General Design of the Integrated Public Use Microdata Series

Ruggles, Steven; Hacker, J. David; Sobek, Matthew

doi:10.1080/01615440.1995.9955311

Cited by 665 publications

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“…This paper measures differences in the quality of life across 289 metropolitan areas by logarithmic differences in real wages similarly to Winters (2010). 7 Logarithmic differences in nominal wages and housing prices (measured by rental payments) across metropolitan areas are computed using microdata from the 2007 American Community Survey (ACS) available from the IPUMS (Ruggles et al 2008). Housing prices from the ACS are combined with non-housing prices from the ACCRA Cost of Living Index to measure logarithmic differences in the cost of living across areas.…”

Section: Empirical Approach and Datamentioning

confidence: 99%

Human capital, higher education institutions, and quality of life

Winters

2011

Regional Science and Urban Economics

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This paper considers the effects of the local human capital level and the presence of higher education institutions on the quality of life in U.S. metropolitan areas. The local human capital level is measured by the share of adults with a college degree, and the relative importance of higher education institutions is measured by the share of the population enrolled in college. This paper finds that quality of life is positively affected by both the local human capital level and the relative importance of higher education institutions. Furthermore, these effects persist when these two measures are considered simultaneously, even though the two are highly correlated. That is the human capital stock and higher education institutions have a shared effect and also separate effects on quality of life.JEL Classification: R13, R23, J31

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Section: Empirical Approach and Datamentioning

confidence: 99%

Human capital, higher education institutions, and quality of life

Winters

2011

Regional Science and Urban Economics

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“…According to 2007 US Census estimates, only 50% of NYC whites ages 15-19 were enrolled in public school, compared to 74% of Hispanics and 75% of blacks. 24 In 2007, white NYC teens ages 15-19 were more likely to be enrolled in private schools (40%) than blacks (11%) and Hispanics (10%) and less likely to be out of school (10% of whites vs. 15% of blacks and 16% of Hispanics). 24 While the exclusion of private school, special education, and out-ofschool students from the YRBS survey limits its generalizability, we know of no single population-level dataset that includes data on behavioral risk for both inschool and out-of-school teens.…”

Section: Limitationsmentioning

confidence: 99%

Pregnancy Risk among Black, White, and Hispanic Teen Girls in New York City Public Schools

et al. 2010

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Disparities in teen pregnancy rates are explained by different rates of sexual activity and contraceptive use. Identifying other components of risk such as race/ ethnicity and neighborhood can inform strategies for teen pregnancy prevention. Data from the 2005 and 2007 New York City Youth Risk Behavior Surveys were used to model demographic differences in odds of recent sexual activity and birth control use among black, white, and Hispanic public high school girls. Overall pregnancy risk was calculated using pregnancy risk index (PRI) methodology, which estimates probability of pregnancy based on current sexual activity and birth control method at last intercourse. Factors of race/ethnicity, grade level, age, borough, and school neighborhood were assessed. Whites reported lower rates of current sexual activity (23.4%) than blacks (35.4%) or Hispanics (32.7%), and had lower predicted pregnancy risk (PRI= 5.4% vs. 9.0% and 10.5%, respectively). Among sexually active females, hormonal contraception use rates were low in all groups (11.6% among whites, 7.8% among blacks, and 7.5% among Hispanics). Compared to white teens, much of the difference in PRI was attributable to poorer contraceptive use (19% among blacks and 50% among Hispanics). Significant differences in contraceptive use were also observed by school neighborhood after adjusting for age group and race/ethnicity. Interventions to reduce teen pregnancy among diverse populations should include messages promoting delayed sexual activity, condom use and use of highly effective birth control methods. Access to long-acting contraceptive methods must be expanded for all sexually active high school students.

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“…The proportion of never-married Americans at age 50 or older was only 7.9% in 2010, the same low as in 1910 and 1960 (authors' calculation from Ruggles et al (2015)). About 46% of women aged 15-44 in 2002 were currently married, and 9% were cohabiting.…”

Section: Introductionmentioning

confidence: 69%

A Note on Cohabitation and Marriage

Jelnov

2018

The B.E. Journal of Theoretical Economics

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Abstract:Why do some couples marry, while others prefer cohabitation? The proposed model does not assume utility differences between these two states but assumes separation frictions in marriage and not in cohabitation. We show that high expectations from the relationship lead to marriage even though the utility is drawn from the same distribution as in cohabitation. Moreover, mutual agreement on marriage may take place when the expected utility in partnership is both a private and a common knowledge, although for different sets of expected utility values. Surprisingly, when the expected utility is relatively low, marriage may take place only in the common knowledge environment.

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General Design of the Integrated Public Use Microdata Series

Cited by 665 publications

References 0 publications

Human capital, higher education institutions, and quality of life

Human capital, higher education institutions, and quality of life

Pregnancy Risk among Black, White, and Hispanic Teen Girls in New York City Public Schools

A Note on Cohabitation and Marriage

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