Inequality and Economic Growth: A Global View Based on Measures of Pay

Galbraith, James K.

doi:10.1093/cesifo/49.4.527

Cited by 49 publications

(39 citation statements)

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“…In order to improve the quality of work on inequalities, it is therefore necessary to be able to carry out modelling with weaker asumptions about the variables, especially to avoid serial dependencies in measurement errors. Galbraith and Kum (2003) found a solution to these difficulties by suggesting a new inequality estimator called EHII (Estimation of the Household Inequality and Inequity). The advantage of this indicator is that it covers a large number of countries over a longer period than Deininger and Squire's (1996) database 4 .…”

Section: Justification Of the Choice Of Variablesmentioning

confidence: 99%

An empirical test of the inequality trap concept

Daymon¹,

Gimet²

2009

Economics Letters

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The new concept of inequality trap, has recently appeared in the economic development literature. This phenomenon is due to the persistence of the poor initial conditions, in the presence of both market and institutional imperfections. The aim of this paper is to test the validity of this concept. The Generalized Method of Moments estimation is used to study the inequalities reproduction and the lagged impact of gender, political and economic liberties on inequality. The results proves the existence of such traps and underline the significant influence of the credit market, wealth and education access initial levels over a generation. Email: carolinedaymon@hotmail.com (corresponding author), celinegimet@free.frWe are grateful to Pr James K. Galbraith for providing us the UTIP-UNIDO database, and to Charles Laï Tong for his precious help.

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Section: Justification Of the Choice Of Variablesmentioning

confidence: 99%

An empirical test of the inequality trap concept

Daymon¹,

Gimet²

2009

Economics Letters

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“…Published papers and books include Conceição and Galbraith 1999, Conceição, Galbraith and Bradford 2001, Galbraith and Berner 2001, Galbraith and Kum 2003, Galbraith and Garcilazo 2004, Kim 2002, Galbraith, Krytynskaia and Wang 2004, Galbraith, RoyChowdhury and Shrivastava, 2004, Galbraith and Hale 2006, Galbraith, Pinto and Spagnolo 2007, Galbraith and Garza Cantu 1999, Galbraith and Ferguson 1999, Galbraith, Spagnolo and Munevar 2008, Galbraith 1998, 1999a, 1999b, 2007a, 2007b, 2007c. Second, sector and regional data yield richly detailed information concerning the precise pattern of winners and losers as inequality changes.…”

Section: Figure 1 Measures Of Inequality In the Oecd From Deininger mentioning

confidence: 99%

“…This section is adapted from Galbraith and Kum (2003). Overall this discussion relates mainly to the OECD.…”

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confidence: 99%

Inequality, unemployment and growth: New measures for old controversies

Galbraith

2008

J Econ Inequal

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Abstract:This essays surveys some of the work of the University of Texas Inequality Project, a small research group that for the past decade has worked primarily to develop new measures of economic inequality, using a method based on the between-groups component of Theil's T statistic. In this way, inequality statistics can be computed from many diverse and mundane sources of information, including regional tax collections, employment and earnings, census of manufacturing, and harmonized international industrial data sets. The rich data environment so constructed permits new analyses of patterns of economic change, by region, by sector, and by country, and broadly supports the idea that the movement of inequality is closely related to macroeconomic events at the national and the global level.

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“…The first and last observed years for each country are also denoted. Conceiçao and Galbraith (2001) and Galbraith and Kum (2003) have already remarked that some of the readings -such as lower inequality for Spain (ESP) than for Sweden (SWE), such as France (FRA) as the most unequal country in Europe but with a huge leveling of incomes over time, such as steadily falling inequality in Italy --would raise the eyebrows of any informed observer. To see this point closely, we review the source characteristics of the D&S data as shown in Table 2.…”

Section: The Comparability Problem In Deininger and Squirementioning

confidence: 99%

Estimating the Inequality of Household Incomes: A Statistical Approach to the Creation of a Dense and Consistent Global Data Set

2005

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Abstract:The deficiencies of the Deininger and Squire data set on household income inequality are well known for its sparse coverage, problematic measurements, and the combination of diverse data types into a single data set. Yet many studies have relied on this data due to the lack of available alternatives. In this paper we show how the UTIP-UNIDO measures of manufacturing pay inequality can be used, with other information, to estimate measures of household income inequality. We take advantage of the systematic relationship between the UTIP-UNIDO estimates and those of Deininger and Squire. The residuals from this exercise provide a map to problematic estimates in the Deininger and Squire data, and the estimated coefficients provide a way to construct a new panel data set of estimated household income inequality. This new data set provides comparable and consistent measurements across space and through time that Deininger and Squire's data do not pass.2

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Inequality and Economic Growth: A Global View Based on Measures of Pay

Cited by 49 publications

References 0 publications

An empirical test of the inequality trap concept

An empirical test of the inequality trap concept

Inequality, unemployment and growth: New measures for old controversies

Estimating the Inequality of Household Incomes: A Statistical Approach to the Creation of a Dense and Consistent Global Data Set

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