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Estimating Factor Shares from Nonstationary Panel Data

Author

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  • Juan Aquino-Chávez

    (Washington University in St. Louis)

  • N.R. Ramírez-Rondán

    (Universidad del Pacífico)

Abstract

The measurement of the sources of economic growth is essential for understanding the long-term perspective of any economy. From an empirical viewpoint, the results from any growth-accounting exercise depend both on the functional form that summarizes the technology set and the factor share values. We estimate the physical capital's share in output implied by a Cobb-Douglas production function. Instead of growth rates, we analyze time series in levels to preserve the long-run information contained in the data. We also make use of the cross-section dimension (between countries) to overcome the low availability of long time series. The Fully Modified OLS (FMOLS) and Dynamic OLS (DOLS) estimators are used in a panel cointegration framework for 109 countries over the 1951-2014 period. For several measures of labor input, our physical capital's share estimates range between 0.46 and 0.56 for the largest set of countries. Our estimates of the physical capital's share in output vary significantly across regions.

Suggested Citation

  • Juan Aquino-Chávez & N.R. Ramírez-Rondán, 2017. "Estimating Factor Shares from Nonstationary Panel Data," Working Papers 2017-89, Peruvian Economic Association.
  • Handle: RePEc:apc:wpaper:2017-089
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    References listed on IDEAS

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    1. Barro, Robert J. & Lee, Jong Wha, 2013. "A new data set of educational attainment in the world, 1950–2010," Journal of Development Economics, Elsevier, pages 184-198.
    2. Pedroni, Peter, 2004. "Panel Cointegration: Asymptotic And Finite Sample Properties Of Pooled Time Series Tests With An Application To The Ppp Hypothesis," Econometric Theory, Cambridge University Press, vol. 20(03), pages 597-625, June.
    3. Arne Henningsen & Géraldine Henningsen, 2011. "Econometric Estimation of the “Constant Elasticity of Substitution" Function in R: Package micEconCES," IFRO Working Paper 2011/9, University of Copenhagen, Department of Food and Resource Economics.
    4. Levin, Andrew & Lin, Chien-Fu & James Chu, Chia-Shang, 2002. "Unit root tests in panel data: asymptotic and finite-sample properties," Journal of Econometrics, Elsevier, vol. 108(1), pages 1-24, May.
    5. Nelson C. Mark & Donggyu Sul, 2003. "Cointegration Vector Estimation by Panel DOLS and Long-run Money Demand," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 65(5), pages 655-680, December.
    6. William C. Horrace & Kurt E. Schnier, 2010. "Fixed-Effect Estimation of Highly Mobile Production Technologies," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, pages 1432-1445.
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    More about this item

    Keywords

    production function; factor shares; cointegration; panel data;

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • E23 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Production
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

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