Abu, N., & Staniewski, M. W. (2019). Determinants of corruption in Nigeria: evidence from various estimation techniques. Economic Research-Ekonomska Istraživanja, 32(1), 3058–3082. https://doi.org/10.1080/1331677X.2019.1655467 .
Adam, I., & Fazekas, M. (2021). Are emerging technologies helping win the fight against corruption? A review of the state of evidence. Information Economics and Policy. https://doi.org/10.1016/j.infoecopol.2021.100950 .
- Aidt, T. S., Hillman, A. L., & Qijun, L. I. U. (2020). Who takes bribes and how much? Evidence from the China Corruption Conviction Databank. World Development. https://doi.org/10.1016/j.worlddev.2020.104985 .
Paper not yet in RePEc: Add citation now
Aidt, T., Dutta, J., & Sena, V. (2008). Governance regimes, corruption and growth: Theory and evidence. Journal of Comparative Economics, 36(2), 195–220. https://doi.org/10.1016/j.jce.2007.11.004 .
Alonso-Borrego, C., & Arellano, M. (1999). Symmetrically normalized instrumental-variable estimation using panel data. Journal of Business and Economic Statistics, 17(1), 36–49. https://doi.org/10.2307/1392237 .
Altunbaş, Y., & Thornton, J. (2012). Does financial development reduce corruption? Economics Letters, 114(2), 221–223. https://doi.org/10.1016/J.ECONLET.2011.08.020 .
Andersen, T. B. (2009). E-Government as an anti-corruption strategy. Information Economics and policy, 21(3), 201–210. https://doi.org/10.1016/j.infoecopol.2008.11.003 .
Arellano, M., & Bond, S. (1991). Some tests of specification for panel data: Monte Carlo evidence and an application to employment equations. The review of economic studies, 58(2), 277–297.
- Ben Ali, M. S., & Gasmi, A. (2017). Does ICT diffusion matter for corruption? An economic development perspective. Telematics and Informatics, 34(8), 1445–1453. https://doi.org/10.1016/j.tele.2017.06.008 .
Paper not yet in RePEc: Add citation now
- Bhattacherjee, A., & Shrivastava, U. (2018). The effects of ICT use and ICT Laws on corruption: A general deterrence theory perspective. Government Information Quarterly, 35(4), 703–712. https://doi.org/10.1016/j.giq.2018.07.006 .
Paper not yet in RePEc: Add citation now
Blundell, R., & Bond, S. (1998). Initial conditions and moment restrictions in dynamic panel data models. Journal of econometrics, 87(1), 115–143.
Bond, S. R. (2002). Dynamic panel data models: a guide to micro data methods and practice. Portuguese economic journal, 1(2), 141–162.
Charoensukmongkol, P., & Moqbel, M. (2014). Does investment in ICT curb or create more corruption? a cross-country analysis. Public Organization Review, 14(1), 51–63. https://doi.org/10.1007/s11115-012-0205-8 .
Corrado, G., & Rossetti, F. (2018). Public corruption: A study across regions in Italy. Journal of Policy Modeling, 40(6), 1126–1139. https://doi.org/10.1016/j.jpolmod.2018.01.001 .
- d’Agostino, G., Dunne, J. P., & Pieroni L. (2016). Government spending, corruption and economic growth. World Development, 84(C), 190–205.
Paper not yet in RePEc: Add citation now
Del Monte, A., & Papagni, E. (2007). The determinants of corruption in Italy: Regional panel data analysis. European Journal of Political Economy, 23(2), 379–396. https://doi.org/10.1016/j.ejpoleco.2006.03.004 .
- Elbahnasawy, N. (2014). E-Government, Internet Adoption, and Corruption: An Empirical Investigation. World Development, 57(C), 114–126.
Paper not yet in RePEc: Add citation now
Elbahnasawy, N. G., & Revier, C. F. (2012). The determinants of corruption: cross-country-panel-data analysis. Developing Economies, 50(4), 311–333. https://doi.org/10.1111/j.1746-1049.2012.00177.x .
- Ghalwash, T. (2014). Corruption and Economic Growth: Evidence from Egypt. Modern Economy, 05, 1001–1009. https://doi.org/10.4236/me.2014.510092 .
Paper not yet in RePEc: Add citation now
Goel, R., & Nelson, M. (2010). Causes of corruption: History, geography and government. Journal of Policy Modeling, 32(4), 433–447.
- Gründler, K., & Potrafke, N. (2019). Corruption and economic growth: New empirical evidence. European Journal of Political Economy. https://doi.org/10.1016/j.ejpoleco.2019.08.001 .
Paper not yet in RePEc: Add citation now
Hansen, L. P. (1982). Large Sample Properties of Generalized Method of Moments Estimators. Econometrica, 50(4), 1029–1054. https://doi.org/10.2307/1912775 .
Heeks, R. (1999). Information Technology and the Management of Corruption. Development in Practice, 9(1/2), 184–189. http://www.jstor.org/stable/4029721 .
- ITU. (2009). Measuring the Information Society: ICT Development Index. http://www.itu.int/ITU-D/ict/publications/idi/2009/index.html .
Paper not yet in RePEc: Add citation now
Jha, C. K. (2019). Financial reforms and corruption: Evidence using GMM estimation. International Review of Economics and Finance, 62, 66–78. https://doi.org/10.1016/j.iref.2019.03.003 .
- Ko, K., & Samajdar, A. (2010). Evaluation of International Corruption Indexes: Should We Believe Them or Not? Social Science Journal, 47, 508–540. https://doi.org/10.1016/j.soscij.2010.03.001 .
Paper not yet in RePEc: Add citation now
- Lio, M.-C., Liu, M.-C., & Ou, Y.-P. (2011). Can the internet reduce corruption? A cross-country study based on dynamic panel data models. Government Information Quarterly, 28(1), 47–53. https://doi.org/10.1016/j.giq.2010.01.005 .
Paper not yet in RePEc: Add citation now
- Mauro, P. (1995). Corruption and Growth. The Quarterly Journal of Economics, 110(3), 681–712. https://doi.org/10.2307/2946696 .
Paper not yet in RePEc: Add citation now
- Merhi, M., & Ahluwalia, P. (2018). Digital Economy and Corruption Perceptions: A Cross-Country Analysis. The International Journal of Digital Accounting Research, 18, 29–47. https://doi.org/10.4192/1577-8517-v18_2 .
Paper not yet in RePEc: Add citation now
- Mistry, J. J., & Jalal, A. (2012). An empirical analysis of the relationship between e-government and corruption. International Journal of Digital Accounting Research, 12, 145–176. https://doi.org/10.4192/1577-8517-v12_6 .
Paper not yet in RePEc: Add citation now
- Okunola, O. M., Rowley, J., & Johnson, F. (2017). The multi-dimensional digital divide: Perspectives from an e-government portal in Nigeria. Government Information Quarterly, 34(2), 329–339. https://doi.org/10.1016/j.giq.2017.02.002 .
Paper not yet in RePEc: Add citation now
- Park, S. R., Choi, D. Y., & Hong, P. (2015). Club convergence and factors of digital divide across countries. Technological Forecasting and Social Change, 96, 92–100. https://doi.org/10.1016/j.techfore.2015.02.011 .
Paper not yet in RePEc: Add citation now
Rath, B. N. (2016). Does the digital divide across countries lead to convergence? New international evidence. Economic Modelling, 58(C), 75-82.
- Rock, M. T., & Bonnett, H. (2004). The Comparative Politics of Corruption: Accounting for the East Asian Paradox in Empirical Studies of Corruption, Growth and Investment. World Development, 32(6), 999–1017. https://doi.org/10.1016/j.worlddev.2003.12.002 .
Paper not yet in RePEc: Add citation now
- Sargan, J. D. (1958). The Estimation of Economic Relationships Using Instrumental Variables. Econometrica, 26(3), 393–415.
Paper not yet in RePEc: Add citation now
Sassi, S., & Ali, M. S. B. (2017). Corruption in Africa: What role does ICT diffusion play. Telecommunications Policy, 41(7–8), 662–669. https://doi.org/10.1016/j.telpol.2017.05.002 .
- Sharma, C., & Paramati, S. R. (2020). ‘Does financial development reduce the level of corruption? Evidence from a global sample of 140 countries. International Journal of Finance & Economics, 26(4), 5093–5109. https://doi.org/10.1002/ijfe.2056 .
Paper not yet in RePEc: Add citation now
- Shim, D. C., & Eom, T. H. (2009). Anticorruption effects of information communication and technology (ICT) and social capital. International review of administrative sciences, 75(1), 99–116. https://doi.org/10.1177/0020852308099508 .
Paper not yet in RePEc: Add citation now
- Shim, D., & Eom, T. H. (2008). E-Government and Anti-Corruption: Empirical Analysis of International Data. International Journal of Public Administration, 31, 298–316. https://doi.org/10.1080/01900690701590553 .
Paper not yet in RePEc: Add citation now
Staiger, D., & Stock, J. H. (1997). Instrumental variables regression with weak instruments. Econometrica, 65(3), 557–586. https://doi.org/10.2307/2171753 .
- Transparency International. (2005). “Annual report” (Berlin: Transparency International). https://www.transparency.org/en/cpi/2005 .
Paper not yet in RePEc: Add citation now
- Transparency International. (2019). “Annual report” (Berlin: Transparency International). https://www.transparency.org/files/content/pages/2019_CPI_Report_EN.pdf .
Paper not yet in RePEc: Add citation now
Treisman, D. (2000). The causes of corruption: a cross-national study. Journal of Public Economics, 76(3), 399–457. https://doi.org/10.1016/S0047-2727(99)00092-4 .
World Bank. (1997). World Development Report. The World Bank.