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. 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.
    4. 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.
    5. 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, Southern Agricultural Economics Association, vol. 27(2), pages 1-14, December.
    6. 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.
    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. Daniel Solís & Boris E. Bravo‐Ureta & Ricardo E. Quiroga, 2009. "Technical Efficiency among Peasant Farmers Participating in Natural Resource Management Programmes in Central America," Journal of Agricultural Economics, Wiley Blackwell, vol. 60(1), pages 202-219, February.
    2. Frédéric Reynès, 2011. "The cobb-douglas function as an approximation of other functions," SciencePo Working papers Main hal-01069515, HAL.
    3. Jael, Paul, 2019. "Does Marginal Productivity Mean Anything in Real Economic Life ?," MPRA Paper 97968, University Library of Munich, Germany, revised Jan 2020.
    4. Tauer, Loren, 2019. "Farmer productivity by age in the United States," International Journal of Agricultural Management, Institute of Agricultural Management, vol. 8(2), August.
    5. 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.
    6. 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.
    7. 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.
    8. Ethridge, Don E. & Misra, Sukant K. & Fadiga, Mohamadou L., 2004. "Texas-Oklahoma Producer Cotton Market Summary: 2003/2004," Cotton Economics Research Institute CER Series 31246, Texas Tech University, Department of Agricultural and Applied Economics.
    9. 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.
    10. Smed, Sinne & Hansen, Lars Garn, 2018. "Consumer Valuation of Health Attributes in Food," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 43(2), May.
    11. Kostlivý, V. & Fuksová, Z. & Dubec, J., 2017. "Farms Productivity Developments Based on Malmquist Production Indices," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 9(2), June.
    12. Bopp, Carlos & Jara-Rojas, Roberto & Bravo-Ureta, Boris & Engler, Alejandra, 2022. "Irrigation water use, shadow values and productivity: Evidence from stochastic production frontiers in vineyards," Agricultural Water Management, Elsevier, vol. 271(C).
    13. Leitner, Johannes & Leopold-Wildburger, Ulrike, 2011. "Experiments on forecasting behavior with several sources of information - A review of the literature," European Journal of Operational Research, Elsevier, vol. 213(3), pages 459-469, September.
    14. Genius, Margarita & Stefanou, Spiro E. & Tzouvelekas, Vangelis, 2012. "Measuring productivity growth under factor non-substitution: An application to US steam-electric power generation utilities," European Journal of Operational Research, Elsevier, vol. 220(3), pages 844-852.
    15. 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.
    16. 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.
    17. Asekenye, Cresensia & Bravo-Ureta, Boris E. & Mukherjee, Deep & Okoko, Nasambu & Kalule Okello, David & Kidula, Nelson & Deom, Mike & Puppala, Naveen, 2013. "Productivity Gaps Among Smallholder Groundnut Farmers: A Comparative Analysis for Uganda and Kenya," 2013 Fourth International Conference, September 22-25, 2013, Hammamet, Tunisia 160673, African Association of Agricultural Economists (AAAE).
    18. Magambo, Isaiah & Dikgang, Johane & Gelo, Dambala & Tregenna, Fiona, 2021. "Environmental and Technical Efficiency in Large Gold Mines in Developing Countries," MPRA Paper 108068, University Library of Munich, Germany.
    19. 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).
    20. Laure Latruffe & Boris E. Bravo-Ureta & Alain Carpentier & Yann Desjeux & Víctor H. Moreira, 2017. "Subsidies and Technical Efficiency in Agriculture: Evidence from European Dairy Farms," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 99(3), pages 783-799.

    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.