How does relative income affect mental health within a developing country? The case of Indonesia
This study is amongst the first to research the relationship between relative income (relative expenditure and relative wealth) and mental health in a developing country, Indonesia, utilising data from the Indonesian Family Life Survey (IFLS) across 2007 and 2014. The Correlated Random Effects (CRE)...
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2024
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sg-ntu-dr.10356-1748462024-04-21T15:32:21Z How does relative income affect mental health within a developing country? The case of Indonesia Sng, Francesca Min Haajar Binte Arman Ng, Xiangqi Nattavudh Powdthavee School of Social Sciences nick.powdthavee@ntu.edu.sg Social Sciences Economics Mental health Relative income This study is amongst the first to research the relationship between relative income (relative expenditure and relative wealth) and mental health in a developing country, Indonesia, utilising data from the Indonesian Family Life Survey (IFLS) across 2007 and 2014. The Correlated Random Effects (CRE) Mundlak Transformation model, which was built-up from several other regression models, was employed. Results showed that relative expenditure and relative wealth yielded a positive and negative relationship with the mental health score respectively, where the higher the score, the higher the levels of depression experienced by the respondent. This study also conducted four further angles of analysis (gender, geographical residence, ranking, Subjective Well-Being (SWB)). Through the analysis, policymakers can consider adopting more targeted awareness campaigns and tax regimes for wealth redistribution. Bachelor's degree 2024-04-15T02:26:39Z 2024-04-15T02:26:39Z 2024 Final Year Project (FYP) Sng, F. M., Haajar Binte Arman & Ng, X. (2024). How does relative income affect mental health within a developing country? The case of Indonesia. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/174846 https://hdl.handle.net/10356/174846 en HE1AY2324_04 application/pdf Nanyang Technological University |
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Social Sciences Economics Mental health Relative income Sng, Francesca Min Haajar Binte Arman Ng, Xiangqi How does relative income affect mental health within a developing country? The case of Indonesia |
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This study is amongst the first to research the relationship between relative income (relative expenditure and relative wealth) and mental health in a developing country, Indonesia, utilising data from the Indonesian Family Life Survey (IFLS) across 2007 and 2014. The Correlated Random Effects (CRE) Mundlak Transformation model, which was built-up from several other regression models, was employed. Results showed that relative expenditure and relative wealth yielded a positive and negative relationship with the mental health score respectively, where the higher the score, the higher the levels of depression experienced by the respondent. This study also conducted four further angles of analysis (gender, geographical residence, ranking, Subjective Well-Being (SWB)). Through the analysis, policymakers can consider adopting more targeted awareness campaigns and tax regimes for wealth redistribution. |
author2 |
Nattavudh Powdthavee |
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Nattavudh Powdthavee Sng, Francesca Min Haajar Binte Arman Ng, Xiangqi |
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Final Year Project |
author |
Sng, Francesca Min Haajar Binte Arman Ng, Xiangqi |
author_sort |
Sng, Francesca Min |
title |
How does relative income affect mental health within a developing country? The case of Indonesia |
title_short |
How does relative income affect mental health within a developing country? The case of Indonesia |
title_full |
How does relative income affect mental health within a developing country? The case of Indonesia |
title_fullStr |
How does relative income affect mental health within a developing country? The case of Indonesia |
title_full_unstemmed |
How does relative income affect mental health within a developing country? The case of Indonesia |
title_sort |
how does relative income affect mental health within a developing country? the case of indonesia |
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Nanyang Technological University |
publishDate |
2024 |
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https://hdl.handle.net/10356/174846 |
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1814047332415569920 |