The educational production function: the possible bias in estimating institutional effects with PISA data. The case of full-time schools

In the present study the estimation of a Production Function is discussed
Educational with information from the PISA database (Program for International
Student Assessment) 2006 from Uruguay. First a method is established
to control the eventual selection bias due to the unobservability of the
dropout students of the education system. Secondly the problem is discussed
of endogeneity of some variables whose effect is of interest from the point
of view of educational policy. In particular, evidence on the
inconsistency of the OLS estimator of the effect of “having attended a school
Full-time during primary education ”, concluding that from the
PISA information can not infer a negative causal effect between the
Attendance at a full-time school and the skills assessed, such as
suggested by the OLS estimate of an Educational Production Function with
Said information base.

Descargar/download

Más vistos

Economic complexity of goods and services in Uruguay

Complejidad económica uruguaya en bienes y servicios The objective of this work was to explore the recent history and diagnosis of the complexity of Uruguay's...

The Impact of a Mathematics Computer‐Assisted Learning Platform on Students’ Mathematics Test Scores

Marcelo Perera Diego Aboal   Abstract Since 2013, the Uruguayan educational system has been using an online adaptive learning tool for mathematics: The Mathematics Adaptive Platform (PAM for its...

Knowledge networks for innovation in the forestry sector: Multinational companies in Uruguay

Diego Aboal, FLavia Rovira y Federico Veneri. Abstract In this paper, we analyse the role that inter-agency and inter-business linkages have in the process of technological...

Discovering specific common trends in a large set of disaggregates: statistical procedures, their properties and an empirical application

Author: Guillermo Carlomagno: Central Bank of Chile and Center of Economic Research (CINVE) Antoni Espasa: Department of Statistics and Instituto Flores de Lemus, University Carlos III...

A guide for the evaluation of programs of human capital training for science, technology and innovation

Author: Diego Aboal, Marcelo Perera, Ezequiel Tacsir & Maren Vairo Abstract: We provide a practical guide for impact evaluation of Training and Human Capital programs in Science...

Noticias relacionadas