[
Alvaredo, F., L. Chancel, T. Piketty, E. Saez, and Zucman G. 2018. World Inequality Report 2018. Belknap Press.10.4159/9780674984769
]Search in Google Scholar
[
Apergis, N. 2021. The role of fiscal policy in the link between income inequality and banking crises. Applied Economics Letters 28 (15): 1283-1287.10.1080/13504851.2020.1808570
]Search in Google Scholar
[
Arellano, M., and 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): 277-297.10.2307/2297968
]Search in Google Scholar
[
Arellano, M., and Bover, O. 1995. Another look at the instrumental variable estimation of error-components models. Journal of Econometrics 68 (1): 29-51.10.1016/0304-4076(94)01642-D
]Search in Google Scholar
[
Asamoah, L. A. 2021. Institutional Quality and Income Inequality in Developing Countries:A Dynamic Panel Threshold Analysis. Progress in Development Studies 14649934211016715.10.1177/14649934211016715
]Search in Google Scholar
[
Asogwa, F. O., Onyeke, Q. O., Kuma, P. M., Arazue, W. O., and Nkalu, C. N. 2021. Do macroeconomic indicators determine income inequality in selected African countries? Journal of Public Affairs, e2560.10.1002/pa.2560
]Search in Google Scholar
[
Berisha, E., Gupta, R., and Meszaros, J. 2020. The impact of macroeconomic factors on income inequality: Evidence from the BRICS. Economic Modelling 91: 559-567.10.1016/j.econmod.2019.12.007
]Search in Google Scholar
[
Blancheton, B., and Chhorn, D. 2021. Government Intervention, Institutional Quality, and Income Inequality: Evidence from Asia and the Pacific, 1988–2014. Asian Development Review 38 (1): 176-206.10.1162/adev_a_00162
]Search in Google Scholar
[
Canh, N. P., Schinckus, C., Thanh, S. D., and Ling, F. C. H. 2020. Effects of the internet, mobile, and land phones on income inequality and The Kuznets curve: Cross country analysis. Telecommunications Policy 44 (10): 102041.10.1016/j.telpol.2020.102041
]Search in Google Scholar
[
Demir, A., Pesqué-Cela, V., Altunbas, Y., and Murinde, V. 2020. Fintech, financial inclusion and income inequality: a quantile regression approach. The European Journal of Finance 1-22.10.1080/1351847X.2020.1772335
]Search in Google Scholar
[
Deyshappriya, N. P. 2017. Impact of Macroeconomic Factors on Income Inequality and Income Distribution in Asian Countries. ADBI Working Paper 696. Tokyo: Asian Development Bank Institute. https://www.adb.org/publications/impactmacroeconomic-factors-income-inequality-distribution.
]Search in Google Scholar
[
Hailemariam, A., Sakutukwa, T., and Dzhumashev, R. 2021. Long-term determinants of income inequality: evidence from panel data over 1870–2016. Empirical Economics 61 (4): 1935-1958.10.1007/s00181-020-01956-7
]Search in Google Scholar
[
Herzer, D., and Nunnenkamp, P. 2013. Inward and outward FDI and income inequality: evidence from Europe. Review of World Economics 149 (2): 395-422.10.1007/s10290-013-0148-3
]Search in Google Scholar
[
Herzer, D., Hühne, P., and Nunnenkamp, P. 2014. FDI and Income Inequality—Evidence from Latin A merican Economies. Review of Development Economics 18 (4): 778-793.10.1111/rode.12118
]Search in Google Scholar
[
Holtz-Eakin, D., Newey, W., and Rosen, H. S. 1988. Estimating vector autoregressions with panel data. Econometrica 56 (6): 1371-1395.10.2307/1913103
]Search in Google Scholar
[
ITU. 2018. Measuring the Information Society Report 2018. https://www.itu.int/en/ITU-D/Statistics/Pages/publications/misr2018.aspx [Accessed online 11 July 2021].
]Search in Google Scholar
[
Josifidis, K., Supić, N., and Beker-Pucar, E. 2017. Institutional quality and income inequality in the advanced countries. Panoeconomicus 64 (2): 169-188.10.2298/PAN1702169J
]Search in Google Scholar
[
Judson, R. A., and Owen, A. L. 1999. Estimating dynamic panel data models: a guide for macroeconomists. Economics Letters 65 (1): 9-15.10.1016/S0165-1765(99)00130-5
]Search in Google Scholar
[
Kaufmann, D., Kraay, A., and Mastruzzi, M. 2011. The Worldwide Governance Indicators: Methodology and Analytical Issues1. Hague Journal on the rule of law 3 (2): 220-246.10.1017/S1876404511200046
]Search in Google Scholar
[
Kaulihowa, T., and Adjasi, C. 2018. FDI and income inequality in Africa. Oxford Development Studies 46 (2): 250-265.10.1080/13600818.2017.1381233
]Search in Google Scholar
[
Kotarba, M. 2017. Measuring Digitalization Key Metrics. Foundations of Management 9 (1): 123-138.10.1515/fman-2017-0010
]Search in Google Scholar
[
Kunawotor, M. E., Bokpin, G. A., and Barnor, C. 2020. Drivers of income inequality in Africa: Does institutional quality matter? African Development Review 32 (4): 718-729.10.1111/1467-8268.12473
]Search in Google Scholar
[
Kuznets, S. 1955. Economic growth and income inequality. The American Economic Review 45 (1): 1-28.
]Search in Google Scholar
[
Law, C. H., and Soon, S. V. 2020. The impact of inflation on income inequality: The role of institutional quality. Applied Economics Letters 27 (21): 1735-1738.10.1080/13504851.2020.1717425
]Search in Google Scholar
[
Law, S. H., Naseem, N. A. M., Lau, W. T., and Trinugroho, I. 2020. Can innovation improve income inequality? Evidence from panel data. Economic Systems 44 (4): 100815.10.1016/j.ecosys.2020.100815
]Search in Google Scholar
[
Li, S., and Filer, L. 2007. The effects of the governance environment on the choice of investment mode and the strategic implications. Journal of World Business 42 (1): 80-98.10.1016/j.jwb.2006.11.006
]Search in Google Scholar
[
Mirza, M. U., Richter, A., van Nes, E. H., and Scheffer, M. 2019. Technology driven inequality leads to poverty and resource depletion. Ecological Economics 160: 215-226.10.1016/j.ecolecon.2019.02.015
]Search in Google Scholar
[
Mohd Daud, S. N., Ahmad, A. H., and Ngah, W. A. S. W. 2020. Financialization, digital technology and income inequality. Applied Economics Letters 1-5.10.1080/13504851.2020.1808165
]Search in Google Scholar
[
Mönnig, A., Maier, T., and Zika, G. 2019. Economy 4.0–digitalisation and its effect on wage inequality. Journal of Economics and Statistics 239 (3): 363-398.10.1515/jbnst-2017-0151
]Search in Google Scholar
[
Nadia, Z. B. H., and Teheni, Z. E. G. 2014. Finance, governance and inequality: A non parametric approach. International Strategic Management Review 2 (1): 31-38.10.1016/j.ism.2014.01.001
]Search in Google Scholar
[
Perera, L. D. H., and Lee, G. H. 2013. Have economic growth and institutional quality contributed to poverty and inequality reduction in Asia? Journal of Asian Economics 27: 71-86.10.1016/j.asieco.2013.06.002
]Search in Google Scholar
[
Pesaran, M. H., Shin, Y., and Smith, R. P. 1999. Pooled mean group estimation of dynamic heterogeneous panels. Journal of the American Statistical Association 94 (446): 621-634.10.1080/01621459.1999.10474156
]Search in Google Scholar
[
Qureshi, Z. 2020. Inequality in the digital era. Work in the Age of Data, BBVA, Madrid.
]Search in Google Scholar
[
Reuveny, R., and Li, Q. 2003. Economic openness, democracy, and income inequality: An empirical analysis. Comparative Political Studies 36 (5): 575-601.10.1177/0010414003036005004
]Search in Google Scholar
[
Richmond, K., and Triplett, R. E. 2018. ICT and income inequality: a cross-national perspective. International Review of Applied Economics 32 (2): 195-214.10.1080/02692171.2017.1338677
]Search in Google Scholar
[
Roodman, D. 2009. How to do xtabond2: An introduction to difference and system GMM in Stata. The Stata Journal 9 (1): 86-136.10.1177/1536867X0900900106
]Search in Google Scholar
[
Teixeira, A. A., and Loureiro, A. S. 2019. FDI, income inequality and poverty: a time series analysis of Portugal, 1973–2016. Portuguese Economic Journal 18 (3): 203-249.10.1007/s10258-018-00152-x
]Search in Google Scholar
[
UNCTAD. 2021. Digital Economy Report 2019 - Value creation and capture: Implications for developing countries. https://unctad.org/webflyer/digital-economy-report-2019 [Accessed online 11 July 2021].
]Search in Google Scholar
[
Wong, M. Y. 2017. Public spending, corruption, and income inequality: A comparative analysis of Asia and Latin America. International Political Science Review 38 (3): 298-315.10.1177/0192512116642617
]Search in Google Scholar
[
Wu, J. Y., and Hsu, C. C. 2012. Foreign direct investment and income inequality: Does the relationship vary with absorptive capacity? Economic Modelling 29 (6): 2183-2189.10.1016/j.econmod.2012.06.013
]Search in Google Scholar
[
Zilian, S. S., and Zilian, L. S. 2020. Digital inequality in Austria: Empirical evidence from the survey of the OECD “Programme for the International Assessment of Adult Competencies”. Technology in Society 63: 101397.10.1016/j.techsoc.2020.101397
]Search in Google Scholar