IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v15y1990i3p345-362.html
   My bibliography  Save this article

3.4. Set of models

Author

Listed:
  • Boyd, Gale
  • Fox, John
  • Hanson, Donald

Abstract

The use of disparate and detailed engineering and economic models is often necessary for environmental policy analysis and forecasting. However, to conduct consistent forecasting and policy analysis over all economic sectors these disparate models must be coordinated into a consistent model set. One approach to such a modeling effort is illustrated by the NAPAP Integrated Model Set, a collection of engineering, emissions-forecasting and energy-market models that is driven by and interacts with other energy-market and economic models.

Suggested Citation

  • Boyd, Gale & Fox, John & Hanson, Donald, 1990. "3.4. Set of models," Energy, Elsevier, vol. 15(3), pages 345-362.
  • Handle: RePEc:eee:energy:v:15:y:1990:i:3:p:345-362
    DOI: 10.1016/0360-5442(90)90095-J
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/036054429090095J
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/0360-5442(90)90095-J?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Diewert, Walter E & Wales, Terence J, 1987. "Flexible Functional Forms and Global Curvature Conditions," Econometrica, Econometric Society, vol. 55(1), pages 43-68, January.
    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. Barnett, William A. & Serletis, Apostolos, 2008. "Consumer preferences and demand systems," Journal of Econometrics, Elsevier, vol. 147(2), pages 210-224, December.
    2. Frédéric Reynès, 2011. "The cobb-douglas function as an approximation of other functions," SciencePo Working papers Main hal-01069515, HAL.
    3. Brox, James A. & Fader, Christina, 1996. "Production elasticity differences between just-in-time and non-just-in-time users in the automotive parts industry," The North American Journal of Economics and Finance, Elsevier, vol. 7(1), pages 77-90.
    4. Zhang, Yi & Ji, Qiang & Fan, Ying, 2018. "The price and income elasticity of China's natural gas demand: A multi-sectoral perspective," Energy Policy, Elsevier, vol. 113(C), pages 332-341.
    5. Tai-Hsin Huang & Yi-Huang Chiu & Chih-Ying Mao, 2021. "Imposing Regularity Conditions to Measure Banks’ Productivity Changes in Taiwan Using a Stochastic Approach," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 28(2), pages 273-303, June.
    6. Denis Conniffe, 2006. "Indirect addilog translation of indirect utility functions," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 39(4), pages 1388-1397, November.
    7. Michalek, J., 1990. "Estimation of technological progress on the base of flexible cost function," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 26.
    8. Tsionas, Mike G., 2020. "Quantile Stochastic Frontiers," European Journal of Operational Research, Elsevier, vol. 282(3), pages 1177-1184.
    9. Hoy, Kyle A. & Wrenn, Douglas H., 2018. "Unconventional energy, taxation, and interstate welfare: An analysis of Pennsylvania's severance tax policy," Energy Economics, Elsevier, vol. 73(C), pages 53-65.
    10. Sadorsky, P. A., 1989. "Measuring Resource Scarcity in Non-renewable Resources with Inequality Constrained Estimation," Queen's Institute for Economic Research Discussion Papers 275216, Queen's University - Department of Economics.
    11. Millimet, Daniel L. & Tchernis, Rusty, 2008. "Estimating high-dimensional demand systems in the presence of many binding non-negativity constraints," Journal of Econometrics, Elsevier, vol. 147(2), pages 384-395, December.
    12. Nguyen, Sang V. & Kokkelenberg, Edward C., 1990. "Measuring Total Factor Productivity, Technical Change and the Rate of Returns to Research and Development," Working Papers 179215, Cornell University, Department of Applied Economics and Management.
    13. Gary Madden & Harry Bloch & Grant Coble-Neal, 2002. "Labour and capital saving technical change in telecommunications," Applied Economics, Taylor & Francis Journals, vol. 34(14), pages 1821-1828.
    14. Dae‐Wook Kim & Christopher R. Knittel, 2006. "Biases In Static Oligopoly Models? Evidence From The California Electricity Market," Journal of Industrial Economics, Wiley Blackwell, vol. 54(4), pages 451-470, December.
    15. Valeria Cosmo, 2013. "Ownership, Scale Economies and Efficiency in the Italian Water Sector," Journal of Industry, Competition and Trade, Springer, vol. 13(3), pages 399-415, September.
    16. Frédéric Reynès, 2017. "The Cobb-Douglas function as a flexible function. Analysing the substitution between capital, labor and energy," Documents de Travail de l'OFCE 2017-12, Observatoire Francais des Conjonctures Economiques (OFCE).
    17. Chalfant, James & Wallace, Nancy, 1991. "Testing the Translog Specification with the Fourier Cost Function," CUDARE Working Papers 198581, University of California, Berkeley, Department of Agricultural and Resource Economics.
    18. Farsi, Mehdi & Filippini, Massimo, 2009. "An analysis of cost efficiency in Swiss multi-utilities," Energy Economics, Elsevier, vol. 31(2), pages 306-315, March.
    19. Sauer, J., 2007. "Monotonicity and Curvature – A Bootstrapping Approach," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 42, March.
    20. Ning Huang & Erwin Diewert, 2011. "Estimation of R&D depreciation rates: a suggested methodology and preliminary application," Canadian Journal of Economics, Canadian Economics Association, vol. 44(2), pages 387-412, May.

    More about this item

    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:eee:energy:v:15:y:1990:i:3:p:345-362. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    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.