Research Fellow in Econometrics & Validation (Hybrid)

London School of Economics and Political Science; Greater London; Hybrid; GBP 54,000 - 62,000; Full time

Benefits offered by this job

Hybrid working

Occupational pension scheme

Training and development opportunities

Job summary

London School of Economics and Political Science (LSE) invites applications for a Research Fellow in Econometrics and Validation within The Inclusion Initiative (TII) in the Department of Psychological and Behavioural Science. The role focuses on leading the quantitative validation of Hub measures and linking firm-level data using panel methods.

You will report to Dr Grace Lordan, assemble external data, test validity and robustness, contribute to peer‑reviewed papers, and be in the London

Qualifications

• PhD in economics, econometrics, quantitative social science or closely related field.
• Solid background in applied econometrics, especially panel data methods.
• Track record or trajectory of peer-reviewed publications.
• Expertise in diversity and inclusion research, including race and ethnicity in workplace contexts.
• Experience constructing/linking large firm-level datasets from multiple sources and using advanced programming.

Responsibilities

• Lead quantitative validation of the Hub's measures and write findings for publication.
• Assemble/link firm-level data from external sources (financial performance, workforce, governance).
• Establish relationships between Hub measures and other variables using panel methods across multi-year data.
• Test construct validity, robustness and stability; propose improvements and contribute to peer-reviewed papers.

Skills

Econometrics

Panel data

Publications

Diversity & inclusion

Firm-level data

Stata/R/Python

Education

PhD in economics, econometrics, quantitative social science or related

Tools

Stata

R

Python

Job description

London School of Economics and Political Science (LSE) invites applications for a Research Fellow in Econometrics and Validation within The Inclusion Initiative (TII) in the Department of Psychological and Behavioural Science. The role focuses on leading the quantitative validation of Hub measures and linking firm-level data using panel methods.

You will report to Dr Grace Lordan, assemble external data, test validity and robustness, contribute to peer‑reviewed papers, and be in the London