Using data for couples to project the distributional effects of changes in Social Security policy
Under Social Security program rules, the aged receive Social Security benefits either as retired workers, spouses, divorced spouses, or widow(er)s. Retired-worker benefits are paid to workers who have 40 quarters of coverage over their lives. Auxiliary benefits are paid to spouses, divorced spouses,...
Gespeichert in:
Veröffentlicht in: | Social security bulletin 1999, Vol.62 (3), p.20-27 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 27 |
---|---|
container_issue | 3 |
container_start_page | 20 |
container_title | Social security bulletin |
container_volume | 62 |
creator | Butrica, B A Iams, H M Sandell, S H |
description | Under Social Security program rules, the aged receive Social Security benefits either as retired workers, spouses, divorced spouses, or widow(er)s. Retired-worker benefits are paid to workers who have 40 quarters of coverage over their lives. Auxiliary benefits are paid to spouses, divorced spouses, and widow(er)s of retired workers. Spouse benefits are computed using the earnings history of the current spouse for individuals who are married when they apply for benefits. Divorced spouse and widow(er) benefits are computed using the earnings history of the ex-spouse or deceased spouse with the highest PIA. A large number of retired women are entitled to auxiliary benefits. Some women receive only auxiliary benefits, while the majority of women have their retired-worker benefit supplemented by auxiliary benefits. Because the level of Social Security benefits can reflect the relative lifetime earnings of both spouses, as a couple, using individual data to estimate Social Security benefits will tend to underestimate actual benefits, particularly for women. However, detailed data for couples are often difficult to obtain. There is currently no known single data source that includes both marital and earnings history information. As a result, many researchers resort to estimating Social Security benefits using individual data or aggregate data, such as the average earnings of men and women. The Social Security Administration's Office of Research, Evaluation, and Statistics, with substantial assistance from the Brookings Institution, the Urban Institute, and the RAND Corporation, is developing a model that overcomes this problem by using the marital and earnings histories of both marital partners to estimate Social Security benefits. The Modeling Income in the Near Term (MINT) model projects retirement income (Social Security benefits, pension income, asset income, and earnings of working beneficiaries) from 1997 through 2031 for current and future Social Security beneficiaries using a unique data source--the Survey of Income and Program Participation (SIPP)--matched to Social Security Administration records. Using MINT data, this article establishes the importance of using data for couples rather than individuals by examining the impact of changing Social Security benefits to reflect 40 years of lifetime earnings rather than the 35 years required under current law. We compare the effect of this policy change on married women by estimating their benefits with data |
format | Article |
fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_proquest_miscellaneous_69463856</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>59916288</sourcerecordid><originalsourceid>FETCH-LOGICAL-p301t-f3580cd46fa4cbb92e5dd072bd17371346d93f1ed929252897395d2e595042043</originalsourceid><addsrcrecordid>eNqF0EtLAzEQB_Agiq3VryA56amQZHbzOErxBQUPteclm0ebst2sm-yh396A9aqnGfj_ZhjmAs2pArGsOOeXaE5I6YWiZIZuUjoQQiiAvEYzSgQw4HKO9DaFfoetzhr7OGITp6FzCeeIhzEenMk47x22IeUxtFMOsdcddt6XJOHosdnrflcGQo830YQSbpyZxpBPeIhdMKdbdOV1l9zduS7Q9uX5c_W2XH-8vq-e1ssBCM1LD7Ukxlbc68q0rWKutpYI1loqQFCouFXgqbOKKVYzqQSo2halalIxUsECPfzsLXd_TS7l5hiScV2nexen1HBVcZA1_xfWSlHOpCzw8U_ImJAEqFJF3p_l1B6dbYYxHPV4an7_DN985nnO</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>227803199</pqid></control><display><type>article</type><title>Using data for couples to project the distributional effects of changes in Social Security policy</title><source>MEDLINE</source><source>PAIS Index</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>Business Source Complete</source><creator>Butrica, B A ; Iams, H M ; Sandell, S H</creator><creatorcontrib>Butrica, B A ; Iams, H M ; Sandell, S H</creatorcontrib><description>Under Social Security program rules, the aged receive Social Security benefits either as retired workers, spouses, divorced spouses, or widow(er)s. Retired-worker benefits are paid to workers who have 40 quarters of coverage over their lives. Auxiliary benefits are paid to spouses, divorced spouses, and widow(er)s of retired workers. Spouse benefits are computed using the earnings history of the current spouse for individuals who are married when they apply for benefits. Divorced spouse and widow(er) benefits are computed using the earnings history of the ex-spouse or deceased spouse with the highest PIA. A large number of retired women are entitled to auxiliary benefits. Some women receive only auxiliary benefits, while the majority of women have their retired-worker benefit supplemented by auxiliary benefits. Because the level of Social Security benefits can reflect the relative lifetime earnings of both spouses, as a couple, using individual data to estimate Social Security benefits will tend to underestimate actual benefits, particularly for women. However, detailed data for couples are often difficult to obtain. There is currently no known single data source that includes both marital and earnings history information. As a result, many researchers resort to estimating Social Security benefits using individual data or aggregate data, such as the average earnings of men and women. The Social Security Administration's Office of Research, Evaluation, and Statistics, with substantial assistance from the Brookings Institution, the Urban Institute, and the RAND Corporation, is developing a model that overcomes this problem by using the marital and earnings histories of both marital partners to estimate Social Security benefits. The Modeling Income in the Near Term (MINT) model projects retirement income (Social Security benefits, pension income, asset income, and earnings of working beneficiaries) from 1997 through 2031 for current and future Social Security beneficiaries using a unique data source--the Survey of Income and Program Participation (SIPP)--matched to Social Security Administration records. Using MINT data, this article establishes the importance of using data for couples rather than individuals by examining the impact of changing Social Security benefits to reflect 40 years of lifetime earnings rather than the 35 years required under current law. We compare the effect of this policy change on married women by estimating their benefits with data for couples and with individual data. Results indicate that: Using individual data overestimates the projected reduction in retirement benefits brought about by the policy change and makes the effects on women look more severe than they actually are. Because older birth cohorts are more likely than younger cohorts to receive auxiliary benefits based on their husbands' average lifetime earnings, the bias created by using individual data is projected to be much larger for older cohorts than for younger cohorts. This article emphasizes the importance of using data for couples to estimate Social Security benefits, particularly for women. Although our focus is on married women, using data for couples is just as important for calculating the retirement benefits of divorced and widowed individuals. For individuals who are divorced or widowed at retirement, their Social Security benefits are based on their own earnings history, as well as the earnings histories of each of their previous spouses.</description><identifier>ISSN: 0037-7910</identifier><identifier>EISSN: 1937-4666</identifier><identifier>PMID: 10732368</identifier><identifier>CODEN: SSYBA7</identifier><language>eng</language><publisher>United States: Superintendent of Documents</publisher><subject>Age Factors ; Aged ; Benefits ; Bias ; Changes ; Cohort Studies ; Couples ; Data collection ; Data Interpretation, Statistical ; Divorce - statistics & numerical data ; Early retirement ; Earnings ; Economic statistics ; Effects ; Female ; Forecasting ; Humans ; Male ; Marriage - statistics & numerical data ; Married people ; Models, Economic ; Organizational Innovation ; Organizational Policy ; Pensions ; Reproducibility of Results ; Retirement - economics ; Retirement benefits ; Sex Factors ; Social insurance ; Social policy ; Social security ; Social Security - organization & administration ; United States ; Widowhood - statistics & numerical data ; Women ; Workers</subject><ispartof>Social security bulletin, 1999, Vol.62 (3), p.20-27</ispartof><rights>Copyright Superintendent of Documents 1999</rights><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,4010,27842</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/10732368$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Butrica, B A</creatorcontrib><creatorcontrib>Iams, H M</creatorcontrib><creatorcontrib>Sandell, S H</creatorcontrib><title>Using data for couples to project the distributional effects of changes in Social Security policy</title><title>Social security bulletin</title><addtitle>Soc Secur Bull</addtitle><description>Under Social Security program rules, the aged receive Social Security benefits either as retired workers, spouses, divorced spouses, or widow(er)s. Retired-worker benefits are paid to workers who have 40 quarters of coverage over their lives. Auxiliary benefits are paid to spouses, divorced spouses, and widow(er)s of retired workers. Spouse benefits are computed using the earnings history of the current spouse for individuals who are married when they apply for benefits. Divorced spouse and widow(er) benefits are computed using the earnings history of the ex-spouse or deceased spouse with the highest PIA. A large number of retired women are entitled to auxiliary benefits. Some women receive only auxiliary benefits, while the majority of women have their retired-worker benefit supplemented by auxiliary benefits. Because the level of Social Security benefits can reflect the relative lifetime earnings of both spouses, as a couple, using individual data to estimate Social Security benefits will tend to underestimate actual benefits, particularly for women. However, detailed data for couples are often difficult to obtain. There is currently no known single data source that includes both marital and earnings history information. As a result, many researchers resort to estimating Social Security benefits using individual data or aggregate data, such as the average earnings of men and women. The Social Security Administration's Office of Research, Evaluation, and Statistics, with substantial assistance from the Brookings Institution, the Urban Institute, and the RAND Corporation, is developing a model that overcomes this problem by using the marital and earnings histories of both marital partners to estimate Social Security benefits. The Modeling Income in the Near Term (MINT) model projects retirement income (Social Security benefits, pension income, asset income, and earnings of working beneficiaries) from 1997 through 2031 for current and future Social Security beneficiaries using a unique data source--the Survey of Income and Program Participation (SIPP)--matched to Social Security Administration records. Using MINT data, this article establishes the importance of using data for couples rather than individuals by examining the impact of changing Social Security benefits to reflect 40 years of lifetime earnings rather than the 35 years required under current law. We compare the effect of this policy change on married women by estimating their benefits with data for couples and with individual data. Results indicate that: Using individual data overestimates the projected reduction in retirement benefits brought about by the policy change and makes the effects on women look more severe than they actually are. Because older birth cohorts are more likely than younger cohorts to receive auxiliary benefits based on their husbands' average lifetime earnings, the bias created by using individual data is projected to be much larger for older cohorts than for younger cohorts. This article emphasizes the importance of using data for couples to estimate Social Security benefits, particularly for women. Although our focus is on married women, using data for couples is just as important for calculating the retirement benefits of divorced and widowed individuals. For individuals who are divorced or widowed at retirement, their Social Security benefits are based on their own earnings history, as well as the earnings histories of each of their previous spouses.</description><subject>Age Factors</subject><subject>Aged</subject><subject>Benefits</subject><subject>Bias</subject><subject>Changes</subject><subject>Cohort Studies</subject><subject>Couples</subject><subject>Data collection</subject><subject>Data Interpretation, Statistical</subject><subject>Divorce - statistics & numerical data</subject><subject>Early retirement</subject><subject>Earnings</subject><subject>Economic statistics</subject><subject>Effects</subject><subject>Female</subject><subject>Forecasting</subject><subject>Humans</subject><subject>Male</subject><subject>Marriage - statistics & numerical data</subject><subject>Married people</subject><subject>Models, Economic</subject><subject>Organizational Innovation</subject><subject>Organizational Policy</subject><subject>Pensions</subject><subject>Reproducibility of Results</subject><subject>Retirement - economics</subject><subject>Retirement benefits</subject><subject>Sex Factors</subject><subject>Social insurance</subject><subject>Social policy</subject><subject>Social security</subject><subject>Social Security - organization & administration</subject><subject>United States</subject><subject>Widowhood - statistics & numerical data</subject><subject>Women</subject><subject>Workers</subject><issn>0037-7910</issn><issn>1937-4666</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1999</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>7TQ</sourceid><sourceid>8G5</sourceid><sourceid>BENPR</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqF0EtLAzEQB_Agiq3VryA56amQZHbzOErxBQUPteclm0ebst2sm-yh396A9aqnGfj_ZhjmAs2pArGsOOeXaE5I6YWiZIZuUjoQQiiAvEYzSgQw4HKO9DaFfoetzhr7OGITp6FzCeeIhzEenMk47x22IeUxtFMOsdcddt6XJOHosdnrflcGQo830YQSbpyZxpBPeIhdMKdbdOV1l9zduS7Q9uX5c_W2XH-8vq-e1ssBCM1LD7Ukxlbc68q0rWKutpYI1loqQFCouFXgqbOKKVYzqQSo2halalIxUsECPfzsLXd_TS7l5hiScV2nexen1HBVcZA1_xfWSlHOpCzw8U_ImJAEqFJF3p_l1B6dbYYxHPV4an7_DN985nnO</recordid><startdate>1999</startdate><enddate>1999</enddate><creator>Butrica, B A</creator><creator>Iams, H M</creator><creator>Sandell, S H</creator><general>Superintendent of Documents</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>0-V</scope><scope>0U~</scope><scope>1-H</scope><scope>3V.</scope><scope>4T-</scope><scope>7TQ</scope><scope>7WY</scope><scope>7WZ</scope><scope>7X7</scope><scope>7XB</scope><scope>87Z</scope><scope>88C</scope><scope>88E</scope><scope>88J</scope><scope>8AO</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8FL</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>DHY</scope><scope>DON</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>FYUFA</scope><scope>F~G</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>K60</scope><scope>K6~</scope><scope>K9-</scope><scope>K9.</scope><scope>L.-</scope><scope>L.0</scope><scope>M0C</scope><scope>M0R</scope><scope>M0S</scope><scope>M0T</scope><scope>M1P</scope><scope>M2O</scope><scope>M2R</scope><scope>MBDVC</scope><scope>PADUT</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYYUZ</scope><scope>Q9U</scope><scope>S0X</scope><scope>7X8</scope></search><sort><creationdate>1999</creationdate><title>Using data for couples to project the distributional effects of changes in Social Security policy</title><author>Butrica, B A ; Iams, H M ; Sandell, S H</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p301t-f3580cd46fa4cbb92e5dd072bd17371346d93f1ed929252897395d2e595042043</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1999</creationdate><topic>Age Factors</topic><topic>Aged</topic><topic>Benefits</topic><topic>Bias</topic><topic>Changes</topic><topic>Cohort Studies</topic><topic>Couples</topic><topic>Data collection</topic><topic>Data Interpretation, Statistical</topic><topic>Divorce - statistics & numerical data</topic><topic>Early retirement</topic><topic>Earnings</topic><topic>Economic statistics</topic><topic>Effects</topic><topic>Female</topic><topic>Forecasting</topic><topic>Humans</topic><topic>Male</topic><topic>Marriage - statistics & numerical data</topic><topic>Married people</topic><topic>Models, Economic</topic><topic>Organizational Innovation</topic><topic>Organizational Policy</topic><topic>Pensions</topic><topic>Reproducibility of Results</topic><topic>Retirement - economics</topic><topic>Retirement benefits</topic><topic>Sex Factors</topic><topic>Social insurance</topic><topic>Social policy</topic><topic>Social security</topic><topic>Social Security - organization & administration</topic><topic>United States</topic><topic>Widowhood - statistics & numerical data</topic><topic>Women</topic><topic>Workers</topic><toplevel>online_resources</toplevel><creatorcontrib>Butrica, B A</creatorcontrib><creatorcontrib>Iams, H M</creatorcontrib><creatorcontrib>Sandell, S H</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>ProQuest Social Sciences Premium Collection</collection><collection>Global News & ABI/Inform Professional</collection><collection>Trade PRO</collection><collection>ProQuest Central (Corporate)</collection><collection>Docstoc</collection><collection>PAIS Index</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Healthcare Administration Database (Alumni)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Social Science Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Social Science Premium Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>PAIS International</collection><collection>PAIS International (Ovid)</collection><collection>ProQuest Central Korea</collection><collection>Business Premium Collection (Alumni)</collection><collection>Health Research Premium Collection</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>Consumer Health Database (Alumni Edition)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Professional Standard</collection><collection>ABI/INFORM Global</collection><collection>Consumer Health Database</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Healthcare Administration Database</collection><collection>Medical Database</collection><collection>Research Library</collection><collection>Social Science Database</collection><collection>Research Library (Corporate)</collection><collection>Research Library China</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ABI/INFORM Collection China</collection><collection>ProQuest Central Basic</collection><collection>SIRS Editorial</collection><collection>MEDLINE - Academic</collection><jtitle>Social security bulletin</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Butrica, B A</au><au>Iams, H M</au><au>Sandell, S H</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Using data for couples to project the distributional effects of changes in Social Security policy</atitle><jtitle>Social security bulletin</jtitle><addtitle>Soc Secur Bull</addtitle><date>1999</date><risdate>1999</risdate><volume>62</volume><issue>3</issue><spage>20</spage><epage>27</epage><pages>20-27</pages><issn>0037-7910</issn><eissn>1937-4666</eissn><coden>SSYBA7</coden><abstract>Under Social Security program rules, the aged receive Social Security benefits either as retired workers, spouses, divorced spouses, or widow(er)s. Retired-worker benefits are paid to workers who have 40 quarters of coverage over their lives. Auxiliary benefits are paid to spouses, divorced spouses, and widow(er)s of retired workers. Spouse benefits are computed using the earnings history of the current spouse for individuals who are married when they apply for benefits. Divorced spouse and widow(er) benefits are computed using the earnings history of the ex-spouse or deceased spouse with the highest PIA. A large number of retired women are entitled to auxiliary benefits. Some women receive only auxiliary benefits, while the majority of women have their retired-worker benefit supplemented by auxiliary benefits. Because the level of Social Security benefits can reflect the relative lifetime earnings of both spouses, as a couple, using individual data to estimate Social Security benefits will tend to underestimate actual benefits, particularly for women. However, detailed data for couples are often difficult to obtain. There is currently no known single data source that includes both marital and earnings history information. As a result, many researchers resort to estimating Social Security benefits using individual data or aggregate data, such as the average earnings of men and women. The Social Security Administration's Office of Research, Evaluation, and Statistics, with substantial assistance from the Brookings Institution, the Urban Institute, and the RAND Corporation, is developing a model that overcomes this problem by using the marital and earnings histories of both marital partners to estimate Social Security benefits. The Modeling Income in the Near Term (MINT) model projects retirement income (Social Security benefits, pension income, asset income, and earnings of working beneficiaries) from 1997 through 2031 for current and future Social Security beneficiaries using a unique data source--the Survey of Income and Program Participation (SIPP)--matched to Social Security Administration records. Using MINT data, this article establishes the importance of using data for couples rather than individuals by examining the impact of changing Social Security benefits to reflect 40 years of lifetime earnings rather than the 35 years required under current law. We compare the effect of this policy change on married women by estimating their benefits with data for couples and with individual data. Results indicate that: Using individual data overestimates the projected reduction in retirement benefits brought about by the policy change and makes the effects on women look more severe than they actually are. Because older birth cohorts are more likely than younger cohorts to receive auxiliary benefits based on their husbands' average lifetime earnings, the bias created by using individual data is projected to be much larger for older cohorts than for younger cohorts. This article emphasizes the importance of using data for couples to estimate Social Security benefits, particularly for women. Although our focus is on married women, using data for couples is just as important for calculating the retirement benefits of divorced and widowed individuals. For individuals who are divorced or widowed at retirement, their Social Security benefits are based on their own earnings history, as well as the earnings histories of each of their previous spouses.</abstract><cop>United States</cop><pub>Superintendent of Documents</pub><pmid>10732368</pmid><tpages>8</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0037-7910 |
ispartof | Social security bulletin, 1999, Vol.62 (3), p.20-27 |
issn | 0037-7910 1937-4666 |
language | eng |
recordid | cdi_proquest_miscellaneous_69463856 |
source | MEDLINE; PAIS Index; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Business Source Complete |
subjects | Age Factors Aged Benefits Bias Changes Cohort Studies Couples Data collection Data Interpretation, Statistical Divorce - statistics & numerical data Early retirement Earnings Economic statistics Effects Female Forecasting Humans Male Marriage - statistics & numerical data Married people Models, Economic Organizational Innovation Organizational Policy Pensions Reproducibility of Results Retirement - economics Retirement benefits Sex Factors Social insurance Social policy Social security Social Security - organization & administration United States Widowhood - statistics & numerical data Women Workers |
title | Using data for couples to project the distributional effects of changes in Social Security policy |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-15T20%3A05%3A29IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_pubme&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Using%20data%20for%20couples%20to%20project%20the%20distributional%20effects%20of%20changes%20in%20Social%20Security%20policy&rft.jtitle=Social%20security%20bulletin&rft.au=Butrica,%20B%20A&rft.date=1999&rft.volume=62&rft.issue=3&rft.spage=20&rft.epage=27&rft.pages=20-27&rft.issn=0037-7910&rft.eissn=1937-4666&rft.coden=SSYBA7&rft_id=info:doi/&rft_dat=%3Cproquest_pubme%3E59916288%3C/proquest_pubme%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=227803199&rft_id=info:pmid/10732368&rfr_iscdi=true |