Study | Niimi (2018): study JP 2013 |
Title | What Affects Happiness Inequality? Evidence from Japan. |
Source | Journal of Happiness Studies, 2018, Vol. 19, 521 - 543 |
URL | https://doi .org/l 0.1007 /s10902-016-9835-9 |
Public | 20-69 aged, general public, Japan, 2013 |
Sample | Probability stratified sample |
Non-Response | |
Respondents N = | 3257 |
Correlate | |
Author's label | Married vs. never married |
Page in Source | 531-535 |
Our classification | Married vs never married, code M02aa01 |
Operationalization | 1 Married 0 Never married |
Observed distribution | Married 82%; never married: 9 % (no longer married 8%) |
Observed Relation with Happiness | ||
Happiness Measure | Statistics | Elaboration/Remarks |
D-LS-c-sq-n--a | b-rif=-2.0 p < .01 | b-rif= -2.015 b-rif controlled for: - age - gender - education - poor health - having a child - household size - household income - homeownership - has loans - unemployed - not in labor force - altruistic - risk lover - low time preference - major city |
D-LS-c-sq-n--a | b-rif=-1.9 p < .01 | b-rif= -1.934 b-rif additionally controlled for: - irregular job - likely unemployed - public pensions |
D-LS-c-sq-n--a | b-rif=-1.8 p < .01 | b-rif= -1.776 b-rif additionally controlled for: - relatively poor - relatively rich |
Code | Full Text |
D-LS-c-sq-n--a | Standard deviation of 0-10 score on single question "overall, how happy would you say you are currently?" |
Symbol | Explanation |
b-rif | Least square regression coefficient in RIF-regression, where the dependent variable is th influence on a distributionakl statistic (f.e. variance, GINI) |