Analysis of group performance with categorical data when agents are heterogeneousThe case of compulsory education in the OECD

  1. Carmen Herrero Blanco 1
  2. Ildefonso Méndez Martínez 2
  3. Antonio Villar Notario 3
  1. 1 Universitat d'Alacant
    info

    Universitat d'Alacant

    Alicante, España

    ROR https://ror.org/05t8bcz72

  2. 2 Universidad de Murcia
    info

    Universidad de Murcia

    Murcia, España

    ROR https://ror.org/03p3aeb86

  3. 3 Universidad Pablo de Olavide
    info

    Universidad Pablo de Olavide

    Sevilla, España

    ROR https://ror.org/02z749649

Revista:
Working papers = Documentos de trabajo: Serie AD

Año de publicación: 2013

Número: 8

Páginas: 1-24

Tipo: Documento de Trabajo

Resumen

This paper analyses the evaluation of the relative performance of a set of groups when their outcomes are defined in terms of categorical data and the groups’ members are heterogeneous. This type of problem has been dealt with in Herrero and Villar (2012) for the case of a homogenous population. Here we expand their model controlling for heterogeneity by means of inverse probability weighting techniques. We apply this extended model to the analysis of compulsory education in the OECD countries, using the data in the PISA. We evaluate the relative performance of the different countries out of the distribution of the students’ achievements across the different levels of competence, controlling by the students’ characteristics (explanatory variables regarding schooling and family environment). We find that differences in reading ability across OECD countries would lower by 35% if their endowment of students’ characteristics would be that for the OECD average.