The DOI matches its Crossref record; 91 of the 97 references it cites were found in a registry or an index.
Neighborhood Effects on the Long-Term Well-Being of Low-Income Adults
Open accessAbstract
Location, Location, Location: It seems obvious that a person's residential neighborhood will influence their sense of well-being, but it has been difficult to nail down cause and effect. Ludwig et al. (p. 1505 ; see the Perspective by Sampson ) describe the analysis, 10 to 15 years onward, of a large-scale social experiment carried out in five U.S. cities in the mid 1990s. Several thousand residents of poor neighborhoods were given housing vouchers that could only be used if they moved into much less poor neighborhoods. In comparison to a similar group of individuals who did not move, those who did experienced substantial improvement in their subjective well-being.
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“Moving to middle-income neighborhoods was associated with better self-reported health and decreased substance use, increased rates of employment, and decreased exposure to neighborhood violence.(37)”
From Evaluating strategies for reducing health disparities by addressing the social determinants of health. (2016) · cites this paper as [37]
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Toprak, Ö., Kurt, H., Sarı, Y., Şarkış, C., Us, H., & Kırık, A. (2017) · Kidney & Blood Pressure Research · doi:10.1159/000468530 · Cited by 29,772
Chobanian, A. V. (2003) · JAMA · doi:10.1001/jama.289.19.2560 · Cited by 25,386
Chobanian, A. V., Bakris, G. L., Black, H. R., Cushman, W. C., Green, L. A., Izzo, J. L., Jones, D. W., Materson, B. J., Oparil, S., Wright, J. T., et al. (2003) · Hypertension · doi:10.1161/01.hyp.0000107251.49515.c2 · Cited by 13,271
Subjective well-being: Three decades of progress.
Diener, E., Suh, E. M., Lucas, R. E., & Smith, H. L. (1999) · Psychological Bulletin · doi:10.1037/0033-2909.125.2.276 · Cited by 12,910
Neighborhoods and Violent Crime: A Multilevel Study of Collective Efficacy
Sampson, R. J., Raudenbush, S. W., & Earls, F. (1997) · Science · doi:10.1126/science.277.5328.918 · Cited by 11,999
Mostly Harmless Econometrics: An Empiricist's Companion
Angrist, J. D., & Pischke, J.-S. (2009) · doi:10.1515/9781400829828 · Cited by 9,467
Self-rated health and mortality: a review of twenty-seven community studies.
Idler, E. L., & Benyamini, Y. (1997) · Journal of Health and Social Behavior · doi:10.2307/2955359 · Cited by 8,598
Well-being : the foundations of hedonic psychology
Kahneman, D. J., Diener, E. F., & Schwarz, N. (1999) · Cited by 7,472
Testing for Weak Instruments in Linear IV Regression
Stock, J. H., & Yogo, M. (2005) · Identification and Inference for Econometric Models · doi:10.1017/cbo9780511614491.006 · Cited by 7,211
Instrumental Variables Regression with Weak Instruments
Staiger, D., & Stock, J. H. (1997) · Econometrica · doi:10.2307/2171753 · Cited by 7,081
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6 of the 97 references couldn’t be matched to a known paper.
Research works printed but not linked: 9
- W. J. Wilson The Truly Disadvantaged: The Inner City the Underclass and Public Policy (University Press Chicago 1987).
- Ludwig J., Guest editor’s introduction: Special issue on MTO. Cityscape 14, 1 (2012).
- R. Ellickson in Property Rights and Land Policies G. Ingram Y.-H. Hong Eds. (Lincoln Institute of Land Policy Cambridge MA 2009) pp. 418–452.
- J. Goering J. D. Feins T. Richardson in What Have We Learned About Housing Mobility and Poverty Deconcentration? In Choosing a Better Life? Evaluating the Moving to Opportunity Social Experiment J. Goering J. Feins Eds. (The Urban Institute Press 2003) pp. 3–36.
- R. M. Groves F. J. Fowler M. P. Couper J. M. Lepkowski E. Singer Survey Methodology (Wiley New York ed. 7 2004).
- The American Association of Public Opinion Research Standard Definitions: Final Dispositions of Case Codes and Outcome Rates for Surveys 7th Edition (2011).
- 10.1111/j.1468-0297.2004.00235.x · DOI
- 10.1016/S0047-2727(02)00168-8 · DOI
- E. Diener R. E. Lucas in Well-being: The Foundations of Hedonic Psychology D. Kahneman E. Diener N. Schwarz Eds. (Guilford Press 1999) vol. 37 pp. 213–229.
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Chetty, R., Hendren, N., & Katz, L. F. (2016) · American Economic Review · doi:10.1257/aer.20150572 · Cited by 2,315
Self-citationNeighborhood Socioeconomic Disadvantage and 30-Day Rehospitalization
Kind, A., Jencks, S., Brock, J., Yu, M., Bartels, C. M., Ehlenbach, W. J., Greenberg, C., & Smith, M. (2014) · Annals of Internal Medicine · doi:10.7326/m13-2946 · Cited by 1,383
Poverty, depression, and anxiety: Causal evidence and mechanisms
Ridley, M., Rao, G., Schilbach, F., & Patel, V. (2020) · Science · doi:10.1126/science.aay0214 · Cited by 1,220
Lund, C., Brooke-Sumner, C., Baingana, F., Baron, E. C., Breuer, E., Chandra, P., Haushofer, J., Herrman, H., Jordans, M., Kieling, C., et al. (2018) · The Lancet Psychiatry · doi:10.1016/s2215-0366(18)30060-9 · Cited by 1,147
European Society of Cardiology: cardiovascular disease statistics 2021
Timmis, A., Vardas, P. E., Townsend, N. P., Torbica, A., Katus, H. A., Smedt, D. D., Gale, C. P., Maggioni, A. P., Petersen, S. E., Huculeci, R., et al. (2021) · European Heart Journal · doi:10.1093/eurheartj/ehab892 · Cited by 1,235
Metadata
- Authors
- Ludwig, J., Duncan, G. J., Gennetian, L. A., Katz, L. F., Kessler, R. C., Kling, J. R., & Sanbonmatsu, L.
- Affiliations
- National Bureau of Economic Research (US)
- University of California, Irvine (US)
- Brookings Institution (US)
- Harvard University (US)
- Congressional Budget Office (US)
- Corresponding author
- Ludwig, Jens
- Venue
- Science
- Published
- 2012-09-21
- Volume
- 337
- Issue
- 6101
- Pages
- 1505-1510
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- PMC
- PMC3491569
- OpenAlex
- W2120406225
- Cited by
- 747
- References
- 97
- Citations by year
- 2026: 32 · 2025: 38 · 2024: 40 · 2023: 45 · 2022: 57 · 2021: 65 · 2020: 66 · 2019: 57 · 2018: 47 · 2017: 54 · 2016: 59 · 2015: 84 · 2014: 53 · 2013: 45 · 2012: 5
- FWCI
- 197.27
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Science (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Centers for Disease Control and Prevention (R49CE000906)
- National Institute on Aging (R01AG031259, R56AG031259, P20-AG012180, P01-AG005842-22S1, P01AG005842, P30AG012810)
- National Institute of Mental Health (R01MH077026)
- National Institute of Diabetes and Digestive and Kidney Diseases (P30DK092949)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (R01HD040444, R01HD040404, R24HD051152)
- Topics
- Social Sciences › Sociology and Political Science › Urban, Neighborhood, and Segregation Studies
- Social Sciences › Health › Health disparities and outcomes
- Social Sciences › Psychology › Social Psychology › Psychological Well-being and Life Satisfaction
- Keywords
- neighborhood effects, neighborhood poverty, low-income adults, Moving to Opportunity, residential mobility, subjective well-being, physical health, mental health, racial segregation, income segregation, long-term outcomes
- MeSH terms
- Adult, Happiness, Housing, Humans, Income, Mental Health, Personal Satisfaction, Poverty, Quality of Life, Residence Characteristics, Social Conditions, United States, United States Government Agencies
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