Testing the significance of income distribution changes over the 1980s business cycle: a cross-national comparison

Burkhauser, Richard V.; Cutts, Amy Crews; Daly, Mary C.; Jenkins, Stephen P.

doi:10.1002/(sici)1099-1255(199905/06)14:3<253::aid-jae519>3.0.co;2-r

Cited by 53 publications

(44 citation statements)

References 12 publications

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“…This is particularly appropriate given that, unlike the NSI, the measures jointly account for where low-and non-low-income households live and the extent to which each type is segregated into homogeneous enclaves. While high-income households are not of direct interest here, their role in the overall spatial segregation process is critical, particularly given that the upper end of the distribution has been growing more rapidly than the lower end (Burkhauser et al 1999). In sum, the dissimilarity and isolation indexes are chosen because they represent both appropriate and econometrically tractable measures of the problem at hand.…”

Section: Measuring Income Segregationmentioning

confidence: 99%

Does density exacerbate income segregation? Evidence from U.S. metropolitan areas, 1980 to 2000

Pendall

Carruthers²

2003

Housing Policy Debate

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A fundamental goal of many smart growth efforts is to promote greater socioeconomic equity through more compact development. In this article, we point out that the connection between the built environment and socioeconomic outcomes may be more complex than it is generally portrayed to be, particularly in light of recent trends in urban and regional development.Through an empirical analysis involving two measures of income segregation, dissimilarity and isolation, in a national data set of metropolitan areas from 1980 to 2000, we illustrate that the relationship between density and income segregation follows a quadratic function, first rising, then falling, as densities increase. Moreover, changes in density-whether increases or decreases-always increased segregation. These findings suggest that, if greater socioeconomic equity is a goal, smart growth programs need to pay as much attention to market forces and the underlying political landscape as they do to the built environment.

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Section: Measuring Income Segregationmentioning

confidence: 99%

Does density exacerbate income segregation? Evidence from U.S. metropolitan areas, 1980 to 2000

Pendall

Carruthers²

2003

Housing Policy Debate

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“…This problem is related to the difficulty to a priori choose grouping criteria that are not associated with steady state determinants as differences in the latter cause equilibria to differ as well (see e.g., Islam, 2003). Recently, an increasing amount of literature has emerged that is concerned with the identification of convergence clubs via endogenized grouping, i.e., by leaving factors unspecified that are responsible for the appearance of multiple steady states (see e.g., Quah, 1996a;Burkhauser et al, 1999;Bernard and Durlauf, 1995;Hobijn and Franses, 2000). 1 In this strand of literature there is a basic consensus that the distribution of income per capita across economies displays convergence clubs rather than a common growth path.…”

Section: Introductionmentioning

confidence: 99%

Regional convergence clubs in Europe: Identification and conditioning factors

2012

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A class of growth theories explains the formation of convergence clubs among economies by differences in certain initial conditions. So far, it has not been tested empirically whether these initial conditions are indeed responsible for the appearance of multiple steady state equilibria. In this paper we tackle this issue by considering data on 206 European regions' per capita income from 1990 to 2005. We employ a novel regression based convergence test developed by Phillips and Sul (2007) that enables the endogenous determination of convergence clubs. As this method requires cross-section observations to be independent, we first apply a spatial filtering technique in order to remove the spatial component from the data. Results strongly support the existence of convergence clubs, indicating that European regions form five separate groups converging to their own steady state paths. Moreover, estimates from an ordered probit model reveal that the level of initial conditions, such as human capital and per capita income, plays a crucial role in determining the formation of convergence clubs among European regions.

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“…14. See Burkhauser et al (1999), Barlevy and Tsiddon (2006), and Hoover et al (2009) for a detailed treatment. 15.…”

Section: Discussionmentioning

confidence: 99%

Effects of Labor Reallocation on Productivity and Inequality—insights From Studies on Transition

Tyrowicz

Velde

Švejnar

2016

Journal of Economic Surveys

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Testing the significance of income distribution changes over the 1980s business cycle: a cross-national comparison

Cited by 53 publications

References 12 publications

Does density exacerbate income segregation? Evidence from U.S. metropolitan areas, 1980 to 2000

Does density exacerbate income segregation? Evidence from U.S. metropolitan areas, 1980 to 2000

Regional convergence clubs in Europe: Identification and conditioning factors

Effects of Labor Reallocation on Productivity and Inequality—insights From Studies on Transition

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