Global Macroeconomic Performance: A Comparative Study Based on Composite Scores
DOI:
https://doi.org/10.6000/1929-7092.2015.04.05Keywords:
Macroeconomic Performance, Correspondence Analysis, Composite Scores, Country Rankings, Measures of Disarray, TOPSIS, Entropy.Abstract
This paper proposes a composite indicator designed to summarise in a single statistic a variety of different facets of macroeconomic performance and assesses relative performances of countries with respect to six macroeconomic variables, viz., the growth rate of real GDP, real per capita GDP, unemployment rate, fiscal balance, rate of inflation, and current account balance. An appropriate mathematical model to aggregate these variables to form composite scores has been implemented by adopting the MCDM (Multiple Criteria Decision Making) technique of TOPSIS (Technique for Order Preference by Similarity to Ideal Solution). This allows a parsimonious representation of a variety of different facets of macroeconomic performance and its inter-temporal comparison across countries. The distinctive features of the indicator relate to the domains covered, the normalisation methodology and the weights used for aggregation. Some existing indices like the Okun index and the Calmfors index turn out to be special cases of our proposed index. The data comprising a wide spectrum of countries and spanning the pre- and post- crisis years allow us to capture the effect of the recent global financial and economic crisis on the overall macroeconomic performance of countries relative to others. Not only do the relative performance scores show tremendous variability during the post-crisis years, but the measures of disarray are also at their highest, despite there being overall stability in the country rankings in terms of indicators, which are traditionally relied on, like GDP growth or per-capita GDP. A single graphical plot easily identifies countries that have performed consistently over time, and those whose overall macroeconomic performances have deteriorated sharply relative to others during the post-crisis years.References
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Bech, Eric J. 2004. “Simple Correspondence Analysis: A Bibliographic Review.” International Statistical Review 72(2):257–284.
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http://dx.doi.org/10.2307/1344503
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http://dx.doi.org/10.2307/3809276
Crockett, A and M Goldstein. 1987. “Indicators of Policies and Economic Performance. Strengthening the International Monetary System: Exchange Rates,Surveillance and Objective Indicators.” IMF Occasional Papers 50.
Deng, J L. 1989. “Introduction to the Grey System Theory.” J Grey Syst 1:1-24.
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http://dx.doi.org/10.1016/S0305-0548(99)00069-6
Denhart, Matthew and Amity Shales. 2012. “Deflation and the Misery Index.” George W Bush Foundation, February 22.
Diaconis, P and R L. Graham. 1977. “Spearman’s Footrule as a Measure of Disarray.” Journal of the Royal Statistical Society, Series B (Methodological) 39:262-268.
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http://dx.doi.org/10.1016/S0304-3800(02)00327-7
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http://dx.doi.org/10.1016/j.amc.2005.08.048
Kendall, M.G. 1972. “The History and Future of Statistics.” Pp. 193-210 in Statistical Papers in Honor of George W. Snedecor. Ames, Iowa: The Iowa State University Press.
Koopmans, T C. 1951. “An Analysis of Production as an Efficient Combination of Activities.” in Activity Analysis of Production and Allocation. Jhon Wiley and Sons, Inc.
Legendre, P and L Legendre. 1998. Numerical Ecology. Amsterdam: Elsevier.
Lertprapai, Satinee. 2013. “Review: Multiple Criteria Decision Making Method with Applications.” International mathematical Forum 8(7):347-355.
Lovell, C.A. K., Jesus T. Pastor, and Judi A. Turner. 1995. “Measuring Macroeconomic Performance in the OECD: A Comparison of European and Non-European Countries.” European Journal of Operational Research 87(3):507-518.
http://dx.doi.org/10.1016/0377-2217(95)00226-X
Maasoumi, E. 1993. “A Compendium to Information Theory in Economics and Econometrics.” Econometric Reviews 12(2):137-181.
http://dx.doi.org/10.1080/07474939308800260
Mahalanobis, P C. 1936. “On the Generalised Distance in Statistics.” (www.new1.dli.ernet.in/data1/upload/insa/INSA_1/20006193_49.pdf).
Moesen, Wim and Laurens Cherchye. 1998. “The Macroeconomic Performance of Nations: Measurement and Perception.” (http://www.econ.kuleuven.be/eng/ew/discussionpapers/Dps98/Dps9822.pdf).
Nayyar, Deepak. 2011. “Rethinking Macroeconomic Policies for Development.” Brazilian Journal of Political Economy 31(3):339-351.
Okun, Arthur M. 1970. Political Economy Of Prosperity. W. W. Norton and Company, Inc.
Okun, Arthur M. 1978. Curing Chronic Inflation. Brookings Institution.
Okun, Arthur M. 1981. Prices and Quantities: A Macroeconomic Analysis. Brookings Institution Press.
Opricovic, S and G H. Tzend. 2004. “Compromise Solution by MCDM methods: a Comparative Analysis of VIKOR and TOPSIS.” European Journal of Operations Research 156:445-455.
http://dx.doi.org/10.1016/S0377-2217(03)00020-1
Schmitt-Grohe, Stephanie and Martin Uribe. 2010. “The Optimal Rate of Inflation.” National Bureau of Economic Research Working Paper 16054.
Sinclair, Peter. 2003. “The Optimal Rate of Inflation: An Academic Perspective.” Bank of England Quarterly Bulletin.
Sleigh, J W., E Olofsen, A Dahan, J D. Goede, and A Steyn-Ross. 2001. “Entropies of The EEG: The Effects Of General Anaesthesia.”.
Socorro García-Cascales, M and M Teresa Lamata. 2012. “On Rank Reversal and TOPSIS Method.” Mathematical and Computer Modelling 56(5-6):123-132.
http://dx.doi.org/10.1016/j.mcm.2011.12.022
Stiglitz, Joseph and Amartya Sen. 2009. “Report by the Commission on the Measurement of Economic Performance and Social Progress.” (http://www.stiglitz-sen-fitoussi.fr.).
Stiglitz, J, A Sen, and J Fitoussi. 2009. “The Measurement of Economic Performance and Social Progress Revisited: Reflections and Overview.” Commission on the Measurement of Economic Performance and Social Progress.
Tella, Rafael D., Robert J. Macculloch, and Andrew J. Oswald. 2001. “Preferences over Inflation and Unemployment: Evidence from Surveys of Happiness.” American Economic Review 91(1):335-341.
http://dx.doi.org/10.1257/aer.91.1.335
Triantaphyllou, Evangelos. 2000. Multi-Criteria Decision Making Methods: A Comparative Study. Springer.
http://dx.doi.org/10.1007/978-1-4757-3157-6
Welsch, Heinz. 2011. “The Magic Triangle of Macroeconomics: How Do European Countries Score?” Oxford Economic Papers 63(1):71-93.
http://dx.doi.org/10.1093/oep/gpq020
Zeleny, M. 1982. Multiple Criteria Decision Making. New York: McGraw-hill.
Bar-Ilan, J, M Levene, and A Lin. 2007. “Some Measures for Com-paring Citation Databases.” Journal of Informetrics 1:26-34.
http://dx.doi.org/10.1016/j.joi.2006.08.001
Bar-Ilan, Judit, Mazlita Mat-Hassan, and Mark Levene. 2006. “Methods for Comparing Rankings of Search Engine Results.” Computer Networks 50:1448-1463.
http://dx.doi.org/10.1016/j.comnet.2005.10.020
Barro, Barro J. and David B. Gordon. 1983. “A Positive Theory of Monetary Policy in a Natural Rate Model.” Journal of Political Economy 91(4):589-610.
http://dx.doi.org/10.1086/261167
Basu, Kaushik, Supriyo De, Rangeet Ghosh, and Shweta. 2011. “The Evolving Dynamics of Global Economic Power in the Post-Crisis World: Revelations from a New Index of Government Economic Power.” Ministry of Finance, Government of India.
Bech, Eric J. 2004. “Simple Correspondence Analysis: A Bibliographic Review.” International Statistical Review 72(2):257–284.
Blanchard, Oliver J. and Stanley Fischer. 1989. Lectures on Macroeconomics. MIT Press.
Burda, Michael C. and Charles Wyplosz. 1993. Macroeconomics : a European Text. Oxford: Oxford University Press.
Calmfors, L and J Driffill. 1988. “Bargaining Structure, Corporatism and Macroeconomic Performance.” Economic Policy 6:13-61.
http://dx.doi.org/10.2307/1344503
Clark, J D., J E. Dunn, and K G. Smith. 1993. “A Multivariate Model of Female Black Bear Habitat Use for a Geographic Information System.” Journal of Wildlife Management 57:519-526.
http://dx.doi.org/10.2307/3809276
Crockett, A and M Goldstein. 1987. “Indicators of Policies and Economic Performance. Strengthening the International Monetary System: Exchange Rates,Surveillance and Objective Indicators.” IMF Occasional Papers 50.
Deng, J L. 1989. “Introduction to the Grey System Theory.” J Grey Syst 1:1-24.
Deng, Hepu, Chung-Hsing Yeh, and Robert J. Willis. 2000. “Inter-Company Comparison Using Modified TOPSIS with Objective Weights.” Computers & Operations Research 27:963-973.
http://dx.doi.org/10.1016/S0305-0548(99)00069-6
Denhart, Matthew and Amity Shales. 2012. “Deflation and the Misery Index.” George W Bush Foundation, February 22.
Diaconis, P and R L. Graham. 1977. “Spearman’s Footrule as a Measure of Disarray.” Journal of the Royal Statistical Society, Series B (Methodological) 39:262-268.
Dwork, Cynthia, Ravi Kumar, Moni Naor, and D Sivakumar. 2001. “Rank Aggregation Revisited.” (http://cs.brown.edu/courses/ csci2531/papers/rank2.pdf).
Fagin, R, R Kumar, and D Sivakumar. 2003. “Comparing Top K Lists.” SIAM Journal on Discrete Mathematics 17(1):134-160.
http://dx.doi.org/10.1137/S0895480102412856
Farber, Oren and Ronen Kadmon. 2003. “Assessment of Alternative Approaches for Bioclimatic Modeling with Special Emphasis on the Mahalanobis Distance.” Ecological Modelling 160:115-130.
http://dx.doi.org/10.1016/S0304-3800(02)00327-7
Golan, Amos. 2006. “Information and Entropy Econometrics —A Review and Synthesis.” Foundations and Trends in Econometrics 2:1-145.
http://dx.doi.org/10.1561/0800000004
Graf, Hans G. 2002. Economic Forecasting for Management: Possibilities and Limitations. Praeger.
Greenacre, M J. 1984. Theory and Applications of Correspondence Analysis. London: Academic Press.
Greenacre, Michael J. 1993. “Biplots in Correspondence Analysis.” Journal of Applied Statistics 20(2):251-269.
http://dx.doi.org/10.1080/02664769300000021
Greenacre, Michael. 2002. “The Use of Correspondence Analysis in the Exploration of Health Survey Data.” Fundación BBVA.
Hall, Robert E. and John B. Taylor. 1997. Macro Economics. W.W. Norton & Company.
Hoffman, Donna L. and George R. Franke. 1986. “Correspondence Analysis: Graphical Representation of Categorical Data in Marketing Research.” Journal of Marketing Research 23(3):213-227.
http://dx.doi.org/10.2307/3151480
Hwang, C L. and K Yoon. 1981. Multiple Attribute Decision Making: Methods and Applications. Berlin: Springer-Verlag.
http://dx.doi.org/10.1007/978-3-642-48318-9
Jahanshahloo, G R., F Hosseinzadeh, and M L. Izadikhah. 2006. “An Algorithmic Method to extend TOPSIS for Decision Making Problem with Interval Data.” Applied Mathematics and Computation 175:1375-1384.
http://dx.doi.org/10.1016/j.amc.2005.08.048
Kendall, M.G. 1972. “The History and Future of Statistics.” Pp. 193-210 in Statistical Papers in Honor of George W. Snedecor. Ames, Iowa: The Iowa State University Press.
Koopmans, T C. 1951. “An Analysis of Production as an Efficient Combination of Activities.” in Activity Analysis of Production and Allocation. Jhon Wiley and Sons, Inc.
Legendre, P and L Legendre. 1998. Numerical Ecology. Amsterdam: Elsevier.
Lertprapai, Satinee. 2013. “Review: Multiple Criteria Decision Making Method with Applications.” International mathematical Forum 8(7):347-355.
Lovell, C.A. K., Jesus T. Pastor, and Judi A. Turner. 1995. “Measuring Macroeconomic Performance in the OECD: A Comparison of European and Non-European Countries.” European Journal of Operational Research 87(3):507-518.
http://dx.doi.org/10.1016/0377-2217(95)00226-X
Maasoumi, E. 1993. “A Compendium to Information Theory in Economics and Econometrics.” Econometric Reviews 12(2):137-181.
http://dx.doi.org/10.1080/07474939308800260
Mahalanobis, P C. 1936. “On the Generalised Distance in Statistics.” (www.new1.dli.ernet.in/data1/upload/insa/INSA_1/20006193_49.pdf).
Moesen, Wim and Laurens Cherchye. 1998. “The Macroeconomic Performance of Nations: Measurement and Perception.” (http://www.econ.kuleuven.be/eng/ew/discussionpapers/Dps98/Dps9822.pdf).
Nayyar, Deepak. 2011. “Rethinking Macroeconomic Policies for Development.” Brazilian Journal of Political Economy 31(3):339-351.
Okun, Arthur M. 1970. Political Economy Of Prosperity. W. W. Norton and Company, Inc.
Okun, Arthur M. 1978. Curing Chronic Inflation. Brookings Institution.
Okun, Arthur M. 1981. Prices and Quantities: A Macroeconomic Analysis. Brookings Institution Press.
Opricovic, S and G H. Tzend. 2004. “Compromise Solution by MCDM methods: a Comparative Analysis of VIKOR and TOPSIS.” European Journal of Operations Research 156:445-455.
http://dx.doi.org/10.1016/S0377-2217(03)00020-1
Schmitt-Grohe, Stephanie and Martin Uribe. 2010. “The Optimal Rate of Inflation.” National Bureau of Economic Research Working Paper 16054.
Sinclair, Peter. 2003. “The Optimal Rate of Inflation: An Academic Perspective.” Bank of England Quarterly Bulletin.
Sleigh, J W., E Olofsen, A Dahan, J D. Goede, and A Steyn-Ross. 2001. “Entropies of The EEG: The Effects Of General Anaesthesia.”.
Socorro García-Cascales, M and M Teresa Lamata. 2012. “On Rank Reversal and TOPSIS Method.” Mathematical and Computer Modelling 56(5-6):123-132.
http://dx.doi.org/10.1016/j.mcm.2011.12.022
Stiglitz, Joseph and Amartya Sen. 2009. “Report by the Commission on the Measurement of Economic Performance and Social Progress.” (http://www.stiglitz-sen-fitoussi.fr.).
Stiglitz, J, A Sen, and J Fitoussi. 2009. “The Measurement of Economic Performance and Social Progress Revisited: Reflections and Overview.” Commission on the Measurement of Economic Performance and Social Progress.
Tella, Rafael D., Robert J. Macculloch, and Andrew J. Oswald. 2001. “Preferences over Inflation and Unemployment: Evidence from Surveys of Happiness.” American Economic Review 91(1):335-341.
http://dx.doi.org/10.1257/aer.91.1.335
Triantaphyllou, Evangelos. 2000. Multi-Criteria Decision Making Methods: A Comparative Study. Springer.
http://dx.doi.org/10.1007/978-1-4757-3157-6
Welsch, Heinz. 2011. “The Magic Triangle of Macroeconomics: How Do European Countries Score?” Oxford Economic Papers 63(1):71-93.
http://dx.doi.org/10.1093/oep/gpq020
Zeleny, M. 1982. Multiple Criteria Decision Making. New York: McGraw-hill.
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2015-03-13
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Chattopadhyay, S., & Bose, S. (2015). Global Macroeconomic Performance: A Comparative Study Based on Composite Scores. Journal of Reviews on Global Economics, 4, 51–68. https://doi.org/10.6000/1929-7092.2015.04.05
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