11 datasets found
  1. d

    Replication Data for: Immigration Attitudes and Support for the Welfare...

    • dataone.org
    • dataverse.harvard.edu
    Updated Nov 21, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Garand, James (2023). Replication Data for: Immigration Attitudes and Support for the Welfare State in the American Mass Public [Dataset]. http://doi.org/10.7910/DVN/WTURMZ
    Explore at:
    Dataset updated
    Nov 21, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Garand, James
    Description

    In this paper we explore the relationship between Americans’ attitudes toward immigrants and immigration and their attitudes toward welfare. Using data from the Cumulative American National Election Study (CANES) from 1992-2012, we find ample evidence of the influence of immigration attitudes on both individuals’ attitudes toward welfare recipients and their attitudes toward increased welfare spending. These immigration effects persist even in face of statistical controls for attitudes toward African Americans and attitudes toward the poor; indeed, in our models the magnitude of the effects of immigration attitudes surpasses the magnitude of effects of attitudes toward blacks. Further, our findings of immigration effects withstand a range of robustness tests. Our results point to the possible "immigrationalization" of Americans’ welfare attitudes and provide strong evidence that how Americans think about immigration and immigrants is a major factor in how they think about welfare.

  2. a

    POVERTY, INCOME, & UNEMPLOYMENT, NM-Copy for OAAA

    • chi-phi-nmcdc.opendata.arcgis.com
    Updated Aug 13, 2020
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    New Mexico Community Data Collaborative (2020). POVERTY, INCOME, & UNEMPLOYMENT, NM-Copy for OAAA [Dataset]. https://chi-phi-nmcdc.opendata.arcgis.com/datasets/poverty-income-unemployment-nm-copy-for-oaaa
    Explore at:
    Dataset updated
    Aug 13, 2020
    Dataset authored and provided by
    New Mexico Community Data Collaborative
    Area covered
    Description

    This map displays data from the Selected Economic Indicators (DP03) dataset from the 2010 American Community Survey 5-Yr Estimates, U.S. Census Bureau. Data is shown at the level of Census Tract, County, and Small Area (aggregation of Census Tracts developed by the New Mexico Department of Health). Measuring poverty is a topic of much current discussion. See the following links: A Different Way to Measure Poverty - http://www.sanders.senate.gov/imo/media/image/census.jpg"Few topics in American society have more myths and stereotypes surrounding them than poverty, misconceptions that distort both our politics and our domestic policy making."They include the notion that poverty affects a relatively small number of Americans, that the poor are impoverished for years at a time, that most of those in poverty live in inner cities, that too much welfare assistance is provided and that poverty is ultimately a result of not working hard enough. Although pervasive, each assumption is flat-out wrong." -Mark Rank, Professor of Social Welfare at Washington University: http://opinionator.blogs.nytimes.com/2013/11/02/poverty-in-america-is-mainstream/

  3. H

    Replication Data for: Measuring Support for Welfare Policies: Implications...

    • dataverse.harvard.edu
    • search.dataone.org
    Updated Sep 12, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Kirill Zhirkov; Kristin Lunz Trujillo; Daniel el Myers (2023). Replication Data for: Measuring Support for Welfare Policies: Implications for the Effects of Race and Deservingness Stereotypes [Dataset]. http://doi.org/10.7910/DVN/6SHF3S
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 12, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Kirill Zhirkov; Kristin Lunz Trujillo; Daniel el Myers
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    What are the relative contributions of stereotypes about the race and deservingness of welfare recipients to Americans’ opinions on welfare? A recent study employing a conjoint-experimental method finds that Americans’ stereotypes of welfare recipients as undeserving drive negative attitudes towards welfare, while stereotypes of welfare recipients as Black have little effect. However, this finding may be produced by the measure of welfare attitudes that includes questions implicating deservingness. We implement a conceptual replication of that study using different measures of welfare policy opinions that directly ask respondents about spending, both on welfare generally and on specific welfare programs. We show that when support for welfare is measured using the spending questions, stereotypes about race are significantly associated with opposition to welfare. These results have important implications for the debate on Americans’ opposition to welfare programs, as well as for the measurement of policy opinions in surveys.

  4. w

    Pittsburgh American Community Survey Census Data 2014 - Sex by Occupation

    • data.wu.ac.at
    • data.wprdc.org
    • +3more
    csv, txt
    Updated Dec 5, 2017
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Allegheny County / City of Pittsburgh / Western PA Regional Data Center (2017). Pittsburgh American Community Survey Census Data 2014 - Sex by Occupation [Dataset]. https://data.wu.ac.at/schema/data_gov/YzVkNTZhMWUtMjRkMC00ZGRlLWI2MWYtNTM2NDE3YWQ5MDEz
    Explore at:
    csv, txtAvailable download formats
    Dataset updated
    Dec 5, 2017
    Dataset provided by
    Allegheny County / City of Pittsburgh / Western PA Regional Data Center
    Description

    Occupation describes the kind of work a person does on the job. Occupation data were derived from answers to questions 45 and 46 in the 2015 American Community Survey (ACS). Question 45 asks: “What kind of work was this person doing?” Question 46 asks: “What were this person’s most important activities or duties?”

    These questions were asked of all people 15 years old and over who had worked in the past 5 years. For employed people, the data refer to the person’s job during the previous week. For those who worked two or more jobs, the data refer to the job where the person worked the greatest number of hours. For unemployed people and people who are not currently employed but report having a job within the last five years, the data refer to their last job.

    These questions describe the work activity and occupational experience of the American labor force. Data are used to formulate policy and programs for employment, career development, and training; to provide information on the occupational skills of the labor force in a given area to analyze career trends; and to measure compliance with antidiscrimination policies. Companies use these data to decide where to locate new plants, stores, or offices.

  5. a

    AA and Chronic Disease Death Rates

    • chi-phi-nmcdc.opendata.arcgis.com
    Updated Jul 21, 2017
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    New Mexico Community Data Collaborative (2017). AA and Chronic Disease Death Rates [Dataset]. https://chi-phi-nmcdc.opendata.arcgis.com/datasets/aa-and-chronic-disease-death-rates
    Explore at:
    Dataset updated
    Jul 21, 2017
    Dataset authored and provided by
    New Mexico Community Data Collaborative
    Area covered
    Description

    This map displays data from the Selected Economic Indicators (DP03) dataset from the 2010 American Community Survey 5-Yr Estimates, U.S. Census Bureau. Data is shown at the level of Census Tract, County, and Small Area (aggregation of Census Tracts developed by the New Mexico Department of Health). Measuring poverty is a topic of much current discussion. See the following links: A Different Way to Measure Poverty - http://www.sanders.senate.gov/imo/media/image/census.jpg"Few topics in American society have more myths and stereotypes surrounding them than poverty, misconceptions that distort both our politics and our domestic policy making."They include the notion that poverty affects a relatively small number of Americans, that the poor are impoverished for years at a time, that most of those in poverty live in inner cities, that too much welfare assistance is provided and that poverty is ultimately a result of not working hard enough. Although pervasive, each assumption is flat-out wrong." -Mark Rank, Professor of Social Welfare at Washington University: http://opinionator.blogs.nytimes.com/2013/11/02/poverty-in-america-is-mainstream/

  6. a

    Race and Income

    • chi-phi-nmcdc.opendata.arcgis.com
    Updated Jul 21, 2017
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    New Mexico Community Data Collaborative (2017). Race and Income [Dataset]. https://chi-phi-nmcdc.opendata.arcgis.com/maps/df83e5686e654b9b93d99577f1154de8
    Explore at:
    Dataset updated
    Jul 21, 2017
    Dataset authored and provided by
    New Mexico Community Data Collaborative
    Area covered
    Description

    This map displays data from the Selected Economic Indicators (DP03) dataset from the 2010 American Community Survey 5-Yr Estimates, U.S. Census Bureau. Data is shown at the level of Census Tract, County, and Small Area (aggregation of Census Tracts developed by the New Mexico Department of Health). Measuring poverty is a topic of much current discussion. See the following links: A Different Way to Measure Poverty - http://www.sanders.senate.gov/imo/media/image/census.jpg"Few topics in American society have more myths and stereotypes surrounding them than poverty, misconceptions that distort both our politics and our domestic policy making."They include the notion that poverty affects a relatively small number of Americans, that the poor are impoverished for years at a time, that most of those in poverty live in inner cities, that too much welfare assistance is provided and that poverty is ultimately a result of not working hard enough. Although pervasive, each assumption is flat-out wrong." -Mark Rank, Professor of Social Welfare at Washington University: http://opinionator.blogs.nytimes.com/2013/11/02/poverty-in-america-is-mainstream/

  7. a

    Poverty, Income, and Unemployment, (Updated in 2022) New Mexico

    • chi-phi-nmcdc.opendata.arcgis.com
    Updated Mar 27, 2012
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    New Mexico Community Data Collaborative (2012). Poverty, Income, and Unemployment, (Updated in 2022) New Mexico [Dataset]. https://chi-phi-nmcdc.opendata.arcgis.com/datasets/poverty-income-and-unemployment-updated-in-2022-new-mexico
    Explore at:
    Dataset updated
    Mar 27, 2012
    Dataset authored and provided by
    New Mexico Community Data Collaborative
    Area covered
    Description

    This map was updated in April of 2022. To see the archived version of this map, click here: https://nmcdc.maps.arcgis.com/home/item.html?id=2e4c4c4cafcc49db80837f32912e66a5#overviewThis map displays data from the Selected Economic Indicators (DP03) dataset from the 2020 American Community Survey 5-Yr Estimates, U.S. Census Bureau. Data is shown at the level of Census Tract and County levels. Small Areas are not on this map at this time (aggregation of Census Tracts developed by the New Mexico Department of Health). Measuring poverty is a topic of much current discussion. See the following links: A Different Way to Measure Poverty - https://www.sanders.senate.gov/imo/media/image/census.jpg"Few topics in American society have more myths and stereotypes surrounding them than poverty, misconceptions that distort both our politics and our domestic policy making."They include the notion that poverty affects a relatively small number of Americans, that the poor are impoverished for years at a time, that most of those in poverty live in inner cities, that too much welfare assistance is provided and that poverty is ultimately a result of not working hard enough. Although pervasive, each assumption is flat-out wrong." -Mark Rank, Professor of Social Welfare at Washington University: https://opinionator.blogs.nytimes.com/2013/11/02/poverty-in-america-is-mainstream/

  8. a

    POVERTY, INCOME, & UNEMPLOYMENT, NM - ARCHIVED VERSION

    • chi-phi-nmcdc.opendata.arcgis.com
    Updated Apr 26, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    New Mexico Community Data Collaborative (2022). POVERTY, INCOME, & UNEMPLOYMENT, NM - ARCHIVED VERSION [Dataset]. https://chi-phi-nmcdc.opendata.arcgis.com/maps/2e4c4c4cafcc49db80837f32912e66a5
    Explore at:
    Dataset updated
    Apr 26, 2022
    Dataset authored and provided by
    New Mexico Community Data Collaborative
    Area covered
    Description

    This map was updated in April of 2022. This is the archived version of this map. To see the new map, click here: https://nmcdc.maps.arcgis.com/home/item.html?id=501b02e45c0a47aa874ab4423d4c9f50#overviewThis map displays data from the Selected Economic Indicators (DP03) dataset from the 2010 American Community Survey 5-Yr Estimates, U.S. Census Bureau. Data is shown at the level of Census Tract, County, and Small Area (aggregation of Census Tracts developed by the New Mexico Department of Health). Measuring poverty is a topic of much current discussion. See the following links: A Different Way to Measure Poverty - https://www.sanders.senate.gov/imo/media/image/census.jpg"Few topics in American society have more myths and stereotypes surrounding them than poverty, misconceptions that distort both our politics and our domestic policy making."They include the notion that poverty affects a relatively small number of Americans, that the poor are impoverished for years at a time, that most of those in poverty live in inner cities, that too much welfare assistance is provided and that poverty is ultimately a result of not working hard enough. Although pervasive, each assumption is flat-out wrong." -Mark Rank, Professor of Social Welfare at Washington University: https://opinionator.blogs.nytimes.com/2013/11/02/poverty-in-america-is-mainstream/

  9. U

    Replication Data for: Transparency, Class Bias, and Redistribution: Evidence...

    • dataverse.unc.edu
    • dataverse-staging.rdmc.unc.edu
    Updated May 25, 2018
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    UNC Dataverse (2018). Replication Data for: Transparency, Class Bias, and Redistribution: Evidence From the American States [Dataset]. http://doi.org/10.15139/S3/KPG5C2
    Explore at:
    tsv(818035), txt(2774), type/x-r-syntax(1745), tsv(200052), application/x-stata-syntax(15194), pdf(159894), tsv(60400)Available download formats
    Dataset updated
    May 25, 2018
    Dataset provided by
    UNC Dataverse
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    United States
    Description

    This study employs state-level panel data between 1978-2000 to explore the relationship between transparency, media market penetration, class bias in voter participation, and welfare effort in the United States. I present empirical evidence that the effect of transparency - operationalized as state fiscal transparency - on state welfare effort is conditional on class bias in voter participation. Specifically, I present evidence that in states where transparency and class bias increased over time, state welfare effort significantly declined. These results are robust to the inclusion of controls for other determinants of redistribution that traditionally vary with geography such as governor partisanship, legislator ideology, citizen ideology, gross state product (GSP), and state demographic characteristics and are robust across several alternate model specifications. My findings suggest that increased transparency does not automatically improve the condition of socio-economically disadvantaged citizens and that transparency may have welfare-reducing effects in societies with increasing participatory gulfs between the most and least advantaged citizens.

  10. d

    Replication Data for: Pension Returns and Popular Support for Neoliberalism...

    • dataone.org
    • dataverse.harvard.edu
    Updated Nov 22, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Kerner, Andrew (2023). Replication Data for: Pension Returns and Popular Support for Neoliberalism in Post-Pension Reform Latin America [Dataset]. http://doi.org/10.7910/DVN/XA4VBO
    Explore at:
    Dataset updated
    Nov 22, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Kerner, Andrew
    Area covered
    Latin America
    Description

    Latin American pension reforms during the 1990s dramatically increased the number of Latin Americans with a direct stake in the returns to financial capital. This paper asks: How, if at all, has this expansion affected Latin American politics? I focus particularly on popular attitudes towards neoliberalism. I argue that government-induced expansions of capital ownership do not affect public preferences about neoliberalism directly, but indirectly by shaping the information that people use to judge whether neoliberalism is welfare enhancing. In this view, participation in a reformed Latin American pension system should lead to acceptance of neoliberalism when pensions returns are high, but have the opposite effect when pension returns are low. I find support for this theory in analyses of multiple datasets of Latin American survey data.

  11. d

    Replication Data for: 'How Americans Respond to Idiosyncratic and Exogenous...

    • dataone.org
    • dataverse.harvard.edu
    Updated Dec 16, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Golosov, Mikhail; Graber, Michael; Mogstad, Magne; Novgorodsky, David (2023). Replication Data for: 'How Americans Respond to Idiosyncratic and Exogenous Changes in Household Wealth and Unearned Income' [Dataset]. http://doi.org/10.7910/DVN/LXSPXF
    Explore at:
    Dataset updated
    Dec 16, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Golosov, Mikhail; Graber, Michael; Mogstad, Magne; Novgorodsky, David
    Description

    The programs replicate tables and figures from "How Americans Respond to Idiosyncratic and Exogenous Changes in Household Wealth and Unearned Income", by Golosov, Graber, Mogstad, and Novgorodsky. Please see the README file for additional details.

  12. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Garand, James (2023). Replication Data for: Immigration Attitudes and Support for the Welfare State in the American Mass Public [Dataset]. http://doi.org/10.7910/DVN/WTURMZ

Replication Data for: Immigration Attitudes and Support for the Welfare State in the American Mass Public

Related Article
Explore at:
Dataset updated
Nov 21, 2023
Dataset provided by
Harvard Dataverse
Authors
Garand, James
Description

In this paper we explore the relationship between Americans’ attitudes toward immigrants and immigration and their attitudes toward welfare. Using data from the Cumulative American National Election Study (CANES) from 1992-2012, we find ample evidence of the influence of immigration attitudes on both individuals’ attitudes toward welfare recipients and their attitudes toward increased welfare spending. These immigration effects persist even in face of statistical controls for attitudes toward African Americans and attitudes toward the poor; indeed, in our models the magnitude of the effects of immigration attitudes surpasses the magnitude of effects of attitudes toward blacks. Further, our findings of immigration effects withstand a range of robustness tests. Our results point to the possible "immigrationalization" of Americans’ welfare attitudes and provide strong evidence that how Americans think about immigration and immigrants is a major factor in how they think about welfare.

Search
Clear search
Close search
Google apps
Main menu