Betul Yalcin PERCEPTION OF ATTITUDES TOWARDS DISABLED PEOPLE IN THE LABOUR MARKET: A COMPARATIVE ANALYSIS IN EUROPEAN CONTEXT BETUL YALCIN Marie Curie Initial Training Network: DREAM Project-ESR, University of Leeds, UK (Work in progress please do not quote and cite without permission email: B.Yalcin@leeds.ac.uk) 1. Introduction With the advancement of interconnectedness between countries, industrialized economies have entered into a new era where economic rules are set in a global context. In the process of globalization, citizenship, which declares the rights and responsibilities of members of society, has undergone important changes, and social protection policies have been replaced by active labor market policies (Falk, 2000; Yeates, 2001). Parallel to these transformations, the EU, with its sui generis governance system, puts its effort to create a socially and economically integrated union between the states of Europe. Compatibly, all activities and legislation are predominantly directed towards completion of single market and economic competitiveness (Hantrais, 2007). Within this framework, there is an emphasis on active labor market policies in the belief that it would contribute to the overarching goal of securing sustainable economic growth. Active labor market polices, defined as ‘measures taken in order to improve functioning of the labor market that are directed towards unemployed’ (Calmfors, 1994, pp.8) are incorporated into policies, including the policies addressing disabled people. However, increased emphasis on employment at macro policy level is not reflected in micro level policy outcome. It failed to meet the expected outcomes most of the time (Jeager and Kvist, 2003). Despite substantial efforts, the employment rates amongst disabled people are still far below those of their nondisabled counterparts in most EU member states (OECD, 2010; Gammenos, 2011). The Academic Network of European Disability Experts (ANED) report provided the most recent proof. According to the Labor Force Survey dataset, the average employment rate for disabled people is around 45 percent, whilst the rate for their nondisabled counterparts is 72 percent in the EU (Gammenos, 2011). For disabled people, experiencing challenges in participation into social and economic life is mostly attributed to institutional, attitudinal and environmental barriers (Hannon, 2007; Hahn, 1985; 1988). As one of those obstacles, public attitudes towards disabled people 1 gained attention amongst scholars and governance bodies in the last few decades (Hannon, 2007) due to the role it plays in policymaking processes (Page and Shapiro, 1983). Yet, the existence of negative attitudes is acknowledged as a risk factor that can create a volatile ground for disabled people’s integration and prevent stipulation of enabling policies and their implementation, which, as a whole thought to inhibit the enjoyment of full citizenship rights (Rosenthal et al, 2006; Hannon, 2007; Dwyer, 2004; Hanh, 1985; 1988; Kamieniecki, 1985). Studies on attitudes towards disabled people provide extensive information (Hannon, 2007), however, there is a gap in the literature, which investigates this issue in a cross-national context. Additionally, there is no research in the disability literature that simultaneously evaluates the effects of individual and country level variables. Whilst, the Eurobarometer Opinion Survey Series can answer to what extent European citizens hold discriminatory attitudes, it is inadequate due to its reliance on descriptive statistics, when discussing who is more likely to see disability as a discriminatory factor. Limited reference to country level factors is another shortcoming of the Eurobarometer series. This paper, therefore, sets its aim as to: (1) to provide the pattern and trends in the European citizens’ perception of attitudes towards disabled people in the labor market and (2) to untangle underlying factors behind this perception by taking individual and country level factors into account. Within the scope of this paper, the following questions guide the investigation: what is the pattern and trend in European citizens’ perceptions of attitudes towards disabled people in the labor market? and who holds such perceptions?.1 In order to answer the questions, responses given to a regularly appearing statement addressing the employment of disabled people in Eurobarometer Survey 2007, 2009, 2012 are being revisited 2 . Whilst patterns and trends are displayed with mainstreamed descriptive techniques, present study employs logistic regression analysis to untangle the factors behind the attitudes, where both individual and country level factors are taken into account. This paper contributes to the literature by providing the first cross-national analysis, which concurrently scrutinizes the effects of individual and country level factors. Initially, brief description of attitudes and their importance for policy are presented. Under the same section, 1 This paper partially reflects preliminary findings of an ongoing doctoral research that aims to identify how states can better promote the employment of disabled people in open labor market, private sector in particular. Mentioned research has a layered framework for policy analysis, where each layer relates to one another in a progressive manner to render a more comprehensive understanding of the current situation of disabled people’s employment. Whilst, macro level focuses on the similarities and differences between EUMS’s employment policies for disabled people, meso level analysis focuses on the impact of those policies. Unlike the former layers, micro level analysis investigates interpretation and implementation of employment policies for disabled people. 2 Reason of limiting the analysis with one item was mainly due to its regular appearance over the three successive surveys, which enables the researcher to trace changes.. Betul Yalcin previous findings on the attitudes towards disability are discussed. Factors that influence the attitudes are also adressed. In the following section, information on data and statistical analysis are provided. After the discussion of main results, implications for future research, and the European Union organs (EU) and the Member States are specified as concluding remarks. 2. Literature on Attitudes towards Disabled People Attitude, defined as ‘an idea (cognitive) charged with emotions (affective) which predisposes a class of actions (behavioural) to a particular class of situations’ (Triandis, et al.1984, cited in Hannon, 2007, p.9), serves as a framework through which people interpret and link themselves to the social world (Hannon, 2007). They are evaluated in a threefold way: cognitive, affective, and behavioural. Whilst cognitive and affective evaluation mostly refers to internal thoughts and attached emotions, behavioural evaluation denotes observed actions in relation to the questioned issue. Yet, fundamentally an internal process, attitudes are believed to be an implicit but influential determinant that shapes the policy due to their effect on policymaking processes (Page and Shapiro, 1983). Regarding disability policies, it is argued that societal attitudes dictate social policy to a substantial degree (Hahn, 1985; 1988; Kamieniechki, 1985; Massie, 2006). Especially, Hahn says that experiences of disabled people are indeed determined not by their functional limitations, but more by others’ attitudes towards their limitations (Hahn, 1985; 1988). He also adds that attitudes ‘not only mould the behaviour; they embody values that are the basis of public policy that ultimately shapes architectural configurations and social institutions’ (Hahn, 1985, p. 306). In his paper, Kamieniechki (1985) addresses the influence of public attitudes on policy makers. He argues that due to concentration on reelection, elected leaders are keen to learn the electorates’ opinion on disability related issues before they come to a decision, especially on welfare provisions. Whilst claiming the influence of public attitudes on policy-making processes, it is equally plausible that institutional structure and policy discourses of a state influence public attitude (Hick, 1999 cited in Blekesaune and Quadagno, 2003). This idea is backed up in the Jacobs and Shapiro’s book (2000, cited in Blekesaune and Quadagno, 2003). They claim that it is true, as politicians would have an urge to seek ways to promote their policy agenda in order to secure public support. Thus, it is not surprising to witness changes in the public attitude following alterations in policy discourses. The most recent 2012, British Social Attitudes Survey carried out a review of the changes in public and governmental attitude towards 3 welfare within the last decade. The analysis revealed that government displayed a differentiated attitude towards benefit claimant and pensioners throughout the last decade. More interestingly, analysis also revealed a reflection of this differentiation in public attitudes, with an observable decline in the support for welfare policies for benefit claimants. Whilst the 1998 Survey revealed 74 percent agreement with the notion of allocation of more resources on benefits for disabled people, this support dropped to 53 percent in the 2011 survey with drastic decline after 2008 (Park et, al, 2012). Cited as one of the socially excluded groups, there is a growing body of literature on attitudes towards disability. According to Mark Oliver (1990), today’s understanding of disability is shaped by the interaction between mode of production and social values attached to disabled body. He states that industrialization devalued labor of those who are unable to meet expectations form an average worker. Barnes and Mercer (2005) express that the global rise of industrialization created competitive market where ethos of profit maximization further decreased the value of disabled workers, thus causing disabled people to emerge as a categorically excluded group. Explaining the economic exclusion, Hodghes Aeberhard and Raskin (1997) also pointed out societal attitudes. They further argued solely banning discrimination is not enough, thus, it is necessary to take affirmative actions to eliminate the experienced inequalities (Hodghes Aeberhard and Raskin, 1997). In general terms, experiencing challenges in participation into social and economic life is mostly attributed to institutional, attitudinal and environmental barriers (Hahn, 1985; 1988; Hodghes Aeberhard and Raskin 1997; Barnes and Mercer, 2005; Hannon, 2007). As stated in introduction, public attitudes towards disabled people gained attention since 80s (Hannon, 2007), however, those studies are mostly carried out in national context. The British Social Attitudes Survey Series, launched in 1983, are repeated on an annual basis to assess attitudes towards certain social issues in the UK (ESDC, 22 Feb 2012). According to the 2005 survey, most British think that there is prejudice towards disabled people, with a higher agreement rate by disabled respondents (Robinson, et al., 2007). In the 2009 follow-up survey, findings showed that compared to 2005, attitudes towards disabled people have incremented. In terms of socio-demographic factors, people who have higher education and those who have higher incomes are found to display more positive attitudes towards disabled people. Females and public sector employees have more positive thoughts compared to men and private sector employees (Staniland, 2009). Betul Yalcin In its sister survey series, the Scottish Social Attitudes Survey series included questions on disability in the 2002, 2006, and 2010 surveys. Unlike the rest of the revised researches, the Scottish survey series used logistic regression analysis to investigate the factors behind the attitudes. It was revealed that economic and individual factors make a difference in people’s view. The 2002 findings revealed that three out of ten Scottish think that there is discrimination against disabled people. Those who are coming from a demographically mixed community are less likely to display discriminative thoughts. Additionally, people who think that they have a lot in common with people of minority groups are less likely to present discriminative thoughts. People who hold university degrees were found to be less likely to hold discriminatory attitudes compared to those who have no qualifications. However, they display lower support for positive measures. Additionally, older people hold more discriminatory attitudes towards minority groups compared to younger people (Bromley and Curtice, 2003). 2006 follow-up displayed similar trends. Only a minority of Scottish people expressed discriminatory views. Like in the 2002 series, differentiation of attitudes as a function of age was apparent. The effect of frequencies of practicing religious retreats was also reported. Again, familiarity was found to be a significant factor that explains differentiation in the attitudes (Bromley et al, 2007). The most recent one, 2010 Survey, included more questions on disability. Similar findings were disclosed in terms of support for positive actions towards disabled people. A majority of the Scottish people sees positive actions in the recruitment, as unfair (63 percent). Logistic regression analysis, run to reveal who are more likely to hold discriminatory attitudes, people who hold higher educational attainment, people from managerial positions and professional backgrounds, are those who most likely to see positive actions as unfair. Compared to previous years, it is observed that the share of people who see positive action to support employment of disabled people as unfair increased, in the meanwhile. It is assumed they display such hesitation as they feel like their own interest could be endangered under such circumstances (Ormstone et, al, 2011) Similar opinion survey series have been carried out in Ireland. A 2001 National Survey of Public Attitudes to Disability depicted that a majority of Irish people hold the view that disabled people should be supported to get equal opportunities. In terms of employment related questions, it was observed that people tend to favour employment of physically disabled people more than they do the other types of disability. People who have disabled family or have disability themselves showed more agreement (NDA, 2002). In its 2006 and 2011 follow-up, people’s attitudes towards employment mostly display similar trends (NDA, 5 2007; NDA, 2011). Additionally, disabled respondents were found to be more willing to work with disabled colleagues regardless of their disability type (NDA, 2011). For the economic integration, employer’s attitudes are thought to play the most crucial role. In terms of employer attitudes, a large-scale survey in the workplaces has been carried out in the UK. Results of this survey showed that a majority of employers disagree with the statement that disabled people are less productive. Some employers stated that they would employ them if there were disabled applicants (DRC, 2007). Qualitative research carried out by Davidson (2011) showed that employers see some risks over employing disabled people. Amongst the cited risks they listed were: reputation of the company, risk to customer base, and risk to business, especially for food industry. Risk of frequent absenteeism has also been pronounced. In a study carried out in the USA, it was also revealed that those employers who use support systems hold more positive thoughts. Moreover, employers who have prior contact with disability display more positive thoughts about employment of disabled people. In another study from Sweden, it was found that employers who have a history of hiring disabled employees have a tendency to hire again (Anderson, 2012). Except for the Eurobarometer survey series; there is no known research that addresses disability issues in a cross-national context. The first Eurobarometer survey addressing attitudes towards disability was carried out in 2001. Overall findings of this survey revealed that a majority of European citizens believed that disabled people face difficulties in daily life. Most of them agreed with the notion that more should be done to integrate disabled people into society and more money should be spent on decreasing the physical barriers etc. When they are asked about feeling ease in the presence of disabled people in different situation, a majority of Europeans reported that they are at ease in the presence of disabled people. In terms of the factors behind attitudes, the Survey revealed that gender, education, income, occupational class, and age were reported to be important factors affecting attitudes towards disabled people. By looking at the observed percentages, males, people with lower education, people from low income and having lower occupational status, were found to display less support to positive slants, and more on negative ones (EORG, 2001). In September 2003, another Eurobarometer special survey addressing the activities throughout the European Year of People with Disabilities was carried out. Results disclosed that three out of ten Europeans were aware of the fact that the year 2003 was the European Year for People with Disabilities. A Majority of them hold the belief that this year contributes to awareness about disability. Similarly, a majority of them believed that disabled people have the same rights to find a job and right to enroll in training, 84 and 87 percent respectively. Betul Yalcin However, only 42 percent of Europeans thought that the activities carried out during this year would improve the chance of employment. More importantly, more than half of the respondents believed that people with profound disability levels should be directed to work in sheltered workshops. In terms of socio-demographic factors, analysis mostly displayed variations by age, schooling period, occupational status, socio- economic status, people from managerial positions, and high socio- economic status is more supportive and aware of disability related issues. However there were items where no significant variations were reported (EORG, 2004). Although Eurobarometer series provides the foremost multinational analysis of attitudes towards disability, it is limited in terms of its reliance on observed percentages over the total base while displaying effects of individual and country level factors. In terms of country level factors, there are studies, which look at the effect of institutional structure and welfare regime on attitudes towards social issues. In some of these studies, Gelissen (2000), Svalford (1999), Roosma, (2012) investigate both the individual and country level factors and revealed to what extend people’s approach to certain social issues are influenced when both group of factors taken into account simultaneously. Due to interconnectedness between policy and public attitudes, it is important to investigate patterns and trends as well as the factors behind the attitudes in the age of austerity. As one of the aspirations of the present paper, factors that affect people’s perceptions will be scrutinized, alongside the patterns and trends. The following section is allocated to give information about the data and the methods employed for the present analysis. 3. Data and Measurement Within the scope of the present paper, European citizens’ perception of attitudes towards disabled people in the labour market was investigated by analysing Eurobarometer Opinion Survey series. These series are conducted on behalf of the European Commission and based on face-to-face interviews with people who are age 15 and over. In order to revealed patterns, trends, and the factors behind the European citizens’ perception on the attitudes towards disabled people in the labour market, regularly appearing questions in the 2007, 2009, and 2012 Eurobarometer series were scrutinized. On the basis of regular appearance, the questions of ‘when a company wants to hire someone and has the choice between two candidates with equal skills and qualifications, which of the following criteria may in your opinion, put one candidate at a disadvantage_ disability_ ‘ were selected. Accordingly, seeing disability as a disadvantageous criterion was set as a dependent variable for the analysis. 7 The data are from EU27 member states and provides information on 26,822 European citizens for 2007, 26,756 for 2009, and finally 26,662 for 2012. The sample size for the countries varies between 500 and 1,570; however most of the countries have sample size around 1,000 per series. As stated before, the present study takes individual and country level factors into account while investigating European citizen’ views on attitudes towards disabled people in the labour market. In light of the literature, individual level factors are selected as: age, gender, and schooling period, subjective personal health, familiarity with disability, perceived social level (excluding 2006 series), political orientation, religious denomination, and occupational status. For country level variables dummy variables are created as welfare typology, quota system, and NationEU27. Prior to analysis, all variables are recoded into dummy variables and categories, which act as reference categories for comparison are given zero (See Annexes- Table 1 and Table 2). For dependent variable, response categories are coded 1 for ‘seeing disability as a disadvantageous criteria’ and 0 for the other way around. While running the logistic regression analysis, all variables, excluding NationEU27, are set as a categorical variable in order to spot the effects of subdivisions of the factors. The pattern and trends are presented based on the calculation of observed percentages over total base. On the other hand, influence of the factors on people’s views is investigated with logistic regression analysis, like in the Scottish Attitudes Survey Series. Logistic regression analysis allows to ‘specify and test if the independent variable has an effect, but the effect varies depending on the characteristics of the respondent after controlling for the other factors’ (MacDonald, 2008, p.7). Whilst, observed percentages provide information on plain shares of who do/don’t see disability as a disadvantage in the labour market over total base, logistic regression analysis provides information on whether simultaneously presented factors and their subdivisions have a statistically significant effect on dependent variable, when all other factors are controlled. More importantly, it provides likelihood of occurrences amongst subdivisions of researched population (MacDonald, 2008; Budzier, 2010). In the light of the literature, a decrease in the number of seeing disability as a disadvantage in the labour market is expected. For logistic regression analysis, it is hypothesized that the effect of the simultaneously presented factor on dependent variable would be statistically significantly, when all the other individual and country level factors are controlled. Null hypothesis, therefore, implies no significant effect. In the real social world nothing can be brought about by a single factor, thus the result of the logistic regression might reveal different but more credible findings than what the descriptive presents regarding likelihoods. The following section presents the patterns, trends and the influence of individual and Betul Yalcin country level factors. Although, it merits a much more detailed discussion of all the presented data, due to the length of this paper, focus is given to discussion of 2012 and the rest addressed in brief. 4. Results In order to analyze the datasets and to disclose the perception of European citizens on attitudes towards disabled people in the labor market, SPSS Version 20 was employed. Whilst Table 3 (See Annexes) presents the pattern and trends in the aforementioned Eurobarometer series, Table 4 (See Annexes) displays results of the logistic regression analysis based on the same dummy variable recoding. Presentation of results in both forms provides validation of the descriptive results and statistically displays the differences in the likelihoods of subdivisions of all the factors. This, in turn, reveals more credible findings for identifying which group of people or countries have to be addressed most in order to accomplish the desired level of awareness regarding the employment of disabled people. The 2007 Eurobarometer series shows that 53 percent of European citizens see disability as a criterion that put an individual at a disadvantage when two candidates who have the same skills and qualifications are short-listed for a vacant position. This percentage dropped by 10 units and reached 42.8 percent in 2009 and flattened at 42.2 percent in 2012. At the moment four out of ten European citizens mentioned disability as a disadvantageous criterion in the recruitment phase in the labor market. Overall descriptive results depicted a downward trend in the number of people who regard disability as a disadvantageous criterion in the labor market. It should also be noted that the drastic decline has happened between 2007 and 2009. Individual Level Factors: Gender When gender is taken into account, present analysis revealed that both hold almost similar amounts of share in terms of seeing disability as a disadvantage in the labor market. However, as a whole, there is a decline in the amount of shares seeing disability as a disadvantage for both genders between 2007 and 2012. For 2007, there is one unit difference between females and males, both display more than 50 percent shares on seeing disability as a disadvantage in the labor market. The share was 43 percent for both genders in 2009. The most recent series depicted 42 percent share for both gender. Except for 2012 series, logistic regression analysis over three data sets revealed significant effect of gender on dependent variable at p=.500 significance level, after controlling for the other factors. That means 9 gender, as an individual level factor, makes a difference in people’s views. According to 2007 dataset, having coefficient of .949 and negative B value means that after controlling for all the other factors males are 5 percent [Exp(B)-1x100=x] less likely to perceive that disabled people are at disadvantageous position in the labor market, after controlling for other individual and country level factors. For 2009 data set, likelihood is 2 percent lower for males. Age Descriptive analysis over the 2007, 2009, and 2012 Eurobarometer survey series were reflecting the downward trend as parallel to the decrement in the in the total share of seeing disability as a disadvantageous criterion. For three successive series, younger people, aged between 15 and 24, were found to display higher share. In 2012, 44.6 percent of younger people see disability as a criterion that puts an individual at a disadvantage in the labor market; this share is 40.6 percent for people who are 55 and older. Similar pattern and trend for all age groups were observed in the 2007 and 2009 surveys. The gap between the shares of youngest and oldest group was highest in the 2007 survey by 10 units; however it narrowed down in the 2012 survey. For the parent variable testing for whether age, after controlling for the other factors, has an effect on dependent variable were found to have a statistically significant effect for 2012 data set. That means people’s perception on attitudes towards disabled people in the labor market changes as a function of age. Whilst subdivisions for people who are aged between 25 and 39 and between 40 and 54, did not revealed a statistically significant effect, subdivision for those coming from the older age group were found to have a significant effect on the dependent variable. People who are 55 and older displayed lower odds compared to people aged between 15 and 24. They are 18 percent less likely to refer to disability as disadvantageous criteria in the labor market. Significant effects of age on dependent variable were observed for the previous surveys as well. Unlike the 2012 observations, both the 2007 and 2009 survey series revealed significant contribution of all subdivisions. After controlling for all the other factors, compared to youngest people, oldest people displayed 31 percent, and 22 percent lower odds, for the 2007 and 2009 series respectively. Schooling Period In considering the schooling period, slightly different trends amongst subdivisions were observed in the 2007, 2009 and 2012 series. Parallel to general trend, there is decrease in the amount of the share of seeing disability as a disadvantageous criterion. In terms of schooling Betul Yalcin period, the 2012 series revealed that 39 percent of those who have left school before the age of 15 mentioned disability as a criteria that put an individual at a disadvantage in the labor market. Amongst those who left school before 20 years of age, 42 percent see disability as disadvantageous criteria. Agreement of people who have continued to full- time education even after 20 years of age is 44 percent. Similar types of pattern are observed over the 2007 and 2009 datasets. When logistic regression findings were taken into account, 2012 findings showed that after controlling for the other factors, schooling period as a parent variable has a statistically significant effect on dependent variable. Compared to people who have left fulltime education after 20 years of age, early school leavers had lower odds. Those who left schooling before 15 years of age are 4 percent less likely to see that disabled people are disadvantaged in the recruitment phase. Those who left full-time education before 20 years of do not revealed a statistical significance, meaning that this group holds similar views with people who have completed higher educational attainment levels. For 2009 and 2007, people who have shorter schooling period displayed substantial lower odds compared to people who remain under full time education after 20 years of age. For all series people who left full-time education before 15 years of age depicted the least likelihood of seeing disability as a disadvantage in labor market. Personal Health Condition A similar downward trend is observed in the amount of the share of seeing disability as disadvantageous criterion. Descriptive studies over the 2007 data series depicted that the shares for non disabled and disabled people subdivisions were around 53 percent. In 2009, non disabled people depicted 42, whilst disabled people showed 47.2 percent share of seeing disability as a disadvantageous criterion. Finally, 2012 data set revealed that 41.6 percent of the non disabled people report disability as a disadvantageous criteria, whilst the disabled people display 45.9 percent share. Logistic regression analysis depicts a statistically significant effect of personal health condition on the dependent variable. Compared to nondisabled people, people who have disability or chronic illnesses were found to be 19 percent more likely to see disability as a disadvantage at the recruitment phase after controlling for the other factors. For the 2009 and 2007 series the odds of seeing disability as a disadvantageous criterion was, again, higher for disabled respondents, 27 and 14 percent respectively. Familiarity 11 The 2007 series showed a 5 unit difference between the observed percentages of people who do/don’t have familiarity with disability. For both group, the shares of seeing disability as a disadvantageous criterion were above the 50 percent. In 2009 the 5 unit gap was sustained, but, as a whole, there were 10 unit downward shifts in the shares. People who have family member or a friend with disability had 40.3 percent share of seeing disability as a disadvantage in the recruitment, while people who have no familiarity displayed 44.9 percent share. In the 2012 survey population, 39.6 percent of people who have no acquaintance with disability hold the view that disability puts an individual at a disadvantage. On the other hand, 44 percent of people who have acquaintance with chronic illness or disability see this condition as a criterion that places an individual at a disadvantage in the labor market. Having a decline at about 10-unit from 2007 till 2012 is in line with the general trend. Logistic regression analysis testing whether having familiarity with disability has an effect on dependent variable, revealed statistical significance at p=.500 significance level, after controlling for the other factors. For 2012 survey, people who have an acquaintance or family member with disability are 16 percent more likely to hold the view that people with disability are disadvantaged in the labor market. For the previous series, people who have acquaintance with disability or chronic illness have higher odds compared to the reference group. After controlling the other factors, a respondent who has a disabled acquaintance has a 14 percent higher likelihood of seeing disability as a discriminatory factor compared to unfamiliar people in the 2009 series. This rate is again significant and higher for the 2007 survey. They are 11 percent more likely to mention disability as a disadvantageous criterion. Perceived Social Level Just as individuals have self-interest variables, individual’s socialization is also thought to shape his or her attitudes towards certain issues. As one of the factors, social status is thought to lead differentiation in the attitudes. The analysis of 2012 data set revealed that 44.5 percent of those who place themselves in low social class see disability as a disadvantageous criterion. While this rate was 42.1 percent for middle social level, it was 41.6 percent for people of high social level. For 2009 it was the other way around, people from low social displayed similar share with middle social level by 43 percent whilst it was 44.6 percent for the high social level group. Self-placement of social level was not included amongst the questions in 2007. Logistic regression analysis revealed significant effect of social level as a parent variable in the 2009 and 2012 series. When subdivision were taken into account, the 2012 survey results showed that compared to people from low social level, people from middle level are 9 percent less likely to see disability as a criteria that put an individual at a Betul Yalcin disadvantage after controlling the other factors. Similarly, people from high social level were 14 percent less likely to see disability as a barrier in the recruitment phase than those who are from low social level. For 2009, middle social level display lower odds. Compared to low social level group, they are 4 percent less likely to see disability as a disadvantage. Higher social level, also displays lower odds after controlling for the other factors. They are 7 percent less likely to see disability as a disadvantage compared to reference category. Occupational status When occupational statuses have been scrutinized we can see that the trend follows general downward movement. There is an almost similar rate of agreement with the statement that taps discrimination at the recruitment procedures in the 2012 series. All the occupational classes have an mentioning rate between 41 and 43 percent. For 2009 analysis, managers were found to have more shares. 46.2 percent of them see disability as criteria that decrease an individual’s chance of being recruited for vacant positions. People who are employed in either blue or white color jobs have 43.3 percent share of seeing disability as a disadvantageous criteria in the labor market. Self -employed, inactive and unemployed people have 42 percent shares. In the previous survey series, the share of seeing disability as discriminatory criteria is higher. However, the shares fluctuate amongst subdivisions. Logistic regression analysis revealed a significant effect of occupational status as a parent variable on explaining the variances on the dependent variable only for the 2012 series. Whilst those coming from economically inactive and unemployed groups do not reveal statistical significance, those coming from employee and self- employed groups display statistical significance. After controlling for the other factors, people who are employed in manual or professional jobs are 5 percent less likely than people of managerial positions to hold the view that disabled people are disadvantaged at the recruitment phase. The odds for self-employed people are again lower compared to manager: they are 10 percent less likely to see disability as criteria that put an individual at disadvantage. For the previous series, occupational class as a factor did not reveal significant effects on explaining the variances in dependent variable. Political orientation Throughout the years between 2007 and 2012, there is again a downward trend among those seeing disability as a discriminatory criterion. Ten-unit decrease is reflected in the evaluation of this factor as well. For the 2012 survey series, people who hold right wing political orientation were found to display a lower mentioning rate than other political orientation 13 groups. While 46.3 percent of people from left wing say that disability puts an individual at a disadvantage in the labor market, 42. 6 percent of people who hold central political view hold such view. 40.6 percent of people, who hold right wing orientation, see disability as a criterion that put an individual at disadvantage in the labor market. Logistic regression analysis for the same variable over 2012 survey data set revealed that political orientation as a parent variable has significant effect while explaining the variances in people’s view. Compared to the leftist group, people who hold central political views display lower odds. They are 8 percent less likely to state disabled people are disadvantaged in the labor market. When it comes to people from right wing political orientation, coefficients displayed lower odds. Compared to leftist, they are 19 percent less likely to say that disability put an individual at disadvantageous position after controlling for the other factors. The likelihood measurements are almost the same for previous years. In total, leftist people are more likely to see disability as disadvantage in the labor market, whilst people of right wing political orientation are at the other end. Religious Beliefs Based on the observed percentages, Jewish were people found to report disability as a criteria that put a candidate at a disadvantage with highest share in the 2012 survey series, Their rate of seeing disability as a disadvantage is 57 percent. Christians and Muslims display 41 and 40 agreement respectively. People from eastern belief systems and non-believers display 48.6 and 46.6 percent reporting rate respectively. For the 2009 series, people who do not place themselves in any of the monotheistic religions displayed a higher share than the other belief systems. For the 2007 series, it was people who are in eastern belief systems that have the highest share by 64 percent. Logistic regression over the 2012 series revealed that as parent variable, religious denomination has a significant effect on the dependent variable after controlling for the other factors. Compared to Christians, Jewish people were found to have higher odds. They are 56 percent more likely to report disability as a disadvantage in the labor market. Muslims on the other hand, display lower odds. Expressing disability, as discriminatory criteria is 15 percent less likely for Muslims, compared to Christians. Concerning people of eastern belief systems, logistic regression revealed higher odds. After controlling for the other factors, a person who belongs to eastern belief systems is 40 percent more likely to see disability as a criterion that puts an individual at a disadvantage in the labor market. People who do not belong to any belief systems are 4 percent more likely to see disability a disadvantage. For the previous series, likelihoods amongst different religious groups showed differentiations. Betul Yalcin Country Level Factors: Welfare typology Welfare typology and institutional structure of a state are found to reveal differentiated outcomes in the people’s views throughout the survey series. Descriptive analysis over the 2012 data set revealed that people from social democrat countries display a higher share in terms of seeing disability as a criterion that puts an individual at a disadvantage in the labor market. People of social democrat countries display 48.4 percent agreement, whilst people of conservative countries display a 42.6 percent reporting rate. People of post-communist emerging welfare regimes, on the other hand, showed a 40 percent mentioning rate. People from liberal countries displayed a 27 percent share of seeing disability as a disadvantageous criterion. Compared to pervious years, decline in the shares of seeing disability a disadvantage is also observed for this factor. However, the decline is more for liberal and post-communist emerging welfare regimes. There is 16-unit decrease in the shares of people who see disability as disadvantageous criteria. In the 2012 series, the parent variable testing whether welfare typology has an effect on dependent variable was found to be statistically significant. Compared to social democrat welfare regimes, people from conservative regimes are 8 percent less likely to see disability as a disadvantage in the labor market. People from liberal welfare regimes are 61 percent less likely to see disability as a discriminatory criteria compared to social democrat welfare regimes, after controlling for the other variables. And again, people from post-communist emerging welfare regimes are 30 percent less likely to say that disability is a disadvantageous factor compared to social democrat welfare regimes. For the previous data sets, similar observations for the odds are made, however observed likelihoods are slightly different than 2012 coefficients. Quota System Although there is no prior literature on the effects of quota systems on individuals ‘views on disability related issues, there are theoretical discussions in Annette Henninger’s (2006) paper on welfare policies in the post-modern era. In this paper she cites that active labor market policies have a potential to create differentiation in micro-level behavior since it involved sanction and coercive measures. The present findings are the initial findings as far as employment of disabled people is concerned. People from countries, where there is no quota system, display 44.8 percent share of seeing disability as a criterion that puts an individual at a disadvantage in the labor market. For the countries that have a quota system for the public sector, people display 38.2 percent share. Those who live in the countries 15 where quota system only applies to the private sector, display 46.8 percent agreement, while countries where quota applies both to public and private sector reveals 40.6 percent share on the idea that disabled people are disadvantaged in the labor market. Previous series descriptive analysis was slightly different than that of 2012, however overall decline was apparent in the shares compared to 2007. Logistic regression analysis over the 2012 series data set revealed that as a parent variable, quota system is found to have an effect on dependent variable. That is people’s views on attitudes towards disabled people in the labor market changes as a function of quota system. People from countries where a quota system applies to the public sector are 11 percent less likely to see disability as a disadvantageous criterion compared to non-quota system after controlling for the other factors. Whereas people who live in countries where a quota system applies only to the private sector, have 9 percent lower odds. For people who live in countries where a quota applies to both public and private sector, people display lower odds compared to non-mandatory systems. They are 28 percent less likely to see disability as a factor that puts an individual at a disadvantageous position. 5. Discussions and Conclusion Present study sets its aim to examine the pattern and trends, as well as the factors that are thought to shape perception of attitudes towards disabled people. The present analysis addressed the research questions with two different statistical techniques. Similar to previous literature, patterns and trends were presented in observed percentages. On the other hand, logistic regression was used to entangle the effects of individual and country level factors on in people’s perceptions. A similar downward trend in the Park, et al, (2012) review was observed for present analysis. Between the 2006 and 2012, there was a decline in the 10 units of the share of people who view disability as disadvantageous criteria. However, most recent employment rates for disabled people revealed that (see Annexes-Table 5) discrimination in the labor market on the basis of disability is still present. In terms of enabling policies’, this downward trend might result in lessening the public pressure on policy makers. In terms of individual level factors, the literature states that females are more likely to hold supportive views on disability related issues (Staniland, 2009, EORG, 2001; 2004). If we only looked at descriptive statistics, we would not spot an apparent difference between males and females. However, the logistic regression analysis revealed gender makes a difference in European citizens’ view on attitudes towards disabled people in the labor market when all Betul Yalcin other individual and country level factors are controlled. In three successive surveys, male participants displayed lower odds. The age revealed statistically significant for all three surveys as the literature suggested (Broomley, et. al, 2007; EORG, 2001; 2004). Compared to younger people, older people are less likely to see disability as a factor that put an individual at a disadvantage in the labor market. However, the gap between older and younger group is shrinking. Educational attainment, cited as another important factor, again depicted statistically significant effect on people’s views. As the years spent in education increases, seeing disability as a disadvantageous criterion in the labor market is incremented. This finding is in line with the previous literature stating educational attainment increases the likelihood of seeing disability as a discriminatory criterion (Staniland, 2009; Broomley and Curtice, 2003; Ormstone, 2010; EORG, 2001; 2004). Complimentary findings also found for personal health condition and having familiarity with disability (EORG, 2001; Anderson, 2012; NDA, 2002; 2011; Broomley et.al, 2007). The perceived social level was only available for the 2009 and 2012 series. Results revealed that people from higher social levels are less likely to see disability as a disadvantage compared to lower social level. This finding was in line with the previous literature (EORG, 2001; 2004; Stanilan, 2009). It should be noted that the gap between low and high social levels are increasing. The occupational status is again cited as a factor that shapes attitudes towards disability (Ormstane, et. al, 2010; Staniland, 2009; EORG, 2001; 2004). Present analysis revealed that only the data from the 2012 set display complimentary findings. For the religious denomination, revised literature only cites the effect of frequency of the practicing (Broomley, and Curtice, 2003; Ormstone, et, al 2010; Bromley et at, 2007). Present analysis showed that religious denomination is an important factor which helps explain the differences in people’s views. Political orientation, once again, depicted a significant effect in participants view in three successive surveys. Compared to leftist, people who hold central political orientation and right wing political orientation are less likely to see disability as a disadvantageous criterion. These were to some extend in line with Svalford (1999) and Roosma’s (2012) policy analyses. Country level factors revealed that social democrat welfare states are more likely to see disability as a disadvantage. Compared to social democrat welfare states, people of liberal welfare states are least likely to see it as a disadvantageous criterion. Remembering the twoway interaction between policy processes and pubic attitudes, having differences as a function of welfare typology can be attributed to the reflection of institutional structures or 17 fundamental ethos of welfare state regimes that they belong to. In terms of the quota typology, compared with people who live in countries where there is no quota system for disabled people, people courtiers with quotas displayed lower chances of viewing disability as a disadvantage. All the parent variables for country level factors revealed consistent effect throughout the series. Finding significant effect of welfare regimes and quota scheme might be related with the relationship between institutional structure of a state and public perceptions. Having 27 percent lower likelihood in countries where quota scheme applies to both public and private sector might be brought about the air created by the applied system. People in those countries might hold the view that such measures would prevent people being discriminated against in the labor market. My personal opinion is that this is the foremost finding of the present analysis. The overall results imply that there is a sharp decrease, due to the ongoing global crises. This, in turn, might decrease the social pressure on policy makers. When the results of individual and country level factors evaluated together, it can be said that both are important in shaping people’s views on attitudes towards disabled people in the labor market. Furthermore, addition of country level factors created major increase in explained variances and it is consistent throughout the series. This can be interpreted as policies are still a deterministic relationship between policies and publics opinion. However, rather than having power to shape the policy making processes, public’s opinion is indeed shaped by policies. Recalling the country level factors’ findings, counties that governed by liberal welfare systems, and countries who employ private and public quota system are suggested to place an important focus on increasing awareness about the discrimination towards disabled people in the labor market. Similarly, European Union organizations and Member States may take present findings into account when planning intervention programs. Those individuals and countries that are less likely to see disability as a disadvantage should be focused more. The risk of creating a pseudo understanding in people’s mind that disabled people are less likely to be discriminated due to affirmative actions, should be given utmost care and the preventive measures should be added into the intervention programs to eliminate this risk. 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London: Sage. 23 ANNEXES 1- Variable Coding 2- Country Coding 3- Descriptive Statistics Results 4- Logistic Regression Results 5- EU Employment Outlook Betul Yalcin Table 1- Variable Coding Gender Female Male Age groups 15-24 yrs. 25-39 yrs. 40-54 yrs. 55 and older Schooling Period * Before 15 Before 20 After 20 Disability Non-disabled Disabled Proximity No acquaintance Have DP Acq. Social Level Low Middle High Occupational Status Manager Inactive Unemployed Employees Self Employed Politic Orientation Left Wing Central Right Wing Religion Christians Jewish Muslim Eastern Belief Systems Atheist/Agnostic/none Welfare Typology Liberal Conservative Social Democrat Post-Communist Quota Typology None Only Public Only Private Both 0 1 0 1 2 3 1 2 0 0 1 0 1 0 1 2 0 1 2 3 4 0 1 2 0 1 2 3 4 2 1 0 3 0 1 2 3 *People who are still under full time education was not included in the analysis, and set as system missing 25 Table 2 -Country Coding 1 France 2 3 4 Belgium Netherland Germany 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 Italy Luxemburg Denmark Ireland United Kingdom Greece Spain Portugal Finland Sweden Austria Cyprus Czech Republic Estonia Hungary Latvia Lithuania Malta Poland Slovakia Slovenia Bulgaria Romania Welfare ** 1 1 0 0 1 1 0 2 2 1 1 1 0 0 1 1 3 1 3 3 1 1 3 3 Quota *** 3 2 0 3 3 3 0 1 0 3 3 3 0 0 3 1 1 0 3 0 3 3 3 3 2 2 3 * * Welfare Typology: For welfare typology, OECD 2010 disability typology was the main reference. Additional typology, developed by Fenger (2007), was also employed when respective country was not listed under OECD 2010. Those countries which are not listed in either of typology set as system missing ***Quota Typology: Allocation of the quota typology was done according to Greve, 2009 and APPLICA, 2007 reports. Betul Yalcin Table 3 Descriptive Statistics Total Base 2006 Total Base Disadvantage No Disadvantage Yes % 47.3 52.7 % Female 57.2 46.9 53.1 55.7 Male 42.8 48 15-24 yrs. 12.5 25-39 yrs. 2009 Disadvantage No 2012 Disadvantage No Disadvantage Yes 42.8 % 57.8 42.2 57.2 42.8 54.1 57.6 42.4 52 44.3 57.2 42.8 45.9 58.0 42.0 41.3 58.7 12.3 53.4 46.6 11.5 55.4 44.6 24.2 44.8 55.2 23.3 56.3 43.7 22.7 57.7 42.3 40-54 yrs. 25.2 46.1 53.9 25.9 56.8 43.2 26 56.4 43.6 55 and older 38.1 51.8 48.2 38.4 59.1 40.9 39.8 59.4 40.6 Before 15 24.3 54.7 45.3 22.4 62.7 37.3 20.2 61 39 Before 20 46.2 48.1 51.9 46.8 58.3 41.7 47.5 58 42 After 20 29.4 42.4 57.6 30.8 52.1 47.9 32.3 56 44 Non-disabled 79.1 47.4 52.6 82.4 57.9 42.1 82.5 58.4 41.6 Disabled 20.3 46.9 53.1 17.6 52.8 47.2 17.5 54.1 45.9 Unfamiliar 45.4 49.5 50.5 41.8 59.7 40.3 37.5 60.4 39.6 Familiar 54.5 45.3 54.7 58.2 55.1 44.9 62.5 55.9 44.1 Low NA NA NA 24.7 57 43 24.2 55.5 44.5 Middle NA NA NA 49.2 57.2 42.8 49.8 57.9 42.1 High NA NA NA 26.1 55.4 44.6 26 58.4 41.6 EU Nation 27 57.2 Disadvantage Yes Total Base Gender Age groups Schooling Period * Disability Familiarity Perceived Social Level Occupational Status 27 Manager 10 55.9 9.9 53.8 46.2 9.8 Inactive 45.4 57.5 42.5 49.4 50.6 43.1 57.8 42,2 42.8 58.1 41.9 Unemployed 5.7 45.2 54.8 8.2 58.3 41.7 8.7 Employees 31.6 57.5 42.5 46.0 54.0 31.6 56.7 43.3 31.7 57.3 42.7 Self Employed 7.0 46.5 53.5 7.2 58.5 41.5 7.0 58.7 41.3 Left Wing 29.4 45.3 54.7 29.6 53.4 46.6 32.6 53.7 46.3 Central 42.5 47.2 52.8 40.6 56.3 43.7 40.8 57.4 42.6 Right Wing 28.1 48.2 51.8 29.7 57.6 42.4 26.6 59.4 40.6 80.6 48.5 51.5 79.5 58.5 41.5 76.7 58.7 41.3 64.5 35.5 .1 42.9 57.1 44.1 Politic Orientation Religious Denomination Christians Jew .1 40 60 .1 Muslim 1.1 57.0 43.0 1.3 62.3 37.7 1.2 60 40 Eastern Belief Sys .3 36.3 63.8 .3 56.7 43.3 .4 51.4 48.6 Atheist/Agnostic/no 18 42.5 57.5 18.8 50.9 49.1 21.6 53.4 46.6 Liberal 9.3 56.2 43.8 9.4 72.5 27.5 9.3 72.8 27.2 Conservative 47.4 49.6 50.4 47.4 60.3 39.7 47.3 57.5 42.5 Social-Dem 22.9 42 58 22.7 47.3 52.7 22.6 51.6 48.4 Post-Communist 20.4 43.9 56.1 20.5 56.6 43.4 20.8 60 40 None 27.7 42.1 57.9 27.7 50.6 49.4 27.8 55.2 44.8 Only Public 9.4 49.8 50.2 9.5 59.8 40.2 13.3 59.4 40.6 Only Private 11.5 41 59 11.3 52.6 47.4 11.5 53.2 46.8 Both 51.4 48.8 51.4 61.2 38.8 47.4 59.9 40.1 Welfare Typology ** Quota System *** 51.2 Betul Yalcin Table 4 Logistic Regression B Gender (1) (Ref, Females) -.052 SE .032 Sig .102 Exp(B) .949 B SE -.025 .032 .000 Age (Ref 15-24 yrs.) Sig .436 Exp(B) .975 B -.018 SE .031 Sig .564 Exp(B) .982 .000 .007 25-39 yrs. (1) -.138 .080 .087 .871 -.129 .078 .098 .879 -.017 .079 .833 .983 40-54 yrs. 2) -.238 .080 .003 .788 -.190 .077 .014 .827 .010 .078 .900 1.010 55>+ (3) -.375 .084 .000 .687 -.254 .082 .002 .776 -.195 .082 .018 .823 Disability (1) (Ref-Non) .135 .041 .001 1.144 .242 .043 .000 1.274 .170 .042 .000 1.185 Familiarity (1) .105 .032 .001 1.110 .129 .302 .000 .1.138 .151 .033 .000 1.163 (Ref-Non) Schooling period (Ref After .000 20 yrs.) .513 .000 Before 15 yrs. (1) -.272 .048 .000 .762 -.248 .050 .000 .781 -.040 .051 .427 .960 Before 20 yrs. (2) -.182 .038 .000 .834 -.144 .038 .000 .866 .013 .037 .729 1.013 NA NA NA NA Middle (1) NA NA NA NA -.044 .041 .284 .957 -.089 .040 .028 .915 High (2) NA NA NA NA -.069 .048 .154 .933 -.152 .048 .002 .859 Perceived Social Level (Ref-Low) Occupational Status (Ref- .575 Managerial) .007 .353 .269 .972 Inactive (1) .032 .060 .597 1.032 .014 .063 .818 1.015 .033 .062 .589 1.034 Unemployed (2) .129 .080 .108 1.137 -.002 .075 .976 .998 -.032 .073 .657 .968 .049 .053 .358 1.050 .017 .055 .752 1.018 -.046 .055 .401 .955 .065 .071 .361 1.067 -.022 .072 .756 .978 -.103 .073 .159 .902 White/Blue Colour Employees (3) Self Employed (4) Religious Denomination .002 (Ref-Christians) .283 .002 Jewish (1) .381 .473 .421 1.463 -.566 .468 .226 .568 .445 .510 .383 1.560 Muslim (2) -.565 .167 .001 .568 -.407 .157 .010 .666 -.162 .157 .302 .851 .435 .282 .123 1.545 -.348 .270 .198 .706 .342 .234 .145 1.408 .065 .042 .120 1.067 .102 .041 .014 1.107 .041 .039 .292 1.042 Eastern Belief Systems (3) Non/agnostic/athei st (4) 29 Political Orientation (Ref- .001 Left wing) .000 .000 Central (1) -.074 .038 .050 .929 -.085 .038 .027 .919 -.077 .037 .036 .926 Right wing (2) -.154 .042 .000 .857 -.180 .042 .000 .835 -.218 .041 .000 .804 .006 .003 .022 1.006 .001 .003 .725 1.001 .010 .003 .000 1.010 Nation EU 27 .000 Quota Typology (Ref- none ) .000 .000 Only Public (1) .031 .070 .657 1.031 -.108 .072 .134 .897 -.117 .064 .069 .889 Only private (2) .126 .072 .079 1.135 -.302 .071 .000 .739 -.094 .070 .178 .911 -.335 .050 .000 .715 -.475 .050 .000 .622 -.323 .050 .000 .724 Both private and public 3) Welfare Typology (Ref .000 Social Democrat) .000 .000 Conservative (1) -.113 .053 .033 .894 -.121 .053 .022 .886 -.079 .053 .140 .924 Liberal (2) -.615 .065 .000 .541 -1.068 .071 .000 .344 -.939 .067 .000 .391 Post-communist emerging (3) -.092 .069 .182 .912 -.141 .069 .040 .869 -.364 .067 .000 .695 .675 .104 .000 1.965 .495 .110 .000 1.640 .106 .110 .332 1.112 Constant x= Exp (B)-1x100 p=.500 (confidence interval level) Important note: Considering the system missing, individual and country level variables inserted into regression equation as presented. Betul Yalcin Table 5- EU Employment Outlook (LSF in Gammennos, 2011) COUNTRY Ireland-IE Romania-RO Greece-EL Malta-MT Hungary-HU Poland-PO Lithuania-LT Czech Rep-CZ Bulgaria-BG Belgium-BE Spain-ES United Kingdom Italy-IT Latvia-LV EU Portugal-PT Austria-AT France-FR Estonia-EE Slovenia-SI Slovakia-SK Sweden-SE Cyprus-CY Germany-DE Netherlands-NL Finland-FI Luxemburg-LU Denmark-DK UNEMPLOYMENT RATES ACTIVITY RATES EMPLOYMENT RATES NON DISABLED DISABLED DISABLED NON DISABLED DISABLED NON DISABLED 26.4 15.3 39.5 76.8 29.0 65.1 7.6 4.7 31.8 73.1 29.4 69.6 17.9 9.6 38.2 75.3 31.4 68.1 17.6 6.1 38.8 65.5 32.0 61.6 19.8 9.7 40.1 76.2 32.1 68.8 13.9 8.4 38.7 76.7 33.3 70.3 17.0 14.5 46.1 85.7 38.2 73.2 23.3 7.1 50.4 79.9 38.6 74.3 22.4 14.4 50.2 84.3 39.0 72.1 23.7 8.9 55.8 79.4 42.6 72.4 25.8 17.3 57.9 82.1 42.9 67.9 8.5 5.3 48.4 83.9 44.3 79.5 13.9 10.6 51.9 71.6 44.7 64.0 29.4 20.8 63.9 88.3 45.1 70.0 17.7 9.2 55.5 79.5 45.7 72.2 19.4 12.5 57.6 85.8 46.4 75.1 19.2 6.3 59.7 78.2 48.2 73.3 16.6 9.3 59.7 79.4 49.8 72.1 15.2 11.8 59.8 84.8 50.7 74.8 21.0 9.0 64.8 77.5 51.2 70.5 11.4 8.9 58.9 82.1 52.2 74.8 11.0 6.2 59.3 88.1 52.8 82.6 8.4 5.6 58.2 77.4 53.3 73.1 21.1 7.3 68.4 82.4 53.9 76.4 5.0 1.9 56.8 81.1 54.0 79.6 14.8 7.6 65.1 83.5 55.5 77.2 13.4 6.4 64.5 74.5 55.8 69.7 14.4 4.3 65.7 84.7 56.3 81.1 31