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 | Household income |
Page in Source | 534-535,541 |
Our classification | Household income , code I01ab03 |
Operationalization | Selfreport on a single question, afterwards categorized (in millions of yen): 1 < 1 2 1-2 3 2-4 4 4-6 5 6-8 6 8-10 7 10-12 8 12-14 9 14-16 10 16-18 11 18-20 . . . 20 >= 20 Then divided (in 10.000 yen) by the number of household members and taken it's natural logarithm |
Observed Relation with Happiness | ||
Happiness Measure | Statistics | Elaboration/Remarks |
D-LS-c-sq-n--a | b-rif=-.80 p < .01 | b-rif controlled for: - age - gender - marital status - has child(ren) - education - household size - poor health - homeownership - has loans - unemployed - not in labor force - altruistic - risk lover - low time preference - major city |
D-LS-c-sq-n--a | b-rif=-.60 p < .01 | b-rif additionally controlled for: - irregular job - likely unemployed - public pension |
D-LS-c-sq-n--a | b-rif=-.47 p < .01 | 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) |