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Freedom of information acts and public sector corruption

Author

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  • Monica Escaleras
  • Shu Lin
  • Charles Register

Abstract

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Suggested Citation

  • Monica Escaleras & Shu Lin & Charles Register, 2010. "Freedom of information acts and public sector corruption," Public Choice, Springer, vol. 145(3), pages 435-460, December.
  • Handle: RePEc:kap:pubcho:v:145:y:2010:i:3:p:435-460
    DOI: 10.1007/s11127-009-9574-0
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    References listed on IDEAS

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    1. Lorenzo Pellegrini & Reyer Gerlagh, 2004. "Corruption's Effect on Growth and its Transmission Channels," Kyklos, Wiley Blackwell, vol. 57(3), pages 429-456, August.
    2. Alberto Alesina & Beatrice Weder, 2002. "Do Corrupt Governments Receive Less Foreign Aid?," American Economic Review, American Economic Association, vol. 92(4), pages 1126-1137, September.
    3. Stephen Knack & Philip Keefer, 1995. "Institutions And Economic Performance: Cross‐Country Tests Using Alternative Institutional Measures," Economics and Politics, Wiley Blackwell, vol. 7(3), pages 207-227, November.
    4. Lin, Shu & Ye, Haichun, 2007. "Does inflation targeting really make a difference? Evaluating the treatment effect of inflation targeting in seven industrial countries," Journal of Monetary Economics, Elsevier, vol. 54(8), pages 2521-2533, November.
    5. Nejat Anbarci & Monica Escaleras & Charles A. Register, 2009. "The Ill Effects of Public Sector Corruption in the Water and Sanitation Sector," Land Economics, University of Wisconsin Press, vol. 85(2), pages 363-377.
    6. Pierre-Guillaume Méon & Khalid Sekkat, 2005. "Does corruption grease or sand the wheels of growth?," Public Choice, Springer, vol. 122(1), pages 69-97, January.
    7. Treisman, Daniel, 2000. "The causes of corruption: a cross-national study," Journal of Public Economics, Elsevier, vol. 76(3), pages 399-457, June.
    8. King, Gary & Zeng, Langche, 2001. "Logistic Regression in Rare Events Data," Political Analysis, Cambridge University Press, vol. 9(2), pages 137-163, January.
    9. Monica Escaleras & Nejat Anbarci & Charles Register, 2007. "Public sector corruption and major earthquakes: A potentially deadly interaction," Public Choice, Springer, vol. 132(1), pages 209-230, July.
    10. Danila Serra, 2006. "Empirical determinants of corruption: A sensitivity analysis," Public Choice, Springer, vol. 126(1), pages 225-256, January.
    11. James J. Heckman & Hidehiko Ichimura & Petra Todd, 1998. "Matching As An Econometric Evaluation Estimator," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 65(2), pages 261-294.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Yamamura, Eiji, 2011. "Groups and information disclosure: Olson and Putnam Hypotheses," MPRA Paper 34628, University Library of Munich, Germany.
    2. Yongzheng Liu & Haibo Feng, 2015. "Tax structure and corruption: cross-country evidence," Public Choice, Springer, vol. 162(1), pages 57-78, January.
    3. Eiji Yamamura, 2014. "Impact of natural disaster on public sector corruption," Public Choice, Springer, vol. 161(3), pages 385-405, December.
    4. Eiji Yamamura, 2012. "Groups and information disclosure: evidence on the Olson and Putnam hypotheses in Japan," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 39(6), pages 423-439, May.
    5. Garrow, Laurie A. & Kressner, Josephine & Mumbower, Stacey, 2011. "Is increasing airline denied boarding compensation limits the answer? Factors that contribute to denied boardings," Journal of Air Transport Management, Elsevier, vol. 17(5), pages 271-277.
    6. Eiji Yamamura, 2013. "Public sector corruption and the probability of technological disasters," Economics of Governance, Springer, vol. 14(3), pages 233-255, August.
    7. Calogero Guccio & Domenico Lisi & Ilde Rizzo, 2019. "When the purchasing officer looks the other way: on the waste effects of debauched local environment in public works execution," Economics of Governance, Springer, vol. 20(3), pages 205-236, September.
    8. Gans-Morse, Jordan & Borges, Mariana & Makarin, Alexey & Mannah-Blankson, Theresa & Nickow, Andre & Zhang, Dong, 2018. "Reducing bureaucratic corruption: Interdisciplinary perspectives on what works," World Development, Elsevier, vol. 105(C), pages 171-188.
    9. Nishijima, Marislei & Ellis, Randall P. & Cati, Regina C., 2022. "Primary healthcare effects of a well-designed anti-corruption program," World Development Perspectives, Elsevier, vol. 25(C).
    10. Ali T. Akarca & Aysit Tansel, 2016. "Voter reaction to government incompetence and corruption related to the 1999 earthquakes in Turkey," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 43(2), pages 309-335, May.
    11. Federico Ceschel & Alessandro Hinna & Fabian Homberg, 2022. "Public Sector Strategies in Curbing Corruption: A Review of the Literature," Public Organization Review, Springer, vol. 22(3), pages 571-591, September.
    12. Paulo Arvate & Sergio Mittlaender, 2017. "Condemning corruption while condoning inefficiency: an experimental investigation into voting behavior," Public Choice, Springer, vol. 172(3), pages 399-419, September.
    13. Alejandro Sáez-Martín & Antonio M. López-Hernandez & Carmen Caba-Perez, 2017. "Access to public information: a scientometric study of legal versus voluntary transparency in the public sector," Scientometrics, Springer;Akadémiai Kiadó, vol. 113(3), pages 1697-1720, December.
    14. Blume, Lorenz & Voigt, Stefan, 2013. "The economic effects of constitutional budget institutions," European Journal of Political Economy, Elsevier, vol. 29(C), pages 236-251.
    15. Yamamura, Eiji, 2012. "Effects of groups and government size on information disclosure," MPRA Paper 36141, University Library of Munich, Germany.
    16. Cordis, Adriana S. & Warren, Patrick L., 2014. "Sunshine as disinfectant: The effect of state Freedom of Information Act laws on public corruption," Journal of Public Economics, Elsevier, vol. 115(C), pages 18-36.

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    More about this item

    Keywords

    Freedom of information; Governmental transparency; Institutions; Public sector corruption; D73; D78; H11; O10;
    All these keywords.

    JEL classification:

    • D73 - Microeconomics - - Analysis of Collective Decision-Making - - - Bureaucracy; Administrative Processes in Public Organizations; Corruption
    • D78 - Microeconomics - - Analysis of Collective Decision-Making - - - Positive Analysis of Policy Formulation and Implementation
    • H11 - Public Economics - - Structure and Scope of Government - - - Structure and Scope of Government
    • O10 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - General

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