The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
Assessing the effect of school days and absences on test score performance
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“Available research on summer learning deficits 17,25 , student absenteeism 26,27 and extreme weather events 28 suggests that learning progress in mathematics is more dependent on formal instruction than in reading.”
From A systematic review and meta-analysis of the evidence on learning during the COVID-19 pandemic (2023) · cites this paper as [26]
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“and Aucejo and Romano (2016) and Gershenson, Jacknowitz, and Brannegan (2017) show that individual absences have significantly worse effects on the outcomes of low-income students.”
From Educational Inequality* (2022) · cites this paper as Aucejo and Romano (2016)
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“They arrive at similar conclusions, suggesting that individual absences have more adverse effects than do shocks affecting an entire class.”
From Educational Inequality* (2022) · cites this paper as Aucejo and Romano (2016)
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Cites
Teachers, Schools, and Academic Achievement
Rivkin, S. G., Hanushek, E. A., & Kain, J. F. (2005) · Econometrica · doi:10.1111/j.1468-0262.2005.00584.x · Cited by 4,501
On the Specification and Estimation of the Production Function for Cognitive Achievement
Todd, P. E., & Wolpin, K. I. (2003) · The Economic Journal · doi:10.1111/1468-0297.00097 · Cited by 1,514
Measuring the Impacts of Teachers I: Evaluating Bias in Teacher Value-Added Estimates
Chetty, R., Friedman, J. N., & Rockoff, J. E. (2014) · American Economic Review · doi:10.1257/aer.104.9.2593 · Cited by 1,241
Card, D., & Krueger, A. B. (1992) · Journal of Political Economy · doi:10.1086/261805 · Cited by 1,147
Generalizations about Using Value-Added Measures of Teacher Quality
Hanushek, E. A., & Rivkin, S. G. (2010) · American Economic Review · doi:10.1257/aer.100.2.267 · Cited by 793
Jacob, B. A. (2005) · Journal of Public Economics · doi:10.1016/j.jpubeco.2004.08.004 · Cited by 751 · cited 2×
“…with the general finding that educational inputs and policy have relatively larger impact on math achievement [Hanushek and Rivkin (2010); Jacob (2005); Rivkin, Hanushek, and Kain (2005)], perhaps because children are more likely to be exposed to reading and literacy outside of school,…”
BackgroundMethodEvaluation of Factors Influencing Student Class Attendance and Performance
Devadoss, S., & Foltz, J. C. (1996) · American Journal of Agricultural Economics · doi:10.2307/1243268 · Cited by 381
Gottfried, M. A. (2010) · American Educational Research Journal · doi:10.3102/0002831209350494 · Cited by 342
The effect of school quality on student performance: A quantile regression approach
Eide, E. R., & Showalter, M. H. (1998) · Economics Letters · doi:10.1016/s0165-1765(97)00286-3 · Cited by 325
Excused versus unexcused: How student absences in elementary school affect academic achievement
Gottfried, M. A. (2009) · Educational Evaluation and Policy Analysis · doi:10.3102/0162373709342467 · Cited by 315
Flagged first, then by citations
Research works printed but not linked: 3
- Balfanz, 2012, Chronic absenteeism: Summarizing what we know from nationally available data, Baltimore, MD: Johns Hopkins University Center for Social Organization of Schools Posted: May
- Balfanz, 2013, Meeting the challenge of combating chronic absenteeism: Impact of the NYC mayor’s interagency task force on chronic absenteeism and school attendance and its implications for other cities, Baltimore, MD: Johns Hopkins School of Education. Posted: December
- Chalkboard Project (2008). A review of research on extended learning time in K-12 schools. Online. http://chalkboardproject.org/images/PDF/Extended%20Learning%20final%20rev.pdf.
Cited by
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Items 201–219 of 219
Additional file 1 of Risk factors for school-based presenteeism in children: a systematic review
Woodland, L., Brooks, S. K., Webster, R. K., Amlôt, R., & Rubin, G. J. (2023) · Figshare · doi:10.6084/m9.figshare.23118949
Additional file 2 of Risk factors for school-based presenteeism in children: a systematic review
Woodland, L., Brooks, S. K., Webster, R. K., Amlôt, R., & Rubin, G. J. (2023) · Figshare · doi:10.6084/m9.figshare.23118952
Missing Classmates and Attendance Patterns in Elementary Schools
Kirksey, J. J., Gottfried, M. A., Ansari, A., & Lansford, T. (2025) · American Educational Research Journal · doi:10.3102/00028312251400716 · Cited by 1
“Specifically, we explored whether absences among lower-achieving classmates, who may demand more substantial support on returning to school, are more likely to generate down-stream absenteeism among peers (Aucejo & Romano, 2016).”
Ansari, A., Woods, S. C., & Gottfried, M. A. (2026) · Educational Policy · doi:10.1177/08959048251401903
“In the past decade, research has expanded on the relations between student absenteeism and educational outcomes, often focusing on total absences (Ansari & Gottfried, 2021; Aucejo & Romano, 2016; Kirksey, 2019; Morrissey et al., 2014; Smerillo et al., 2018).”
Learning Poverty Among Disadvantaged Primary School Students in Rural Areas: A CHAID Analysis
Kızıltaş, Y. (2026) · Psychological Reports · doi:10.1177/00332941261436720
Strickland, K., Chan, W., & Gottfried, M. A. (2026) · Educational Evaluation and Policy Analysis · doi:10.3102/01623737261438146
The role of sanitary pads in school achievement in low-income settings
Patel, A., Axinn, W. G., & Ghimire, D. J. (2026) · Social Science Research · doi:10.1016/j.ssresearch.2026.103395
Public Education in Greece: Insights from the DataPreprint
Goulas, S., & Monachou, F. (2026) · SSRN Electronic Journal · doi:10.2139/ssrn.6978419
Harf, A., Snegaroff, C., Skandrani, S., Grandclerc, S., Minassian, S., Hellier, É., Ludot, M., & Moro, M. R. (2026) · Neuropsychiatrie de l Enfance et de l Adolescence · doi:10.1016/j.neurenf.2026.05.004
Natural disasters and physical health capital loss among school-age children
Yuda, M. (2026) · Economics & Human Biology · doi:10.1016/j.ehb.2026.101628
Asthma management in schools: A tool for reducing absenteeism?
Fitzpatrick, M., Sadowski, K., Chen, C. H., Day, S. E., Konty, K., & Argenio, K. L. (2026) · Economics of Education Review · doi:10.1016/j.econedurev.2026.102813
Causes and Effects of Absenteeism of Students From Lectures and Tutorials on Academic Performance
Ama, N. O., Ama, H. A., & Olaomi, J. O. (2026) · Journal of Educational Studies · doi:10.59915/jes.2026.25.1.3
School-based support staff and chronic absenteeism: Evidence from North Carolina
Komisarow, S. (2026) · Economics of Education Review · doi:10.1016/j.econedurev.2026.102819
Munro, C., & White, M. O. (2026) · Child and Adolescent Social Work Journal · doi:10.1007/s10560-026-01133-2
Long-term effects of online education: Evidence from Kazakhstan’s COVID-19 policy cutoff
Aldashev, A., Batkeyev, B., & Tleuzhanuly, K. (2026) · International Journal of Educational Development · doi:10.1016/j.ijedudev.2026.103657
The mediating role of school absenteeism in the socioeconomic achievement gap
Dräger, J., Klein, M., & Sosu, E. (2026) · Research in Social Stratification and Mobility · doi:10.1016/j.rssm.2026.101202 · Cited by 1
Escobar, R. F., & Font, S. A. (2026) · Social Science Research · doi:10.1016/j.ssresearch.2026.103464
The short- and long-term outcomes of student absenteeism – a systematic literature review
Demir, E. K., & Henrekson, E. (2026) · Educational Research Review · doi:10.1016/j.edurev.2026.100863
Do Students Receiving IEPs Have Stronger School Attendance Records?
Gottfried, M. A., & Peters, S. K. (2026) · Teachers College Record The Voice of Scholarship in Education · doi:10.1177/01614681261498988
“The cumulative effect of lost instructional time can also contribute to disengagement from school and lower achievement (Aucejo & Romano, 2016; Gershenson et al., 2017).”
Metadata
- Authors
- Aucejo, E. M., & Romano, T. F.
- Affiliations
- Arizona State University (US)
- Goucher College (US)
- Corresponding author
- Romano, Teresa Foy
- Venue
- Economics of Education Review
- Publisher
- Elsevier BV
- Published
- 2016-12
- Volume
- 55
- Pages
- 70-87
- ISSN
- 0272-7757 (ISSN-L)
- OpenAlex
- W2117413632
- Semantic Scholar
- 0d5f59a9e033f4263b59a6bd62a1af7517103c85
- Cited by
- 222
- References
- 35
- Citations by year
- 2026: 18 · 2025: 22 · 2024: 25 · 2023: 32 · 2022: 34 · 2021: 28 · 2020: 23 · 2019: 8 · 2018: 11 · 2017: 10 · 2016: 8
- FWCI
- 54.74
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Economics of Education Review (publishedVersion)
- London School of Economics and Political Science Research Online (London School of Economics and Political Science) (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- Economic and Social Research Council (ES/M010341/1)
- Topics
- Social Sciences › Education › School Choice and Performance
- Social Sciences › Education › Youth Substance Use and School Attendance
- Social Sciences › Education › Educational Outcomes and Influences
- Keywords
- school absenteeism, instructional time, standardized testing, student disengagement, achievement gap, North Carolina public schools
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