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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    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. Scheierling, Susanne M. & Treguer, David O. & Booker, James F., 2015. "Water Productivity in Agriculture: Looking for Water in the Agricultural Productivity and Efficiency Literature," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205677, Agricultural and Applied Economics Association.
    3. Frédéric Reynès, 2011. "The cobb-douglas function as an approximation of other functions," SciencePo Working papers Main hal-01069515, HAL.
    4. Jael, Paul, 2019. "Does Marginal Productivity Mean Anything in Real Economic Life ?," MPRA Paper 97968, University Library of Munich, Germany, revised Jan 2020.
    5. Tauer, Loren, 2019. "Farmer productivity by age in the United States," International Journal of Agricultural Management, Institute of Agricultural Management, vol. 8(2), August.
    6. Elahi, Ehsan & Khalid, Zainab & Weijun, Cui & Zhang, Huiming, 2020. "The public policy of agricultural land allotment to agrarians and its impact on crop productivity in Punjab province of Pakistan," Land Use Policy, Elsevier, vol. 90(C).
    7. 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.
    8. Assa, Hirbod & Sharifi, Hossein & Lyons, Andrew, 2021. "An examination of the role of price insurance products in stimulating investment in agriculture supply chains for sustained productivity," European Journal of Operational Research, Elsevier, vol. 288(3), pages 918-934.
    9. Martinho, Vítor João Pereira Domingues, 2017. "Efficiency, total factor productivity and returns to scale in a sustainable perspective: An analysis in the European Union at farm and regional level," Land Use Policy, Elsevier, vol. 68(C), pages 232-245.
    10. 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.
    11. 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.
    12. 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.
    13. Ma, Shuzhong & Feng, Han, 2013. "Will the decline of efficiency in China's agriculture come to an end? An analysis based on opening and convergence," China Economic Review, Elsevier, vol. 27(C), pages 179-190.
    14. 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.
    15. Eric Njuki & Boris E Bravo-Ureta & Víctor E Cabrera, 2020. "Climatic effects and total factor productivity: econometric evidence for Wisconsin dairy farms," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 47(3), pages 1276-1301.
    16. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
      • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    17. Owusu, Eric S. & Bravo-Ureta, Boris E., 2022. "Reap when you sow? The productivity impacts of early sowing in Malawi," Agricultural Systems, Elsevier, vol. 199(C).
    18. Haokun Wang & Hong Chen & Tuyen Thi Tran & Shuai Qin, 2022. "An Analysis of the Spatiotemporal Characteristics and Diversity of Grain Production Resource Utilization Efficiency under the Constraint of Carbon Emissions: Evidence from Major Grain-Producing Areas ," IJERPH, MDPI, vol. 19(13), pages 1-25, June.
    19. 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.
    20. 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.

    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.