We use the PISA student-level achievement database to estimate international education production functions. Student characteristics, family backgrounds, home inputs, resources, teachers and institutions are all significantly related to math, science and reading achievement. Our models account...

We use the PISA student-level achievement database to estimate international education production functions. Student characteristics, family backgrounds, home inputs, resources, teachers and institutions are all significantly related to math, science and reading achievement. Our models account...

We use the PISA student-level achievement database to estimate international education production functions. Student characteristics, family backgrounds, home inputs, resources, teachers and institutions are all significantly related to math, science and reading achievement. Our models account...

We use the PISA student-level achievement database to estimate international education production functions. Student characteristics, family backgrounds, home inputs, resources, teachers and institutions are all significantly related to math, science and reading achievement. Our models account...

This volume of PISA 2009 results examines how human, financial and material resources, and education policies and practices shape learning outcomes. Following an introduction to PISA and a Reader's Guide explaining how to interpret the data, Chapter 1 presents a summary of features shared by...

This paper analyses the impact of family background, gender and cohort on educational attainment in France and Germany, relying on a theoretical model imbedded in the human capital theory. In a second step, the educational process is decomposed into school and post-school achievement. The same...