Design, programme, and pilot discrete choice experiment (DCE) survey instruments for both employer and employee modules, including attribute selection, experimental design optimisation, and Qualtrics implementation.
Coordinate data collection with SNEF and survey vendors; manage survey distribution, monitor response rates, and ensure data quality through attention and consistency checks.
Clean, process, and manage survey data; conduct econometric analysis including conditional logit, mixed logit, and latent class models to estimate willingness-to-pay and willingness-to-accept for flexible work arrangements.
Conduct literature reviews, assist in preparing research manuscripts for submission to academic journals, and contribute to policy briefs and presentations for stakeholders.
Qualifications
Bachelor's degree (Honours) or Master's degree in Economics, Statistics, Public Policy, or a related quantitative social science discipline.
Candidates with a Master's degree or coursework in econometrics, microeconomics, or labour economics are preferred.
Proficiency in Stata, R, or Python for econometric analysis and data management.
Strong foundation in microeconometrics.
Excellent written and oral communication skills in English; ability to produce clear research documentation and contribute to academic writing.
