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Table S1: Codes and univariate descriptive statistics of variables used in the multilevel regression models (see table 1)

Standard Description and Variable % ² Min Max Mean Devia- Codes 1 tion DEPENDENT VARIABLES Feel rushed How often feel rushed 1 5 2.78 1.20 1: Never; 5: Very often Feel bored How often feel bored 1 5 2.18 1.09 1: Never; 5: Very often INDEPENDENT VARIABLES MICRO level Sociodemographics Women 1: Female 55.1 0 1 .55 .49 Age 15-24 1: 15-24 years of age 12.2 0 1 .12 .33 55-64 1: 55-64 years of age 15.7 0 1 .16 .36 65+ 1: 65 and more years of age 16.4 0 1 .17 .37 Education Level of education, 0 5 2.75 1.45 0: Lowest level; 5: Highest level Religion 24.0 Protestant 1: Protestant 21.1 0 1 .21 .41 Catholic 1: Catholic 35.1 0 1 .35 .48 East Asian 1: East Asian religion 5.4 0 1 .05 .23 Others 1: Other religions not mentioned 14.4 0 1 .15 .35 Employment Hours worked weekly <40 1: Works less than 40 hrs a week 19.7 0 1 .20 .40 41-50 1: Works 41 to 50 hrs a week 14.8 0 1 .15 .36 51+ 1: Works more than 50 hrs a week 8.5 0 1 .08 .28 0 1: Doesn’t work 38.1 0 1 .38 .49

Unemployed 1: Unemployed, jobless 6.7 0 1 .07 .25 Housewives 1: Housewive 8.3 0 1 .08 .28 Occupational Status Mangers/ 1: ISCO classes 1-2 17.7 0 1 .18 .38 Professionals Unskilled/ 1: ISCO classes 8-9 16.2 0 1 .16 .37 Service workers

Self employed 1: Self employed 13.0 0 1 .13 .34 Household situation Household Ratio of HH Income/country’s mean -6.328 3.922 -.23 .72 income transformed by natural log

Household Cycle Two or more 1: Two or more adults in the household 40.5 0 1 .41 .49 adults Households 1: Household with children 39.1 0 1 .39 .49 with children 1 Z:\FSP2HALLER\ISSP\Leisure Time 2011\HALLERLEISURETIME_Supplement.doc

Standard Description and Variable % ² Min Max Mean Devia- Codes 1 tion Type of community Urban 1: Urban community 32.5 0 1 .33 .47 community Leisure time attitudes/ behaviour Lack of free 1: Lack of free time facilities 25.2 0 1 .25 .43 time facilities 0: No lack of … Utilization of Use free time for contacts/ for 0 500 284.62 109.63 free time developing skills 100: Never; 500: Very often 0: Invalid value Frequent TV 1: Watch TV daily 70.5 0 1 .71 .46 watching Wish for more/ less leisure time (No wish for a change in leisure time) Wish more 1: Wish more leisure time 53.4 0 1 .53 .50 leisure time 0: No wish for a change Wish less 1: Wish less leisure time 7.2 0 1 .07 .26 leisure time 0: No wish for a change MACRO level GNI per capita GNI per capita in ppp US-$ (in 5,570 42,000 22,811 10,759 regressions: values times 10,000) Social Social expenditure in % of GDP 1996 1.7 34.7 18.99 9.04 expenditure (in regressions: values times 100) Religious-cultural impact Protestant 1: Protestant dominated background 25.0 0 1 .25 .449 Eastern 1: Eastern religious dominated 8.3 0 1 .08 .28 Religions background Country groups Post 1: BG, HR, CZ, LV, SI, SK, HU, PL, 25.0 0 1 .25 .44 communist RU countries Continental 1: AT, CH, DE, FR, NL, FLA 16.7 0 1 .15 .36 European Scandinavian 1: DK, FI, SE, NO 11.1 0 1 .11 .32 English 1: AU, IE, GB, NZ, US 13.9 0 1 .14 .35 speaking countries Latin 1: AR, CL, DO, MX, UY 13.9 0 1 .14 .35 American East Asian 1: JP, KR, TW 8.3 0 1 .08 .28 1 Lowest and highest codes are shown. For dichotomic variables only value label for ‘1’ is indicated, ‘0’ usually means ‘Otherwise’. 2 Distripution of attributes (Codes) is given for dichotomic variables. 3 Reference-group in parentheses

2 Z:\FSP2HALLER\ISSP\Leisure Time 2011\HALLERLEISURETIME_Supplement.doc

Note: ‘Invalid-Dummys’ are not shown in the table. Generally they are coded ‘1: Yes, invalid value’ and ‘0: No invalid value’.

Table S2: Characteristics of the distribution of time and perceptions and attitudes concerning free time in 36 countries

Employed by age Working Wishing Lack of free Watch groups (%) 50+ hrs more leisure time facilities1 TV daily 55-59 60-64 65+ weekly (%) time (%) (%) (%) Continental West Europe France (20612) 52 13 2 13 74 18 69 Flanders (Belgium) (1257) 11 11 1 19 63 11 54 Netherlands (892) 76 39 8 13 61 9 82 Germany (1717) 63 28 2 18 52 14 63 Austria (1020) 56 21 2 12 49 11 66 Switzerland (1003) 75 46 7 17 49 12 61

Ø 56 26 4 15 58 13 66 Scandinavia Norway (1143) 80 65 10 13 66 12 78 Sweden (1309) 86 70 5 10 65 13 75 Finland (1354) 70 36 3 6 65 13 75 Denmark (1330) 81 55 10 11 57 8 78

Ø 79 57 7 10 63 12 77 Post-communist East Europe Slovenia (1003) 37 16 3 20 59 21 62 Hungary (1027) 46 4 1 – 3 58 23 81 Czech Republic (1222) 61 13 3 23 59 11 72 Slovakia (1138) 49 16 2 26 51 34 72 Poland (1293) 43 11 3 30 45 36 81 Croatia (1200) 36 15 2 20 57 26 84 Bulgaria (1000) 66 14 3 21 50 18 86 Latvia (1069) 78 37 7 17 62 25 84 Russia (2005) 56 28 5 18 61 31 76

Ø 52 17 3 19 56 25 78 English speaking countries Ireland (2049) 60 42 15 15 59 19 73 Great Britain (906) 66 27 8 18 66 18 77 USA (1536) 59 50 18 27 67 16 68 Australia (2769) 73 49 12 27 73 14 71 New Zealand (996) 75 76 14 19 76 11 71

Ø 67 49 13 21 68 16 72 Latin America Argentina (1657) 60 46 18 30 45 23 69 Chile (1505) 65 50 21 28 64 50 73 Dominican Republic (2164) 79 67 39 41 37 47 46 Mexico (1607) 44 43 27 31 61 53 67 Uruguay (1437) 62 49 14 33 68 32 67

1 Lack of facilities for free time activities: (%) „very much/ to a large extent“. 2 Number of persons interviewed. 3 Missing value. 3 Z:\FSP2HALLER\ISSP\Leisure Time 2011\HALLERLEISURETIME_Supplement.doc

Ø 62 51 24 33 55 41 64 Far East Japan (1253) 68 47 22 37 58 25 82 Korea (1431) 58 45 23 46 60 48 70 Taiwan (2147) 52 31 17 33 47 38 78

Ø 59 41 21 39 55 37 77 Other countries Cyprus (1000) 80 63 9 8 59 23 82 Israel (1344) 63 49 12 27 51 33 63 South Africa (2907) 27 15 5 16 40 49 59 Philippines (1200) 52 36 36 37 30 50 60

Ø 56 41 16 22 45 39 66

Grand Mean 4 60 37 11 22 57 25 72

Source: ISSP 2007 Leisure Time and Sports; 36 countries, N=51951.

4 Computed from aggregate country figures. 4 Z:\FSP2HALLER\ISSP\Leisure Time 2011\HALLERLEISURETIME_Supplement.doc

Table S3: Dependent variables and macro indicators (mean values and assignments)

Rushed Bored GNI/ capita Social Working Correlation (1=never, (1=never, 2007 (in ppp expenditure hours/ week rushed - bored 5=very 5=very US-$) (% of GDP (2007) often) ofen) 1996)

M e a n v a l u e s Continental West Europe France 2.1 1.9 30,540 30.1 37.6 .34** Flanders 3.0 1.7 32,470 27.1 39.5 .00 Netherlands 2.4 1.7 32,970 26.7 35.1 .20** Germany 2.5 1.8 29,510 29.7 38.3 .10** Austria 2.4 1.8 33,280 26.2 38.3 .26** Switzerland 1.9 1.5 38,620 25.9 37.8 .24**

Ø 2.4 1.7 32,898 27.6 37.8 Scandinavia Norway 3.3 2.1 41,650 28.5 37.5 -.10** Sweden 2.8 2.4 32,440 34.7 38.2 .26** Finland 3.0 2.2 32,110 32.3 36.6 -.01 Denmark 2.9 1.5 34,030 33.0 37.8 .15

Ø 3.0 2.0 35,058 32.1 37.5 Post-communist East Europe Slovenia 3.2 2.0 22,140 21.2 42.8 -.19** Hungary 3.2 1.6 16,780 22.3 39.9 .07* Czech Republic 2.9 1.8 19,560 18.8 43.3 .02 Slovakia 3.1 1.8 15,200 20.9 43.8 .00 Poland 3.0 2.4 13,370 25.1 44.1 -.11** Croatia 2.9 2.1 12,620 22.3 43.5 -.15** Bulgaria 3.6 2.2 9,140 13.2 43.8 -.28** Latvia 3.2 2.0 13,490 19.2 42.4 -.23** Russia 2.8 2.4 10,580 10.4 40.7 .22**

Ø 3.1 2.0 14,764 19.3 42.7 English speaking countries Ireland 2.8 2.1 32,580 17.8 37.7 .04 Great Britain 2.9 2.3 33,960 22.8 37.2 .08** USA 3.0 2.3 42,000 16.5 41.9 -.08** Australia 2.9 2.1 30,590 15.7 40.7 .04 New Zealand 2.8 2.2 25,450 19.7 38.7 .10

Ø 2.9 2.2 32,916 18.5 39.2 Latin America Argentina 3.1 2.2 13,800 12.4 42.6 .08** Chile 2.9 2.5 10,920 11.3 44.8 -.16** Dominican Republic 2.3 2.2 7,710 2.5 46.2 .70**

 For descriptions of variables see text. Ø Aggregate group mean. 5 Z:\FSP2HALLER\ISSP\Leisure Time 2011\HALLERLEISURETIME_Supplement.doc

Mexico 2.7 2.7 10,560 3.7 44.8 .39** Uruguay 2.7 2.2 9,620 22.4 43.4 .09**

Ø 2.7 2.4 10,522 10.5 44.4 Far East Japan 2.5 2.3 32,010 14.1 44.1 .19** Korea 2.3 2.5 22,010 5.6 49.4 .40** Taiwan 2.3 2.2 16,070 8.6 46.6 .14**

Ø 2.4 2.3 23,363 9.4 46.7 Other countries Cyprus 2.8 2.3 21,480 10.3 39.3 .40** Israel 3.1 2.6 25,470 24.1 41.8 -.03** South Africa 2.6 2.7 10,880 6.8 42.0 .31** Philippines 3.3 3.0 5,570 1.7 46.8 .18**

Ø 2.9 2.6 15,850 10.7 42.5

Grand Mean 2.8 2.1 22,811 19.0 41.4 .14

Source: ISSP 2007 Leisure Time and Sports; 36 countries, N=51951.

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