| Study | Pfeifer (2013): study DE 2003 |
| Title | Life Satisfaction and the Consumption Values of Partners and Friends: Empirical Evidence from German Panel Survey Data. |
| Source | Economics Bulletin, 2013, Vol. 33, 3131 - 3142 |
| URL | http://econpapers.repec.org/article/eblecbull/eb-13-00787.htm |
| Public | 16+ aged general public, Germany, followed 5 years, 2003-2008 |
| Sample | Probability multi-stage cluster sample |
| Non-Response | |
| Respondents N = | 9972 |
| Correlate | |
| Author's label | Employment status |
| Page in Source | Table 2 |
| Our classification | Current employment status |
| Operationalization | Employment status: a) non-employedt (reference group) b) unemployed c) employed |
| Observed distribution | Mean (S.D) b) unemployment: 0.0737 (0.1521) c) employment: 0.7078 (0.2216) |
| Observed Relation with Happiness | ||
| Happiness Measure | Statistics | Elaboration/Remarks |
| O-SLW-c-sq-n-11-d | b-fix=-.55 p < .01 | b) Unemployed (vs non-employed) |
| O-SLW-c-sq-n-11-d | b-fix=+.07 p < .10 | c) Employed (vs non-employed) b's controlled for: - marital status - number of close friends - number of persons in household - german citizenship - age - subjective health-status - employment status - educational career - year dummy 2008 - regions |
| Code | Full Text |
| O-SLW-c-sq-n-11-d | Selfreport on single question: Taking all things together, how satisfied are you with your life these days? Please answer with the help of this scale. For instance, when you are totally satisfied with your life, please tick '10'. When you are totally unsatisfied with your life, please tick '0'. You may use all values in between to indicate that you are neither totally satisfied nor totally unsatisfied." 10 totally satisfied 9 8 7 6 5 4 3 2 1 0 totally unsatisfied |
| Symbol | Explanation |
| b-fix | REGRESSION COEFICIENT in fixed effects analysis Type: test statistic WDH symbol: b-fix Primary correlate level: metric Secondary correlate level: nonmetric Happiness level: metric Theoretical range: unlimited Meaning: Variant of usual (non-standardized) regression coefficient (b), which controls for the secondary variables, by focusing on differences from a fixed level, such as the mean in a category. Aims to reduce the residual variance and to improve the precision of the regression coefficient. References: Wikipedia: http://en.wikipedia.org/wiki/Fixed_effects_model Non-technical text: http://www.jblumenstock.com/files/courses/econ174/FEModels.pdf |