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Crecimiento y la paradoja de la productividad: Una estimación en la forma de state-space con componentes no observables para el sector agropecuario argentino, 1955-2003

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Author Info
Luis Lanteri (Banco Central de Argentina)
Abstract

We estimate the total factor productivity for argentine agriculture over the period 1955 to 2003. One method of quantifying the impact of productivity is the use of growth accounting index numbers (Divisia index). However, some papers (see, for example, Hsieh, 2000) show that if technological change is not Hicks neutral then conventional total factor productivity index is not a satisfactory measure of this indicator, since that observed cost shares conflates the contribution of factor accumulation to output growth with that of technological change. In this paper, cost share equation system in the form of state-space model with latent variables are used to detect technological biased and to estimate the total factor productivity adjusted.

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File URL: http://revistas.colmex.mx/revistas/12/art_12_696_3892.pdf
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Article provided by El Colegio de México, Centro de Estudios Económicos in its journal Estudios Económicos.

Volume (Year): 20 (2005)
Issue (Month): 1 ()
Pages: 53-78
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Handle: RePEc:emx:esteco:v:20:y:2005:i:1:p:53-78

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Web page: http://www.colmex.mx/centros/cee/
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  1. Stevenson, Rodney, 1980. "Measuring Technological Bias," American Economic Review, American Economic Association, vol. 70(1), pages 162-73, March. [Downloadable!] (restricted)
  2. A. Bailey & K. Balcombe & J. Morrison & C. Thirtle, 2003. "A Comparison Of Proxy Variable And Stochastic Latent Variable Approaches To The Measurement Of Bias In Technological Change In South African Agriculture," Economics of Innovation and New Technology, Taylor and Francis Journals, vol. 12(4), pages 315-324, August. [Downloadable!] (restricted)
  3. Roberto Esposti & Pierpaolo Pierani, 1997. "The Source of Technical Change in Italian Agriculture: A Latent Variable Approach," Wisconsin-Madison Agricultural and Applied Economics Staff Papers 411, Wisconsin-Madison Agricultural and Applied Economics Department. [Downloadable!]
  4. Olmstead, Alan L & Rhode, Paul, 1993. "Induced Innovation in American Agriculture: A Reconsideration," Journal of Political Economy, University of Chicago Press, vol. 101(1), pages 100-118, February. [Downloadable!] (restricted)
  5. Bailey, Alastair & Irz, Xavier & Balcombe, Kelvin, 2003. "An Appliation Of The Stochastic Latent Variable Approach To The Correction Of Sector Level Tfp Calculations In The Face Of Biased Technological Change," 2003 Annual Meeting, August 16-22, 2003, Durban, South Africa 25842, International Association of Agricultural Economists. [Downloadable!]
  6. Archibald, Sandra O. & Brandt, Loren, 1991. "A flexible model of factor biased technological change An application to Japanese agriculture," Journal of Development Economics, Elsevier, vol. 35(1), pages 127-145, January. [Downloadable!] (restricted)
  7. Felipe, Jesus & McCombie, J. S. L., 2001. "Biased Technical Change, Growth Accounting, and the Conundrum of the East Asian Miracle," Journal of Comparative Economics, Elsevier, vol. 29(3), pages 542-565, September. [Downloadable!] (restricted)
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