eprintid: 4350
rev_number: 5
eprint_status: archive
userid: 1
dir: disk0/00/00/43/50
datestamp: 2023-08-30 09:26:19
lastmod: 2023-08-30 09:26:19
status_changed: 2023-08-30 09:26:19
type: thesis
metadata_visibility: show
sword_depositor: 1
creators_name: Pekerti, I.S.
creators_id: S4618602
creators_email: satya.immanuel@gmail.com
title: SimJogja: A Spatial Microsimulation Approach to COVID-19 Vulnerability and Impact Assessment of the Local Labour Market
ispublished: unpub
full_text_status: public
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.
date: 2023
pages: 30
thesis_type: master
degree_programme: EG_RCT
tutors_name: Ballas, D.
tutors_organization: Fac. Ruimtelijke wetenschappen, Basiseenheid Economische Geografie
tutors_email: D.Ballas@rug.nl
security: public
keywords_local: spatial microsimulation
keywords_local: COVID-19
keywords_local: local labour market
keywords_local: Yogyakarta
language_iso: en
date_issued: 2023-08-30
citation:   Pekerti, I.S.  (2023) SimJogja: A Spatial Microsimulation Approach to COVID-19 Vulnerability and Impact Assessment of the Local Labour Market.  Master thesis.   
document_url: https://frw.studenttheses.ub.rug.nl/4350/1/frwtheses_submission_ispekerti.pdf