IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Log in (now much improved!) to save this paper

La demanda de gasolinas, gas licuado de petróleo y electricidad en el Ecuador: elementos para una reforma fiscal ambiental

Listed author(s):
  • Sánchez, Luis
  • Reyes, Orlando
Registered author(s):

    El principal objetivo de este estudio es analizar de la demanda de gasolinas, gas licuado de petróleo (GLP) y electricidad para Ecuador con base en información de series de tiempo y micro-datos. El documento está compuesto por cinco secciones. La primera sección es la introducción; la segunda sección establece un contexto general del comportamiento de la economía de Ecuador, del sector energético destacando el consumo de gasolinas, gas licuado de petróleo (GLP) y electricidad y un análisis breve de los subsidios e impuestos que se han aplicado a estos energéticos; en la tercera sección se presentan las estimaciones econométricas a nivel macroeconómico de la demanda de gasolinas, GLP y electricidad; en la cuarta sección se analiza brevemente información de micro-datos y se muestran las estimaciones de las curvas de Engel y de los modelos de demanda de tipo AIDS (Demanda Casi Ideales) y QUAIDS (Demanda Casi Ideales Cuadráticos) de gasolinas, GLP y electricidad. Fnalmente, en la quinta sección se presentan las conclusiones generales.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL: http://repositorio.cepal.org/handle/11362/40629
    Download Restriction: no

    Paper provided by Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL) in its series Documentos de Proyectos with number 706.

    as
    in new window

    Length:
    Date of creation: 30 Sep 2016
    Handle: RePEc:ecr:col022:40629
    Contact details of provider: Postal:
    Casilla 179-D, Santiago

    Fax: (56-2) 2210 2337
    Web page: http://www.cepal.org
    Email:


    More information through EDIRC

    References listed on IDEAS
    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

    as
    in new window


    1. Espey, Molly, 1998. "Gasoline demand revisited: an international meta-analysis of elasticities," Energy Economics, Elsevier, vol. 20(3), pages 273-295, June.
    2. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 39(3), pages 106-135.
    3. Nicol, C. J., 2003. "Elasticities of demand for gasoline in Canada and the United States," Energy Economics, Elsevier, vol. 25(2), pages 201-214, March.
    4. Dale W. Jorgenson, 1998. "Growth, Volume 2: Energy, the Environment, and Economic Growth," MIT Press Books, The MIT Press, edition 1, volume 2, number 0262100746, January.
    5. Jasper M. Dalhuisen & Raymond J. G. M. Florax & JHenri L. F. de Groot & Peter Nijkamp, 2003. "Price and Income Elasticities of Residential Water Demand: A Meta-Analysis," Land Economics, University of Wisconsin Press, vol. 79(2), pages 292-308.
    6. James Banks & Richard Blundell & Arthur Lewbel, 1997. "Quadratic Engel Curves And Consumer Demand," The Review of Economics and Statistics, MIT Press, vol. 79(4), pages 527-539, November.
    7. Fell, Harrison & Li, Shanjun & Paul, Anthony, 2010. "A New Look at Residential Electricity Demand Using Household Expenditure Data," Discussion Papers dp-10-57, Resources For the Future.
    8. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-1072, June.
    9. Nicolas Ruiz & Alain Trannoy, 2008. "Le caractère régressif des taxes indirectes : les enseignements d'un modèle de microsimulation," Économie et Statistique, Programme National Persée, vol. 413(1), pages 21-46.
    10. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 31(3), pages 129-137.
    11. Blundell, Richard & Pashardes, Panos & Weber, Guglielmo, 1993. "What Do We Learn About Consumer Demand Patterns from Micro Data?," American Economic Review, American Economic Association, vol. 83(3), pages 570-597, June.
    12. Wadud, Zia & Graham, Daniel J. & Noland, Robert B., 2009. "Modelling fuel demand for different socio-economic groups," Applied Energy, Elsevier, vol. 86(12), pages 2740-2749, December.
    13. Havranek, Tomas & Irsova, Zuzana & Janda, Karel, 2012. "Demand for gasoline is more price-inelastic than commonly thought," Energy Economics, Elsevier, vol. 34(1), pages 201-207.
    14. Shin, Jeong-Shik, 1985. "Perception of Price When Price Information Is Costly: Evidence from Residential Electricity Demand," The Review of Economics and Statistics, MIT Press, vol. 67(4), pages 591-598, November.
    15. Claudio Agostini & Cecilia Plottier & Eduardo Saavedra, 2009. "La Demanda Residencial por Energía Eléctrica en Chile," ILADES-Georgetown University Working Papers inv240, Ilades-Georgetown University, Universidad Alberto Hurtado/School of Economics and Bussines.
    16. Wang, Ting & Lin, Boqiang, 2014. "China's natural gas consumption and subsidies—From a sector perspective," Energy Policy, Elsevier, vol. 65(C), pages 541-551.
    17. Zia Wadud & Daniel J. Graham & Robert B. Noland, 2010. "Gasoline Demand with Heterogeneity in Household Responses," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 47-74.
    18. Asafu-Adjaye, John, 2000. "The relationship between energy consumption, energy prices and economic growth: time series evidence from Asian developing countries," Energy Economics, Elsevier, vol. 22(6), pages 615-625, December.
    19. Ray, Ranjan, 1982. "The testing and estimation of complete demand systems on household budget surveys," European Economic Review, Elsevier, vol. 17(3), pages 349-369.
    20. Archibald, Robert & Gillingham, Robert, 1980. "An Analysis of the Short-Run Consumer Demand for Gasoline Using Household Survey Data," The Review of Economics and Statistics, MIT Press, vol. 62(4), pages 622-628, November.
    21. Rodolfo Hoffmann & Ana Lucia Kassouf, 2005. "Deriving conditional and unconditional marginal effects in log earnings equations estimated by Heckman's procedure," Applied Economics, Taylor & Francis Journals, vol. 37(11), pages 1303-1311.
    22. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    23. Brons, Martijn & Nijkamp, Peter & Pels, Eric & Rietveld, Piet, 2008. "A meta-analysis of the price elasticity of gasoline demand. A SUR approach," Energy Economics, Elsevier, vol. 30(5), pages 2105-2122, September.
    24. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
    25. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-326, June.
    26. Yu, Yihua & Zheng, Xinye & Han, Yi, 2014. "On the demand for natural gas in urban China," Energy Policy, Elsevier, vol. 70(C), pages 57-63.
    Full references (including those not matched with items on IDEAS)

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:ecr:col022:40629. 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: (Biblioteca CEPAL)

    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 references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link 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 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.

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.