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Econometric Models used for the Corruption Analysis

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  • Andrei, Tudorel
  • Stancu, Stelian
  • Nedelcu, Monica
  • Matei, Ani

Abstract

The article conveys a series of features of the public administration by using some econometric models. In order to estimate the parameters, we used a series of data registered from a illustrative sample of civil servants. With the aim of analysing the corruption, there are used various regression and simultaneous equation models. The corruption level is analysed depending on a series of factors such as the political system pressure, the administration transparency, the quality of the civil servants’ job-related relationships

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File URL: http://mpra.ub.uni-muenchen.de/19623/
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Bibliographic Info

Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 19623.

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Date of creation: 15 Jan 2009
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Publication status: Published in Economic Computation and Economic Cybernetics Studies and Research 1/2009.43(2009): pp. 101-122
Handle: RePEc:pra:mprapa:19623

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Keywords: corruption; public administration; regression models;

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  1. Andrei, Tudorel & Teodorescu, Daniel & Iacob, Andreea Iluzia E. S. & Stancu, Stelian, 2007. "The Application of the Econometric Models with Qualitative Variables in the Analysis of the Non Academic Behaviors at the Level of the Romanian Higher Education System," MPRA Paper 6889, University Library of Munich, Germany.
  2. Erwin Tiongson & Hamid Reza Davoodi & Sanjeev Gupta, 2000. "Corruption and the Provision of Health Care and Education Services," IMF Working Papers 00/116, International Monetary Fund.
  3. Bai, Chong-en & Wei, Shang-Jin, 2001. "The quality of bureaucracy and capital account policies," Policy Research Working Paper Series 2575, The World Bank.
  4. Shah, Anwar, 2006. "Corruption and decentralized public governance," Policy Research Working Paper Series 3824, The World Bank.
  5. Tudorel ANDREI & Ani MATEI & Ion Gh. ROSCA, 2009. "The Corruption - An Economic and Social Analysis," Economics Books, The Economica Publishing House, edition 1, volume 1, number 03, 4.
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