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Individual determinants of job satisfaction among young adults in Poland

,  and   
Mar 31, 2025

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Description of the variables

Dimension Variable Description Mean Standard deviation Scale
Dependent variable To what extent are you satisfied with your job?
JOB_SAT_1 1: Very dissatisfied 0.063 0.243 Binomial
JOB_SAT_2 2 0.086 0.280 Binomial
JOB_SAT_3 3 0.368 0.483 Binomial
JOB_SAT_4 4 0.316 0.466 Binomial
JOB_SAT_5 5: Very satisfied 0.168 0.374 Binomial
Economic How do you rate your wealth (material resources, e.g., computer, car, apartment)?
WEALTH_LESS_2179_EURO Less than 2,179 EUR 0.319 0.467 Binomial
WEALTH_2179-4357_EURO Between 2,179 EUR and 4,357 EUR 0.217 0.413 Binomial
WEALTH_4357-10893_EURO Between 4,357 EUR and 10,893 EUR 0.174 0.380 Binomial
WEALTH_10893-21787_EURO Between 10,893 EUR and 21,787 EUR 0.135 0.342 Binomial
WEALTH_21787-43573_EURO Between 21,787 EUR and 43,573 EUR 0.069 0.254 Binomial
WEALTH_OVER_43573_EURO Over 43,573 EUR 0.086 0.280 Binomial
What is your approximate monthly net income (from all sources combined)?
NET_INC_0-218_EURO Below 218 EUR 0.145 0.352 Binomial
NET_INC_218-436_EURO Between 218 EUR and 436 EUR 0.237 0.426 Binomial
NET_INC_436-654_EURO Between 436 EUR and 654 EUR 0.319 0.467 Binomial
NET_INC_654-871_EURO Between 654 EUR and 871 EUR 0.201 0.401 Binomial
NET_INC_871 + EURO Over 871 EUR 0.099 0.299 Binomial
What is the approximate monthly disposable net income (from all sources combined) per person in a household?
NET_INC_PERS_0-218_EURO Below 218 EUR 0.115 0.320 Binomial
NET_INC_PERS_218-436_EURO Between 218 EUR and 436 EUR 0.326 0.469 Binomial
NET_INC_PERS_436-654_EURO Between 436 EUR and 654 EUR 0.286 0.453 Binomial
NET_INC_PERS_654-871_EURO Between 654 EUR and 871 EUR 0.165 0.371 Binomial
NET_INC_PERS_871 + EURO Over 871 EUR 0.109 0.312 Binomial
I am satisfied with the wage I received, taking into account my qualifications, experience, and commitment
WAGE_SAT_1 1: Strongly disagree 0.151 0.359 Binomial
WAGE_SAT_2 2 0.135 0.342 Binomial
WAGE_SAT_3 3 0.306 0.462 Binomial
WAGE_SAT_4 4 0.257 0.438 Binomial
WAGE_SAT_5 5: Strongly agree 0.141 0.349 Binomial
Socio-demographic Education level:
EDU_PRIMARY Primary 0.020 0.139 Binomial
EDU_JUNIOR_HIGH_SCHOOL Junior high school 0.043 0.203 Binomial
EDU_VOCATIONAL Vocational 0.141 0.349 Binomial
EDU_SECONDARY Secondary 0.523 0.500 Binomial
EDU_HIGHER Higher 0.273 0.446 Binomial
Education profile:
EDU_TECH_INF Informatics 0.220 0.415 Binomial
EDU_MED Human 0.072 0.260 Binomial
EDU_HUM Medical 0.184 0.388 Binomial
EDU_ECON Economic 0.204 0.404 Binomial
EDU_OTHER Other 0.174 0.380 Binomial
EDU_LACK Lack 0.145 0.352 Binomial
The form of your current professional activity:
ACT_FTE_PRIV Full-time employment in private company 0.503 0.501 Binomial
ACT_FTE_PUBL Full-time employment in public institution 0.109 0.312 Binomial
ACT_CIVIL_PRIV Civil contract in private company 0.086 0.280 Binomial
ACT_CIVIL_PUBL Civil contract in public institution 0.023 0.150 Binomial
ACT_PTE Part-time employment 0.135 0.342 Binomial
ACT_SELF Self-employment 0.033 0.179 Binomial
ACT_NO_CONTR Working without contract 0.053 0.224 Binomial
ACT_EDUC Education 0.171 0.377 Binomial
Voivodship of residence in Poland:
REG_PL_DONOŚLĄSKIE donośląskie 0.082 0.275 Binomial
REG_PL_KUJAWSKO-POMORSKIE kujawsko-pomorskie 0.046 0.210 Binomial
REG_PL_LUBELSKIE lubelskie 0.039 0.195 Binomial
REG_PL_LUBUSKIE lubuskie 0.013 0.114 Binomial
REG_PL_ŁÓDZKIE, łódzkie, 0.069 0.254 Binomial
REG_PL_MAŁOPOLSKIE małopolskie 0.099 0.299 Binomial
REG_PL_MAZOWIECKIE mazowieckie 0.112 0.316 Binomial
REG_PL_OPOLSKIE opolskie 0.026 0.160 Binomial
REG_PL_PODKARPACKIE podkarpackie 0.063 0.243 Binomial
REG_PL_PODLASKIE podlaskie 0.033 0.179 Binomial
REG_PL_POMORSKIE pomorskie 0.063 0.243 Binomial
REG_PL_ŚLĄSKIE śląskie 0.141 0.349 Binomial
REG_PL_ŚWIĘTOKRZYSKIE świętokrzyskie 0.033 0.179 Binomial
REG_PL_WARMIŃSKO-MAZURSKIE warmińsko-mazurskie 0.036 0.187 Binomial
REG_PL_WIELKOPOLSKIE wielkopolskie 0.082 0.275 Binomial
REG_PL_ZACHODNIOPOMORSKIE zachodniopomorsklie 0.063 0.243 Binomial
Gender:
WOMAN Woman 0.457 0.499 Binomial
MAN Man 0.543 0.499 Binomial
Age:
AGE Age 24.15 3.339 Relative

The logit model results

Variable name Coefficient St andard error z-statistic p-value Odds ratio
Socio-demographic determinants of job satisfaction
WOMAN -0.536 0.238 -2.251 0.024** 0.585
ACT_FTE_PUBL 1.152 0.381 3.025 0.002*** 3.164
EDU_VOCATIONAL 1.509 0.560 2.696 0.007*** 4.523
EDU_SECONDARY 1.239 0.496 2.496 0.013** 3.452
EDU_HIGHER 1.088 0.538 2.021 0.043** 2.967
EDU_HUM -0.778 0.315 -2.470 0.013** 0.459
EDU_ECON 0.537 0.295 1.818 0.069* 1.711
REG_PL_PODLASKIE -1.620 0.703 -2.305 0.021** 0.198
Economic determinants of job satisfaction
WAGE_SAT_2 1.221 0.427 2.859 0.004*** 3.390
WAGE_SAT_3 1.690 0.380 4.453 <0.001*** 5.421
WAGE_SAT_4 2.844 0.410 6.942 <0.001*** 17.181
WAGE_SAT_5 3.415 0.496 6.882 <0.001*** 30.431
NET_INC_PERS_654-871_EURO -0.648 0.354 -1.832 0.067* 0.523
NET_INC_PERS_871 + EURO -1.192 0.514 -2.318 0.020** 0.304
NET_INC_218-436_EURO 0.768 0.376 2.044 0.041** 2.155
NET_INC_436-654_EURO 0.964 0.365 2.639 0.008*** 2.621
NET_INC_654-871_EURO 1.260 0.439 2.868 0.004*** 3.525
NET_INC_871 + EURO 1.937 0.617 3.137 0.002*** 6.937
WEALTH_10893-21787_EURO 0.666 0.343 1.943 0.052* 1.945
Threshold points
cut1 0.071 0.606 0.118 0.906
cut2 1.350 0.614 2.200 0.028**
cut3 3.830 0.660 5.805 <0.001***
cut4 5.843 0.687 8.506 <0.001***