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Predicting Corrupt Practices In The Public Sector For 23 Oecd Countries

Author

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  • KOYUNCU, Cuneyt
  • BHATTACHARYYA, Gautam

Abstract

This paper adopts the MIMIC approach to estimate the relative development of corruption in 23 OECD countries for the period 1975-1993. The results indicate that Japan, Portugal, Spain, Greece, South Korea, and Turkey face with relatively high level of corruption while Netherlands, Norway, Ireland, Denmark, and Belgium experience relatively low level of corruption over time. For the other countries, corruption falls in either moderate category or fluctuates between two different categories. By using panel regression, we also found a statistically significant negative impact of the estimated corruption index on the investment level but not on the economic growth.

Suggested Citation

  • KOYUNCU, Cuneyt & BHATTACHARYYA, Gautam, 2007. "Predicting Corrupt Practices In The Public Sector For 23 Oecd Countries," Applied Econometrics and International Development, Euro-American Association of Economic Development, vol. 7(1).
  • Handle: RePEc:eaa:aeinde:v:7:y:2007:i:1_2
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    Citations

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    Cited by:

    1. Udit MAHESHWARI & Ashutosh PRIYA & Ravi Kumar GUPTA, 2022. "An analysis of the effect of widespread unemployment on corruption," Theoretical and Applied Economics, Asociatia Generala a Economistilor din Romania - AGER, vol. 0(4(633), W), pages 163-172, Winter.
    2. Malik Shahzad Shabbir & Hummera Saleem & Muhammad Bilal Khan, 2021. "Impact of Internet Adoption and Mobile Phone Penetration on Corruption: Evidence from Selected Asia-Paciï¬ c Countries," Global Business Review, International Management Institute, vol. 22(4), pages 906-920, August.

    More about this item

    Keywords

    Corruption; bribery; government; growth; investment;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access

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