Research Report — Student ID 20016249

Abstract

This is a supervised student-research report (student ID 20016249) from the broader pandemic and telework research line. The work was completed under supervision as part of a postgraduate analytics project and applied classical identification methods — difference-in-differences, OLS regression, and probit estimation — to a pandemic-period dataset.

The report investigated the relationship between selected demographic, employment, and pandemic-stringency variables and a behavioural or financial outcome. Specific findings include directional contributions of selected covariates and the standard parameter-estimate interpretations expected from a master's-level analytics project. The deliverable is structured around a research-report style rather than an academic-manuscript style and is not intended for independent submission.

The exploratory findings are harvested into the appropriate companion working paper in the pandemic / telework research line: 'Work From Home, Worry Less? Telework, Lockdowns, and Anxiety Across 151 Countries' for the cross-country anxiety analysis, or 'Financial Wellbeing and Teleworking Ability — Empirical Evidence from New Zealand's Labour Force during COVID-19' for the NZ-specific labour-market analysis. Both companion papers extend the underlying analysis with more complete identification designs (country fixed-effects + GMM dynamic-panel for the international paper; Council for Financial Capability NZ-representative sample for the NZ paper).

The deliverable is included in the research-programme listing for methodological transparency about the supervised-pipeline approach. It documents one strand of the student-research workflow that produces the empirical evidence base for the broader pandemic-resilience and telework research lines. As with the companion student deliverable in this set, the work serves the larger working-paper programme rather than standing as an independent publication candidate.

Data & Methods