Statistical Methods for Effectiveness Estimation of Municipal Institutions


Municipal institutions operate in all sectors of the urban economy, creating jobs, providing services, and creating income for their own development and the municipal budget. Market environment and innovative vector of megapolis development include the establishment municipal institutions and improve the forms of their activities. One of the strategic objectives for the government is to increase the effectiveness of municipal institutions. Problems integrated estimation of these institutions are under intense scrutiny of statistical science in management decisions. This paper discussed the problems of effectiveness estimation of municipal institutions and proposed a new approach to solving this task.

Share and Cite:

Chemezova, E. and Zaykov, K. (2014) Statistical Methods for Effectiveness Estimation of Municipal Institutions. Open Journal of Statistics, 4, 797-801. doi: 10.4236/ojs.2014.49075.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] Federal Law No. 131-FZ 1 (2009) On General Principles of Organization of Local Government in Russian Federation.
[2] Glinskiy, V.V., Serga, L.K. and Scherbak, I.V. (2012) Estimation of Tourism Multiplier Effect at the Regional. Statistical Studies, 1, 48-52.
[3] Kaplan, R.S. and Norton, D.P. (1992) The Balanced Scorecard: Measures That Drive Performance. Harvard Business Review, January/February, 71.
[4] Shapkharova, N.I. and Chemezova, E.Yu. (2009) Social and Economical Typology of Municipal Formations of a Region. Siberian Financial School, 3, 28-33.
[5] Glinskiy, V.V. (2008) Statistical Methods to Support Management Decisions: Monograph. Publishing NSUEM, Novosibirsk.
[6] Glinskiy, V.V. and Chemezova, E.Yu. (2012) On Convergence of Main Concepts of Typology of Social-Economic Studies Data. Vestnik NSUEM, 2, 67-73.
[7] Chemezova, E.Yu. (2013) Statistical Methods in the Solution of the Applied Problems of the Development of Territory. Vestnik NSUEM, 4, 153-165.

Copyright © 2023 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.