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Some Conceptual Aspects of the Multilevel Modeling for the Study of Social-Economic Phenomena

Author

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  • Miruna MAZURENCU MARINESCU

    (The Bucharest University of Economic Studies, Romania;)

Abstract

Multilevel modeling has been mainly used in education research, health studies, psychology and sociology, its application to the study of social-economic phenomena and especially to business studies is rather scarce. Hence, its application to business studies might produce interesting new insights on business performance, especially due to the micro-macro interactions, for all the stakeholders. Therefore, the research is focused on business, namely to the analysis of the Romanian ICT sector. The current paper aims at illustrating a new assessment tool for business analysis, namely the assessment of company performance through a new approach called multilevel modeling. Given the nested structured of the database comprising the Romanian companies operating in ICT industry, a multilevel random coefficient model is suggested and how it can be fitted in R software. The conclusions of the research can be used by various stakeholders, including policy makers.

Suggested Citation

  • Miruna MAZURENCU MARINESCU, 2013. "Some Conceptual Aspects of the Multilevel Modeling for the Study of Social-Economic Phenomena," REVISTA ADMINISTRATIE SI MANAGEMENT PUBLIC, Faculty of Administration and Public Management, Academy of Economic Studies, Bucharest, Romania, vol. 2013(20), pages 25-34, June.
    • Handle: RePEc:rom:rampas:v:2013:y:2013:i:20:p:25-34
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    References listed on IDEAS

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    1. Islam, M. Kamrul & Merlo, Juan & Kawachi, Ichiro & Lindström, Martin & Burström, Kristina & Gerdtham, Ulf-G., 2006. "Does it really matter where you live? A panel data multilevel analysis of Swedish municipality-level social capital on individual health-related quality of life," Health Economics, Policy and Law, Cambridge University Press, vol. 1(3), pages 209-235, July.
    2. H. Baltagi, Badi & Heun Song, Seuck & Cheol Jung, Byoung, 2001. "The unbalanced nested error component regression model," Journal of Econometrics, Elsevier, vol. 101(2), pages 357-381, April.
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    Cited by:

    1. Roxana-Otilia-Sonia Hritcu, 2015. "Multilevel Models: Conceptual Framework and Applicability," Acta Universitatis Danubius. OEconomica, Danubius University of Galati, issue 11(5), pages 72-83, October.

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    Keywords

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    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • C87 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Econometric Software

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