debashis, 2010. "An alternative approach to monetary aggregation in DEA," European Journal of Operational Research, Elsevier, vol. 204(3), pages 672-682, August.
  • Handle: RePEc:eee:ejores:v:204:y:2010:i:3:p:672-682
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0377-2217(09)00909-6
    Download Restriction: Full text for ScienceDirect subscribers only

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Akihiro Hashimoto & Migaku Kodama, 1997. "Has Livability of Japan Gotten Better for 1956–1990?: a Dea Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 40(3), pages 359-373, May.
    2. Michael E. Bradbury & Paul Rouse, 2002. "An Application of Data Envelopment Analysis to the Evaluation of Audit Risk," Abacus, Accounting Foundation, University of Sydney, vol. 38(2), pages 263-279.
    3. Knox Lovell, C. A. & Pastor, Jesus T., 1997. "Target setting: An application to a bank branch network," European Journal of Operational Research, Elsevier, vol. 98(2), pages 290-299, April.
    4. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 39(3), pages 106-135.
    5. Pilar Murias & Fidel Martinez & Carlos Miguel, 2006. "An Economic Wellbeing Index for the Spanish Provinces: A Data Envelopment Analysis Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 77(3), pages 395-417, July.
    6. Tone, Kaoru & Sahoo, Biresh K., 2003. "Scale, indivisibilities and production function in data envelopment analysis," International Journal of Production Economics, Elsevier, vol. 84(2), pages 165-192, May.
    7. Sahoo, Biresh K. & Tone, Kaoru, 2009. "Decomposing capacity utilization in data envelopment analysis: An application to banks in India," European Journal of Operational Research, Elsevier, vol. 195(2), pages 575-594, June.
    8. Pesaran, M. H. & Shin, Y. & Smith, R. J., 1996. "Testing for the 'Existence of a Long-run Relationship'," Cambridge Working Papers in Economics 9622, Faculty of Economics, University of Cambridge.
    9. Laurens Cherchye & Wim Moesen & Tom Puyenbroeck, 2004. "Legitimately Diverse, yet Comparable: On Synthesizing Social Inclusion Performance in the EU," Journal of Common Market Studies, Wiley Blackwell, vol. 42(5), pages 919-955, December.
    10. Chetty, V Karuppan, 1969. "On Measuring the Nearness of the Near-Moneys," American Economic Review, American Economic Association, vol. 59(3), pages 270-281, June.
    11. Hashimoto, Akihiro & Ishikawa, Hitoshi, 1993. "Using DEA to evaluate the state of society as measured by multiple social indicators," Socio-Economic Planning Sciences, Elsevier, vol. 27(4), pages 257-268, December.
    12. Nurhan Davutyan & Lerzan Kavut, 2005. "An application of data envelopment analysis to the evaluation of audit risk: a reinterpretation," Abacus, Accounting Foundation, University of Sydney, vol. 41(3), pages 290-306.
    13. Tone, Kaoru & Sahoo, Biresh K., 2005. "Evaluating cost efficiency and returns to scale in the Life Insurance Corporation of India using data envelopment analysis," Socio-Economic Planning Sciences, Elsevier, vol. 39(4), pages 261-285, December.
    14. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    15. Laurens Cherchye & Willem Moesen & Nicky Rogge & Tom Puyenbroeck, 2007. "An Introduction to ‘Benefit of the Doubt’ Composite Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 82(1), pages 111-145, May.
    16. Lovell, C. A. Knox & Pastor, Jesus T., 1999. "Radial DEA models without inputs or without outputs," European Journal of Operational Research, Elsevier, vol. 118(1), pages 46-51, October.
    17. Zhu, Joe, 2001. "Multidimensional quality-of-life measure with an application to Fortune's best cities," Socio-Economic Planning Sciences, Elsevier, vol. 35(4), pages 263-284, December.
    18. Knox Lovell, C. A., 1995. "Measuring the macroeconomic performance of the Taiwanese economy," International Journal of Production Economics, Elsevier, vol. 39(1-2), pages 165-178, April.
    19. Thanassoulis, E. & Boussofiane, A. & Dyson, R. G., 1996. "A comparison of data envelopment analysis and ratio analysis as tools for performance assessment," Omega, Elsevier, vol. 24(3), pages 229-244, June.
    20. Charnes, A. & Cooper, W. W. & Huang, Z. M. & Sun, D. B., 1990. "Polyhedral Cone-Ratio DEA Models with an illustrative application to large commercial banks," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 73-91.
    21. Kortelainen, Mika, 2008. "Dynamic environmental performance analysis: A Malmquist index approach," Ecological Economics, Elsevier, vol. 64(4), pages 701-715, February.
    22. Diewert, W. E., 1976. "Exact and superlative index numbers," Journal of Econometrics, Elsevier, vol. 4(2), pages 115-145, May.
    23. Knox Lovell, C. A. & Pastor, Jesus T. & Turner, Judi A., 1995. "Measuring macroeconomic performance in the OECD: A comparison of European and non-European countries," European Journal of Operational Research, Elsevier, vol. 87(3), pages 507-518, December.
    24. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    25. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    26. Barnett, William A., 1980. "Economic monetary aggregates an application of index number and aggregation theory," Journal of Econometrics, Elsevier, vol. 14(1), pages 11-48, September.
    27. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    28. Thompson, Russell G. & Langemeier, Larry N. & Lee, Chih-Tah & Lee, Euntaik & Thrall, Robert M., 1990. "The role of multiplier bounds in efficiency analysis with application to Kansas farming," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 93-108.
    29. Granger, C W J, 1969. "Investigating Causal Relations by Econometric Models and Cross-Spectral Methods," Econometrica, Econometric Society, vol. 37(3), pages 424-438, July.
    30. Tone, Kaoru & Sahoo, Biresh K., 2004. "Degree of scale economies and congestion: A unified DEA approach," European Journal of Operational Research, Elsevier, vol. 158(3), pages 755-772, November.
    31. Michael Barrow & Adam Wagstaff, 1989. "Efficiency measurement in the public sector: an appraisal," Fiscal Studies, Institute for Fiscal Studies, vol. 10(1), pages 72-97, February.
    32. Feige, Edgar L & Pearce, Douglas K, 1977. "The Substitutability of Money and Near-Monies: A Survey of the Time-Series Evidence," Journal of Economic Literature, American Economic Association, vol. 15(2), pages 439-469, June.
    33. Zhou, P. & Ang, B.W. & Poh, K.L., 2007. "A mathematical programming approach to constructing composite indicators," Ecological Economics, Elsevier, vol. 62(2), pages 291-297, April.
    34. Ramanathan, Ramakrishnan, 2006. "Evaluating the comparative performance of countries of the Middle East and North Africa: A DEA application," Socio-Economic Planning Sciences, Elsevier, vol. 40(2), pages 156-167, June.
    35. Kaoru Tone & Biresh Sahoo, 2006. "Re-examining scale elasticity in DEA," Annals of Operations Research, Springer, vol. 145(1), pages 69-87, July.
    36. Laurens Cherchye, 2001. "Using data envelopment analysis to assess macroeconomic policy performance," Applied Economics, Taylor & Francis Journals, vol. 33(3), pages 407-416.
    37. Hashimoto, Akihiro, 1997. "A ranked voting system using a DEA/AR exclusion model: A note," European Journal of Operational Research, Elsevier, vol. 97(3), pages 600-604, March.
    38. Cherchye, Laurens & Knox Lovell, C.A. & Moesen, Wim & Van Puyenbroeck, Tom, 2007. "One market, one number? A composite indicator assessment of EU internal market dynamics," European Economic Review, Elsevier, vol. 51(3), pages 749-779, April.
    39. Barnett, William A, 1982. "The Optimal Level of Monetary Aggregation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 14(4), pages 687-710, November.
    40. Golany, Boaz & Thore, Sten, 1997. "The Economic and Social Performance of Nations: Efficiency and Returns to Scale," Socio-Economic Planning Sciences, Elsevier, vol. 31(3), pages 191-204, September.
    41. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    42. E. Grifell-Tatjé & C. Lovell & J. Pastor, 1998. "A Quasi-Malmquist Productivity Index," Journal of Productivity Analysis, Springer, vol. 10(1), pages 7-20, July.
    43. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    44. Sahoo, Biresh K. & Tone, Kaoru, 2009. "Radial and non-radial decompositions of profit change: With an application to Indian banking," European Journal of Operational Research, Elsevier, vol. 196(3), pages 1130-1146, August.
    45. Barnett, William A., 1978. "The user cost of money," Economics Letters, Elsevier, vol. 1(2), pages 145-149.
    46. Boughton, James M., 1981. "Money and its substitutes," Journal of Monetary Economics, Elsevier, vol. 8(3), pages 375-386.
    47. Bellenger, Moriah J. & Herlihy, Alan T., 2009. "An economic approach to environmental indices," Ecological Economics, Elsevier, vol. 68(8-9), pages 2216-2223, June.
    48. Wade D. Cook & Moshe Kress, 1990. "A Data Envelopment Model for Aggregating Preference Rankings," Management Science, INFORMS, vol. 36(11), pages 1302-1310, November.
    49. Emel, Ahmet Burak & Oral, Muhittin & Reisman, Arnold & Yolalan, Reha, 2003. "A credit scoring approach for the commercial banking sector," Socio-Economic Planning Sciences, Elsevier, vol. 37(2), pages 103-123, June.
    50. Pilar Murias & José Miguel & David Rodríguez, 2008. "A Composite Indicator for University Quality Assesment: The Case of Spanish Higher Education System," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 89(1), pages 129-146, October.
    51. Storrie, Donald & Bjurek, Hans, 2000. "Benchmarking European labour market performance with efficiency frontier techniques," Discussion Papers, Research Unit: Labor Market Policy and Employment FS I 00-211, Social Science Research Center Berlin (WZB).
    52. Rajiv D. Banker, 1993. "Maximum Likelihood, Consistency and Data Envelopment Analysis: A Statistical Foundation," Management Science, INFORMS, vol. 39(10), pages 1265-1273, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Biresh K Sahoo & Ramadhar Singh & Bineet Mishra & Krithiga Sankaran, 2015. "Research Productivity in Management Schools of India: A Directional Benefit-of-Doubt Model Analysis," Working Papers id:7139, eSocialSciences.
    2. Mehdiloozad, Mahmood & Sahoo, Biresh K. & Roshdi, Israfil, 2014. "A generalized multiplicative directional distance function for efficiency measurement in DEA," European Journal of Operational Research, Elsevier, vol. 232(3), pages 679-688.
    3. Rudra Sensarma & Indranil Bhattacharyya, 2016. "Measuring monetary policy and its impact on the bond market of an emerging economy," Macroeconomics and Finance in Emerging Market Economies, Taylor & Francis Journals, vol. 9(2), pages 109-130, July.
    4. Fusco, Elisa, 2015. "Enhancing non-compensatory composite indicators: A directional proposal," European Journal of Operational Research, Elsevier, vol. 242(2), pages 620-630.
    5. Sahoo, Biresh K. & Luptacik, Mikulas & Mahlberg, Bernhard, 2011. "Alternative measures of environmental technology structure in DEA: An application," European Journal of Operational Research, Elsevier, vol. 215(3), pages 750-762, December.
    6. Sahoo, Biresh K. & Tone, Kaoru, 2013. "Non-parametric measurement of economies of scale and scope in non-competitive environment with price uncertainty," Omega, Elsevier, vol. 41(1), pages 97-111.
    7. Mohanty, Ranjan Kumar & Sahoo, Biresh K., 2017. "Examining the Eco-Macroeconomic Performance Index of India: A Data Envelopment Analysis Approach," Working Papers 17/202, National Institute of Public Finance and Policy.
    8. Sahoo, Biresh K. & Mehdiloozad, Mahmood & Tone, Kaoru, 2014. "Cost, revenue and profit efficiency measurement in DEA: A directional distance function approach," European Journal of Operational Research, Elsevier, vol. 237(3), pages 921-931.
    9. Sahoo, Biresh K. & Singh, Ramadhar & Mishra, Bineet & Sankaran, Krithiga, 2017. "Research productivity in management schools of India during 1968-2015: A directional benefit-of-doubt model analysis," Omega, Elsevier, vol. 66(PA), pages 118-139.
    10. Friesner, Daniel & Mittelhammer, Ron & Rosenman, Robert, 2013. "Inferring the incidence of industry inefficiency from DEA estimates," European Journal of Operational Research, Elsevier, vol. 224(2), pages 414-424.

    More about this item

    Keywords

    DEA Money Index Divisia index;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ejores:v:204:y:2010:i:3:p:672-682. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu). General contact details of provider: http://www.elsevier.com/locate/eor .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.