Who can work from home? determinants and wage effects of teleworkaccess in the Philippines
| dc.contributor.advisor | Sabarillo, Anthony G. | |
| dc.contributor.author | Palomata, Ivan Georg | |
| dc.contributor.author | Taneo, Tricia Kieth | |
| dc.date.accessioned | 2026-02-26T08:19:15Z | |
| dc.date.available | 2026-02-26T08:19:15Z | |
| dc.date.issued | 2026-01-06 | |
| dc.description.abstract | This study examines the determinants of telework access and associated wage premiums in the Philippine labor market using 2021 FIES-LFS data merged with occupation-level teleworkability indices. Probit analysis reveals that tertiary education is the dominant predictor of telework access, increasing the probability by 27.7 percentage points compared to elementary education. Using OLS, Heckman selection correction, and propensity score matching, the telework wage premium is estimated at 24-35%, with larger effects for women (30.3%) than men (21.8%) and for lower-wage workers (34.2%) compared to higher-wage workers (14.7%). These findings suggest that while telework offers substantial wage benefits, access remains highly stratified by education, potentially exacerbating labor market inequality. | |
| dc.identifier.uri | https://selib.upd.edu.ph/etdir/handle/123456789/5216 | |
| dc.language.iso | en | |
| dc.subject | telework | |
| dc.subject | wage premium | |
| dc.subject | human capital | |
| dc.subject | propensity score matching | |
| dc.subject | Philippines | |
| dc.title | Who can work from home? determinants and wage effects of teleworkaccess in the Philippines | |
| dc.title.alternative | telework, wage premium, human capital, propensity score matching, Philippines | |
| dc.type | Thesis |