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MicroData Instrument Inc 2000 u.s. census 5 % public use microdata sample
2000 U.S. Census 5 % Public Use Microdata Sample, supplied by MicroData Instrument Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/census+2000+microdata/1990+public+use+microdata+sample/pm29748767-48-2-9
Average 90 stars, based on 1 article reviews
2000 u.s. census 5 % public use microdata sample - by Bioz Stars, 2026-11
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Article Title: Estimating the success of re-identifications in incomplete datasets using generative models
Article Snippet: The USA corpus, extracted from the 1-Percent Public Use Microdata Sample (PUMS) files, is available at https://www.census.gov/main/www/pums.html .

Article Title: Decomposing the effect of crime on population changes.
Article Snippet: I calculate initial industry shares of total hours worked in 1980 at the MSA level for 16 different industries, using the 1980 census 5 % Public Use Microdata Sample (Ruggles et al. 2010), following the classifications made by Schaller (2015).

Article Title: Re-Thinking the Two-Body Problem: The Segregation of Women into Geographically-Dispersed Occupations
Article Snippet: I calculate this index for each occupation in the Decennial Census 5% Public-Use Microdata Sample (which has many observations) and match it to household occupations in the 2003–2010 March CPS (which has work relocation data).

Article Title: Cardiometabolic Mortality by Supplemental Nutrition Assistance Program Participation and Eligibility in the United States
Article Snippet: We confirmed that household and family income are nearly identical in 96% of adults aged 25 years or older by using the 3-year Public-Use Microdata Sample from the American Community Survey (2007–2009).16 A second related criterion, monthly household net income less than or equal to 100% of the poverty guideline,4 was not assessed in NHIS and could not be used.

Article Title: Average age at last live birth in ‘lucky few’ and ‘late baby boom’ birth cohorts in the United States
Article Snippet: The quantum, tempo, and characteristics of population fertility can change rapidly between birth cohorts.. Understanding secular trends in fertility behavior can help inform research concerned with family and health policy.. The current investigation is novel in that it uses ’intersectional markers of social stratification’ with a large sample of women to examine if the average age at last live birth shifted between two birth cohorts.

Article Title: Feminized Intergenerational Mobility Without Assimilation? Post-1965 U.S. Immigrants and the Gender Revolution.
Article Snippet: To accomplish this, we use a data set constructed from the 1980 decennial census 5 % Public Use Microdata Samples (PUMS) and the pooled data from the Current Population Survey (CPS) March Annual Social and Economic Supplement.

Article Title: Decomposing the effect of crime on population changes.
Article Snippet: Finally, using the 1980 census and the data from the 5 % Public Use Microdata Sample (PUMS), they estimated five-year differences between 1975 and 1980.



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<t>2000</t> Census 5fa estimates (births last year/women) for the municipality of Borá (circles), for all of Brazil (dark line), and for a set of 34 municipalities around Borá (grey line). Source: IBGE (2000) and authors’ calculations.
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<t>2000</t> Census 5fa estimates (births last year/women) for the municipality of Borá (circles), for all of Brazil (dark line), and for a set of 34 municipalities around Borá (grey line). Source: IBGE (2000) and authors’ calculations.
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2000 Census 5fa estimates (births last year/women) for the municipality of Borá (circles), for all of Brazil (dark line), and for a set of 34 municipalities around Borá (grey line). Source: IBGE (2000) and authors’ calculations.

Journal: Population studies

Article Title: Bayes plus Brass: Estimating Total Fertility for Many Small Areas from Sparse Census Data

doi: 10.1080/00324728.2013.795602

Figure Lengend Snippet: 2000 Census 5fa estimates (births last year/women) for the municipality of Borá (circles), for all of Brazil (dark line), and for a set of 34 municipalities around Borá (grey line). Source: IBGE (2000) and authors’ calculations.

Article Snippet: The 2000 Census microdata have person-level weights to account for the two different sampling fractions, and for non-response.

Techniques:

Census versus Empirical Bayes (EB) estimates for 5506 Brazilian municipalities in 2000. Each point corresponds to a municipality, with three example locations from the text highlighted. Total fertility in left-hand panel; parity at ages 45–49 in right-hand panel. Census and EB estimates are equal along the diagonal lines. Source: As in Figure 1.

Journal: Population studies

Article Title: Bayes plus Brass: Estimating Total Fertility for Many Small Areas from Sparse Census Data

doi: 10.1080/00324728.2013.795602

Figure Lengend Snippet: Census versus Empirical Bayes (EB) estimates for 5506 Brazilian municipalities in 2000. Each point corresponds to a municipality, with three example locations from the text highlighted. Total fertility in left-hand panel; parity at ages 45–49 in right-hand panel. Census and EB estimates are equal along the diagonal lines. Source: As in Figure 1.

Article Snippet: The 2000 Census microdata have person-level weights to account for the two different sampling fractions, and for non-response.

Techniques:

2000 Census data for five-year age groups i =1…7, Cajapió. Source : IBGE  (2000)  and authors’ calculations.

Journal: Population studies

Article Title: Bayes plus Brass: Estimating Total Fertility for Many Small Areas from Sparse Census Data

doi: 10.1080/00324728.2013.795602

Figure Lengend Snippet: 2000 Census data for five-year age groups i =1…7, Cajapió. Source : IBGE (2000) and authors’ calculations.

Article Snippet: The 2000 Census microdata have person-level weights to account for the two different sampling fractions, and for non-response.

Techniques:

Brass P/F regression adjustment for three example municipalities. Vertical positions of C, E, and the regression intercept at year 2000 represent TFRCens (Census estimate), TFREB (Empirical Bayes), and the modified Brass estimate for TFR, respectively. Points are labelled by the youngest age in a five-year age group. See text for details. Source: As in Figure 1.

Journal: Population studies

Article Title: Bayes plus Brass: Estimating Total Fertility for Many Small Areas from Sparse Census Data

doi: 10.1080/00324728.2013.795602

Figure Lengend Snippet: Brass P/F regression adjustment for three example municipalities. Vertical positions of C, E, and the regression intercept at year 2000 represent TFRCens (Census estimate), TFREB (Empirical Bayes), and the modified Brass estimate for TFR, respectively. Points are labelled by the youngest age in a five-year age group. See text for details. Source: As in Figure 1.

Article Snippet: The 2000 Census microdata have person-level weights to account for the two different sampling fractions, and for non-response.

Techniques: Modification

Census and Empirical Bayes plus Brass (EBB) estimates of municipal total fertility, 2000. State boundaries in black. MADN = mean absolute difference between neighbours, averaged over 16419 unique pairs of adjacent municipalities. Moran’s I measures correlation between values in adjacent municipalities (Cliff and Ord 1981, p. 17). Source: As in Figure 1.

Journal: Population studies

Article Title: Bayes plus Brass: Estimating Total Fertility for Many Small Areas from Sparse Census Data

doi: 10.1080/00324728.2013.795602

Figure Lengend Snippet: Census and Empirical Bayes plus Brass (EBB) estimates of municipal total fertility, 2000. State boundaries in black. MADN = mean absolute difference between neighbours, averaged over 16419 unique pairs of adjacent municipalities. Moran’s I measures correlation between values in adjacent municipalities (Cliff and Ord 1981, p. 17). Source: As in Figure 1.

Article Snippet: The 2000 Census microdata have person-level weights to account for the two different sampling fractions, and for non-response.

Techniques:

Census and EBB estimates of 2000 total fertility, by size of municipality. Left panels contain the 500 municipalities with the smallest census sample sizes; right panels contain the 500 largest samples; middle panels contain the remaining 4506 municipalities. Scatter plots in the top panels show pairs of alternative estimates, with one point per municipality. Densities in the lower panels illustrate differences between the marginal distributions of Census and EBB estimates within each size class. Note that horizontal scales in the top and bottom panels differ. Source: As in Figure 1.

Journal: Population studies

Article Title: Bayes plus Brass: Estimating Total Fertility for Many Small Areas from Sparse Census Data

doi: 10.1080/00324728.2013.795602

Figure Lengend Snippet: Census and EBB estimates of 2000 total fertility, by size of municipality. Left panels contain the 500 municipalities with the smallest census sample sizes; right panels contain the 500 largest samples; middle panels contain the remaining 4506 municipalities. Scatter plots in the top panels show pairs of alternative estimates, with one point per municipality. Densities in the lower panels illustrate differences between the marginal distributions of Census and EBB estimates within each size class. Note that horizontal scales in the top and bottom panels differ. Source: As in Figure 1.

Article Snippet: The 2000 Census microdata have person-level weights to account for the two different sampling fractions, and for non-response.

Techniques:

Distribution of municipal TFR estimates for alternative methods across 5506 Brazilian municipalities, 2000. Source : IBGE  (2000)  , authors’ calculations, UNDP (2003) .

Journal: Population studies

Article Title: Bayes plus Brass: Estimating Total Fertility for Many Small Areas from Sparse Census Data

doi: 10.1080/00324728.2013.795602

Figure Lengend Snippet: Distribution of municipal TFR estimates for alternative methods across 5506 Brazilian municipalities, 2000. Source : IBGE (2000) , authors’ calculations, UNDP (2003) .

Article Snippet: The 2000 Census microdata have person-level weights to account for the two different sampling fractions, and for non-response.

Techniques:

Alternative estimation methods for municipal fertility, aggregated to state level using population weights, Brazil 2000. Methods are direct estimates from Census (bars), Empirical Bayes spatial smoothing (dashed line with x), Empirical Bayes plus Brass regression correction (solid line), UN Development Programme (UNDP 2003 – dashed line). Population-weighted rates of TFR change, estimated from regressions and written as percentages, appear at the base of each state’s column. States are sorted in descending order of Census TFR estimates. State abbreviations at http://tinyurl.com/br-states. Source: As in Figure 1.

Journal: Population studies

Article Title: Bayes plus Brass: Estimating Total Fertility for Many Small Areas from Sparse Census Data

doi: 10.1080/00324728.2013.795602

Figure Lengend Snippet: Alternative estimation methods for municipal fertility, aggregated to state level using population weights, Brazil 2000. Methods are direct estimates from Census (bars), Empirical Bayes spatial smoothing (dashed line with x), Empirical Bayes plus Brass regression correction (solid line), UN Development Programme (UNDP 2003 – dashed line). Population-weighted rates of TFR change, estimated from regressions and written as percentages, appear at the base of each state’s column. States are sorted in descending order of Census TFR estimates. State abbreviations at http://tinyurl.com/br-states. Source: As in Figure 1.

Article Snippet: The 2000 Census microdata have person-level weights to account for the two different sampling fractions, and for non-response.

Techniques: