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Bribing Behaviour and Sample Selection: Evidence from Post-Socialist countries and Western Europe

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  • Timothy Hinks

    (University of the West of England, Bristol)

  • Artjoms Ivlevs

    (University of the West of England, Bristol)

Abstract

We study the individual-level determinants of bribing public officials. Particular attention is paid to the issue of respondents’ non-random selection into contact with public officials, which may result in biased estimates. Data come from the 2010 Life in Transition Survey, covering 30 post-socialist and five Western European countries. The Heckman probit model results suggest that the elderly are less likely to bribe public officials, while linguistic minorities, people with higher perceived relative income and those with lower trust in public institutions are more likely to bribe. The results also show that not accounting for sample selection effects produces an upward bias in estimated coefficients.

Suggested Citation

  • Timothy Hinks & Artjoms Ivlevs, 2012. "Bribing Behaviour and Sample Selection: Evidence from Post-Socialist countries and Western Europe," Working Papers 20121208, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
  • Handle: RePEc:uwe:wpaper:20121208
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    Cited by:

    1. Lambsdorff Johann Graf & Schulze Günther G., 2015. "Guest Editorial: Special Issue on Corruption at the Grassroots-level: What Can We Know About Corruption?," Journal of Economics and Statistics (Jahrbuecher fuer Nationaloekonomie und Statistik), De Gruyter, vol. 235(2), pages 100-114, April.
    2. Hinks, Timothy, 2020. "Bribery, motivations for bribery and life satisfaction in transitional countries," World Development Perspectives, Elsevier, vol. 17(C).
    3. Ivlevs, Artjoms & Hinks, Timothy, 2018. "Former Communist party membership and bribery in the post-socialist countries," Journal of Comparative Economics, Elsevier, vol. 46(4), pages 1411-1424.
    4. Artjoms Ivlevs & Timothy Hinks, 2015. "Global economic crisis and corruption," Public Choice, Springer, vol. 162(3), pages 425-445, March.
    5. Mavisakalyan, Astghik & Otrachshenko, Vladimir & Popova, Olga, 2021. "Can bribery buy health? Evidence from post-communist countries," Journal of Comparative Economics, Elsevier, vol. 49(4), pages 991-1007.
    6. Timothy Hinks & Artjoms Ivlevs, 2014. "Communist party membership and bribe paying in transitional economies," Working Papers 20141401, Department of Accounting, Economics and Finance, Bristol Business School, University of the West of England, Bristol.
    7. Luca Andriani & Gaygysyz Ashyrov, 2022. "Corruption and life satisfaction: Evidence from a transition survey," Kyklos, Wiley Blackwell, vol. 75(4), pages 511-535, November.
    8. Richard Kasa & Gábor Réthi & György Hauber & Krisztina Szegedi, 2023. "Simulation of Corruption Decisions—An Agent-Based Approach," Sustainability, MDPI, vol. 15(3), pages 1-18, January.

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    More about this item

    Keywords

    Bribing; Sample Selection; Transition economies;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • D73 - Microeconomics - - Analysis of Collective Decision-Making - - - Bureaucracy; Administrative Processes in Public Organizations; Corruption
    • P2 - Political Economy and Comparative Economic Systems - - Socialist and Transition Economies

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