Heft36 1 - SFB 580 - Friedrich-Schiller-Universität Jena

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ATTITUDES TOWARDS LABOUR MARKET REGULATION IN HUNGARY Table 33. Determinants of the probability of supporting regulation versus deregulation of labor market in logistic regression model (Q5) All N=1462 (1514) Pre- Deliberative Poll N=108 Post- Deliberative Poll N=107 Independent Variables B Sig. Exp(B) B Sig. Exp(B) B Sig. Exp(B) Gender (Women) .164 .143 1.178 1.333 .017 3.791 .316 .547 1.371 Level of education* .036 .017 .028 Vocational school .081 .590 1.084 .828 .247 2.289 -.302 .676 .739 Completed Secondary General School Tertiary Degree (BA or MA) .121 .443 1.129 -.982 .153 .375 -1.209 .085 .298 -.406 .055 .666 -1.770 .062 .170 -2.656 .006 .070 Employment status** .002 .375 .862 Working full-time -.294 .117 .746 .064 .924 1.066 .532 .430 1.703 Not working: Unemploymen .264 .275 1.302 .177 .807 1.194 .492 .511 1.636 Not working: any other reason 5 -.676 .008 .509 -1.726 .129 .178 .667 .607 1.948 Using Internet (Yes=1) -.392 .007 .676 -.845 .158 .430 -.689 .232 .502 Speaking foreign language (Yes=1) -.180 .209 .835 .231 .730 1.260 .066 .919 1.068 Age Group *** .025 .261 .730 30-55 -.392 .034 .676 -.962 .378 .382 -.413 .694 .662 Over 55 -.643 .007 .526 1.813 .177 6.126 .023 .985 1.023 Constant .766 .004 2.151 .397 .788 1.487 1.436 .270 4.203 -2Log Likelihood. initial 2025.052 144.342 140.375 -2Log Likelihood. model 1969.174 111.641 115.320 Model Chi-square 55.878 32.701 25.054 Degree of freedom 11 11 11 Significance 0.00 0.01 0.021 Nagelkerke R Square 0.050 0.337 0.259 page 178 *Reference Category=Maximum Completed Primary School; **Reference category= Not working: Retired permanent job; ***Reference Category=under 30 Recoding of variables: Values between 1 and 6 were recoded into 0. Value 7 was recoded into 1 in order to apply the recoded variable as a dependent variable in the logistic regression model. 6
SZALMA IVETT / SZEL BERNADETT The first observation to be made from the table above is that much more dependent variables have significant effects in the representative survey than in the small groups. Those holding a tertiary degree prefer the liberalization of the labor market in comparison to the reference groups in each of the sessions. In the representative sample, using internet has the same effect as holding a tertiary degree. It seems that those who have more cultural capital are more likely to support the de-regularization of the labor market. This finding corresponds to our expectations. Surprisingly, most of the oldest age group (over 55) supports the liberalization of the labor market. The author supposes the explanation may be that the labor market status of the youngest age group (under 30) is the most uncertain. They might not have obtained enough experience due to their age. The members of the oldest age group must be retired, so they do not take any risk if they support the liberalization of the labor market. The same mechanism can be found behind the fact that those who are not working for some other reason (mostly students or people on maternity leave) mostly support the liberalization of the labor market. In the pre-deliberation groups, there are two significant variables: gender and educational level. Women seem to object to liberalization as compared to men. As for educational level: highly-educated people prefer liberalization compared to the reference group. In the post-deliberation groups, the only variable found to be significant was educational level: those who completed higher education support liberalization of the labor market most. 2.5. One’s own responsibility to get a job versus the state should provide jobs for every citizen This question refers to the role of the state similar to the previous one. Respondents had to express to what extent they agree with the given statement on a seven degree scale. The first degree signifies that the respondent totally agrees with the following statement: ‘Finding a job is one’s own responsibility’. The seventh degree indicates that a person completely agrees with the following statement: ‘Providing jobs for all citizens is the government’s responsibility’. The results of each survey session are shown in Table 34. page 179
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WHAT CAPITALISM? SOCIO-ECONOMIC CHA
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WHAT CAPITALISM? SOCIO-ECONOMIC CHA
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REFERENCES LITERATUR CONTENTS Chapt
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ALEXANDRA KRAUSE, REFERENCES LITERA
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MARTIN SEMENOVA MENDELSKI transitio
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MARTIN SEMENOVA MENDELSKI Table 5.
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MARTIN SEMENOVA MENDELSKI 10 Despit
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MARTIN SEMENOVA MENDELSKI Johnson,
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MARTIN SEMENOVA MENDELSKI Szalai, J
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MARTIN SEMENOVA MENDELSKI Figure 4.
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PÉTER LITERATUR CSIZMADIA 1. GLOBA
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CATHERINE SPIESER ABSTRACT THE POLI
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AUTHORS Abel Polese is Marie Curie
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SFB 580 - GESCHÄFTSFÜHRUNG (2010)
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Heft36 1 - SFB 580 - Friedrich-Schiller-Universität Jena

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