Individual determinants of job satisfaction among young adults in Poland

Śliwicki, Dominik; Szczepaniak, Małgorzata; Szulc-Obłoza, Agnieszka

doi:10.2478/ijme-2024-0024

Figures & Tables

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***

Individual determinants of job satisfaction among young adults in Poland

Figures & Tables

Description of the variables

The logit model results

Paradigm

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