Differential coverage across demographic groups in a census or survey can reduce the accuracy and representativeness of the resulting statistics. Researchers traditionally have used community-level measures to study response behavior and coverage, which can obscure patterns for small population groups. We illustrate this using household-level citizenship and immigration status. We construct household-level characteristics using administrative records for each address in a randomized control trial (RCT) survey that measured the effects of including a citizenship question on a decennial census questionnaire. Our results show that the self-response rate to the questionnaire without the citizenship question ranges from 70.4% in households with only U.S.-born non-Hispanic Whites to 27.5% in those with at least one likely undocumented person (a 42.9 percentage point gap). Including the citizenship question widens the gap by a statistically significant 2.4 percentage points. Compared to households with all U.S.-born non-Hispanic Whites, the household roster omission rate in households with at least one likely undocumented member is 6.0 times higher without the citizenship question and 10.4 times higher with the question. These patterns help explain why administrative record-based population data include more non-citizens than survey-based official statistics.
{"title":"Citizenship question effects on household survey response","authors":"J. David Brown, Misty L. Heggeness","doi":"10.1002/pam.70004","DOIUrl":"https://doi.org/10.1002/pam.70004","url":null,"abstract":"Differential coverage across demographic groups in a census or survey can reduce the accuracy and representativeness of the resulting statistics. Researchers traditionally have used community-level measures to study response behavior and coverage, which can obscure patterns for small population groups. We illustrate this using household-level citizenship and immigration status. We construct household-level characteristics using administrative records for each address in a randomized control trial (RCT) survey that measured the effects of including a citizenship question on a decennial census questionnaire. Our results show that the self-response rate to the questionnaire without the citizenship question ranges from 70.4% in households with only U.S.-born non-Hispanic Whites to 27.5% in those with at least one likely undocumented person (a 42.9 percentage point gap). Including the citizenship question widens the gap by a statistically significant 2.4 percentage points. Compared to households with all U.S.-born non-Hispanic Whites, the household roster omission rate in households with at least one likely undocumented member is 6.0 times higher without the citizenship question and 10.4 times higher with the question. These patterns help explain why administrative record-based population data include more non-citizens than survey-based official statistics.","PeriodicalId":48105,"journal":{"name":"Journal of Policy Analysis and Management","volume":"41 1","pages":""},"PeriodicalIF":3.8,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143666328","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Green Gentrification and Environmental Injustice: A Complexity Approach to Policy by Heather E.Campbell, AdamEckerd, and YushimKim. Springer Cham, 2024, 202 pp., $179.99 (hardcover).","authors":"Shanti Gamper‐Rabindran","doi":"10.1002/pam.70006","DOIUrl":"https://doi.org/10.1002/pam.70006","url":null,"abstract":"","PeriodicalId":48105,"journal":{"name":"Journal of Policy Analysis and Management","volume":"14 1","pages":""},"PeriodicalIF":3.8,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143665841","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Erasing History: How Fascists Rewrite the Past to Control the Future by Jason Stanley. Simon & Schuster, 2024, 256 pp.","authors":"Valeria Umanets","doi":"10.1002/pam.70008","DOIUrl":"https://doi.org/10.1002/pam.70008","url":null,"abstract":"Click on the article title to read more.","PeriodicalId":48105,"journal":{"name":"Journal of Policy Analysis and Management","volume":"16 1","pages":""},"PeriodicalIF":3.8,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143635318","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A commonly expressed concern about distributional weighting in benefit‐cost analysis is that the informational burden is too high and the practical challenges insurmountable. In this paper, we address this concern by conducting distributional weighting on a number of real‐world examples, covering a range of different types of policy impacts. We uncover and explore a number of methodological issues that arise in the process of distributional weighting and provide a simplified set of steps that we believe can be implemented by practitioners with a wide range of expertise. We conduct sensitivity analysis and Monte Carlo simulation to test the robustness of our estimates of weighted net benefits to the various assumptions we make, and find that, in general, distributional weighting is no more vulnerable to modeling assumptions and parameter selection than unweighted benefit‐cost analysis itself. We conclude that the concern about the practicability of distributional weighting is, at least in a range of important cases, unfounded.
{"title":"Practical issues in conducting distributional weighting in benefit‐cost analysis","authors":"Daniel Acland, David Greenberg","doi":"10.1002/pam.22669","DOIUrl":"https://doi.org/10.1002/pam.22669","url":null,"abstract":"A commonly expressed concern about distributional weighting in benefit‐cost analysis is that the informational burden is too high and the practical challenges insurmountable. In this paper, we address this concern by conducting distributional weighting on a number of real‐world examples, covering a range of different types of policy impacts. We uncover and explore a number of methodological issues that arise in the process of distributional weighting and provide a simplified set of steps that we believe can be implemented by practitioners with a wide range of expertise. We conduct sensitivity analysis and Monte Carlo simulation to test the robustness of our estimates of weighted net benefits to the various assumptions we make, and find that, in general, distributional weighting is no more vulnerable to modeling assumptions and parameter selection than unweighted benefit‐cost analysis itself. We conclude that the concern about the practicability of distributional weighting is, at least in a range of important cases, unfounded.","PeriodicalId":48105,"journal":{"name":"Journal of Policy Analysis and Management","volume":"17 1","pages":""},"PeriodicalIF":3.8,"publicationDate":"2025-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143599962","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
<p>Frank Edwards has written an exceptional essay focused on reconciling critical and quantitative approaches to understanding the role of historic and contemporary racism as drivers of racial disparities in Child Protective Services (CPS) involvement in the United States. Moreover, he proposes an innovative theoretical framework with explicit empirical applications for estimating the magnitude of the effects of racism in producing these disparities. This approach, which we look forward to seeing implemented in future empirical work, holds considerable promise for increasing our understanding of the extent to which racist processes have resulted in and continue to result in Black and Native American/American Indian populations being disproportionately represented in CPS systems.</p>