Inequality and growth: evidence from panel cointegration

Herzer, Dierk; Vollmer, Sebastián

doi:10.1007/s10888-011-9171-6

Cited by 165 publications

(120 citation statements)

References 42 publications

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“…Many of the more recent income inequality studies use the EHII Gini coefficient (Meschi and Vivarelli, 2009;Gimet and Lagoarde-Segot, 2011;Herzer and Vollmer, 2012). The inherent limitation of this index is that it is estimated, and estimates may be biased (for several reasons).…”

Section: Datamentioning

confidence: 99%

The effect of foreign aid on income inequality: Evidence from panel cointegration

Herzer

Nunnenkamp

2012

Structural Change and Economic Dynamics

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Abstract: This paper examines the long-run effect of foreign aid on income inequality for 21 recipient countries using panel cointegration techniques to control for omitted variable and endogeneity bias. We find that aid exerts an inequality increasing effect on income distribution. Terms of use: Documents in EconStor may

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Section: Datamentioning

confidence: 99%

The effect of foreign aid on income inequality: Evidence from panel cointegration

Herzer

Nunnenkamp

2012

Structural Change and Economic Dynamics

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“…As exports may have an endogeneity problem with the dependent variable, the lead and lag differences of export growth are added to the equation, so their coefficients c k account for serial correlation and endogeneity (Herzer and Vollmer 2012).…”

Section: Hypothesis Data and Methodologymentioning

confidence: 99%

Does the commodities boom support the export led growth hypothesis? Evidence from Latin American countries

2016

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Commodity prices are characterized by boom and bust cycles. In this article, the impact of the commodity boom of the 2000s on Latin American and Caribbean economies is studied by analyzing four categories of commodity exports (agricultural raw materials, fuel, food, ore and minerals) as well as manufactured exports. Latin American and Caribbean economies had higher growth during the 2000s than in the period before the commodities boom. This study examines whether the higher growth was explained by the commodity boom, and if so, which of the different export commodities accounted for this higher growth. The findings should be relevant to understanding the effects on economic growth of a possible bust in commodity prices. The results show that ore and mineral exports, fuel exports and food exports generally had a negative effect on GDP per capita growth but ore and mineral exports had a positive effect on LAC countries during the boom. During the boom period, agricultural exports had negative effects, especially for LAC countries. Fuel exports had a positive effect on LAC and non-LAC countries during the boom. Manufacturing exports in general had a positive effect on economic growth, but in the boom period this effect almost disappeared for the LAC countries.

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“…While the topic fell somewhat out of fashion in the last quarter of the twentieth century (Atkinson, 1997), it has again moved into the centre of political and economic debates. One important reason for the recent revival in interest is new empirical evidence that suggests that high and growing inequality can have adverse effects on macroeconomic stability and can hurt economic growth (Herzer and Vollmer, 2012;Stiglitz, 2012;Goda and Lysandrou, 2014;Halter et al, 2014;Onaran and Galanis, 2014;Ostry et al, 2014;Stockhammer, 2015;Kumhof et al, 2015;OECD, 2015).…”

Section: Introductionmentioning

confidence: 99%

Global trends in relative and absolute income inequality

Goda

2016

ecos.econ

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This paper provides an overview of historic worldwide trends in relative and absolute income inequality. Depending on the concept used, inequality trends differ considerably. Inequality between countries increased strongly during 1820-2000 and started decreasing at the beginning of the twenty-first century, whether measured in relative or absolute terms. Within-country inequality, on the contrary, grew especially strongly during the last decades: Its growth rate accelerated after 1950 in absolute terms and after 1975 in relative terms.Absolute global inequality also increased substantially in the post-1950 period, whereas relative global inequality decreased slightly during this period. ResumenEste documento muestra una visión general de las tendencias históricas de la desigualdad mundial de ingreso en términos absolutos y relativos. Dependiendo del concepto usado, las tendencias de desigualdad difieren considerablemente.La desigualdad entre países aumentó fuertemente durante el periodo 1820-2000 y ha comenzado a disminuir a principios del siglo veintiuno, independiente si es medido en términos relativos o absolutos. La desigualdad dentro de los países, por el contrario, ha crecido especialmente fuerte en las últimas décadas: su tasa de crecimiento aceleró a partir de 1950 en términos absolutos y a partir de 1975 en términos relativos. En términos absolutos la desigualdad global también se incrementó sustancialmente en el periodo post-1950, mientras en términos relativos la desigualdad global ha disminuido ligeramente en el mismo periodo.

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Inequality and growth: evidence from panel cointegration

Cited by 165 publications

References 42 publications

The effect of foreign aid on income inequality: Evidence from panel cointegration

The effect of foreign aid on income inequality: Evidence from panel cointegration

Does the commodities boom support the export led growth hypothesis? Evidence from Latin American countries

Global trends in relative and absolute income inequality

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