Pekerti, I.S. (2023) SimJogja: A Spatial Microsimulation Approach to COVID-19 Vulnerability and Impact Assessment of the Local Labour Market. Master thesis.
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Abstract
I build a static spatial microsimulation model, called SimJogja, to evaluate the labour market impact of COVID-19 in the Indonesian province of D.I. Yogyakarta. I argue that current literature overlooks the importance of geography in the investigation of COVID-19’s economic impact. This paper adds to the literature by demonstrating the spatial dependence and heterogeneity through the estimation of population microdata on the village level, downscaling the currently available data and making available one with higher resolution. This paper is also expected to have policy relevance by demonstrating its capability to generate reliable and finely disaggregated simulated data to support geographic targeting, and what-if analysis to provide an ex-ante or ex-post local policy impact assessment. This is the first spatial microsimulation model for Indonesia and the first known use of spatial microsimulation to assess the socioeconomic and labour market impact of COVID-19.
| Item Type: | Thesis (Master) |
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| Degree programme: | Economic Geography: Regional Competitiveness and Trade (track) |
| Supervisor: | Ballas, D. |
| Date Deposited: | 30 Aug 2023 09:26 |
| Last Modified: | 30 Aug 2023 09:26 |
| URI: | https://frw.studenttheses.ub.rug.nl/id/eprint/4350 |
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