The DOI matches its Crossref record; 79 of the 80 references it cites were found in a registry or an index.
Models for Sample Selection Bias
Abstract
When observations in social research are selected so that they are not independent of the outcome variables in a study, sample selection leads to biased inferences about social processes. Nonrandom selection is both a source of bias in empirical research and a fundamental aspect of many social processes. This chapter reviews models that attempt to take account of sample selection and their applications in research on labor markets, schooling, legal processes, social mobility, and social networks. Variants of these models apply to outcome variables that are censored or truncated—whether explicitly or incidentally—and include the tobit model, the standard selection model, models for treatment effects in quasi-experimental designs, and endogenous switching models. Heckman’s two-stage estimator is the most widely used approach to selection bias, but its results may be sensitive to violations of its assumptions about the way that selection occurs. Recent econometric research has developed a wide variety of promising approaches to selection bias that rely on considerably weaker assumptions. These include a number of semiand nonparametric approaches to estimating selection models, the use of panel data, and the analyses of bounds of estimates. The large number of available methods and the difficulty of modelling selection indicate that researchers should be explicit about the assumptions behind their methods and should present results that derive from a variety of methods.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Sample selection bias occurs when the selection of observations into a sample is not independent of the outcome”
From Endogenous Selection Bias: The Problem of Conditioning on a Collider Variable (2014) · cites this paper as Winship & Mare 1992
In the citing paper
“Surveys of sample selection bias in sociology tend to emphasize examples where selection is affected by the treatment or the outcome, i.e., where sample selection occurs after treatment”
From Endogenous Selection Bias: The Problem of Conditioning on a Collider Variable (2014) · cites this paper as Winship & Mare 1992
In the citing paper
“Our sampling strategy may have introduced selection bias [78]: recruitment through advocacy organizations may capture more resource-aware researchers than those struggling in isolation.”
From "I Don't Trust Any Professional Research Tool": A Re-Imagination of Knowledge Production Workflows by, with, and for Blind and Low-Vision Researchers (2026) · cites this paper as [78]
Citations
Cites
The central role of the propensity score in observational studies for causal effects
ROSENBAUM, P. R., & RUBIN, D. B. (1983) · Biometrika · doi:10.1093/biomet/70.1.41 · Cited by 31,241
Sample Selection Bias as a Specification Error
Heckman, J. J. (1979) · Econometrica · doi:10.2307/1912352 · Cited by 28,779
Statistical Analysis With Missing Data
Lahiff, M., Little, R. J. A., & Rubin, D. B. (1989) · Journal of the American Statistical Association · doi:10.2307/2289883 · Cited by 17,385
Limited-Dependent and Qualitative Variables in Econometrics
Maddala, G. S. (1983) · Cambridge University Press eBooks · doi:10.1017/cbo9780511810176 · Cited by 13,268
The Statistical Analysis of Failure Time Data.
Aitkin, M. A., Kalbfleisch, J. D., & Prentice, R. L. (1981) · Biometrics · doi:10.2307/2530581 · Cited by 9,875
Estimation of Relationships for Limited Dependent Variables
Tobin, J. (1958) · Econometrica · doi:10.2307/1907382 · Cited by 6,996
Statistics and Causal Inference
Holland, P. W. (1986) · Journal of the American Statistical Association · doi:10.1080/01621459.1986.10478354 · Cited by 5,293
Applied nonparametric regression
(1991) · Choice Reviews Online · doi:10.5860/choice.29-0364 · Cited by 2,606
Bayesian inference for causal effects: The role of randomization
Rubin, D. B. (1978) · The Annals of Statistics · doi:10.1214/aos/1176344064 · Cited by 2,503
Root-N-Consistent Semiparametric Regression
Robinson, P. M. (1988) · Econometrica · doi:10.2307/1912705 · Cited by 2,450
Cited by
Sorted by citations
Items 401–500 of 809
Generalized trust among Christians in urban China: Analysis based on propensity score matching
Hu, A. (2013) · Current Sociology · doi:10.1177/0011392113490386 · Cited by 14
M., A. A. (2014) · Journal of Development and Agricultural Economics · doi:10.5897/jdae2014.0556 · Cited by 14
Honderdvijftig jaar levenslopen : De Historische Steekproef Nederlandse bevolking
Mandemakers, K., Maas, I., & van Leeuwen, H. (2008) · Amsterdam University Press eBooks · doi:10.5117/9789089640673 · Cited by 14
LOOKING BACK AT 25 YEARS OF SOCIOLOGY AND THE ANNUAL REVIEW OF SOCIOLOGY
Smelser, N. J. (1999) · Annual Review of Sociology · doi:10.1146/annurev.soc.25.1.1 · Cited by 14
Class Structure and Intergenerational Class Mobility: A Comparative Analysis of Nation and Gender
Western, M. (1994) · Social Forces · doi:10.1093/sf/73.1.101 · Cited by 14
Can Religion Trump Race? Interracial Friendship in Protestant Churches.
Wong, E. R. (2009) · Deep Blue (University of Michigan) · Cited by 14
Implementation of Instrumental Variable Bounds for Data Missing Not at Random
Marden, J. R., Wang, L., Tchetgen, E. J. T., Walter, S., Glymour, M. M., & Wirth, K. E. (2018) · Epidemiology · doi:10.1097/ede.0000000000000811 · Cited by 13
Tang, Y. (2023) · International Journal of Advanced Computer Science and Applications · doi:10.14569/ijacsa.2023.01407113 · Cited by 13
A time-sensitive analysis of the work-crime relationship for young men
Lee, A. W. (2019) · Social Science Research · doi:10.1016/j.ssresearch.2019.102327 · Cited by 16
Statistical properties of consideration sets
Carson, R. T., & Louviere, J. J. (2014) · Journal of Choice Modelling · doi:10.1016/j.jocm.2015.01.001 · Cited by 13
Fonta, W. M., Ichoku, H. E., & Kanayo, O. (2009) · Environment Development and Sustainability · doi:10.1007/s10668-009-9188-1 · Cited by 13
Correcting for selectivity bias in the estimation of road crash costs
Giles, M. J. (2003) · Applied Economics · doi:10.1080/0003684032000090717 · Cited by 13
Bradley-Engen, M. S., Damphousse, K. R., & Smith, B. L. (2009) · International Criminal Justice Review · doi:10.1177/1057567709348357 · Cited by 13
Kreps, S. E., & Wallace, G. P. R. (2009) · SSRN Electronic Journal · Cited by 13
Carlberg, E., Kostandini, G., & Dankyi, A. (2012) · RePEc: Research Papers in Economics · doi:10.22004/ag.econ.124876 · Cited by 13
Du, S. (2024) · British Journal of Sociology of Education · doi:10.1080/01425692.2024.2328133 · Cited by 13
World Bank Conditional Loans and Private Investment in Recipient Countries
Agostino, M. (2008) · World Development · doi:10.1016/j.worlddev.2007.10.012 · Cited by 12
Visscher, L., Reijneveld, S. A., Knot‐Dickscheit, J., van Yperen, T. A., Scholte, R. H. J., Delsing, M. J. M. H., Evenboer, E., & Jansen, D. E. M. C. (2021) · Family Process · doi:10.1111/famp.12745 · Cited by 12
Lu, P., & Shelley, M. (2022) · International Journal of Social Research Methodology · doi:10.1080/13645579.2022.2049509 · Cited by 13
Addressing Selection Bias in Event Studies with General-Purpose Social Media Panels
Zhang, H., Hill, S., & Rothschild, D. M. (2018) · Journal of Data and Information Quality · doi:10.1145/3185048 · Cited by 13
Institutional correlates of public service motivation: family, religion, and high school education
Kim, T., Kim, K., & Kim, S. (2021) · Asia Pacific Journal of Public Administration · doi:10.1080/23276665.2021.1977968 · Cited by 12
Hu, A. (2015) · 中国社会科学:英文版 · doi:10.1080/02529203.2015.1001321 · Cited by 12
Risk of Mortality in Elderly Nursing Home Patients with Depression Using Paroxetine
Bali, V., Chatterjee, S., Johnson, M. L., Chen, H., Carnahan, R. M., & Aparasu, R. R. (2017) · Pharmacotherapy The Journal of Human Pharmacology and Drug Therapy · doi:10.1002/phar.1898 · Cited by 12
Republication of “A Propensity Score Matching Analysis of the Effects of Special Education Services”
Morgan, P. L., Frisco, M. L., Farkas, G., & Hibel, J. (2017) · The Journal of Special Education · doi:10.1177/0022466916686105 · Cited by 12
Alexander, J. A., Pollack, H. A., Nahra, T. A., Wells, R. S., & Lemak, C. H. (2007) · The Journal of Behavioral Health Services & Research · doi:10.1007/s11414-007-9072-4 · Cited by 12
Bendig, D., & Hoke, J. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4105207 · Cited by 13
Can $p$-values be meaningfully interpreted without random sampling?
Hirschauer, N., Grüner, S., Mußhoff, O., Becker, C., & Jantsch, A. (2020) · Statistics Surveys · doi:10.1214/20-ss129 · Cited by 11
Gendered Communicative Construction of Patients in Consultation Settings
Hedegaard, J., Ahl, H., Rovio‐Johansson, A., & Siouta, E. (2014) · Women & Health · doi:10.1080/03630242.2014.903551 · Cited by 11
Moving From the Neighborhood to the Cellblock
Boessen, A., & Cauffman, E. E. (2013) · Crime & Delinquency · doi:10.1177/0011128713478131 · Cited by 11
Bali, V., Holmes, H. M., Johnson, M. L., Chen, H., Fleming, M. L., & Aparasu, R. R. (2016) · Pharmacotherapy: The Journal of Human Pharmacology and Drug Therapy · doi:10.1002/phar.1680 · Cited by 11
Bali, V., Chatterjee, S., Johnson, M. L., Chen, H., Carnahan, R. M., & Aparasu, R. R. (2016) · Journal of Comparative Effectiveness Research · doi:10.2217/cer-2016-0009 · Cited by 11
Billingsley, J. T., Rivens, A. J., & Hurd, N. M. (2020) · Journal of Adolescent Research · doi:10.1177/0743558420979127 · Cited by 12
McFayden, C. B., Hope, E. S., Boychuk, D., Johnston, L. M., Richardson, A., Coyle, M., Sloane, M., Cantin, A. S., Johnston, J. M., & Lynham, T. J. (2023) · Fire · doi:10.3390/fire6020073 · Cited by 12
Interviewer Identity as Exclusion Restriction in Epidemiology
Bärnighausen, T., Bor, J. H., Wandira-Kazibwe, S., & Canning, D. (2011) · Epidemiology · doi:10.1097/ede.0b013e3182117615 · Cited by 11
Johns, C., Lyon, P., Stringer, R., & Umberger, W. J. (2017) · Asia-Pacific development journal · doi:10.18356/88463870-en · Cited by 14
Vieira, J. A. C., Santos, C., Silva, F. J., & Lopes, F. (2018) · Ocean & Coastal Management · doi:10.1016/j.ocecoaman.2018.04.008 · Cited by 11
Intergenerational income mobility table revisited: A trajectory group perspective
Song, X., Zang, E. X., Land, K. C., & Zheng, B. (2022) · Research in Social Stratification and Mobility · doi:10.1016/j.rssm.2022.100713 · Cited by 11
Berufliche Weiterbildung – theoretische Perspektiven und empirische Befunde
Becker, R. (2017) · Springer eBooks · doi:10.1007/978-3-658-15272-7_13 · Cited by 11
Selection bias in studies of human reproduction-longevity trade-offs
Helle, S. (2017) · Proceedings of the Royal Society B Biological Sciences · doi:10.1098/rspb.2017.2104 · Cited by 11
Counselor educator workload and burnout in the era of COVID‐19
DeDiego, A. C., McGrath, A. M., Maurya, R. K., & Szepe, A. (2023) · Counselor Education and Supervision · doi:10.1002/ceas.12276 · Cited by 10
C-level managers and born-digitals' scaling: The case of Initial Coin Offerings (ICOs)
Gartner, J., & Moro, A. (2023) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2023.122943 · Cited by 10
Crisis-driven digitalization and academic success across disciplines
Tinjić, D., & Nordén, A. (2024) · PLoS ONE · doi:10.1371/journal.pone.0293588 · Cited by 17
Sampling and collector biases as taphonomic filters: an overview
Battista, F., & Schultz, C. L. (2024) · Anais da Academia Brasileira de Ciências · doi:10.1590/0001-3765202420231242 · Cited by 10
Participation bias in the estimation of heritability and genetic correlation
Song, S., Benónísdóttir, S., Liu, J. S., & Kong, A. (2025) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2425530122 · Cited by 10
New EM-type algorithms for the Heckman selection model
Jun, Z., Kim, H.-J., & Kim, H.-M. (2020) · Computational Statistics & Data Analysis · doi:10.1016/j.csda.2020.106930 · Cited by 10
Berufliche Weiterbildung – theoretische Perspektiven und empirische Befunde
Becker, R., & Hecken, A. E. (2011) · VS Verlag für Sozialwissenschaften eBooks · doi:10.1007/978-3-531-92759-6_13 · Cited by 10
Ha, S., Monadjemi, S., Garnett, R., & Ottley, A. (2022) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2022.3209476 · Cited by 10
Evaluation of the Breaking the Cycle Demonstration Project: Jacksonville, FL and Tacoma, WA
Mitchell, O., & Harrell, A. V. (2006) · Journal of Drug Issues · doi:10.1177/002204260603600105 · Cited by 10
Dumas, T. L., & Haynie, S. L. (2012) · State Politics & Policy Quarterly · doi:10.1177/1532440011433590 · Cited by 10
Work-related Migration and Unemployment
Fendel, T. (2014) · Journal for Labour Market Research · doi:10.1007/s12651-014-0160-7 · Cited by 10
Sociological Traditions in the Study of Mental Health Services Utilization
McAlpine, D. D., & Boyer, C. A. (2007) · Springer eBooks · doi:10.1007/978-0-387-36320-2_15 · Cited by 10
Enhancing the Scope of Experimental Inquiry in Intervention Studies
Cordray, D. S. (2000) · Crime & Delinquency · doi:10.1177/0011128700046003008 · Cited by 10
The Social Journal: Investigating Technology to Support and Reflect on Social Interactions
Sakel, S., Blenk, T., Schmidt, A., & Haliburton, L. (2024) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642411 · Cited by 13
Estimating the emissions potential of marine transportation using the Kra Canal
Tseng, P.-H., & Pilcher, N. (2021) · Maritime Transport Research · doi:10.1016/j.martra.2021.100041 · Cited by 9
What can outliers teach us about entrepreneurial success?
Ruef, M., Birkhead, C., & Aldrich, H. E. (2023) · Journal of Small Business and Enterprise Development · doi:10.1108/jsbed-01-2023-0004 · Cited by 9
Reducing Selection Bias in Analyzing Longitudinal Health Data with High Mortality Rates
Liu, X., Engel, C. C., Kang, H. K., & Gore, K. L. (2010) · Journal of Modern Applied Statistical Methods · doi:10.22237/jmasm/1288584480 · Cited by 9
Synonyms in Health Services Research Methodology
Maciejewski, M. L., Weaver, E. M., & Hebert, P. L. (2010) · Medical Care Research and Review · doi:10.1177/1077558710372809 · Cited by 9
Berufliche Weiterbildung im Arbeitsmarkt
Becker, R. (2018) · Springer eBooks · doi:10.1007/978-3-658-02256-3_9 · Cited by 9
Racial disparities in the proportion of needed services maltreated children received
Cheng, T. C., & Lo, C. C. (2018) · Children and Youth Services Review · doi:10.1016/j.childyouth.2018.09.036 · Cited by 9
Borgen, N. T. (2017) · Sports Medicine · doi:10.1007/s40279-017-0789-9 · Cited by 10
Analyzing Determining Factors of Young Graduates’ Decision to Stay in Lagged Regions
Woo, Y., & Kim, E. (2020) · Sustainability · doi:10.3390/su12083094 · Cited by 9
Do Parents Matter for Student Loan Repayment after Graduation?
Oh, B. (2022) · Socius Sociological Research for a Dynamic World · doi:10.1177/23780231211072683 · Cited by 9
The Health Benefits of College Education in Urban China: Selection Bias and Heterogeneity
Hu, A. (2013) · Social Indicators Research · doi:10.1007/s11205-013-0266-2 · Cited by 9
Religion and Medicalization: The Case of ADHD
Li, K. (2013) · Journal for the Scientific Study of Religion · doi:10.1111/jssr.12023 · Cited by 9
When Random Assignment Is Not Enough: Accounting for Item Selectivity in Experimental Research
Feinberg, F. M., Salisbury, L. C., & Ying, Y. (2016) · Marketing Science · doi:10.1287/mksc.2016.0991 · Cited by 10
Zhang, K., Zhang, J., Huang, B., Schölkopf, B., & Glymour, C. (2016) · Digital Commons - Lingnan (Lingnan University) · Cited by 9
Statistical learning from biased training samples
Clémençon, S., & Laforgue, P. (2022) · Electronic Journal of Statistics · doi:10.1214/22-ejs2084 · Cited by 10
Employment During High School: Consequences for Students' Grades in Academic Courses
Warren, J. R., LePore, P. C., & Mare, R. D. (2001) · Journal of Vocational Education Research · doi:10.5328/jver26.3.366 · Cited by 9
Self-citationRecent Methodological Advances Relevant to Activity and Travel Behaviour Analysis
Bhat, C. R. (2002) · Elsevier eBooks · doi:10.1016/b978-008044044-6/50020-6 · Cited by 9
van den Berg, A., Grift, Y. K., van Witteloostuijn, A. C., Boone, C., & der Brempt, O. V. (2013) · RePEc: Research Papers in Economics · Cited by 9
Lee, Y. H., Kim, H., Hwang, J., & Noh, S. (2024) · JMIR mhealth and uhealth · doi:10.2196/55578 · Cited by 9
Luo, M. (2025) · Research in Social Stratification and Mobility · doi:10.1016/j.rssm.2024.101009 · Cited by 9
Determination of Farmers’ Willingness to Pay for Drought Adaptation Policies in Şanlıurfa, Turkey
Aydoğdu, M. H., Sevinç, M. R., & Cançelik, M. (2021) · Weather Climate and Society · doi:10.1175/wcas-d-20-0163.1 · Cited by 8
Recruitment Strategies in App-Based Travel Surveys: Methodological Explorations
Svaboe, G. B. A., Tørset, T., & Lohne, J. (2021) · Transportation Research Part A Policy and Practice · doi:10.1016/j.tra.2025.104499 · Cited by 8
Estimating the Return to College in Britain Using Regression and Propensity Score Matching
Fan, W. (2011) · Labour · doi:10.1111/j.1467-9914.2011.00533.x · Cited by 8
de Soysa, I. (2019) · Peace Economics Peace Science and Public Policy · doi:10.1515/peps-2019-0011 · Cited by 8
Lee, H., Chang, M., Chou, W., Hwang, J., & Fu, Y.-C. (2022) · Canadian Review of Sociology/Revue canadienne de sociologie · doi:10.1111/cars.12375 · Cited by 8
Success or Self-Sufficiency? The Role of Race in Refugees’ Long-Term Economic Outcomes
Tesfai, R. (2022) · Journal of Refugee Studies · doi:10.1093/jrs/feac066 · Cited by 8
Verhaltensforschung am Point of Sale
Silberer, G. (2009) · doi:10.17875/gup2009-214 · Cited by 8
Haberfeld, Y. (2010) · International Migration · doi:10.1111/j.1468-2435.2010.00603.x · Cited by 8
Differences in Drug Treatment Services Based on Profit Status
Montoya, I. D. (2006) · Journal of Psychoactive Drugs · doi:10.1080/02791072.2006.10399847 · Cited by 8
Kiri, V. A., & MacKenzie, G. (2009) · Current Drug Safety · doi:10.2174/157488609788173008 · Cited by 8
The Risk of Overweight and Obesity among Latter-Day Saints
Mason, P., Xu, X., & Bartkowski, J. P. (2012) · Review of Religious Research · doi:10.1007/s13644-012-0096-8 · Cited by 8
Third party conflict management of transboundary river disputes
Bobekova, E. (2015) · International Journal of Conflict Management · doi:10.1108/ijcma-09-2013-0072 · Cited by 8
Selective mobility, segregation and neighbourhood effects
Boschman, S. (2015) · Architecture and the Built Environment · doi:10.59490/abe.2015.11.996 · Cited by 8
Gottfredson, N. C., Bauer, D. J., Baldwin, S. A., & Okiishi, J. C. (2013) · Journal of Consulting and Clinical Psychology · doi:10.1037/a0034831 · Cited by 8
Žukauskaitė, I., Bagdžiūnienė, D., & Balsienė, R. R. (2019) · Psichologija · doi:10.15388/psichol.2019.3 · Cited by 8
“Be My Guest”: The Link Between Concentrated Poverty, Race, and Family-Level Support
Whitehead, E. M. (2018) · Journal of Family Issues · doi:10.1177/0192513x18776449 · Cited by 8
Traps and Stepping Stones: Neighborhood Dynamics and Family Well-BeingPreprint
Briggs, X. D. S. (2004) · SSRN Electronic Journal · doi:10.2139/ssrn.529082 · Cited by 8
Gangl, M. (2002) · Social Science Open Access Repository (GESIS – Leibniz Institute for the Social Sciences) · Cited by 8
Farmer Field School and Bt cotton in China : an economic analysis
Wu, L. (2010) · Institutional Repository of Leibniz Universität Hannover (Leibniz Universität Hannover) · doi:10.15488/7561 · Cited by 8
Rucks‐Ahidiana, Z. (2016) · American Journal of Cultural Sociology · doi:10.1057/s41290-016-0013-7 · Cited by 7
Jung, J. H., Soo, S. H. J., & Ang, S. (2023) · Journal of Religion and Health · doi:10.1007/s10943-023-01776-w · Cited by 8
Cheung, S. H., Hui, C.-C. H., Lau, E. Y. Y., Cheung, S. F., & Mok, D. S. (2014) · Review of Religious Research · doi:10.1007/s13644-013-0116-3 · Cited by 7
First- and Second-Order Methodological Developments from the Coleman Report
Lucas, S. R. (2016) · RSF The Russell Sage Foundation Journal of the Social Sciences · doi:10.7758/rsf.2016.2.5.06 · Cited by 8
Physical Activity and Future Physical Function: Data From the Osteoarthritis Initiative
Hopkins, C. (2018) · Journal of Aging and Physical Activity · doi:10.1123/japa.2018-0136 · Cited by 7
Buonomo, A., Gabrielli, G., & Strozza, S. (2020) · Societies and political orders in transition · doi:10.1007/978-3-030-36075-7_18 · Cited by 7
Receipt of substance-use services by caregivers involved in the child-welfare system
Cheng, T. C., & Lo, C. C. (2020) · Children and Youth Services Review · doi:10.1016/j.childyouth.2020.104937 · Cited by 7
Mounirou, I. (2020) · Cogent Food & Agriculture · doi:10.1080/23311932.2020.1800237 · Cited by 7
Labor Market Segmentation and Gender Inequality in Cameroon
Ningaye, P. (2014) · International Journal of Business and Economics Research · doi:10.11648/j.ijber.20140302.16 · Cited by 7
Metadata
- Authors
- Winship, C., & Mare, R. D.
- Affiliations
- Northwestern University (US)
- University of Wisconsin–Madison (US)
- ORCID
- Winship, Christopher
- Venue
- Annual Review of Sociology
- Publisher
- Annual Reviews
- Published
- 1992-08
- Volume
- 18
- Issue
- 1
- Pages
- 327-350
- ISSN
- 0360-0572 (ISSN-L)
- 1545-2115
- OpenAlex
- W2011111286
- Cited by
- 812
- References
- 80
- Citations by year
- 2026: 19 · 2025: 17 · 2024: 38 · 2023: 35 · 2022: 39 · 2021: 18 · 2020: 28 · 2019: 15 · 2018: 30 · 2017: 30 · 2016: 34 · 2015: 30 · 2014: 42 · 2013: 42 · 2012: 32
- FWCI
- 8.01
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Annual Review of Sociology (publishedVersion)
- Funders
- National Science Foundation
- National Institutes of Health
- National Institute of Child Health and Human Development
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Spatial and Panel Data Analysis
- Keywords
- sample selection bias, selection model, Tobit model, endogenous switching regression, panel data, treatment effect bounds, labor market, school education, legal procedure, social mobility, social networks
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