Cross-sectional learning assessments: comparability of regression coefficients and validity of difference-in-difference estimation to evaluate institutional effects
Dalit Contini ()
Additional contact information
Dalit Contini: University of Turin, http://www.est.unito.it/
Department of Economics and Statistics Cognetti de Martiis. Working Papers from University of Turin
Abstract:
The way achievement inequalities among socio-demographic groups develop throughout childhood in different institutional contexts is a matter of great interest from a policy perspective. Yet, international l earning assessments, like many national studies, are cross-sectional and non-vertically-equated (i.e. achievement i s not measured on a unique scale in different surveys at different age or grades). Against this background, the aim of this paper is twofold. First, I show that the comparison of regression coefficients with non -vertically-equated achievement scores as dependent variables does not convey much information on the development of disparities related to specific individual characteristic, even when applied to standardized scores. On these grounds, I question the validity of difference in difference estimation whose fundamental element is the comparison of regression coefficients between two non equated learning assessments administered at different grades for the evaluation of the impact of institutional features on achievement inequalities related to ascribed individual characteristics like gender or socioeconomic background.
Pages: 26 pages
Date: 2014-10
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.est.unito.it/do/home.pl/Download?doc=/a ... 14dip/wp_31_2014.pdf (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:uto:dipeco:201431
Access Statistics for this paper
More papers in Department of Economics and Statistics Cognetti de Martiis. Working Papers from University of Turin Contact information at EDIRC.
Bibliographic data for series maintained by Laura Ballestra () and Cinzia Carlevaris ().