Arbeitspapier

Ethnicity differentials in academic achievements: The role of time investments

Children of Asian immigrants in most English-speaking destinations have better academic outcomes, yet the underlying causes of their advantages are under-studied. We employ panel time-use diaries by two cohorts of children observed over a decade to present new evidence that children of Asian immigrants begin spending more time than their peers on educational activities from school entry; and, that the ethnicity gap in the time allocated to educational activities increases over time. By specifying an augmented value-added model and invoking a quantile decomposition method, we find that the academic advantage of children of Asian immigrants is attributable mainly to their allocating more time to educational activities or their favorable initial cognitive abilities and not to socio-demographics or parenting styles. Furthermore, our results show substantial heterogeneity in the contributions of initial cognitive abilities and time allocations by test subjects, test ages and points of the test score distribution.

Sprache
Englisch

Erschienen in
Series: GLO Discussion Paper ; No. 481

Klassifikation
Wirtschaft
Single Equation Models; Single Variables: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions
Education and Research Institutions: General
Fertility; Family Planning; Child Care; Children; Youth
Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
Time Allocation and Labor Supply
Thema
Migration
Education
Test Score Gap
Time Use Diary
Quantile Regression
Second-generation Immigrants
Australia

Ereignis
Geistige Schöpfung
(wer)
Nguyen, Ha Trong
Connelly, Luke B.
Le, Huong Thu
Mitrou, Francis
Taylor, Catherine L.
Zubrick, Stephen R.
Ereignis
Veröffentlichung
(wer)
Global Labor Organization (GLO)
(wo)
Essen
(wann)
2020

Handle
Letzte Aktualisierung
10.03.2025, 11:42 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Arbeitspapier

Beteiligte

  • Nguyen, Ha Trong
  • Connelly, Luke B.
  • Le, Huong Thu
  • Mitrou, Francis
  • Taylor, Catherine L.
  • Zubrick, Stephen R.
  • Global Labor Organization (GLO)

Entstanden

  • 2020

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