Longitudinal Education Outcomes Dataset Analysis

Abstract

This report provides an analysis of the Longitudinal Education Outcomes (LEO) dataset, a de-identified person-level administrative dataset that connects individuals' education data with their employment, benefits, and earnings data. The LEO standard extract is a relational database that enables researchers to assess education policy and provision with greater accuracy.

Contents

  1. Introduction
  2. Methods
  3. Results
  4. Discussion
  5. Conclusion

Introduction

The Longitudinal Education Outcomes (LEO) dataset is a valuable resource for researchers to study the relationship between education and labor market outcomes. The LEO standard extract is a relational database that provides a comprehensive view of individuals' education and employment trajectories. This report aims to provide an overview of the LEO dataset and its potential applications in education research.

Methods

To access the LEO standard extract, researchers must apply through the Office for National Statistics Secure Research Service (ONS SRS). The application process involves several stages, including an initial review, scrutiny by the Department for Education, HM Revenue and Customs, and the Department for Work and Pensions, and final accreditation by the Research Accreditation Panel. Researchers must demonstrate a clear public benefit and commit to publishing their research outcomes.

Results

The LEO standard extract provides a rich source of data for researchers to analyze the relationship between education and labor market outcomes. The dataset includes variables such as education attainment, employment status, earnings, and benefits. Researchers can use this data to study the impact of education policy and provision on labor market outcomes, such as the effect of university attendance on earnings.

Table 1: Example variables in the LEO standard extract
Variable Description Example values
Education attainment Level of education attained GCSE, A-level, degree
Employment status Current employment status Employed, unemployed, self-employed
Earnings Current earnings £20,000, £30,000, £40,000

Discussion

The LEO standard extract provides a unique opportunity for researchers to study the relationship between education and labor market outcomes. The dataset can be used to evaluate the effectiveness of education policies and programs, such as the impact of university attendance on earnings. However, researchers must be aware of the limitations of the data, such as the potential for selection bias and the need for careful data cleaning and analysis.

The LEO standard extract can be used to estimate the return on investment (ROI) of education, using the following equation:

\[ ROI = \frac{Earnings_{post-education} - Earnings_{pre-education}}{Cost_{education}} \]

This equation can be used to estimate the ROI of different education pathways, such as the ROI of attending university versus not attending university.

Conclusion

In conclusion, the LEO standard extract is a valuable resource for researchers to study the relationship between education and labor market outcomes. The dataset provides a comprehensive view of individuals' education and employment trajectories, and can be used to evaluate the effectiveness of education policies and programs. However, researchers must be aware of the limitations of the data and use careful data cleaning and analysis techniques to ensure accurate results.