The DOI matches its Crossref record.
The Company You Keep: The Effects of Family and Neighborhood on Disadvantaged Youths
Open accessAbstract
We examine the effects of family background variables and neighborhood peers on the behaviors of inner-city youths in a tight labor market using data from the 1989 NBER survey of youths living in low-income Boston neighborhoods.We find that family adult behaviors are strongly related to analogous youth behaviors.The links between the behavior of older family members and youths are important for criminal activity, drug and alcohol use, childbearing out of wedlock, schooling, and church attendance.We also find that the behaviors of neighborhood peers appear to substantially affect youth behaviors in a manner suggestive of contagion models of neighborhood effects.Residence in a neighborhood in which a large proportion of other youths are involved in crime is associated with a substantial increase in an individual's probability of the being involved in crime.Significant neighborhood peer effects are also apparent for drug and alcohol use, church attendance, and the propensity of youths to be out of school and out of work.Our results indicate that family and peer influences both operate in manner such that "like begets like."
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
(2001) · RePEc: Research Papers in Economics · Cited by 27,577
Identification of Endogenous Social Effects: The Reflection Problem
Manski, C. F. (1993) · The Review of Economic Studies · doi:10.2307/2298123 · Cited by 6,209
Recent Developments in the Econometrics of Program Evaluation
Imbens, G. W., & Wooldridge, J. M. (2009) · Journal of Economic Literature · doi:10.1257/jel.47.1.5 · Cited by 4,926
The price of sin: The effects of social norms on markets
Hong, H., & Kacperczyk, M. (2009) · Journal of Financial Economics · doi:10.1016/j.jfineco.2008.09.001 · Cited by 2,601
Intergenerational Mobility in the Labor Market
Solon, G. (1999) · Handbook of Labor Economics · doi:10.1016/s1573-4463(99)03010-2 · Cited by 1,109
The Intergenerational Transmission of Risk and Trust Attitudes
Dohmen, T., Falk, A., Huffman, D., & Sunde, U. (2012) · The Review of Economic Studies · doi:10.1093/restud/rdr027 · Cited by 1,037
Aschbacher, P. R., Li, E., & Roth, E. J. (2010) · Journal of Research in Science Teaching · doi:10.1002/tea.20353 · Cited by 742
(2014) · Econometrica · doi:10.3982/ecta11991 · Cited by 586
Building Criminal Capital behind Bars: Peer Effects in Juvenile Corrections *
Bayer, P., Hjalmarsson, R., & Pozen, D. (2009) · Quarterly Journal of Economics · doi:10.1162/qjec.2009.124.1.105 · Cited by 452
Having the wrong friends? Peer effects in adolescent substance use
Lundborg, P. (2006) · Journal of Health Economics · doi:10.1016/j.jhealeco.2005.02.001 · Cited by 330
Doepke, M., Sorrenti, G., & Zilibotti, F. (2019) · Annual Review of Economics · doi:10.1146/annurev-economics-080218-030156 · Cited by 193
Cooper, D. J., & Rege, M. (2011) · Games and Economic Behavior · doi:10.1016/j.geb.2010.12.012 · Cited by 100
Compliance and the power of authority
Karakostas, A., & Zizzo, D. J. (2016) · Journal of Economic Behavior & Organization · doi:10.1016/j.jebo.2015.09.016 · Cited by 87
Can Neighbor Attributes Predict School Absences?
Gottfried, M. A. (2014) · Urban Education · doi:10.1177/0042085913475634 · Cited by 62
Can Institutions Resolve Ethnic Conflict?
Easterly, W. (2001) · doi:10.2139/ssrn.248579 · Cited by 45
How local partisan context conditions prosocial behaviors: Mask wearing during COVID-19
Baxter-King, R., Brown, J. R., Enos, R. D., Naeim, A., & Vavreck, L. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2116311119 · Cited by 45
(2005) · RePEc: Research Papers in Economics · Cited by 23
Rodriguez-Planas, N. (2010) · doi:10.2139/ssrn.1631103 · Cited by 18
Addiction, Thick Market Externalities, and the Persistence of the Opioid Epidemic
Cutler, D., & Donahoe, J. T. (2024) · doi:10.3386/w32055 · Cited by 13
Metadata
- Authors
- Case, A., & Katz, L.
- Venue
- National Bureau of Economic Research
- Publisher
- National Bureau of Economic Research
- Published
- 1991-05
- OpenAlex
- W2131460490
- Cited by
- 892
- References
- 0
- Type
- report
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.