IDEAS home Printed from https://ideas.repec.org/p/ags/iaae03/25842.html
   My bibliography  Save this paper

An Appliation Of The Stochastic Latent Variable Approach To The Correction Of Sector Level Tfp Calculations In The Face Of Biased Technological Change

Author

Listed:
  • Bailey, Alastair
  • Irz, Xavier T.
  • Balcombe, Kelvin George

Abstract

The measurement of the impact of technical change has received significant attention within the economics literature. One popular method of quantifying this impact of technical change is the use of growth accounting index numbers. However, in a recent article Nelson and Pack (1999) criticise the use of such index numbers in situations where technical change is likely to be biased in favour of one or other inputs. In particular they criticise the common approach of applying observed factor shares as proxies for partial output elasticities to weight the change in quantities which they claim are only valid under Hicks neutrality. Recent advances in the measurement of product and factor biases of technical change developed by Balcombe et al (2000) provide a relatively straight-forward means of correcting product and factor shares in the face of biased technical progress. This paper demonstrates the correction of factor shares used in the construction of a TFP index for UK agriculture over the period 1953 to 2000 using both revenue and cost function share equations appended with stochastic latent variables to capture the bias effect. Technical progress is shown to be biased between both individual input and output groups. Output and input quantity aggregates are then constructed using both observed and corrected share weights and the resulting TFPs are compared. There does appear to be some significant bias in TFP if the effect of biased technical progress is not taken into account when constructing the weights.

Suggested Citation

  • Bailey, Alastair & Irz, Xavier T. & Balcombe, Kelvin George, 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.
  • Handle: RePEc:ags:iaae03:25842
    DOI: 10.22004/ag.econ.25842
    as

    Download full text from publisher

    File URL: http://ageconsearch.umn.edu/record/25842/files/cp03ba01.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Murgai, Rinku, 2001. "The Green Revolution and the productivity paradox: evidence from the Indian Punjab," Agricultural Economics, Blackwell, vol. 25(2-3), pages 199-209, September.
    2. Balcombe, Kelvin George & Bailey, Alastair & Morrison, Jamie & Rapsomanikis, George & Thirtle, Colin G., 2000. "Stochastic biases in technical change in South African agriculture," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 39(4), pages 1-9, December.
    3. Yougesh Khatri & Colin Thirtle, 1996. "Supply And Demand Functions For Uk Agriculture: Biases Of Technical Change And The Returns To Public R&D," Journal of Agricultural Economics, Wiley Blackwell, vol. 47(1‐4), pages 338-354, January.
    4. J. Stephen Clark & Curtis E. Youngblood, 1992. "Estimating Duality Models with Biased Technical Change: A Time Series Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 74(2), pages 353-360.
    5. Chambers,Robert G., 1988. "Applied Production Analysis," Cambridge Books, Cambridge University Press, number 9780521314275.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Luis Lanteri, 2005. "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," Estudios Económicos, El Colegio de México, Centro de Estudios Económicos, vol. 20(1), pages 53-78.

    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:ags:iaae03:25842. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (AgEcon Search). General contact details of provider: http://edirc.repec.org/data/iaaeeea.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.