Differences in Metropolitan and Nonmetropolitan U.S. Family Income Inequality: A Cross-County Comparison

Levernier, William; Partridge, Mark D.; Rickman, Dan S.

doi:10.1006/juec.1997.2070

Cited by 42 publications

(32 citation statements)

References 23 publications

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“…Unlike the measures of structural change generally used in the literature, this measure does not aggregate potentially diverse industries, as is the case with measures such as the employment shares in one-digit industries; used by Karoly and Klerman (1994) and Cloutier (1997), or the index of employment shifts in onedigit industries, used by Levernier, Partridge, and Rickman (1998). In addition, employment changes in the steel industry represented large, permanent shocks to the local labor markets.…”

Section: Background and Previous Literaturementioning

confidence: 98%

Industrial Change and Wage Inequality: Evidence from the Steel Industry

Beeson¹,

Shore‐Sheppard²,

Shaw³

2001

ILR Review

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The empirical analysis in this paper, which draws on Current Population Survey data, indicates that structural decline in the steel industry during the 1980s markedly affected the distribution of wages both in the industry and in steel-producing communities. The steelworker wage distribution experienced both a drop in the mean and an increase in the variance, becoming very similar to the distribution of wages in other durable goods manufacturing industries. Declines in steel employment substantially increased wage inequality in steel-producing communities, even among workers not employed in steel.Over the past several years, researchers have thoroughly documented fundamental changes in the overall wage structure that occurred in the United States in the 1980s, noting particularly an increasing degree of wage inequality and an increase in the return to a college education. Changes in the wage structures of specific industries and their effects on broader wage distributions have received less attention. In this paper we examine how shocks in one industry, steel, affected the wage structure within that industry and the distribution of wages in areas where the industry was concentrated.We use data from the Current Population Survey (CPS) outgoing rotation groups for 1979-99 to examine how the structural changes in the steel industry affected the distribution of wages. We first discuss changes in the wage distribution for steelworkers, focusing on wage levels and variances, and changes in the return to observable characteristics. We then explore how the decline in steel employment affected the distribution of wages in local labor markets.

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Section: Background and Previous Literaturementioning

confidence: 98%

Industrial Change and Wage Inequality: Evidence from the Steel Industry

Beeson¹,

Shore‐Sheppard²,

Shaw³

2001

ILR Review

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“…Past research suggests income inequality is greatest within central cities, followed by nonmetropolitan places and lowest in the suburbs (Levernier, Partridge, & Rickman, 1998). Rising income inequality within rural places results largely from the economic restructuring these places have undergone over the past four decades.…”

Section: Implications Of Changes In Family Structure and Women's Emplmentioning

confidence: 99%

International Handbook of Rural Demography

Kulcsár¹,

Curtis²

2012

International Handbooks of Population

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The International Handbooks of Population offer up-to-date scholarly summaries and sources of information on the major subject areas and issues of demography and population. Each handbook examines its particular subject area in depth, providing timely, accessible coverage of its full scale and scope, discusses substantive contributions for deeper understanding, and provides reliable guidance on the direction of future developments.Volumes will explore topics of vital interest: Population Aging, Poverty, Mortality, Family Demography, Migration, Race and Ethnic Demography and more. Each volume will provide a state-of-the-art treatment of its respective area. The series will quickly prove useful to a broad audience including demographers, practitioners and scholars across a range of disciplines.

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“…The main causes of this are diseases related to stress, poverty, and urban lifestyle (such as cardiovascular ailments, malnutrition, and HIV/AIDS), as well as higher crime rates and homicides. In addition, high incidences of poverty in urban areas along with inequality of income (Levernier, Partridge, and Rickman 1998;Mills 1999) constrain an individual's ability to obtain decent health services (Steckel 1995). This is further complicated by other factors that affect the provision of decent health services.…”

Section: Literature Reviewmentioning

confidence: 99%

Measuring Urban Well‐Being: Race and Gender Matter

Mapalad-Ruane¹,

Rodriguez²

2003

American J Econ Sociol

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Studies attempting to measure social well-being that focus attention at national levels fail to provide insights into the actual conditions that are present at subnational levels. With increased attention being focused on the conditions of urban areas, the need for subnational evaluation is becoming more apparent. The growing diversity of the population and the increase in female-headed households leave researchers without resources for evaluating the conditions of these groups in smaller regional settings, in part due to the scarcity of well-being measurements at these levels. This study hopes to fill in the gap for measuring well-being at subnational levels by estimating indexes at the county level. Exactly how the level of urbanization and social well-being are related is the subject of our inquiry. Our estimations will focus on urban counties, with particular emphasis on the 50 largest counties. We aim to evaluate the well-being of the general population in metropolitan areas, comparing it to those for female heads of households and people of color.

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Differences in Metropolitan and Nonmetropolitan U.S. Family Income Inequality: A Cross-County Comparison

Cited by 42 publications

References 23 publications

Industrial Change and Wage Inequality: Evidence from the Steel Industry

Industrial Change and Wage Inequality: Evidence from the Steel Industry

International Handbook of Rural Demography

Measuring Urban Well‐Being: Race and Gender Matter

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