Open AccessImplementing ordinal regression model for analyzing happiness level in Indonesia
Author(s) -
Noviana Pratiwi,
KISMIANTINI KISMIANTINI
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1320/1/012015
Subject(s) - happiness , ordinal regression , ordered logit , psychology , marital status , social psychology , life satisfaction , general social survey , subjective well being , regression analysis , indonesian , ordered probit , demography , sociology , econometrics , economics , statistics , mathematics , population , linguistics , philosophy
Happiness can be an indicator of social progress achievement in developing a country. Understanding factors affecting the level of happiness in a country become important in the study of subjective well-being. This study aims to determine factors that influence happiness in Indonesia using the fifth wave of Indonesian Family Life Survey (IFLS) data. From the national data of 29,336 participants in 13 provinces were reported that 13.4% of the participants responded they were very happy, 78.6% were happy, 7% were unhappy, and 1% were very unhappy. Ordinal regression models in particular proportional odds models were implemented on analyzing factors of the four levels of happiness. The significant variables associated with happiness were age, marital status, job status, education, satisfaction, economic level, health, and religious variables. Sex, hopeful, personality, and social relation were not significantly associated with people’s happiness. Happy people have higher probabilities of happiness than others. Very happy appeared to have lower probabilities of happiness as their ages increasing, while in contrast to unhappy and very unhappy people.