Report 2 on COVID Dynamics (Without Telework Index)

Abstract

This is a supervised student-research deliverable from the COVID-19 pandemic-resilience research line. The work was completed under supervision as part of a Master of Analytics project and contributed exploratory analysis to the broader research programme on telework, lockdown stringency, and household financial / mental-health outcomes during the 2020–2021 pandemic period.

The deliverable applies a classical identification stack — difference-in-differences around pandemic-onset windows, OLS regression, logit estimation, and probit estimation — to a subset of the Open Science Framework COVID-19 individual-level survey. The student work identified directional contributions of selected covariates and provided parameter-estimate interpretations and goodness-of-fit assessments.

The deliverable does not stand alone as an independent publication candidate. Its findings are harvested into the companion working paper, 'Work From Home, Worry Less? Telework, Lockdowns, and Anxiety Across 151 Countries' (Tier C, primary target Health Economics), which uses the full 113,083-respondent OSF sample across 151 countries merged with Johns Hopkins case counts and Oxford Stringency Index data, and applies a more complete identification design including country fixed-effects, GMM dynamic-panel estimation, quantile regression, and Oaxaca-Blinder decomposition.

The deliverable is included in the research-programme listing for completeness and methodological transparency about the upstream student work that fed into the working paper. It documents one strand of the supervised-student pipeline that produces the empirical evidence base for the broader pandemic-resilience research line, and demonstrates the supervision approach: students explore subset-level analyses on shared data, and the supervisor integrates the findings into the full-sample working paper with co-author attribution as appropriate.

Data & Methods