IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/74447.html

A non-linear Leontief–type input-output model

Author

Listed:
  • Michaelides, Panayotis G.
  • Belegri-Roboli, Athena
  • Markaki, Maria

Abstract

In this paper, we present an econometric model based on Leontief’s IInput–Output (IO) approach. In this context, the paper puts forward an econometric approach to estimating an IO Leontief – type coefficients matrix which has several advantages and constitutes an extension to the standard IO model. Analytically, the original model is a description of the situation when (i) linear relations express the production process of each sector, (ii) each sector experiences constant returns to scale, and (iii) the technical coefficients in the conventional IO table are fixed for several years and based on a-priori calculations using traditional survey methods made by practitioners, and not on econometric estimations using real–world data on economic aggregates. The proposed method’s main advantage is its simplicity, flexibility, and capability of including real-world information on economic aggregates that could also be used as a portion of a dynamic model. Measures such as Returns to Scale (RTS), Total Factor Productivity (TFP), and Technical Efficiency (TE) may be computed easily.

Suggested Citation

  • Michaelides, Panayotis G. & Belegri-Roboli, Athena & Markaki, Maria, 2012. "A non-linear Leontief–type input-output model," MPRA Paper 74447, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:74447
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/74447/1/MPRA_paper_74447.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gallant, A. Ronald & Jorgenson, Dale W., 1979. "Statistical inference for a system of simultaneous, non-linear, implicit equations in the context of instrumental variable estimation," Journal of Econometrics, Elsevier, vol. 11(2-3), pages 275-302.
    2. Davidson, Russell & MacKinnon, James G., 1993. "Estimation and Inference in Econometrics," OUP Catalogue, Oxford University Press, number 9780195060119.
    3. Amemiya, Takeshi, 1977. "The Maximum Likelihood and the Nonlinear Three-Stage Least Squares Estimator in the General Nonlinear Simultaneous Equation Model," Econometrica, Econometric Society, vol. 45(4), pages 955-968, May.
    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. Raufu Oluwatoyin Raheem, 2016. "Workflow Development Effort Estimation as Applied to Web Human Resource Management," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 17(1), pages 77-100, March.

    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. Hassan, Rashid M. & D'Silva, Brian & Hallam, A., 1989. "Normative Supply Response Analysis under Production Uncertainty: Irrigated Multicrop Farming Sector of Sudan," 1989 Occasional Paper Series No. 5 197677, International Association of Agricultural Economists.
    2. Wooldridge, Jeffrey M., 1996. "Estimating systems of equations with different instruments for different equations," Journal of Econometrics, Elsevier, vol. 74(2), pages 387-405, October.
    3. Giancarlo Gandolfo & Alberto Felettigh, 1998. "The NATREX: an Alternative Approach Theory and Empirical Verifications," Working Papers 52, Sapienza University of Rome, CIDEI.
    4. repec:ags:jrapmc:122307 is not listed on IDEAS
    5. Amemiya, Takeshi, 1983. "Non-linear regression models," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 1, chapter 6, pages 333-389, Elsevier.
    6. H. Alan Love & Endah Murniningtyas, 1992. "Measuring the Degree of Market Power Exerted by Government Trade Agencies," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 74(3), pages 546-555.
    7. Chirinko, Robert S., 1995. "Nonconvexities, labor hoarding, technology shocks, and procyclical productivity a structural econometric analysis," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 61-98.
    8. Tsai, Grace Yueh-Hsiang, 1989. "A dynamic model of the U.S. cotton market with rational expectations," ISU General Staff Papers 1989010108000012168, Iowa State University, Department of Economics.
    9. Areosa, Waldyr Dutra & McAleer, Michael & Medeiros, Marcelo C., 2011. "Moment-based estimation of smooth transition regression models with endogenous variables," Journal of Econometrics, Elsevier, vol. 165(1), pages 100-111.
    10. Hosoya, Yuzo & Terasaka, Takahiro, 2009. "Inference on transformed stationary time series," Journal of Econometrics, Elsevier, vol. 151(2), pages 129-139, August.
    11. Love, H. Alan & Buccola, Steven T., 1989. "Risk Aversion, Input Use, And Heteroskedastic Supply," 1989 Quantifying Long Run Agricultural Risks and Evaluating Farmer Responses to Risk Meeting, April 9-12, 1989, Sanibel Island, Florida 271525, Regional Research Projects > S-232: Quantifying Long Run Agricultural Risks and Evaluating Farmer Responses to Risk.
    12. Moschini, Giancarlo, 1998. "The semiflexible almost ideal demand system," European Economic Review, Elsevier, vol. 42(2), pages 349-364, February.
    13. Burkhart, Christopher S. & Jha, Manoj K., 2012. "Site-Specific Simulation of Nutrient Control Policies: Integrating Economic and Water Quality Effects," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 37(01), pages 1-14, April.
    14. Shijiang Chen & Mingyue Liang & Wen Yang, 2022. "Does Digital Financial Inclusion Reduce China’s Rural Household Vulnerability to Poverty: An Empirical Analysis From the Perspective of Household Entrepreneurship," SAGE Open, , vol. 12(2), pages 21582440221, June.
    15. Giuseppe Croce & Emanuela Ghignoni, 2011. "Overeducation and spatial flexibility in Italian local labour markets," Working Papers in Public Economics 145, Department of Economics and Law, Sapienza University of Rome.
    16. Jongeneel, Roelof A. & Ge, Lan, 2005. "Explaining Growth in Dutch Agriculture: Prices, Public R&D, and Technological Change," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24573, European Association of Agricultural Economists.
    17. Barnett, William A. & Serletis, Apostolos, 2008. "Consumer preferences and demand systems," Journal of Econometrics, Elsevier, vol. 147(2), pages 210-224, December.
    18. Hany Eldemerdash & Hugh Metcalf & Sara Maioli, 2014. "Twin deficits: new evidence from a developing (oil vs. non-oil) countries’ perspective," Empirical Economics, Springer, vol. 47(3), pages 825-851, November.
    19. Rao, Surekha & Ghali, Moheb & Krieg, John, 2008. "On the J-test for nonnested hypotheses and Bayesian extension," MPRA Paper 14637, University Library of Munich, Germany.
    20. Schimmelpfennig, Axel, 1998. "The celtic tiger faces the factor price frontier: Labour market adjustment in Ireland," Kiel Working Papers 855, Kiel Institute for the World Economy.
    21. Saul Lach & Mark Schankerman, 2008. "Incentives and invention in universities," RAND Journal of Economics, RAND Corporation, vol. 39(2), pages 403-433, June.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General
    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models

    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:pra:mprapa:74447. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    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.