IDEAS home Printed from https://ideas.repec.org/p/hig/wpaper/90sti2018.html
   My bibliography  Save this paper

A Multidimensional Classification For The Information Technology Market

Author

Listed:
  • Inna S.Lola

    (National Research University Higher School of Economics)

  • Sergey V. Gluzdovsky

    (National Research University Higher School of Economics)

Abstract

This paper expands the existing informational and analytical opportunities of application of the results of business tendency surveys which solve the problem of the loss of valuable statistical information in its traditional aggregation into simple and composite indicators. Based on methods of multidimensional classification, an algorithm of statistical analysis significantly raises the analytical opportunities for the more wide measurement of trajectories of development and short-term fluctuations of branch of the information technology (IT) is developed and discussed. This allows the construction of behavioral models of business tendency data which improve the understanding of the business cycle in more detail. Furthermore the empirical results confirm the possibility of receiving various information which increases the analytical potential of business tendency surveys

Suggested Citation

  • Inna S.Lola & Sergey V. Gluzdovsky, 2018. "A Multidimensional Classification For The Information Technology Market," HSE Working papers WP BRP 90/STI/2018, National Research University Higher School of Economics.
  • Handle: RePEc:hig:wpaper:90sti2018
    as

    Download full text from publisher

    File URL: https://wp.hse.ru/data/2018/11/27/1141425451/90STI2018.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. repec:hig:wpaper:102sti2019 is not listed on IDEAS
    2. Tommaso Proietti & Cecilia Frale, 2011. "New proposals for the quantification of qualitative survey data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 30(4), pages 393-408, July.
    3. Luciana Crosilla & Solange Leproux & Marco Malgarini & Francesca Spinelli, 2009. "Factor based Composite Indicators for the Italian Economy," ISAE Working Papers 116, ISTAT - Italian National Institute of Statistics - (Rome, ITALY).
    4. repec:bla:econom:v:42:y:1975:i:166:p:123-38 is not listed on IDEAS
    5. Elena D'Agosto & Nazaria Solferino & Giovanni Tria, 2006. "The Migration and FDI Puzzle: Complements or Substitutes?," CEIS Research Paper 76, Tor Vergata University, CEIS.
    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. Cecilia Frale & Massimiliano Marcellino & Gian Luigi Mazzi & Tommaso Proietti, 2010. "Survey data as coincident or leading indicators," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(1-2), pages 109-131.
    2. G. Bruno & L. Crosilla & P. Margani, 2019. "Inspecting the Relationship Between Business Confidence and Industrial Production: Evidence on Italian Survey Data," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 15(1), pages 1-24, April.
    3. Marco Cacciotti & Cecilia Frale & Serena Teobaldo, 2013. "A new methodology for a quarterly measure of the output gap," Working Papers 6, Department of the Treasury, Ministry of the Economy and of Finance.
    4. Das, Abhiman & Lahiri, Kajal & Zhao, Yongchen, 2019. "Inflation expectations in India: Learning from household tendency surveys," International Journal of Forecasting, Elsevier, vol. 35(3), pages 980-993.
    5. Mihi-Ramirez, Antonio & Sobierajc, Janusz & Garcia-Rodriguez, Yolanda, 2019. "Interaction of emigration and immigration with foreign direct investment, international trade and remittances," Economics Discussion Papers 2019-63, Kiel Institute for the World Economy (IfW Kiel).
    6. Marco Cacciotti & Cecilia Frale & Serena Teobaldo, 2013. "A new methodology for a quarterly measure of the Output Gap," Working Papers LuissLab 13103, Dipartimento di Economia e Finanza, LUISS Guido Carli.
    7. Cecilia Frale, "undated". "Do Surveys Help in Macroeconomic Variables Disaggregation and Estimation?," Working Papers wp2008-2, Department of the Treasury, Ministry of the Economy and of Finance.
    8. Marcellino, Massimiliano & Proietti, Tommaso & Frale, Cecilia & Mazzi, Gian Luigi, 2008. "A Monthly Indicator of the Euro Area GDP," CEPR Discussion Papers 7007, C.E.P.R. Discussion Papers.
    9. Giancarlo Bruno, 2014. "Consumer confidence and consumption forecast: a non-parametric approach," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 41(1), pages 37-52, February.
    10. Strike Mbulawa, 2017. "Remittances, Foreign Direct Investment and Growth in SADC: A Panel Co-integration Approach," Journal of Finance and Economics Research, Geist Science, Iqra University, Faculty of Business Administration, vol. 2(1), pages 40-55, March.
    11. Inna S. Lola, 2017. "The Statistical Measurement of Business Conditions for Small Entrepreneurs," HSE Working papers WP BRP 71/STI/2017, National Research University Higher School of Economics.
    12. Rezart Hoxhaj & Léa Marchal & Adnan Seric, 2015. "FDI and migration of skilled workers toward developing countries: firm-level evidence from Sub-Saharan Africa," Working Papers hal-01729338, HAL.
    13. Luciana Crosilla & Marco Malgarini, 2011. "Behavioural models for manufacturing firms: analysing survey data," ECONOMIA E POLITICA INDUSTRIALE, FrancoAngeli Editore, vol. 2011(4), pages 139-163.
    14. Lastauskas, Povilas & Bičiūnaitė, Audrė, 2012. "Strategies for Deeper Integration: Case Study of the Baltics," MPRA Paper 43321, University Library of Munich, Germany.
    15. Vermeulen, Philip, 2014. "An evaluation of business survey indices for short-term forecasting: Balance method versus Carlson–Parkin method," International Journal of Forecasting, Elsevier, vol. 30(4), pages 882-897.
    16. Munazah NAZEER* & Uzma TABASSUM** & Shaista ALAM***, 2017. "Banking And Telecommunication Influencing Migration In Major Cities Of Pakistan," Pakistan Journal of Applied Economics, Applied Economics Research Centre, vol. 27(1), pages 101-120.
    17. Bruno, Giancarlo, 2009. "Non-linear relation between industrial production and business surveys data," MPRA Paper 42337, University Library of Munich, Germany.

    More about this item

    Keywords

    information and communication technology (ICT); information technology (IT); business climate; business tendency surveys; behavioral models; digitalization.;
    All these keywords.

    JEL classification:

    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • L26 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Entrepreneurship
    • L1 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:hig:wpaper:90sti2018. 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: Shamil Abdulaev or Shamil Abdulaev (email available below). General contact details of provider: https://edirc.repec.org/data/hsecoru.html .

    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.