Generalized entropy measures of mobility for different sexes and income levels

Maasoumi, Esfandiar; Zandvakili, Sourushe

doi:10.1016/0304-4076(90)90111-6

Cited by 33 publications

(12 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We agree with the conclusions of Durlauf and Quah (1999) that future work needs to address more successfully the need for modeling of cross-country interactions and remain consistent with the rich distributional dynamics observed here, and studied in the mobility literature as, for example, in Maasoumi and Zandvakili (1990). There is also a need to extend the scope of this field by considering other attributes of well-being than per capita incomes, and connecting to the literature which deals with its related issues; see, for example, Hirschberg et al (2001), and Maasoumi and Jeong (1985).…”

Section: Discussionsupporting

confidence: 90%

“…Within group mobility in the non-OECDs is made evident by these graphs. It is possible to derive ''mobility profiles'' in the manner of Maasoumi and Zandvakili (1990), but we leave this to future work. (4) When combined, the previous two observations agree and further explain the often observed and expanding multimodality in the world distribution of growth rates; for example see Durlauf and Johnson (1995) who arrive at compatible inferences based on multiple regressions and regression trees.…”

Section: Distribution Dynamics: Actual Growth Ratesmentioning

confidence: 99%

See 1 more Smart Citation

Growth and convergence: A profile of distribution dynamics and mobility

Maasoumi

Racine

Stengos

2007

Journal of Econometrics

Self Cite

132

View full text Add to dashboard Cite

In this paper we focus primarily on the dynamic evolution of the world distribution of growth rates in per capita GDP. We propose new concepts and measures of ''convergence,'' or ''divergence'' that are based on entropy distances and dominance relations between groups of countries over time.We update the sample period to include the most recent decade of data available, and we offer traditional parametric and new nonparametric estimates of the most widely used growth regressions for two important subgroups of countries, OECD and non-OECD. Traditional parametric models are rejected by the data, however, using robust nonparametric methods we find strong evidence in favor of ''polarization'' and ''within group'' mobility. r

show abstract

Section: Discussionsupporting

confidence: 90%

Section: Distribution Dynamics: Actual Growth Ratesmentioning

confidence: 99%

Growth and convergence: A profile of distribution dynamics and mobility

Maasoumi

Racine

Stengos

2007

Journal of Econometrics

Self Cite

132

View full text Add to dashboard Cite

show abstract

“…The alternative to averaging is to follow the line of work of Atkinson and Bourguignon (1982), Maasoumi (1986), Tsui (1995, and Gottschalk and Spolaore (2002) and build in a measure of long-term economic well-being l that incorporates imperfect substitutability. Maasoumi and Zandvakili (1990) calculate empirical mobility estimates using both simple averaging and imperfect substitutability. Lillard (1977) and Atkinson, Bourguignon, and Morrisson (1992) note the important role that capital markets play in justifying or failing to justify the use of averages.…”

Section: Particularizing the Equalization Functionmentioning

confidence: 99%

Does income mobility equalize longer-term incomes? New measures of an old concept

Fields

2009

J Econ Inequal

110

View full text Add to dashboard Cite

This paper develops a new class of measures of mobility as an equalizer of longer-term incomes -a concept different from other notions such as mobility as time-independence, positional movement, share movement, income flux, and directional income movement. A number of properties are specified leading to a class of indices, one easily-implementable member of which is applied to data for the United States and France. Using this index, income mobility is found to have equalized longer-term earnings among U.S. men in the 1970s but not in the 1980s or 1990s. In France, though, income mobility was equalizing throughout, and it has attained its maximum in the most recent period.

show abstract

“… 3 Recent empirical work based on these mobility indices include Maasoumi and Trede (2001), Aaberge et al (2000), Buchinsky and Hunt (1999), Burkhauser et al (1997), Burkhauser and Poupore (1997), Gustafsson (1994), and Maasoumi and Zandvakili (1986, 1989, 1990). …”

mentioning

confidence: 99%

Local versus Global Assessment of Mobility*

Schluter

Trede

2003

Int Economic Review

View full text Add to dashboard Cite

Mobility indices are popular tools designed to quantify the extent of income changes by aggregating “local” distributional change into a “global” scalar according to some rule. For some mobility measures, this aggregation rule is only implicit in their standard definition. We derive an insightful approximation to the (statistical) aggregation rule for the important class of mobility indices introduced by Shorrocks (Journal of Economic Theory 19 (1978), 376–93) and further generalized by Maasoumi and Zandvakili (Economic Letters 22 (1986), 97–102), which enables us to characterize their normative properties. We also develop methods for estimation and inference. A substantive empirical contribution emerges from the comparison of mobility between the United States and Germany. Our methods reveal why income mobility is higher in Germany than in the United States: Higher German mobility in the bottom of the distribution is combined with an implicitly higher weighting by the mobility index at the bottom.

show abstract

Generalized entropy measures of mobility for different sexes and income levels

Cited by 33 publications

References 14 publications

Growth and convergence: A profile of distribution dynamics and mobility

Growth and convergence: A profile of distribution dynamics and mobility

Does income mobility equalize longer-term incomes? New measures of an old concept

Local versus Global Assessment of Mobility*

Contact Info

Product

Resources

About