[go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/a/eaa/aeinde/v24y2024i2_7.html
   My bibliography  Save this article

Estimation Of A Production Function Of Brazil With Domestic And Foreign Capital Stock, 1991-2017

Author

Listed:
  • Thomas H.W. ZIESEMER
Abstract
We estimate a Cobb-Douglas production function distinguishing between a domestic and a foreign capital stock built from data of imported machinery and transport equipment for Brazil. Some autoregressive models (AR(I)MAX) in log levels are estimated by the nonlinear General Method of Moments. The elasticity of production of foreign capital is about 40% of that of domestic capital; the function has about constant returns to scale in capital and labour variables, and human capital and technical change are also highly productive. Estimations based on preferred ARDL models and FMOLS yield higher elasticities of production for foreign capital goods. Having more observations in the future will allow better exploitation of the automatic lag length choice.

Suggested Citation

  • Thomas H.W. ZIESEMER, 2024. "Estimation Of A Production Function Of Brazil With Domestic And Foreign Capital Stock, 1991-2017," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 24(2), pages 103-128.
  • Handle: RePEc:eaa:aeinde:v:24:y:2024:i:2_7
    as

    Download full text from publisher

    File URL: http://www.usc.es/~economet/reviews/aeid2427.pdf
    Download Restriction: No
    ---><---

    References listed on IDEAS

    as
    1. Thomas Ziesemer, 2023. "Labour-augmenting technical change data for alternative elasticities of substitution: growth, slowdown, and distribution dynamics," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 32(4), pages 449-475, May.
    2. Thomas H. W. Ziesemer, 2023. "Semi-endogenous growth in a non-Walrasian DSEM for Brazil: estimation and simulation of changes in foreign income, human capital, R&D, and terms of trade," Economic Change and Restructuring, Springer, vol. 56(2), pages 1147-1183, April.
    3. Robert M. Solow, 1956. "A Contribution to the Theory of Economic Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 70(1), pages 65-94.
    4. Fagerberg, Jan, 1994. "Technology and International Differences in Growth Rates," Journal of Economic Literature, American Economic Association, vol. 32(3), pages 1147-1175, September.
    5. Ziesemer, Thomas, 1995. "Growth with imported capital goods, limited export demand and foreign debt," Journal of Macroeconomics, Elsevier, vol. 17(1), pages 31-53.
    6. Dennis Epple & Bennett T. Mccallum, 2006. "Simultaneous Equation Econometrics: The Missing Example," Economic Inquiry, Western Economic Association International, vol. 44(2), pages 374-384, April.
    7. Francisco L. Rivera-Batiz & Luis A. Rivera-Batiz, 2018. "International Trade with Endogenous Technological Change," World Scientific Book Chapters, in: Francisco L Rivera-Batiz & Luis A Rivera-Batiz (ed.), International Trade, Capital Flows and Economic Development, chapter 2, pages 33-70, World Scientific Publishing Co. Pte. Ltd..
    8. Revankar, Nagesh S, 1971. "A Class of Variable Elasticity of Substitution Production Functions," Econometrica, Econometric Society, vol. 39(1), pages 61-71, January.
    9. Taylor, A. M. Robert, 2005. "Variance ratio tests of the seasonal unit root hypothesis," Journal of Econometrics, Elsevier, vol. 124(1), pages 33-54, January.
    10. Bildirici, M., 2004. "Political Instability and Growth: An Econometric Analysis of Turkey, Mexico, Argentina and Brazil, 1985-2004," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 4(4).
    11. David Roodman, 2009. "A Note on the Theme of Too Many Instruments," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(1), pages 135-158, February.
    12. Francisco L. Rivera-Batiz & Luis A. Rivera-Batiz, 2018. "Integration among Unequals," World Scientific Book Chapters, in: Francisco L Rivera-Batiz & Luis A Rivera-Batiz (ed.), International Trade, Capital Flows and Economic Development, chapter 4, pages 83-104, World Scientific Publishing Co. Pte. Ltd..
    13. Barro, Robert J. & Lee, Jong Wha, 2013. "A new data set of educational attainment in the world, 1950–2010," Journal of Development Economics, Elsevier, vol. 104(C), pages 184-198.
    14. Jin Seo Cho & Matthew Greenwood‐Nimmo & Yongcheol Shin, 2023. "Recent developments of the autoregressive distributed lag modelling framework," Journal of Economic Surveys, Wiley Blackwell, vol. 37(1), pages 7-32, February.
    15. Pesaran, M. Hashem, 2015. "Time Series and Panel Data Econometrics," OUP Catalogue, Oxford University Press, number 9780198759980.
    16. V. Mukerji, 1963. "A Generalized S.M.A.C. Function with Constant Ratios of Elasticity of Substitution," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 30(3), pages 233-236.
    17. Keane, Michael & Neal, Timothy, 2023. "Instrument strength in IV estimation and inference: A guide to theory and practice," Journal of Econometrics, Elsevier, vol. 235(2), pages 1625-1653.
    18. Andre Cutrim CARVALHO & David Ferreira CARVALHO, 2019. "Econometric Models Of Inflation In Brazil: Structuralists, Monetarists And Rational Expectations Approachs, 1995-2017," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 19(2), pages 91-106.
    19. repec:bla:econom:v:37:y:1970:i:148:p:373-85 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Thomas H. W. Ziesemer, 2023. "Semi-endogenous growth in a non-Walrasian DSEM for Brazil: estimation and simulation of changes in foreign income, human capital, R&D, and terms of trade," Economic Change and Restructuring, Springer, vol. 56(2), pages 1147-1183, April.
    2. Bloom, David E. & Canning, David & Kotschy, Rainer & Prettner, Klaus & Schünemann, Johannes, 2024. "Health and economic growth: Reconciling the micro and macro evidence," World Development, Elsevier, vol. 178(C).
    3. Thomas Ziesemer, 2023. "Labour-augmenting technical change data for alternative elasticities of substitution: growth, slowdown, and distribution dynamics," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 32(4), pages 449-475, May.
    4. Baharumshah, Ahmad Zubaidi & Slesman, Ly & Wohar, Mark E., 2016. "Inflation, inflation uncertainty, and economic growth in emerging and developing countries: Panel data evidence," Economic Systems, Elsevier, vol. 40(4), pages 638-657.
    5. Bayraktar-Sağlam, Bahar & Yetkiner, Hakan, 2014. "A Romerian contribution to the empirics of economic growth," Journal of Policy Modeling, Elsevier, vol. 36(2), pages 257-272.
    6. Bravo-Ortega, Claudio & García Marín, Álvaro, 2011. "R&D and Productivity: A Two Way Avenue?," World Development, Elsevier, vol. 39(7), pages 1090-1107, July.
    7. Kufenko, Vadim & Prettner, Klaus, 2016. "You can't always get what you want? Estimator choice and the speed of convergence," Hohenheim Discussion Papers in Business, Economics and Social Sciences 20-2016, University of Hohenheim, Faculty of Business, Economics and Social Sciences.
    8. Thomas Ziesemer, 2018. "Testing the Growth Links of Emerging Economies: Croatia in a Growing World Economy," Bulletin of Applied Economics, Risk Market Journals, vol. 5(1), pages 1-27.
    9. Kufenko, Vadmin & Prettner, Klaus, 2017. "You can't always get what you want? A Monte Carlo analysis of the bias and the efficiency of dynamic panel data estimators," ECON WPS - Working Papers in Economic Theory and Policy 07/2017, TU Wien, Institute of Statistics and Mathematical Methods in Economics, Economics Research Unit.
    10. Ziesemer, Thomas, 2022. "Linking the BOPC growth model with foreign debt dynamics to the goods and labour markets," MERIT Working Papers 2022-029, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    11. Rainer Kotschy & Uwe Sunde & Tommaso MonacelliManaging Editor, 2018. "Can education compensate the effect of population ageing on macroeconomic performance?," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 33(96), pages 587-634.
    12. Vadim Kufenko & Klaus Prettner, 2021. "Do you know your biases? A Monte Carlo analysis of dynamic panel data estimators," Department of Economics Working Papers wuwp316, Vienna University of Economics and Business, Department of Economics.
    13. Thomas H. W. Ziesemer, 2021. "Semi-endogenous growth models with domestic and foreign private and public R&D linked to VECMs," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 30(6), pages 621-642, August.
    14. Thomas H. W. Ziesemer, 2024. "Mission-oriented R&D and growth of Japan 1988–2016: a comparison with private and public R&D," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 33(2), pages 218-247, February.
    15. Farid Gasmi & Laura Recuero Virto & Denis Couvet, 2020. "The Impact of Renewable Versus Non-renewable Natural Capital on Economic Growth," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 77(2), pages 271-333, October.
    16. Ulaşan, Bülent, 2012. "Cross-country growth empirics and model uncertainty: An overview," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 6, pages 1-69.
    17. Bellocchi, Alessandro & Travaglini, Giuseppe, 2023. "Can variable elasticity of substitution explain changes in labor shares?," Journal of Macroeconomics, Elsevier, vol. 76(C).
    18. Akinola Gbenga Wilfred & Gerry Koye Bokana, 2017. "A Comparative Analysis of Effects of Education on Sub-Saharan Africa's Economic Growth," Journal of Economics and Behavioral Studies, AMH International, vol. 9(4), pages 187-200.
    19. Wang, Cong & Lu, Yifan, 2020. "Can economic structural change and transition explain cross-country differences in innovative activity?," Technological Forecasting and Social Change, Elsevier, vol. 159(C).
    20. THW Ziesemer, 2020. "Japan’s Productivity and GDP Growth: The Role of Private, Public and Foreign R&D 1967–2017," Economies, MDPI, vol. 8(4), pages 1-25, September.

    More about this item

    Keywords

    Time-Series Models; Model Construction and Estimation; Production; Economic Growth of Open Economies; Latin America; Caribbean.;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • E23 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Production
    • F43 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Economic Growth of Open Economies
    • O54 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Latin America; Caribbean

    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:eaa:aeinde:v:24:y:2024:i:2_7. See general information about how to correct material in RePEc.

    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 bibliographic 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: M. Carmen Guisan (email available below). General contact details of provider: http://www.usc.es/economet/eaa.htm .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.