Abstract:This paper provides empirical evidence to assess the impact of socioeconomic and political variables on different measures of income inequality based on the 27 units of the Brazilian federation in the period from 1999 to 2008. The Brazilian experience is a good example for understanding the income inequality policies in developing countries. The findings suggest that the improvement observed along the period under analysis is a result of the combination of increased trade openness, technological and financial … Show more
“…The corruption can raise the income inequality by considering the suggestions of Gupta et al (1998) and the large part of existing empirical literature verified the theoretical considerations (e.g. see Apergis et al, 2010;Dwiputri et al, 2018;Ferreira de Mendonça and Martins Esteves, 2014;Huang, 2013;Mehrara et al, 2011). However, Rodriguez Andres and Ramlogan- Dobson (2008), Dobson and Ramlogan-Dobson (2010) and Dobson and Ramlogan-Dobson (2012) reached the opposite findings for Latin American countries and they evaluated that this finding may result from a relatively higher shadow economy, but de Ferreira de Mendonça and Martins Esteves (2014) revealed that improvements in the corruption decreased the income inequality in 27 Brazilian regions.…”
Section: Westerlund and Edgerton (2007) Lm Bootstrap Cointegration Testmentioning
confidence: 85%
“…There have been extensive studies on the inflation-inequality nexus and unemployment-inequality nexus, but a limited number of studies have investigated the interaction between the misery index, consisting of both inflation and unemployment, and income inequality. The papers examining the interaction between the inflation-inequality nexus have reached mixed findings, while most of the studies have revealed a positive relationship between unemployment and income inequality or a negative relationship between employment and income inequality (e.g., see Apergis et al, 2010;Bulir, 2001;Ferreira de Mendonça and Martins Esteves, 2014;Monnin, 2014;Rice and Lozada, 1983;Thalassinos et al, 2012).…”
Section: Literature Reviewmentioning
confidence: 99%
“…Most of the studies have discovered that increases in corruption raised income equality (e.g. see Apergis et al, 2010;Dincer and Gunalp, 2008;Ferreira de Mendonça and Martins Esteves, 2014;Gupta et al, 1998;Huang, 2013;Li et al, 2000;Mehrara et al, 2011;Ullah and Ahmad, 2007). Meanwhile, relatively few studies have found that decreases in the corruption increased income inequality (e.g., see Dobson and Ramlogan-Dobson, 2010;Mehrara et al, 2011;Rodriguez Andres and Ramlogan-Dobson, 2008;Wong, 2017).…”
Section: Literature Reviewmentioning
confidence: 99%
“…The relevant empirical literature also verifies this expectation. On the one hand, most of the empirical studies have revealed that the unemployment raised the unemployment (e.g., see Apergis et al, 2010;Bulir, 2001;Ferreira de Mendonça and Martins Esteves, 2014;Monnin, 2014;Rice and Lozada, 1983;Thalassinos et al, 2012). On the other side, the existing literature on the nexus between inflation and income inequality has stayed inconclusive.…”
Section: Westerlund and Edgerton (2007) Lm Bootstrap Cointegration Testmentioning
The globalization process has led to considerable increases in the flow of goods, services and financial assets, and thus global production and wealth have risen substantially during the past 40 years. However, discussion has now centered around the rising income inequality and poverty in some parts of the world. In this regard, the Latin American region is one of the leading regions in terms of income inequality. This study investigates the interaction among misery index, corruption and income inequality in Latin American countries during the 2002-2014 period, employing the Westerlund and Edgerton (2007) LM bootstrap cointegration test and the Kónya (2006) bootstrap panel Granger causality test. The findings reveal that increases in both the misery index and corruption played a part in the increases in income inequality. Furthermore, the results of the causality test reveal unidirectional causality from the misery index to income inequality and bidirectional causality between corruption and income inequality.
“…The corruption can raise the income inequality by considering the suggestions of Gupta et al (1998) and the large part of existing empirical literature verified the theoretical considerations (e.g. see Apergis et al, 2010;Dwiputri et al, 2018;Ferreira de Mendonça and Martins Esteves, 2014;Huang, 2013;Mehrara et al, 2011). However, Rodriguez Andres and Ramlogan- Dobson (2008), Dobson and Ramlogan-Dobson (2010) and Dobson and Ramlogan-Dobson (2012) reached the opposite findings for Latin American countries and they evaluated that this finding may result from a relatively higher shadow economy, but de Ferreira de Mendonça and Martins Esteves (2014) revealed that improvements in the corruption decreased the income inequality in 27 Brazilian regions.…”
Section: Westerlund and Edgerton (2007) Lm Bootstrap Cointegration Testmentioning
confidence: 85%
“…There have been extensive studies on the inflation-inequality nexus and unemployment-inequality nexus, but a limited number of studies have investigated the interaction between the misery index, consisting of both inflation and unemployment, and income inequality. The papers examining the interaction between the inflation-inequality nexus have reached mixed findings, while most of the studies have revealed a positive relationship between unemployment and income inequality or a negative relationship between employment and income inequality (e.g., see Apergis et al, 2010;Bulir, 2001;Ferreira de Mendonça and Martins Esteves, 2014;Monnin, 2014;Rice and Lozada, 1983;Thalassinos et al, 2012).…”
Section: Literature Reviewmentioning
confidence: 99%
“…Most of the studies have discovered that increases in corruption raised income equality (e.g. see Apergis et al, 2010;Dincer and Gunalp, 2008;Ferreira de Mendonça and Martins Esteves, 2014;Gupta et al, 1998;Huang, 2013;Li et al, 2000;Mehrara et al, 2011;Ullah and Ahmad, 2007). Meanwhile, relatively few studies have found that decreases in the corruption increased income inequality (e.g., see Dobson and Ramlogan-Dobson, 2010;Mehrara et al, 2011;Rodriguez Andres and Ramlogan-Dobson, 2008;Wong, 2017).…”
Section: Literature Reviewmentioning
confidence: 99%
“…The relevant empirical literature also verifies this expectation. On the one hand, most of the empirical studies have revealed that the unemployment raised the unemployment (e.g., see Apergis et al, 2010;Bulir, 2001;Ferreira de Mendonça and Martins Esteves, 2014;Monnin, 2014;Rice and Lozada, 1983;Thalassinos et al, 2012). On the other side, the existing literature on the nexus between inflation and income inequality has stayed inconclusive.…”
Section: Westerlund and Edgerton (2007) Lm Bootstrap Cointegration Testmentioning
The globalization process has led to considerable increases in the flow of goods, services and financial assets, and thus global production and wealth have risen substantially during the past 40 years. However, discussion has now centered around the rising income inequality and poverty in some parts of the world. In this regard, the Latin American region is one of the leading regions in terms of income inequality. This study investigates the interaction among misery index, corruption and income inequality in Latin American countries during the 2002-2014 period, employing the Westerlund and Edgerton (2007) LM bootstrap cointegration test and the Kónya (2006) bootstrap panel Granger causality test. The findings reveal that increases in both the misery index and corruption played a part in the increases in income inequality. Furthermore, the results of the causality test reveal unidirectional causality from the misery index to income inequality and bidirectional causality between corruption and income inequality.
“…In particular, the target population for social benefits is key to understanding the role of public spending on income inequality. Consider, for example, the case of Brazil, where social transfers contribute to increasing income inequality because these resources may not be reaching the poorest families (Ferreira de Mendonça and Martins Esteves 2014). As a result, non-contributory social assistance has gained prominence as a fundamental instrument to mitigate the ascending trend of market income inequality in many developing countries (Obi and Ndhleve 2011;Tekgüç 2018).…”
Over the past two decades, research on the impacts of a diverse range of public policies and income inequality has seen rapid growth. Despite the large number of publications to date, there remain important lacunae in our understanding of how policy interventions might help to reduce income inequality. This paper aims to fill this void by providing a systematic literature review of 270 publications that examine four key policy areas: (1) tax policy, (2) social benefits, (3) labour market interventions, and (4) education policy. We describe patterns of empirical findings and implications drawn from the reviewed publications. The strengths and weaknesses of the existing literature are also discussed, along with potential future research avenues.
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