Intergenerational mobility in education
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Database Specific
Database Specific
Abstract
Abstract

The data presented in this table are addressing intergenerational mobility in education by looking at educational attainment of adults by age group and gender, taking into account parents educational attainment. To go further, intergenerational mobility in education can present results by parents' educational attainment and immigrant status.

Data Characteristics
Data Characteristics
Contact person
Contact person
Other data characteristics
Other data characteristics

Further detail as to the methodology used during the data collection for each indicator, the references to the sources and the specific notes for each country are available in:

Concepts & Classifications
Concepts & Classifications
Other Aspects
Other Aspects

When interpreting the results and the differences between groups a special attention should be given to the standard errors and the confidence interval.

Recommended uses and limitations
Recommended uses and limitations

The statistical estimates presented in this table are based on samples of adults, rather than values that could be calculated if every person in the target population in every country had answered every question. Therefore, each estimate has a degree of uncertainty associated with sampling and measurement error, which can be expressed as a standard error. The use of confidence intervals provides a way to make inferences about the population means and proportions in a manner that reflects the uncertainty associated with the sample estimates. In this table, there is one column with the heading “Value”, which indicates the average percentage or mean, and a column with the heading “SE”, which indicates the standard error. Given the survey method, there is a sampling uncertainty in the percentages or means of twice the standard error. For example, for the values: % = 10 and S.E. = 2.6, 10% has an uncertainty zone of twice (1.96) the standard error of 2.6, assuming an error risk of 5%. Thus, the true percentage would probably (error risk of 5%) be somewhere between 5% and 15% (“confidence interval”). The confidence interval is calculated as: % +/– 1.96 * S.E., i.e. for the previous example, 5% = 10% – 1.96 * 2.6 and 15% = 10% + 1.96 * 2.6.

Intergenerational mobility in educationAbstract

The data presented in this table are addressing intergenerational mobility in education by looking at educational attainment of adults by age group and gender, taking into account parents educational attainment. To go further, intergenerational mobility in education can present results by parents' educational attainment and immigrant status.

Data source(s) used

Data are coming from the Survey of Adult Skills, a product of the OECD Programme for the International Assessment of Adult Competencies (PIAAC). By clicking on the "Survey of Adult Skills" link and downloading the Public User File (PUF), you can access the data from Ecuador, Hungary, Kazakhstan, Mexico, Peru and the United States. These countries participated in Round 3 and their latest data refer to year 2017.

Survey of Adult Skills (PIAAC)http://www.oecd.org/skills/piaac/
Contact personOther data characteristics

Further detail as to the methodology used during the data collection for each indicator, the references to the sources and the specific notes for each country are available in:

Annex 3 - Education at a Glancehttps://www.oecd-ilibrary.org/education/education-at-a-glance-2018/sources-methods-and-technical-notes_eag-2018-36-en
Key statistical concept

Key statistical concepts, definitions and methodologies underlying the indicators are available in the:

OECD Handbook for Internationally Comparative Education Statisticshttps://www.oecd-ilibrary.org/education/oecd-handbook-for-internationally-comparative-education-statistics-2018_9789264304444-en
Classification(s) used

For data from the Survey of Adults Skills, educational attainment variables are based on ISCED-97. For other data sources, educational attainment variables are based on ISCED 2011.

Other manipulations

Data are not diplayed when the sample size for numerator is below 3 and when the sample size for denominator is below 30.

Recommended uses and limitations

The statistical estimates presented in this table are based on samples of adults, rather than values that could be calculated if every person in the target population in every country had answered every question. Therefore, each estimate has a degree of uncertainty associated with sampling and measurement error, which can be expressed as a standard error. The use of confidence intervals provides a way to make inferences about the population means and proportions in a manner that reflects the uncertainty associated with the sample estimates. In this table, there is one column with the heading “Value”, which indicates the average percentage or mean, and a column with the heading “SE”, which indicates the standard error. Given the survey method, there is a sampling uncertainty in the percentages or means of twice the standard error. For example, for the values: % = 10 and S.E. = 2.6, 10% has an uncertainty zone of twice (1.96) the standard error of 2.6, assuming an error risk of 5%. Thus, the true percentage would probably (error risk of 5%) be somewhere between 5% and 15% (“confidence interval”). The confidence interval is calculated as: % +/– 1.96 * S.E., i.e. for the previous example, 5% = 10% – 1.96 * 2.6 and 15% = 10% + 1.96 * 2.6.