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Rank-rank unconditional quantile intergenerational association by skin color. The figure provides a quantile regression assessment of the dispersion of children’s income around the central tendency at different levels of parents’ income by skin color. Based on the regression analysis, three groups were formed, with similar results: white (PERLA 1–3), light and medium brown (PERLA 4–5), and brown and dark brown (PERLA 6–11).

Rank-rank unconditional quantile intergenerational association by skin colo...

in Skin Color and Social Mobility: Evidence From Mexico > Demography
Published: 08 November 2018
Fig. 4 Rank-rank unconditional quantile intergenerational association by skin color. The figure provides a quantile regression assessment of the dispersion of children’s income around the central tendency at different levels of parents’ income by skin color. Based on the regression analysis More
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Rank-rank correlation measuring overall income mobility. AIAN = American Indian or Alaska Native. NHPI = Native Hawaiian or Other Pacific Islander. Source: Race and ethnicity file, Form 1040 data, 2000–2014.

Rank-rank correlation measuring overall income mobility. AIAN = American In...

in Race Matters: Income Shares, Income Inequality, and Income Mobility for All U.S. Races > Demography
Published: 03 April 2019
Fig. 7 Rank-rank correlation measuring overall income mobility. AIAN = American Indian or Alaska Native. NHPI = Native Hawaiian or Other Pacific Islander. Source: Race and ethnicity file, Form 1040 data, 2000–2014. More
Journal Article

Productivity, Rank, and Returns in Polygamy

Julia Anna Matz
Demography (2016) 53 (5): 1319–1350.
DOI: https://doi.org/10.1007/s13524-016-0506-6
Published: 29 September 2016
... maternal characteristics. In a simple framework, I propose that selection into rank among wives with respect to female productivity takes place: highly productive women are more strongly demanded in the marriage market than less productive women, giving them a higher chance of becoming first wives...
View articletitled, Productivity, <span class="search-highlight">Rank</span>, and Returns in Polygamy View PDF for article titled, Productivity, <span class="search-highlight">Rank</span>, and Returns in Polygamy
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Average bias in uncorrected and bias-corrected rank-order HR and RR in 380 metropolitan areas, by sampling rate

Average bias in uncorrected and bias-corrected rank-order H R and R ...

in Has Income Segregation Really Increased? Bias and Bias Correction in Sample-Based Segregation Estimates > Demography
Published: 16 October 2018
Fig. 3 Average bias in uncorrected and bias-corrected rank-order H R and R R in 380 metropolitan areas, by sampling rate More
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Bias in uncorrected and bias-corrected rank-order measures of income segregation at an 8 % sampling rate among black families in 380 metropolitan areas, by mean tract size

Bias in uncorrected and bias-corrected rank-order measures of income segreg...

in Has Income Segregation Really Increased? Bias and Bias Correction in Sample-Based Segregation Estimates > Demography
Published: 16 October 2018
Fig. 4 Bias in uncorrected and bias-corrected rank-order measures of income segregation at an 8 % sampling rate among black families in 380 metropolitan areas, by mean tract size More
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Mean uncorrected and bias-corrected estimates of income segregation (rank-order H) among families in the 116 largest metropolitan areas, 1970 to 2014. Estimates are from Table 1, which reports statistical significance of changes over time.

Mean uncorrected and bias-corrected estimates of income segregation (rank-o...

in Has Income Segregation Really Increased? Bias and Bias Correction in Sample-Based Segregation Estimates > Demography
Published: 16 October 2018
Fig. 5 Mean uncorrected and bias-corrected estimates of income segregation (rank-order H ) among families in the 116 largest metropolitan areas, 1970 to 2014. Estimates are from Table 1 , which reports statistical significance of changes over time. More
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Mean bias-corrected estimates of income segregation (rank-order H) among households, families, families with children, and households without children in the 116 largest metropolitan areas, 1970 to 2014. Estimates are from Table 1, which reports statistical significance of changes over time.

Mean bias-corrected estimates of income segregation (rank-order H ) among ...

in Has Income Segregation Really Increased? Bias and Bias Correction in Sample-Based Segregation Estimates > Demography
Published: 16 October 2018
Fig. 6 Mean bias-corrected estimates of income segregation (rank-order H ) among households, families, families with children, and households without children in the 116 largest metropolitan areas, 1970 to 2014. Estimates are from Table 1 , which reports statistical significance of changes More
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Kernel-smoothed income rank change across generations by parental income rank and childhood family structure: NLSY79 data

Kernel-smoothed income rank change across generations by parental income ra...

in Childhood Family Structure and Intergenerational Income Mobility in the United States > Demography
Published: 17 March 2017
Fig. 4 Kernel-smoothed income rank change across generations by parental income rank and childhood family structure: NLSY79 data More
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Effect of low-weight births on estimated mean income rank for children in a given income percentile

Effect of low-weight births on estimated mean income rank for children in a...

in Health Endowment at Birth and Variation in Intergenerational Economic Mobility: Evidence From U.S. County Birth Cohorts > Demography
Published: 01 February 2018
Fig. 2 Effect of low-weight births on estimated mean income rank for children in a given income percentile More
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County-level mean predicted income rank by low birth weight and poverty

County-level mean predicted income rank by low birth weight and poverty

in Health Endowment at Birth and Variation in Intergenerational Economic Mobility: Evidence From U.S. County Birth Cohorts > Demography
Published: 01 February 2018
Fig. 3 County-level mean predicted income rank by low birth weight and poverty More
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Rank correlation between asset index using all indicators and household expenditures per adjusted household size, with various scaling factors used for adjustment and adult equivalence values. Adult equivalence is parameter α and scaling factor is parameter θ in the following adjustment to household expenditures: (Household expenditures) / (α × Number of children + Number of adults)θ. When α = 1 and θ = 1, this is just per capita household expenditures; when α = 1 and θ = 0, this is total household expenditures

Rank correlation between asset index using all indicators and household exp...

in Assessing Asset Indices > Demography
Published: 02 December 2011
Fig. 8 Rank correlation between asset index using all indicators and household expenditures per adjusted household size, with various scaling factors used for adjustment and adult equivalence values. Adult equivalence is parameter α and scaling factor is parameter θ in the following adjustment More
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Fig. 2 Illustration of principles that underpin use of dominance to rank distributions

Illustration of principles that underpin use of dominance to rank distribut...

in Ranking Age-at-Death Distributions Using Dominance: Robust Evaluation of United States Mortality Trends, 2006–2021 > Demography
Published: 01 August 2024
Fig. 2 Illustration of principles that underpin use of dominance to rank distributions More
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Fig. 2 Measurement of industrial facility rank for each focal community. Orange triangles represent the locations of facilities.

Measurement of industrial facility rank for each focal community. Orange tr...

in Environmental Inequality and Residential Sorting in Germany: A Spatial Time-Series Analysis of the Demographic Consequences of Industrial Sites > Demography
Published: 01 December 2021
Fig. 2 Measurement of industrial facility rank for each focal community. Orange triangles represent the locations of facilities. More
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Fig. 2 Main regression result 1: Coefficients for mother's intrahousehold rank predicting early-life mortality. Each confidence interval (CI) and coefficient estimate corresponds to β^ in a separate regression estimate of yihv = β lowerihv + αhv + Xihv θ + δihv + ϵihv, where y is the specified early-life mortality indicator (scaled as deaths per 1,000), lower is an indicator of being a child of the lower-ranking mother, α represents household (h) fixed effects, and X are other controls as specified (although in each regression, these include child sex and century-month-code cohort of birth fixed effects). Standard errors are clustered by village (v). Full regression tables are shown in Table A3 in the online appendix.

Main regression result 1: Coefficients for mother's intrahousehold rank pre...

in Mothers' Social Status and Children's Health: Evidence From Joint Households in Rural India > Demography
Published: 01 October 2022
Fig. 2 Main regression result 1: Coefficients for mother's intrahousehold rank predicting early-life mortality. Each confidence interval (CI) and coefficient estimate corresponds to β ^ in a separate regression estimate of y i h v = β   l o w e r i h v + α More
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Fig. 3 Main regression result 2: Coefficients for mother's intrahousehold rank predicting height-for-age. Each confidence interval (CI) and coefficient estimate corresponds to β^ in a separate regression estimate of yihv = β lowerihv + αhv + Xihv θ + δihv + ϵihv, where h is the child's height-for-age z score, lower is an indicator for being a child of the lower-ranking mother, α represents household (h) fixed effects, X are other controls as specified, and δ are 119 age (in months) × sex fixed effects. Standard errors are clustered by village (v). Full regression tables are shown in Tables A1 and A2 in the online appendix.

Main regression result 2: Coefficients for mother's intrahousehold rank pre...

in Mothers' Social Status and Children's Health: Evidence From Joint Households in Rural India > Demography
Published: 01 October 2022
Fig. 3 Main regression result 2: Coefficients for mother's intrahousehold rank predicting height-for-age. Each confidence interval (CI) and coefficient estimate corresponds to β ^ in a separate regression estimate of y i h v = β   l o w e r i h v + α h v More
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Fig. 1 Distribution of expected earnings percentile rank across fields of study by immigrant background. Within-field variation in expected earnings reflects student sorting by immigrant background across detailed three-digit fields of study in each aggregate field.

Distribution of expected earnings percentile rank across fields of study by...

in Horizontal Advantage: Choice of Postsecondary Field of Study Among Children of Immigrants > Demography
Published: 01 August 2023
Fig. 1 Distribution of expected earnings percentile rank across fields of study by immigrant background. Within-field variation in expected earnings reflects student sorting by immigrant background across detailed three-digit fields of study in each aggregate field. More
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Fig. 2 The relationship between the educational rank in origin country and years of completed education among immigrant parents. Panel a shows a jittered scatterplot of immigrant parents' education as percentile rank position in the country of origin (vertical axis) and years of education (horizontal axis), averaged over both parents. Panel b shows the group averages of immigrant parents' educational selectivity relative to the origin country (vertical axis) and years of education relative to native-born parents in Norway (horizontal axis) by country of origin. The circles represent the relative size of each national-origin group.

The relationship between the educational rank in origin country and years o...

in Horizontal Advantage: Choice of Postsecondary Field of Study Among Children of Immigrants > Demography
Published: 01 August 2023
Fig. 2 The relationship between the educational rank in origin country and years of completed education among immigrant parents. Panel a shows a jittered scatterplot of immigrant parents' education as percentile rank position in the country of origin (vertical axis) and years of education More
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Fig. 3 Household income segregation trend estimates in S, Rank-RR (R), and Rank-HR (H) presented as a metric value (top) and as a percentage change relative to 1990 (bottom), with ACS five-year pooled estimates plotted at the middle year, for the 116 metro areas analyzed in Reardon et al. (2018)

Household income segregation trend estimates in S , Rank- R R ...

in It Is Surprisingly Difficult to Measure Income Segregation > Demography
Published: 01 October 2023
Fig. 3 Household income segregation trend estimates in S , Rank- R R ( R ), and Rank- H R ( H ) presented as a metric value (top) and as a percentage change relative to 1990 (bottom), with ACS five-year pooled estimates plotted at the middle year, for the 116 metro areas More
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Fig. 4 Household income segregation trend estimates in Rank-HR (top) and Rank-RR (bottom) with ACS five-year pooled estimates plotted at the middle year, by estimate type, for the 116 metro areas analyzed in Reardon et al. (2018), where RBOT estimates apply the Reardon et al. (2018) finite sampling bias correction

Household income segregation trend estimates in Rank- H R (top) a...

in It Is Surprisingly Difficult to Measure Income Segregation > Demography
Published: 01 October 2023
Fig. 4 Household income segregation trend estimates in Rank- H R (top) and Rank- R R (bottom) with ACS five-year pooled estimates plotted at the middle year, by estimate type, for the 116 metro areas analyzed in Reardon et al. (2018) , where RBOT estimates apply the Reardon More
Journal Article

Ranking Age-at-Death Distributions Using Dominance: Robust Evaluation of United States Mortality Trends, 2006–2021

Jawa Issa, Tom Van Ourti, Pieter van Baal, Owen O'Donnell
Demography (2024) 61 (4): 1143–1159.
DOI: https://doi.org/10.1215/00703370-11460856
Published: 01 August 2024
...Fig. 2 Illustration of principles that underpin use of dominance to rank distributions ...
FIGURES | View All (5)
View articletitled, <span class="search-highlight">Ranking</span> Age-at-Death Distributions Using Dominance: Robust Evaluation of United States Mortality Trends, 2006–2021 View PDF for article titled, <span class="search-highlight">Ranking</span> Age-at-Death Distributions Using Dominance: Robust Evaluation of United States Mortality Trends, 2006–2021
Includes: Supplementary data