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Standardised Capital Stock Estimates in Latin America: A 1950-94 Update

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  • Hofman, Andre A

Abstract

Capital stock estimates are used extensively in many areas of economic research, in spite of both theoretical and practical difficulties with respect to their use, estimation and meaning. The lack of comparable capital stock estimates in Latin America has hindered analysis of economic development in the region and comparisons with other developed and developing countries. Standardised gross and net fixed capital stock estimates for the 1950-94 period are presented for seven Latin American countries: Argentina, Brazil, Chile, Colombia, Ecuador, Mexico and Venezuela. The methodology employed is the "perpetual inventory method" which estimates capital stocks as a weighted sum of past investment flows. Several methodological issues are discussed, especially depreciation and service life estimation. Capital stocks have been disaggregated in machinery and equipment, non-residential and residential structures with services lives of 15, 40 and 50 years respectively. Copyright 2000 by Oxford University Press.

Suggested Citation

  • Hofman, Andre A, 2000. "Standardised Capital Stock Estimates in Latin America: A 1950-94 Update," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 24(1), pages 45-86, January.
    • Handle: RePEc:oup:cambje:v:24:y:2000:i:1:p:45-86
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    Cited by:

    1. Coppola, Andrea & Fernholz, Fernando & Glenday, Graham, 2014. "Estimating the economic opportunity cost of capital for public investment projects : an empirical analysis of the Mexican case," Policy Research Working Paper Series 6816, The World Bank.
    2. Jose Miguel Albala-Bertrand, 2007. "Net Capital Stock and Capital Productivity for China and Regions: 1960-2005. An Optimal Consistency Method," Working Papers 610, Queen Mary University of London, School of Economics and Finance.
    3. Qi DONG & Tomoaki MURAKAMI & Yasuhiro NAKASHIMA, 2018. "Estimating China’S Agricultural Capital Stock From 1952 To 2012," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 18(2), pages 53-70.
    4. Jose Miguel Albala-Bertrand, 2001. "A Benchmark Estimate for the Capital Stock. An Optimal Consistency Method," Working Papers 434, Queen Mary University of London, School of Economics and Finance.
    5. Kelfala M. Kallon, 2013. "Growth Empirics: Evidence from Sierra Leone," African Development Review, African Development Bank, vol. 25(2), pages 215-230, June.
    6. Passas, Costas, 2023. "Standardized capital stock estimates for the Greek economy 1948–2020," Structural Change and Economic Dynamics, Elsevier, vol. 64(C), pages 236-244.
    7. Jose Miguel Albala-Bertrand, 2007. "Net Capital Stock and Capital Productivity for China and Regions: 1960-2005. An Optimal Consistency Method," Working Papers 610, Queen Mary University of London, School of Economics and Finance.
    8. Gabriel Palma, 2000. "The Three Routes to Financial Crises: The Need for Capital Controls," SCEPA working paper series. 2000-17, Schwartz Center for Economic Policy Analysis (SCEPA), The New School.
    9. Mateo Tomé, Juan Pablo, 2014. "The accumulation of capital and economic growth in Brazil. A long-term perspective (1950-2008)," Economics Discussion Papers 2014-3, School of Economics, Kingston University London, revised 04 Mar 2015.
    10. Raphael Bergoeing & Raimundo Soto, 2005. "Testing Real Business Cycle Models in a Emerging Economy," Central Banking, Analysis, and Economic Policies Book Series, in: Rómulo A. Chumacero & Klaus Schmidt-Hebbel & Norman Loayza (Series Editor) & Klaus Schmidt-Hebbel (S (ed.),General Equilibrium Models for the Chilean Economy, edition 1, volume 9, chapter 7, pages 221-260, Central Bank of Chile.
    11. Jose Miguel Albala-Bertrand, 2001. "A Benchmark Estimate for the Capital Stock. An Optimal Consistency Method," Working Papers 434, Queen Mary University of London, School of Economics and Finance.
    12. Chen, Feng-Wen & Tan, Yulu & Chen, Fengzhang & Wu, Yong-Qiu, 2021. "Enhancing or suppressing: The effect of labor costs on energy intensity in emerging economies," Energy, Elsevier, vol. 214(C).
    13. Jose Miguel Albala-Bertrand, 2003. "An Economical Approach to Estimate a Benchmark Capital Stock. An Optimal Consistency Method," Working Papers 503, Queen Mary University of London, School of Economics and Finance.
    14. Yang, Guo-liang & Fukuyama, Hirofumi, 2018. "Measuring the Chinese regional production potential using a generalized capacity utilization indicator," Omega, Elsevier, vol. 76(C), pages 112-127.
    15. Julio Cesar Leal Ordonez, 2014. "Tax collection, the informal sector, and productivity," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 17(2), pages 262-286, April.
    16. Jose Miguel Albala-Bertrand, 2003. "An Economical Approach to Estimate a Benchmark Capital Stock. An Optimal Consistency Method," Working Papers 503, Queen Mary University of London, School of Economics and Finance.
    17. Mamatzakis, E. & Tsionas, M., 2018. "Revisiting the returns of public infrastructure in Mexico: A limited information local likelihood estimation," Economic Modelling, Elsevier, vol. 75(C), pages 132-141.
    18. Ariel Coremberg, 2008. "The Measurement of TFP in Argentina, 1990-2004: A Case of the Tyranny of Numbers, Economic Cycles and Methodology," International Productivity Monitor, Centre for the Study of Living Standards, vol. 17, pages 52-74, Fall.
    19. -, 2007. "Economic Survey of Latin America and the Caribbean 2006-2007," Estudio Económico de América Latina y el Caribe, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), number 1065 edited by Eclac, September.
    20. Silva, Nuno & Fuinhas, José Alberto & Koengkan, Matheus, 2021. "Assessing the advancement of new renewable energy sources in Latin American and Caribbean countries," Energy, Elsevier, vol. 237(C).

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