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Journal ArticleDOI

Take the money and run: economic segregation in U.S. metropolitan areas.

01 Dec 1996-American Sociological Review (American Sociological Association)-Vol. 61, Iss: 6, pp 984-998
TL;DR: In this paper, the authors present a methodological critique of the measure of economic segregation used by Massey and Eggers (1990) and argue that their measure confounds changes in the income distribution with spatial changes.
Abstract: Compared to residential segregation by race, economic segregation has received relatively little attention in recent empirical literature. Yet a heated debate has arisen concerning Wilson's (1987) hypothesis that increasing economic segregation among African Americans plays a role in the formation of urban ghettos. The author presents a methodological critique of the measure of economic segregation used by Massey and Eggers (1990) and he argues that their measure confounds changes in the income distribution with spatial changes. He develops a pure measure of economic segregation based on the correlation ratio and present findings for all U.S. metropolitan areas from 1970 to 1990. Economic segregation increased steadily for Whites, Blacks, and Hispanics in the 1970s and 1980s, but the increases have been particularly large and widespread for Blacks and Hispanics in the 1980s. The author explores the causes of these changes in a reduced-form, fixed-effects model. Social distance and structural economic transformations affect economic segregation, but the large increases in economic segregation among minorities in the 1980s cannot be explained by the model. These rapid increases in economic segregation, especially in the context of recent, albeit small, declines in racial segregation, have important implications for urban policy, poverty policy, and the stability of urban communities

Summary (1 min read)

Introduction

  • Compared to racial segregation, economic segregation has received little attention in recent empirical literature.
  • According to the social distance hypothesis, racial or ethnic segregation is "positively associated with differences between groups" (642).
  • The assimilation hypothesis states that better-off strata within a minority group will translate individual gains into spatial assimilation.

MEASUREMENT OF ECONOMIC SEGREGATION

  • To measure economic segregation within racial groups, Erbe and most of the pre-1987 research used the index of residential dissimilarity applied to broad occupational groupings.
  • Farley's work applied the index of dissimilarity to groupings by years of education completed.
  • As the mean and variance change, the class categories "cut" the income distribution at different points.
  • Each neighborhood has a mean income, and the distribution of all households by the mean income of their neighborhood also has a mean and a standard deviation.
  • Thus, NSI is simply the square root of the correlation ratio applied to income.

PATTERNS OF ECONOMIC SEGREGATION: 1970–1990

  • Table 2 shows the weighted national means for the Neighborhood Sorting Index.
  • The results show a pronounced trend toward increasing economic segregation.
  • Metropolitan areas usually show incredible diversity, with widely varying levels of and changes over time on most sociodemographic indicators (Frey and Speare 1988).
  • The smallest metropolitan areas show very little change in the 1970s, but the pattern of changes in the 1980s is quite similar to the overall figures.
  • For all size classes, there are increases in the 1980s on the order of 3-4 percentage points for whites and much larger increases for blacks and Hispanics.

ECONOMIC SEGREGATION: AN EXPLORATORY CAUSAL MODEL

  • This section of the paper develops an exploratory causal model to explain the changes in economic segregation from 1970 to 1990.
  • To the extent that such features are common to individual metropolitan areas and invariant between 1970 and 1990, the fixed-effects structure of my model controls for them implicitly.
  • There was no significant difference between blacks and whites until the 1980s, when the economic segregation of blacks increased by 5.4 percentage points over and above the common increase.
  • And the coefficient on the dummy variable for the 1980s, formerly zero, increases to 3.7 percentage points and becomes statistically significant!.
  • Improvements in social status relative to the metropolitan mean lead to increases in economic segregation.

CONCLUSION

  • In the spatial and economic organization of metropolitan areas, households get sorted along a number of important dimensions.
  • I have made linear interpolations of households for all brackets below or containing the metropolitan mean income.
  • "Residential Segregation of Social and Economic Groups among Blacks, 1970 to 1980.".

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Institute for Research on Poverty
Discussion Paper no. 1056-95
Take the Money and Run:
Economic Segregation in U.S. Metropolitan Areas
Paul A. Jargowsky
School of Social Sciences
University of Texas at Dallas
January 1995
This research was supported by a grant to the Institute for Research on Poverty from the Office of the
Assistant Secretary for Planning and Evaluation, U.S. Department of Health and Human Services. I am
grateful for comments on earlier drafts of this paper from Kurt Beron, Maria Cancian, Chris Desai,
George Farkas, Janet Gamble, Robert Hauser, Don Hicks, Ron Mincy, Steven Sandell, Wim
Vijverberg, and the participants in the IRP/HHS Research Conference (5/13/94). However, the author
alone is responsible for the views expressed and any errors of fact or interpretation.

Abstract
Compared to racial segregation, economic segregation has received little attention in recent
empirical literature. Yet a heated debate has arisen concerning Wilson's hypothesis (1987) that
increasing economic segregation plays a role in the formation of urban ghettos. This paper presents a
methodological critique of the measure of economic segregation used by Massey and Eggers (1990)
and finds that it confounds changes in the income distribution with spatial changes. I develop a "pure"
measure of economic segregation and present findings on all U.S. metropolitan areas from 1970 to
1990. There have been steady increases in economic segregation for whites, blacks, and Hispanics in
both the 1970s and 1980s, but the increases have been particularly large and widespread for blacks and
Hispanics in the 1980s. The causes of these changes are explored in a reduced form, fixed-effects
model. Social distance theory and structural economic transformations do affect economic segregation,
but the large increases in economic segregation among minorities in the 1980s cannot be fully
explained within the model. These rapid increases in economic segregation, especially in the context of
recent, albeit small, declines in racial segregation, have important implications for urban policy,
poverty policy, and the stability of urban communities.

Take the Money and Run:
Economic Segregation in U.S. Metropolitan Areas
Racial segregation in the United States has been declining since 1970, but the decreases have
been so slow that segregation of African Americans is still very high (Farley and Frey 1994). At the
same time, economic inequality has been increasing since 1979, if not before (U.S. Bureau of the
Census 1992, 1993). Both phenomena have been extensively documented. A third dimension of
socioeconomic differentiation has received much less attention in recent years: economic segregation,
i.e., the spatial segregation of households by income or social class. The relative dearth of recent
studies in this area is surprising, in light of the importance ascribed to economic segregation by William
Julius Wilson in his classic work, The Truly Disadvantaged (1987).
In this paper I document the fact that economic segregation has been increasing, not only
among blacks, as Wilson alleges, but also within all major racial and ethnic groups, although the
increases were largest for blacks and Hispanics in the 1980s. Moreover, the phenomenon is incredibly
widespread, affecting virtually every metropolitan area in the United States. I also develop a causal
model which, though clearly incomplete, suggests that the rapid increases in economic segregation
among minorities represent a dramatic break from the pattern of previous decades. In other words, the
factors which explain the changes in economic segregation for all groups over the 1970 to 1980 period
consistently underpredict the changes for minorities in the 1980 to 1990 period. The breakdown of the
1970–1980 model represents a fundamental change in the processes that generate economic
segregation. Understanding the causes of these changes, I would argue, has become a prerequisite to
effective analysis of urban policies and programs.

2
ECONOMIC SEGREGATION AND ASSIMILATION
A rich literature exists on the interrelationship of racial and economic segregation. Much of
this literature can be traced to the classic paper by Park, who predicted that "successful individuals [of
minority groups] move out and eventually find their places" so that "changes of economic and social
status . . . tend to be registered in changes of location" (1926: 9). More generally, Park argued that
"social relations are . . . inevitably correlated with spatial relations; . . . physical distances . . . are, or
seem to be, the indexes of social distances" (18). Subsequent research has followed up on two related
but conceptually distinct hypotheses stemming from this work: the first is the "social distance"
hypothesis and the second is the "assimilation" hypothesis (Massey 1981: 642–643). According to the
social distance hypothesis, racial or ethnic segregation is "positively associated with differences
between groups" (642). The assimilation hypothesis states that better-off strata within a minority group
will translate individual gains into spatial assimilation.
If the assimilation hypothesis is correct, then the degree of racial segregation should differ
among social classes within a minority group. And it follows that higher-status members of the
minority group will become more segregated from lower-status members of their own group as they
become assimilated. Erbe (1975) addressed the issue of the socioeconomic segregation by income
within racial groups. Responding to Kantrowitz, who found that "the better off black is as separated
from the poorer black residentially as the better off white is from the poor white" (Kantrowitz 1973:
v), Erbe argued that Kantrowitz's use of the index of dissimilarity (D) to measure economic
1
segregation is inadequate because the index is insensitive to the relative proportions of lower-, middle-,
and upper-class individuals in each group. She argued that "intergroup contact" is "a function both of
residential segregation of populations and their relative size in the total population" (1975: 803).
Erbe favored the use of a measure of "asymmetric intergroup contact," more commonly known
as the exposure index (P ), which for two groups gives the average probability of contact of members of
*

3
one group with members of the other. Using Chicago census data, Erbe found that the indices of
dissimilarity by various measures of social class within racial groups differed little between whites and
blacks. In contrast, exposure measures showed that higher-status blacks were far more likely to come
into contact with lower-status members of their racial group than whites. Her conclusion:
Middle-class blacks are not randomly distributed throughout the ghetto and thus are
segregated from the black lower class in this sense. Nevertheless they live in much
closer propinquity with the lower class than do middle-class whites, simply because the
black lower class is proportionally larger than the white lower class. To the extent that
neighborhoods are the functional locus of many institutions, most especially schools,
this is of great consequence.... In particular, it may be one factor in accounting for the
low degree of occupational inheritance between high-status black fathers and their sons
and the high degree of intergenerational downward mobility among blacks compared to
whites (1975: 803).
How strange this quote sounds today, when the concern has been turned on its head: Wilson (1987)
argues that the out-migration of the black middle class has resulted in the social isolation of the inner-
city black poor, with attendant "concentration effects."
Erbe's results demonstrated that one must distinguish between measures of economic
segregation that are conditioned on income distribution and those that are not. Each type of measure
has a value, but they answer different questions. If the incomes of all black households were to rise by
a fixed amount, and nobody moved, the P* index measuring contact with persons in poverty would
change a great deal because there would be less black poverty to be exposed to. Assuming no changes
in the classifications of families by social class, the index of dissimilarity would not change, since no
one had moved. Thus, the exposure measure would accurately indicate that blacks were less likely to
2
come into residential contact with poor persons, while the index of dissimilarity would correctly
indicate that the degree of sorting by social class had not changed.
Farley (1977) also examined the interactions of racial and economic segregation. In part of his
analysis, Farley applied the index of dissimilarity to years of education completed. He broke education
into ten categories and calculated the 45 pair-wise indices of dissimilarity among them. He also

Citations
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TL;DR: Even after controlling for personal income, education, and occupation, it is found that living in a disadvantaged neighborhood is associated with an increased incidence of coronary heart disease.
Abstract: BACKGROUND: Where a person lives is not usually thought of as an independent predictor of his or her health, although physical and social features of places of residence may affect health and health-related behavior. METHODS: Using data from the Atherosclerosis Risk in Communities Study, we examined the relation between characteristics of neighborhoods and the incidence of coronary heart disease. Participants were 45 to 64 years of age at base line and were sampled from four study sites in the United States: Forsyth County, North Carolina; Jackson, Mississippi; the northwestern suburbs of Minneapolis; and Washington County, Maryland. As proxies for neighborhoods, we used block groups containing an average of 1000 people, as defined by the U.S. Census. We constructed a summary score for the socioeconomic environment of each neighborhood that included information about wealth and income, education, and occupation. RESULTS: During a median of 9.1 years of follow-up, 615 coronary events occurred in 13,009 participants. Residents of disadvantaged neighborhoods (those with lower summary scores) had a higher risk of disease than residents of advantaged neighborhoods, even after we controlled for personal income, education, and occupation. Hazard ratios for coronary events in the most disadvantaged group of neighborhoods as compared with the most advantaged group--adjusted for age, study site, and personal socioeconomic indicators--were 1.7 among whites (95 percent confidence interval, 1.3 to 2.3) and 1.4 among blacks (95 percent confidence interval, 0.9 to 2.0). Neighborhood and personal socioeconomic indicators contributed independently to the risk of disease. Hazard ratios for coronary heart disease among low-income persons living in the most disadvantaged neighborhoods, as compared with high-income persons in the most advantaged neighborhoods were 3.1 among whites (95 percent confidence interval, 2.1 to 4.8) and 2.5 among blacks (95 percent confidence interval, 1.4 to 4.5). These associations remained unchanged after adjustment for established risk factors for coronary heart disease. CONCLUSIONS: Even after controlling for personal income, education, and occupation, we found that living in a disadvantaged neighborhood is associated with an increased incidence of coronary heart disease.

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TL;DR: Duncan et al. as discussed by the authors examined whether and how the relationship between family socioeconomic characteristics and academic achievement has changed during the last fifty years and found that the achievement gap between children from high and low-income families is roughly 30 to 40 percent larger among children born in 2001 than among those born twenty-five years earlier.
Abstract: In this chapter I examine whether and how the relationship between family socioeconomic characteristics and academic achievement has changed during the last fifty years. In particular, I investigate the extent to which the rising income inequality of the last four decades has been paralleled by a similar increase in the income achievement gradient. As the income gap between highand low-income families has widened, has the achievement gap between children in highand low-income families also widened? The answer, in brief, is yes. The achievement gap between children from highand lowincome families is roughly 30 to 40 percent larger among children born in 2001 than among those born twenty-five years earlier. In fact, it appears that the income achievement gap has been growing for at least fifty years, though the data are less certain for cohorts of children born before 1970. In this chapter, I describe and discuss these trends in some detail. In addition to the key finding that the income achievement gap appears to have widened substantially, there are a number of other important findings. First, the income achievement gap (defined here as the income difference between a child from a family at the 90th percentile of the family income distribution and a child from a family at the 10th percentile) is now nearly twice as large as the black-white achievement gap. Fifty years ago, in contrast, the black-white gap was one and a half to two times as large as the income gap. Second, as Greg Duncan and Katherine Magnuson note in chapter 3 of this volume, the income achievement gap is large when children enter kindergarten and does not appear to grow (or narrow) appreciably as children progress through school. Third, although rising income inequality may play a role in the growing income achievement gap, it does not appear to be the dominant

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Cites background from "Take the money and run: economic se..."

  • ...Several recent studies have found that residential segregation by income increased from 1970 to 2000, partly as a result of rising income inequality and likely partly as a result of low-income housing policy (Jargowsky 1996; Reardon and Bischoff 2011; Watson 2009)....

    [...]

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Nancy Krieger1
TL;DR: This paper reviewed definitions and patterns of discrimination within the United States; evaluates analytic strategies and instruments researchers have developed to study health effects of different kinds of discrimination; and delineates diverse pathways by which discrimination can harm health, both outright and by distorting production of epidemiologic knowledge about determinants of population health.
Abstract: Investigating effects of discrimination upon health requires clear concepts, methods, and measures. At issue are both economic consequences of discrimination and accumulated insults arising from everyday and at times violent experiences of being treated as a second-class citizen, at each and every economic level. Guidelines for epidemiologic investigations and other public health research on ways people embody racism, sexism, and other forms of social inequality, however, are not well defined, as research in this area is in its infancy. Employing an ecosocial framework, this article accordingly reviews definitions and patterns of discrimination within the United States; evaluates analytic strategies and instruments researchers have developed to study health effects of different kinds of discrimination; and delineates diverse pathways by which discrimination can harm health, both outright and by distorting production of epidemiologic knowledge about determinants of population health. Three methods of studying health consequences of discrimination are examined (indirect; direct, at the individual level, in relation to personal experiences of discrimination; at the population level, such as via segregation), and recommendations are provided for developing research instruments to measure acute and cumulative exposure to different aspects of discrimination.

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  • ...Also likely to be informative, though not yet incorporated in epidemiologic studies, are measures of (a) economic segregation of neighborhoods (219, 220), (b) occupational segregation of jobs by gender and race/ethnicity (14, 25, 87, 221), (c) voter registration and voting rates of subordinate and dominant groups, and (d) sociodemographic composition of additional branches of government, such as the judiciary....

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Abstract: This paper examines the short-run impacts of a change in residential neighborhood on the well-being of low-income families, using evidence from a program in which eligibility for a housing voucher was determined by random lottery. We examine the experiences of households at the Boston site of Moving To Opportunity (MTO), a demonstration program in five cities. Families in high poverty public housing projects applied to MTO and were assigned by lottery to one of three groups: Experimental-offered mobility counseling and a Section 8 subsidy valid only in a Census tract with a poverty rate of less than 10 percent; Section 8 Comparison-offered a geographically unrestricted Section 8 subsidy; or Control-offered no new assistance, but continued to be eligible for public housing. Our quantitative analyses of program impacts uses data on 540 families from a baseline survey at program enrollment, a follow-up survey administered l to 3.5 years after random assignment, and state administrative data on earnings and welfare receipt. 48 percent of the Experimental group and 62 percent of the Section 8 Comparison group moved through the MTO program. One to three years after program entry, families in both treatment groups were more likely to be residing in neighborhoods with low poverty rates and high education levels than were families in the Control group. However, while members of the Experimental group were much more likely to be residing in suburban communities than were those in the Section 8 group, the lower program take-up rate among the Experimental group resulted in more families remaining in the most distressed communities. Households in both treatment groups experienced improvements in multiple measures of well-being relative to the Control group including increased safety, improved health among household heads, and fewer behavior problems among boys. Experimental group children were also less likely to be a victim of a personal crime, to be injured, or to experience an asthma attack. There are no significant impacts of either MTO treatment on the employment, earnings, or welfare receipt of household heads in the first three years after random assignment.

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References
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Journal ArticleDOI
TL;DR: Wilson's "The Truly Disadvantaged" as mentioned in this paper was one of the sixteen best books of 1987 and won the 1988 C. Wright Mills Award of the Society for the Study of Social Problems.
Abstract: ""The Truly Disadvantaged" should spur critical thinking in many quarters about the causes and possible remedies for inner city poverty. As policy makers grapple with the problems of an enlarged underclass they--as well as community leaders and all concerned Americans of all races--would be advised to examine Mr. Wilson's incisive analysis."--Robert Greenstein, "New York Times Book Review" "'Must reading' for civil-rights leaders, leaders of advocacy organizations for the poor, and for elected officials in our major urban centers."--Bernard C. Watson, "Journal of Negro Education" "Required reading for anyone, presidential candidate or private citizen, who really wants to address the growing plight of the black urban underclass."--David J. Garrow, "Washington Post Book World" Selected by the editors of the "New York Times Book Review" as one of the sixteen best books of 1987. Winner of the 1988 C. Wright Mills Award of the Society for the Study of Social Problems.

7,278 citations

Journal ArticleDOI
John F. Kain1
TL;DR: In this paper, the distribution of negro employment and the level of non-white employment in the United States are discussed. But the authors focus on the residential segregation and do not consider the effect of nonwhite residential segregation on nonwhite employment.
Abstract: I. Negro residential segregation, 176. — II. Segregation in Detroit and Chicago, 178. — III. The distribution of negro employment, 179. — IV. Negro employment by occupation and industry, 183. — V. The level of nonwhite employment, 189. — VI. Suburbanization and negro employment, 191. — VII. Postwar dispersal of employment and population in Chicago, 192. — VIII. Conclusions, 196.

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TL;DR: In this article, a general method for decomposing effects into their components by the systematic application of ordinary least squares regression is described, which involves successive computation of reduced-form equations, beginning with an equation containing only exogenous variables, and adding intervening variables in sequence from cause to effect.
Abstract: This paper is about the logic of interpreting recursive causal theories in sociology. We review the distinction between associations and effects and discuss the decomposition of effects into direct and indirect components. We then describe a general method for decomposing effects into their components by the systematic application of ordinary least squares regression. The method involves successive computation of reduced-form equations, beginning with an equation containing only exogenous variables, then computing equations which add intervening variables in sequence from cause to effect. This generates all the information required to decompose effects into their various direct and indirect parts. This method is a substitute for the often more cumbersome computation of indirect effects from the structural coefficients (direct effects) of the causal model Finally, we present a way of summarizing this information in tabular form and illustrate the procedures using an empirical example.

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Book
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TL;DR: In this paper, the authors present a comprehensive profile of the demographic and socioeconomic characteristics of the Hispanic origin populations emphasizing the vast diversity among them through comparisons of Mexicans Puerto Ricans and Cubans; Central/South Americans; and where appropriate blacks and non-Hispanic whites.
Abstract: This Census Bureau study examines the social demographic and ethnic diversity among the Hispanic groups in the US. Chapter 1 considers the meaning of Hispanic ethnicity with brief historical vignettes on the incorporation of each of the 3 major groups into US society. Chapter 2 is devoted to defining the population and to providing a critical discussion of the data used to portray changes in the characteristics of Hispanic origin peoples. While this discussion is based largely on data from the 1980 census attention is also given to 1960 and 1970 census data to identify the strengths and limitations of the items used to enumerate the Spanish origin population over time. It also considers how changes in enumeration practices and in definitions of specific items limit the accuracy of measurement and especially the representation of temporal change. The remainder of the book is dedicated to compiling a comprehensive profile of the demographic and socioeconomic characteristics of the Hispanic origin populations emphasizing the vast diversity among them through comparisons of Mexicans Puerto Ricans and Cubans; Central/South Americans; and where appropriate blacks and non-Hispanic whites. The book is organized by subject matter rather than by nationality. The analyses begin with a demographic profile in chapter 3 which considers the size of the population as well as its changing age and sex composition rates of growth and residential distribution. Since the rapid growth of the population has resulted from both high fertility and high rates of immigration during the 1960s and 1970s separate chapters are devoted to each of these topics. Another chapter considers the marriage patterns and living arrangements of Hispanic origin groups. 3 additional chapters examine the educational labor market and economic well-being of the population. Other topics of special importance to Hispanic origin groups such as linguistic practices are not covered in extensive detail as separate chapters but rather are discussed in conjunction with the topics considered above. A final brief chapter reiterates in synopsis form the major conclusions of the study.

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Frequently Asked Questions (6)
Q1. What is the effect of the negative coefficient of the black*eighties?

Since jobs and annual income probably can change faster than the housing market, the negative coefficient may reflect a disequilibrium condition. 

Increasing skill demands, reflected in the percentage of jobs in professional and managerialoccupations, could accentuate social class differences within racial groups, decrease group cohesion, and lead to increases in economic segregation within the black and white communities (Wilson 1980). 

The economic restructuring that is having such aprofound impact on other aspects of urban spatial structure may also affect economic segregation within racial groups. 

One would have thought that more managerial and professional jobs would serve to emphasize class distinctions and encourage segregation along social class lines. 

Census tract data, the basis of almost all segregation studies, report counts of households by income brackets rather than the values for individual households. 

For whites, NSI increased in 253 out of 318 metropolitan areas (79.6 percent); for Hispanics, NSI increased in 39 out of 49 cities (79.6 percent).