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

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ATTITUDES TOWARDS LABOUR MARKET REGULATION IN HUNGARY active policies than women, while women are more likely to support the passive policies than men. The results supported the second hypotheses. 2.8. Liquidation vs. toleration of illegal work 12 If the labor market is regulated too rigidly and the cost of hiring or laying off is too high while the supervision of the labor market is weak, some people will be employed without paying taxes. The issue of illegal work is extremely relevant in Hungary, as the main problem is not the high unemployment rate, but the low activity rate (the number of legally employed people). With its 53.7% activity rate among 15-64 year olds, Hungary is lagging behind the EU members, where the mean activity rate is 64.5%. The following question concerns what people think of illegal work. This question was measured on a seven degree scale. One indicates that the respondent strongly agrees with the following statement: ‘Government should prevent all illegal work’. Seven means the respondent strongly agrees with the following statement: ‘Government should not do anything against illegal work’. The results of each questioning session are shown in Table 40. Table 40. What do people think: government should prevent all illegal work vs. government should not do anything against illegal work? Measured on a 7 degree scale 1-7 degree scale % Government should prevent all illegal work (1-3) The middle of the scale (4) Government should not do anything against illegal work (5-7) Mean In the survey research Pre-deliberation in the small groups Post-deliberation in the small groups 61.8% 18.3% 19.8% 2.78 65.4% 20.2% 14.4% 2.61 64.6% 20.4% 15% 2.57 T1 – T2: Statistically not significant change (t=-0.932, p>0.05) T2 – T3: Statistically not significant change (t=0.292, p>0.05) The deliberation did not bring any page 188 significant change in this issue, as we can see in table 40. In all three sessions, more than 60% of the people said that the government should prevent all illegal work, while less than 20% declared that the government should not do anything against illegal work. Table 41 shows which socialdemographic variables have significant effects on choosing one of the statements.
SZALMA IVETT / SZEL BERNADETT Table 41. Determinants of the probability of agreeing with ‘Government should prevent all illegal work’ vs. ‘Government should no do anything against illegal work’. All N=1455 (1520) Pre -Deliberative Poll N=103 Post -Deliberative Poll N=107 Independent Variables B Sig. Exp(B) B Sig. Exp(B) B Sig. Exp(B) Gender (Men=1) .132 .241 1.141 -.401 .411 .670 .093 .845 1.098 Level of education* .019 .890 .270 Vocational school .368 .014 1.445 -.457 .453 .633 -.286 .646 .751 Completed Secondary General School Tertiary degree (BA or MA) -.026 .871 .975 -.179 .779 .836 .502 .430 1.652 -.108 .612 .898 -.391 .646 .677 -.854 .329 .426 Employment status** .370 .227 .170 Working in full time .206 .273 1.229 -1.184 .079 .306 -.599 .358 .549 Not working: Unemployment .415 .077 1.515 -.287 .675 .751 .787 .246 2.196 Not working: any other reason 13 .188 .462 1.207 .352 .741 1.422 1.160 .326 3.190 Using Internet (No=1) -.091 .533 .913 .836 .144 2.306 .332 .563 1.393 Speaking foreign language (No=1) .059 .681 1.061 -1.358 .044 .257 -.582 .363 .559 Age Group **** .013 .515 .106 30-55 -.462 .011 .630 -.311 .734 .733 -2.286 .061 .102 Over 55 -.656 .005 .519 -.966 .367 .381 -1.596 .221 .203 Constant -.050 .851 .951 .980 .378 2.664 1.397 .284 4.044 -2Log Likelihood. initial 1996.915 139.264 145.621 -2Log Likelihood. model 1952.339 128.509 128.070 Model Chi-square 44.576 10.755 17.551 Degree of freedom 11 11 11 Significance .000 .464 .093 Nagelkerke R Square .040 .134 .203 *Reference Category=Maximum Completed Primary School; **Reference category= Not working: Retired permanent job; ***Reference Category=under 30 Recoding of variables: Values between 1 and 3 were recoded into 0. Values between 4 and 7 were recoded into 1 in order to apply the recoded variable as a dependent variable in the logistic regression model. 14 page 189
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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 in the We
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MARTIN SEMENOVA MENDELSKI Table 1.
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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 Crouch, C
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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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ALEKSANDRA JANOVSKAIA the present d
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ALEKSANDRA JANOVSKAIA to share its
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PÉTER LITERATUR CSIZMADIA 1. GLOBA
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PÉTER LITERATUR CSIZMADIA Makó, C
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CATHERINE SPIESER ABSTRACT THE POLI
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CATHERINE SPIESER and unemployment
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LYUDMYLA REFERENCES LITERATUR VOLYN
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LYUDMYLA REFERENCES LITERATUR VOLYN
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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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