Application of Heckman - Conway - Maxwell - Poisson Model for Analysing Corruption

References

[1] Abdulrahman, S. (2014). Stability analysis of the transmission dynamics and control of corruption. Pacific Journal of Science and Technology, vol. 15, no. 1, pp. 99–113.

[2] Adebayo, A. (2013). Youths’ unemployment and Corruption in Nigeria: A nexus and implications for national development. Nigeria; Federal University.

[3] Andrzej, C. & Lukasz, G. (2020). Who suffers and how much from corruption? Evidence from level data. Journal of Economic Literature, 35(3), 2-23

[4] Artjoms, L. & Timothy, H. (2012). Bribing Behavior and Sample Selection: Evidence from Post-Socialist countries and Western Europe. Journal of Economic Literature. vol. 147(3), pages 377-393

[5] Basu, Kaushik, Sudipto Bhattacharya & Ajit M. (1992). Notes on Bribery and the Control of Corruption. Journal of Public Economics 48: 349-359.

[6] Breslow, N. (1990). Tests of hypotheses in over dispersed Poisson regression and other quasi-likelihood models. J. Am. Statist. Ass., 85, 565–571

[7] Fisman, R. & Gatti, R. (2002). Decentralization and corruption: Evidence across countries. Journal of Public Economics, 83(3), 325-345.

[8] Huther, J. & Shah, A. (1998). Applying a simple measure of good governance to the debate on fiscal decentralization. World Bank,

[9] Kannan, P. (2021). Corruption Measurements: Caught Between Conceptualizing the Phenomenon and Promoting New Governance Agenda? Journal of Business Perspective. Volume: 26 issue: 1, page(s): 31-38

[10] La, P., Lopez, S., Shleifer, A., & Vishny, R. (1999). The quality of government. Journal of Law, Economics and Organization, 15(1), 222-279.

[11] Monte, Alfredo Del & Erasmo Papagni. (2001). Public Expenditure, Corruption, and Economic Growth: The Case of Italy. European Journal of Political Economy, 17, 1, 1-16.

[12] Mungiu, P. & Heywood, P. (Eds.). (2020). A research agenda for studies of corruption.Edward Elgar Publishing. Chapter 2.

[13] Nathan, O., & Jackob O. (2019). Stability analysis in a mathematical model of corruption in Kenya,Asian Research Journal of Mathematics, vol. 2019, pp. 1–15

[14] Tirole, J. (2006). ‘A Theory of Collective Reputations (with Applications to the Persistence of Corruption and to Firm Quality)’, Review of Economic Studies, 63(1): 1-22.

[15] United Nations Convention against Corruption, (2015). National Anti-Corruption Strategies: A Practical Guide for Development and Implementation. New York

[16] Waykar, S. (2013). Mathematical modelling: a comparatively mathematical study model base between corruption and development, IOSR Journal of Mathematics, vol. 6, no. 2, pp. 54– 62, 2013.

[17] You, J., & Khagram, S. (2005). A Comparative Study of Inequality and Corruption. American Sociological Review, 70: pp.136-157.

@article{1703756,
      author = {Leonard King'ora Thuo, Dr. Joseph Ouno Omondi, Dr. Boniface Kwach},
      title = {Application of Heckman - Conway - Maxwell - Poisson Model for Analysing Corruption},
      journal = {Iconic Research And Engineering Journals},
      year = {2022},
      volume = {6},
      number = {2},
      pages = {101-112},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1703756.pdf},
      abstract = {The main objective of this paper was to illustrate application of Heckman-Conway-Maxwell-Poisson ?HeckCOMPoisson? model for analyzing corruption. HeckCOMPoisson model is an integrated model from Heckman and Conway-Maxwell-Poisson model. HeckCOMPoisson was developed to handle count model with selection. The specific objective of this paper was to test the fitness of the integrated HeckCOMPoisson model in predicting number of people paying bribes. Corruption is among the most serious problems of the societies because it destroys the democratic progress by creating unemployment, increasing poverty level among other negative effects.  To achieve the objective of this paper, summary tables were created, graphs were drawn and the results discussed extensively. This paper used the corruption data of 2019 from Ethics and Anti-Corruption Commission (EACC) of Kenya. The results of this study showed that HeckCOMPoisson perform perfectly in terms of Goodness-of-Fit (GOF) and in prediction of count data with selection and handling under-dispersion and over-dispersion experienced in count data. The results of this study proved that HeckCOMPoisson distribution is flexible and gives robust models for dispersed counts. By parametrizing HeckCOMPoisson distributions via the mean, variance and model prediction, this study placed HeckCOMPoisson models on the same level of interpretability and parsimony as other popular, competing count models.},
      keywords = {Corruption, HeckCOMPoisson},
      month = {August},
  }