IDEAS home Printed from https://ideas.repec.org/a/spr/binfse/v60y2018i6d10.1007_s12599-018-0533-5.html
   My bibliography  Save this article

EM-OLAP Framework

Author

Listed:
  • Jan Tyrychtr

    (Czech University of Life Sciencesin Prague)

  • Martin Pelikán

    (Czech University of Life Sciencesin Prague)

  • Hana Štiková

    (Czech University of Life Sciencesin Prague)

  • Ivan Vrana

    (Czech University of Life Sciencesin Prague)

Abstract

Econometrics is currently one of the most popular approaches to economic analysis. To better support advances in these areas as much as possible, it is necessary to apply econometric problems to econometric intelligent systems. The article describes an econometric OLAP framework that supports the design of a multidimensional database to secure econometric analyses to increase the effectiveness of the development of econometric intelligent systems. The first part of the article consists of the creation of formal rules for the new transformation of the econometric model (TEM) method for the econometric model transformation of multidimensional schema through the use of mathematical notation. In the proposed TEM method, the authors pay attention to the measurement of quality and understandability of the multidimensional schema, and compare the proposed method with the original TEM-CM method. In the second part of the article, the authors create a multidimensional database prototype according to the new TEM method and design an OLAP application for econometric analysis.

Suggested Citation

  • Jan Tyrychtr & Martin Pelikán & Hana Štiková & Ivan Vrana, 2018. "EM-OLAP Framework," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 60(6), pages 543-562, December.
  • Handle: RePEc:spr:binfse:v:60:y:2018:i:6:d:10.1007_s12599-018-0533-5
    DOI: 10.1007/s12599-018-0533-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12599-018-0533-5
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s12599-018-0533-5?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. Boris Bravo-Ureta & Daniel Solís & Víctor Moreira López & José Maripani & Abdourahmane Thiam & Teodoro Rivas, 2007. "Technical efficiency in farming: a meta-regression analysis," Journal of Productivity Analysis, Springer, vol. 27(1), pages 57-72, February.
    2. Bernd Brandl & Christian Keber & Matthias Schuster, 2006. "An automated econometric decision support system: forecasts for foreign exchange trades," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 14(4), pages 401-415, December.
    3. Tyrychtr, Jan & Vasilenko, Alexandr, 2015. "Transformation Econometric Model to Multidimensional Databases to Support the Analytical Systems in Agriculture," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 7(3), pages 1-7, September.
    4. Brown, Jeff E. & Ethridge, Don E. & Hudson, Darren & Engels, Carlos, 1995. "An Automated Econometric Approach for Estimating and Reporting Daily Cotton Market Prices," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 27(2), pages 409-422, December.
    5. Kusters, Ulrich & McCullough, B.D. & Bell, Michael, 2006. "Forecasting software: Past, present and future," International Journal of Forecasting, Elsevier, vol. 22(3), pages 599-615.
    6. Jesus Felipe & F. Gerard Adams, 2005. ""A Theory of Production" The Estimation of the Cobb-Douglas Function: A Retrospective View," Eastern Economic Journal, Eastern Economic Association, vol. 31(3), pages 427-445, Summer.
    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. Frédéric Reynès, 2011. "The cobb-douglas function as an approximation of other functions," SciencePo Working papers Main hal-01069515, HAL.
    2. Tauer, Loren, 2019. "Farmer productivity by age in the United States," International Journal of Agricultural Management, Institute of Agricultural Management, vol. 8(2), August.
    3. Margarita Genius & Spiro Stefanou & Vangelis Tzouvelekas, 2009. "Productivity Growth and Efficiency under Leontief Technology: An Application to US Steam-Electric Power Generation Utilities," Working Papers 0913, University of Crete, Department of Economics.
    4. T. Gerasimos S. & V. Erotokritos & Т. Герасимос С. & В. Эротокритос, 2017. "Предварительный поведенческий подход в таргетированию реальных доходов // A Tentative Behavioral Approach to Real Income Targeting," Review of Business and Economics Studies // Review of Business and Economics Studies, Финансовый Университет // Financial University, vol. 5(1), pages 17-31.
    5. Madau, Fabio A., 2015. "Technical and Scale Efficiency in the Italian Citrus Farming: Comparison between SFA and DEA Approaches," Agricultural Economics Review, Greek Association of Agricultural Economists, vol. 16(2), pages 1-13.
    6. Scheierling, Susanne M. & Treguer, David O. & Booker, James F. & Decker, Elisabeth, 2014. "How to assess agricultural water productivity ? looking for water in the agricultural productivity and efficiency literature," Policy Research Working Paper Series 6982, The World Bank.
    7. Morais, G. & Braga, J.M., 2018. "Irrigation and farm efficiency in Brazil," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 275987, International Association of Agricultural Economists.
    8. Milan Vaclavik & Josef Jablonsky, 2012. "Revisions of modern portfolio theory optimization model," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 20(3), pages 473-483, September.
    9. 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).
    10. McDonald, John, 2009. "Using least squares and tobit in second stage DEA efficiency analyses," European Journal of Operational Research, Elsevier, vol. 197(2), pages 792-798, September.
    11. Blanco Orozco, Napoleón Vicente & Zuniga Gonzalez, Carlos Alberto, 2013. "Productivity Analysis in Power Generation Plants Connected to the National Grid: A New Case of Bio Economy in Nicaragua," MPRA Paper 49356, University Library of Munich, Germany, revised 25 Feb 2013.
    12. Ali D. Cagdas & Scott R. Jeffrey & Elwin G. Smith & Peter C. Boxall, 2016. "Environmental Stewardship and Technical Efficiency in Canadian Prairie Canola Production," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 64(3), pages 455-477, September.
    13. Dimitris Christopoulos & Margarita Genius & Vangelis Tzouvelekas, 2021. "Farm and non-farm labor decisions and household efficiency," Journal of Productivity Analysis, Springer, vol. 56(1), pages 15-31, August.
    14. Hudson, Darren & Jones, Tom, 2001. "Willingness to Plant Identity Preserved Crops: The Case of Mississippi Soybeans," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 33(3), pages 475-485, December.
    15. Wanglin Ma & Kathryn Bicknell & Alan Renwick, 2019. "Feed use intensification and technical efficiency of dairy farms in New Zealand," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 63(1), pages 20-38, January.
    16. Zoltan Bakucs & Imre Fertő & József Fogarasi & Laure Latruffe & Yann Desjeux & Eduard Matveev & Sonia Marongiu & Mark Dolman & Rafat Soboh, 2011. "EU farms’ technical efficiency and productivity change in 1990 – 2006 [Efficacité technique et changement de productivité des exploitations agricoles européennes 1990-2006]," Post-Print hal-02808334, HAL.
    17. Roman G. Smirnov & Kunpeng Wang, 2019. "The Cobb-Douglas production function revisited," Papers 1910.06739, arXiv.org, revised Oct 2019.
    18. Neubauer, Florian & Wall, Alan & Njuki, Eric & Bravo-Ureta, Boris, 2023. "Climatic Effects and Farming Performance: An Overview of Selected Studies," 2023 Inter-Conference Symposium, April 19-21, 2023, Montevideo, Uruguay 338540, International Association of Agricultural Economists.
    19. Solis, Daniel & Agar, Juan & del Corral, Julio, 2015. "The impact of IFQs on the productivity of the US Gulf of Mexico Red Snapper Fishery," 2015 Annual Meeting, January 31-February 3, 2015, Atlanta, Georgia 196639, Southern Agricultural Economics Association.
    20. Urbina, Jilber, 2017. "Eficiencia técnica en la producción de café en Nicaragua: Un análisis de fronteras estocásticas [Technical efficiency in coffee production: a stochastic frontier analysis for Nicaragua]," MPRA Paper 82690, University Library of Munich, Germany, revised Sep 2017.

    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:spr:binfse:v:60:y:2018:i:6:d:10.1007_s12599-018-0533-5. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.