Autori:
Grand, Elisa ,
Dalit, Contini Titolo:
On Estimating Achievement Dynamic Models from Repeated Cross-SectionsPeriodico:
Università degli studi di Torino. Dip. Di Economia e Statistica Cognetti de Martiis. Working paper seriesAnno:
2013 - Volume:
9 - Fascicolo:
43 - Pagina iniziale:
1 - Pagina finale:
29Despite the increasing spread of standardized assessments of student learning, longitudinal achievement
data are still lacking in many countries. This article raises the following question: can we exploit cross-sectional
assessments held at different schooling stages to evaluate how achievement inequalities related to individual
ascribed characteristics develop over time? We discuss the issues involved in estimating dynamic models from repeated
cross-sectional surveys and, consistently with a simple learning accumulation model, we propose an imputed regression
strategy that allows to “link” two surveys and deliver consistent estimates of the parameters of interest.
We then apply the model to Italian achiev ement data of 5th and 6th graders and investigate how inequalities
develop between primary and lower secondary school
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