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    The relation between integration policy and majority attitudes toward

    immigration. An empirical test across European countries.

    Bart Meuleman & Tim Reeskens

    University of Leuven, Belgium

    Contact:[email protected]

    Abstract.

    Recently, students of attitudes toward ethnic minorities, immigrants and immigration have

    shown considerable interest in contextual factors that shape these attitudes. Various studieslead to the conclusion that ethnic diversity has a general negative effect on immigration

    attitudes. Yet, the currently available research has some shortcomings, as most of this

    research neglects the policy dimension. Potentially, migration and integration policies

    mitigate the negative effects of ethnic diversity. The case of Europe offers a unique

    opportunity to study the relation between integration policy and attitudes toward immigration,

    since the European countries have adopted specific integration regimes, despite the European

    Unions attempts toward harmonization of such policies.

    The data used in this paper are twofold. First, we will use the Migration Integration

    Policy Index (MIPEX) data (Niessen et al., 2007) to construct a typology of integration

    policies. This valuable data set consists of more than 140 indicators covering minority

    policies in diverse areas (such as labour market access or political participation) for 27

    European countries. In a second step, the obtained typology is linked to measures of attitudes

    toward immigrants. These measurements are taken from the European Social Survey.

    Merging MIPEX and ESS data allows a comparative analysis across more than 20 European

    countries.

    Key words: integration policy, attitudes toward immigration, perceived ethnic threat, Migrant

    and Integration Policy Index (MIPEX), European Social Survey (ESS)

    Paper gepresenteerd op de Dag van de Sociologie, 29 mei 2008, Leuven

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    Introduction

    Although migration is as old as mankind itself, migration flows into Europe have undeniably

    increased during the last decades (Hooghe et al., 2008). In 2006, net migration into the EU-27exceeded 1.6 million, which is almost six times more than the net immigration figure 20 years

    earlier.1 Europe has de facto become a continent of immigration, irrespective of whether

    policy-makers acknowledge this or not. The increased immigration flows make deep inroads

    on various domains of social life. In certain strata of the European population, anti-

    immigration development have arisen, often driven by the perception that immigrants threaten

    certain prerogatives of the own social group (Blumer, 1958).

    Social scientists of various disciplines have always shown great interest in public attitudes

    toward immigration, immigrant groups and ethnic minorities. Recently, considerable

    scholarly attention has been paid to the contextual factors that shape these attitudes

    (Scheepers et al., 2002; Coenders et al., 2004; Semyonov et al., 2004; Kunovich, 2004;

    Semyonov et al., 2006; Strabac & Listhaug, 2007; Sides & Citrin, 2007; Bail, 2008;

    Semyonov et al., 2008; Schneider, 2008). Taking group conflict theory (Blalock, 1967;

    Quillian, 1995) as a point of departure, several of these studies lead to the conclusion that

    ethnic diversity has a general negative effect on immigration attitudes among the majority

    population. Yet, the currently available research has some shortcomings, as most of this

    research neglects the policy dimension. However, migration and integration policies

    potentially mediate the relation between ethnic diversity and public attitudes toward

    immigration.

    This study attempts to fill out this lacuna by focussing on the connection between integration

    policies on the one side, and perceived threat and attitudes toward immigration on the other.

    For this purpose, a comparative stance is taken: we use data from over 20 European

    countriesalso including Eastern and Southern European countries that only started to

    experience substantial immigration very recently. The case of Europe offers a unique

    opportunity to study the relation between integration policy and attitudes toward immigration,

    since the European countries have adopted specific integration regimes, despite the European

    Unions attempts toward harmonization of such policies (Givens & Luedtke, 2004). In the

    past, various other studies have elaborated upon the nexus between integration policy and

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    attitudes (Castles, 1995; Castles & Alastair, 2000; Geddes, 2003; Lahav, 2004; Weldon,

    2006). Yet to the best of our knowledge, this is study is the first to provide a systematic

    empirical test taking such a diverse range of European countries into account.

    Concretely, this papers tries to answer to main research questions. First, we examine to what

    extent it is possible to distinguish different types of integration regimes within Europe.

    Therefore, we use data from the Migration and Integration Policy Index (MIPEX) (Niessen et

    al., 2007). This valuable data set consists of more than 140 indicators covering minority

    policies in diverse areas (such as labour market access or political participation) for 27

    European countries plus Canada. Second, we assess whether there exists a relation between

    the integration regime that a country adopts and measures of perceived ethnic threat and

    attitudes toward immigrants. These measurements are derived from the European Social

    Survey (ESS).

    1. Setting the scene: post-war immigration into European countries

    At the beginning of the 21st century, immigration into Europe has reached historically high

    levels. These immigration flows have not developed in a linear way during the last decades,

    nor have they set off at the same moment in various countries. This is illustrated by the net

    migration rates given in table 1, even though these figures can only sketch a very broad

    picture of immigration flows into Europe.

    Western and Central European countries were among the first to experience sizeable post-war

    immigration. Initially, these migration flows developed mainly through two mechanisms.

    First, former colonial powers such as the United Kingdom, France and the Netherlands

    granted special entrance rights to citizens from (ex-)colonies. Second, several countries

    actively recruited immigrants to tackle shortages on the post-war labour markets. These

    labour migrants originated mainly from the periphery of Europe (especially Southern

    European countries such as Spain, Portugal, Italy and Greece) or the Mediterranean area. In

    various countries, policy-makers thought of labour migration as a temporary phenomenon.

    However, what was intended as temporary migration often resulted in permanent settlement.

    Logically, the first wave of labour migration was followed by a second wave of family

    reunification.

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    Table 1. Yearly net migration per 1000 inhabitants (averaged over 5-year periods) for

    various European countries (source: Eurostat)

    60-64 65-69 70-74 75-79 80-84 85-89 90-94 95-99 00-04 05-06

    EU27 0.66 -0.12 0.14 0.50 -0.01 0.67 1.46 1.33 2.91 3.32

    Western & central Europe

    AT 0.13 1.36 2.54 -0.40 0.44 1.90 6.25 0.90 4.82 4.72

    BE 1.55 1.75 0.92 0.73 -0.72 0.83 1.87 1.07 3.13 5.11

    CH 10.17 2.81 0.42 -4.36 2.48 3.95 6.86 1.58 5.25 6.13

    DE 2.20 2.86 2.17 0.19 0.02 4.24 7.00 2.50 2.15 0.63

    FR . . . . . . . . 2.63 1.35

    IE -7.38 -5.11 3.34 3.12 -2.00 -9.19 -0.40 4.32 9.28 15.61

    LU 6.52 2.61 11.15 3.93 1.12 5.91 10.06 9.38 8.57 12.29

    NL 0.32 0.77 2.01 2.58 1.00 1.87 2.73 1.97 1.72 -1.03UK 1.11 -0.92 -0.57 -0.20 -0.61 0.40 0.39 1.39 2.89 3.59

    Scandinavia

    DK 0.19 0.20 1.30 0.38 0.21 1.24 2.05 2.98 1.63 2.27

    FI -2.49 -4.10 0.26 -1.55 0.85 0.49 1.78 0.81 1.01 1.84

    IS -0.77 -1.94 -1.78 -3.57 -0.01 0.34 -0.83 0.25 1.92 14.47

    NO -0.18 0.17 0.79 0.98 1.13 1.73 1.86 2.46 2.61 5.81

    SE 1.39 3.13 0.86 2.11 0.62 2.86 3.74 1.09 3.09 4.82

    Southern Europe

    CY -8.30 -3.57 -52.06 -2.20 -0.98 1.94 14.57 7.34 12.07 15.48

    ES -3.54 -0.92 -0.92 0.79 0.03 -0.51 1.26 3.25 13.08 14.76

    GR -4.97 -4.04 -2.81 6.06 1.84 2.43 8.55 5.76 3.31 3.64

    IT -1.81 -1.89 -0.90 0.06 -0.49 -0.05 0.38 0.79 5.59 6.53

    MT -17.95 -19.16 -8.50 -0.23 2.55 4.27 2.67 0.85 8.84 4.72

    PT -8.72 -19.11 -5.25 9.67 0.63 -3.20 -0.74 2.90 5.65 2.65

    Eastern Europe

    BG -0.01 -0.21 -0.88 -2.44 0.00 -5.77 -5.69 0.03 -5.32 -0.06

    CZ -1.73 -0.04 -2.20 0.21 -0.64 0.23 -0.56 0.98 0.40 5.01

    EE 6.68 7.26 5.26 3.61 3.52 2.29 -14.38 -6.17 0.12 0.12

    HU 0.00 0.18 0.00 -0.24 0.00 -3.67 1.76 1.70 1.25 1.74

    LT 0.98 1.31 2.66 1.25 1.95 3.47 -5.01 -6.28 -2.35 -1.85

    LV 8.08 5.00 4.89 3.48 2.54 4.34 -10.54 -3.52 -1.23 -0.53

    PL -0.25 -0.67 -2.24 -1.20 -0.67 -1.09 -0.39 -0.36 -2.43 -0.61

    RO -1.05 -0.18 -0.47 -0.47 -0.82 -0.87 -4.82 -0.55 -5.25 -0.20

    SI -1.21 1.87 0.66 5.91 0.03 3.14 -1.35 0.14 1.52 4.43

    SK 5.48 -1.20 -2.14 -0.63 -1.11 -0.67 -1.42 0.36 -0.60 0.87

    When severe economic crisis brought along rising unemployment figures during the early

    1970s, policy-makers made attempts to bring immigration flows to a halt by reducingpossibilities to obtain work permits or by meddling with special immigration rights for

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    citizens of former colonies. The UK was 10 years ahead of this tendency when the 1962

    Commonwealth Immigrants Act subjected citizens of independent Commonwealth countries

    to immigration controls (Geddes, 2003: 35). The net migration rates in table 1 show that these

    stricter regulations where successful at reducing immigration for a limited period of time. In

    some countries that attracted considerable immigration flows, such as the UK, Switzerland

    and Belgium, emigration even exceeded immigration in some years. However, the legal

    obstacles have not been able to prevent new immigration in the long term. Especially through

    the procedure of family reunification, people continued to settle in Europe.

    As table 1 indicates, a renewed increase of immigration has taken place from the 1990s

    onward. Various phenomena can account for this phenomenon. The start of the collapse of the

    Eastern bloc in 1989 set off immigration flows from Eastern Europe to other European

    countries. Economic malaise and political instability in the third world combined with

    increased availability of means of transportation and communication causes increasing

    numbers of people wanting to settle in Europe. Because other paths to legal entrance have

    become less accessible, this new immigration wave consists for a substantial part of asylum

    seekers and undocumented immigrants.2 Recently, migration has thus not only undergone

    quantitative but also qualitative changes. New is also that Western and Central Europe are no

    longer the primary destinations of immigration. In Southern Europe, for example, countries

    that were until 1975 true countries of emigration now attract the largest amounts of

    immigrants. Also in Eastern Europe, immigration has risen sharply during the last decade

    (Hooghe et al., 2008). Yet, this fact is masked in the net migration rates given in table 1, as

    immigration into Eastern Europe is largely compensated by emigration from this region to

    other European countries.

    2. Theoretical perspectives: integration policy and its relation to public attitudes

    2.1 Dimensions of integration policy

    European countries have dealt in very different ways with the consequences of post-war

    immigration (Castles, 1995). Policy responses vary with respect to the extent to which

    newcomers have access to political, cultural and social rights. Migrant integration policy can

    be thought of as a series of measures and interventions developed during the process

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    settlement of immigrants (Favell, 2001: 350-351). Integration policy usually contains a great

    many of such measures, and can therefore be decomposed into several dimensions. This paper

    does not try to give an exhaustive overview of possible dimensions, but instead focuses on

    five aspects that are most relevant in the light of our research questions. These dimensions

    are: (1) access to nationality, (2) political rights, (3) socio-economic rights, (4) cultural rights

    and (5) anti-discrimination legislation.

    Access to nationality is perhaps the most crucial dimension of integration policy.

    Naturalization entails the recognition of newcomers as citizens, i.e. members of the nation as

    a political community. Formally at least, becoming a citizen entails that one is granted equal

    political, cultural and social rights. Numerous studies have illustrated how conceptions of

    citizenship vary across European countries (Kohn, 1944; Brubaker, 1996; Weil, 2001;

    Shulman, 2002). Usually, a distinction is drawn between two archetypical citizenship models.

    Ethnic citizenship defines belonging to the nation in ethnic terms: having common ancestry is

    seen as a necessary condition to become a citizen. This ius sanguinis approach excludes

    immigrants with a different ethnic background as full members of the nation state by

    definition. Civic citizenship, the other extreme of the civic-ethnic continuum, is an inherently

    political form of citizenship. Rather than common descent, adherence to the political rules and

    legal norms is taken as the criterion for granting citizen-status. By consequence, In the past,

    Germany and France have often been cited as exemplary for the ethnic respectively civic

    model. Brubaker (1996), for example, argues that the distinct German and French conceptions

    of citizenship are dependent on the historical conditions in which these nation states

    developed. However, recent changes in citizenship rules have resulted in a shift toward the

    centre of the civic-ethnic continuum (Geddes, 2003), which makes clear that citizenship

    conceptions should not be treated as static.

    Integration is broader than access to nationality, however (Marshall, 1964; Entzinger, 2000;

    Baubck, 2001). Being a non-citizen does not necessarily mean that one is deprived of all

    rights. Hammar (1990) introduced the term denizen to denote persons with a legal and

    permanent resident status who enjoy certain rights, but who do not possess citizenship. In

    Europe, several millions of first, second and third generation immigrants can be considered as

    denizens (Castles & Miller, 2003). The rights that can be theoretically granted to non-citizens

    fall apart into three broad categories. A first category deals with the possibility for non-

    citizens to participate in political life and decision-making. These political rights self-

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    evidently include voting rights at various governmental levels, but could also imply

    consultation of representative organs of foreign residents. Socio-economic rights determines

    the extent to which non-citizens have access to the labour market and resources of the welfare

    system. Finally, cultural rights refer to the possibility for newcomers to maintain cultural

    differences and to form ethnic communities.

    Of course, granting certain formal rights to immigrants does not yet guarantee that these rights

    are also put into practice. For this reason, we also consider the presence ofanti-discrimination

    legislation to be an important dimension of integration policy. Such a legal framework could

    be a useful tool to enforce equal access to certain resources.

    2.2 A typology of integration regimes

    Students of integration policy have noticed that in practice, these different dimensions are not

    independent of each other, but that instead certain patterns recur. This has made it possible to

    construct a typology of ideal-typical integration regimes. Usually, three broad integration

    models3 are distinguished in the literature (see, for example: Castles, 1995; Koopmans &

    Statham, 2000; Castles & Alastair, 2000; Rex, 2000; Castles & Miller, 2003): differential

    exclusion, assimilation and multiculturalism or pluralism.

    In the differential exclusionist model, immigrants are incorporated in certain spheres of life,

    but are excluded from others. While they are typically given access to the labour market (and

    sometimes also to certain social rights that are associated with this position), immigrants are

    not considered as full members of the political community. Differential exclusion is based on

    a ius sanguinis conception of citizenship, which implies that access to nationality is reserved

    for those belonging to the same ethno-cultural group. Immigrants are also denied rights to

    political participation. The philosophy behind differential exclusionism is that immigrants are

    temporary guests on the labour market. By consequence, little initiatives are undertaken to

    facilitate long-term residence or family reunification or to combat discrimination. In the

    literature, Germany is regularly cited as the primary exponent of differential exclusionism

    (Castles, 1995; Koopmans & Statham, 2000; Castles & Miller, 2003). However, it should be

    noted that the 1999 and 2001 revisions of German naturalisation law signified a serious shift

    away from ethnic citizenship (Geddes, 2003: 95; Castles & Miller, 2003: 212). Guest-worker

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    recruiting countries such as Austria, Belgium and Switzerland, but also certain new

    immigration countries in Southern and Eastern Europe are generally considered as having

    differential exclusionist integration policies (Castles, 1995).

    Assimilationist integration policy is based on the premise that migrants can be socially and

    culturally absorbed into the host society through a one-sided process of adaptation. Contrary

    to differential exclusion, assimilation is thus embedded in a civic conception of citizenship.

    Assimilation aims at incorporating immigrants as fully fledged members of the political

    community, irrespective of their ethno-cultural background. Newcomers on the territory ( ius

    soli) are given ample access to nationality, as long as they are prepared to accept the political

    institutions of the country. Naturalization is thus the corner stone of the assimilation model,

    through which access to all other rights is given. No special provisions are made for

    immigrants that do not wish to naturalize, because assimilations attempts to prevent the

    formation of immigrant groups that are distinguishable from the rest of the population. Within

    the European context, France is most often put forward as exemplary for assimilationist

    policy. However, one could ask oneself to what extent France still corresponds to this ideal-

    typical description after changes in nationality legislation during the mid 1990s (Geddes,

    2003).

    The assimilationist and the multicultural model share their civic conception of citizenship.

    The key difference between these two integration regimes, however, is that the latter

    recognizes that immigrant groups form ethnic communities with distinct cultural and social

    practices. Furthermore, multiculturalism means that these ethno-cultural groups are given

    equal rights and treatment as the majority population in the different spheres of social life.

    This implies that multiculturalism scores high on the political, cultural and social rights

    dimension, and provides protection of these rights via anti-discrimination legislation. The

    multicultural approach also provides ample possibilities for naturalization, although this is not

    seen as a condition sine qua non for full participation in public life. In practice, many variants

    of the multicultural model exist, ranging from a laissez-faire approach in which difference is

    merely tolerated, to a more interventionist policy in which the state actively takes measures

    and changes its institutions to guarantee the equality of ethnic communities. In Europe,

    Sweden, the Netherlands and Great Britain are generally considered as examples of

    multicultural approach (Castles, 1995; Castles & Alastair, 2000).

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    The existing typologies have been criticized for various reasons. First, the ideal-typical

    integration regimes have too often been used as static and monolithic categories, thereby

    obscuring the dynamic character of integration policies. Above, some examples were already

    given of how changing legislation can cause countries to shift gradually in the direction of

    other integration models. An adequate account of integration policy should also take into

    account a distinct integration approach can be adhered to by different political actors, in

    various domains or with respect to diverse target groups (Koopmans & Statham, 2000: 20).

    Second, Entzinger (2000) argues that the often-used typologies underestimate complexity of

    immigration policies by focussing too much on a limited number of dimensionsuch as

    legislation with respect to naturalization or cultural rights for immigrant groupswhile

    neglecting other aspects that might be equally important (e.g. the social and economic

    domain). Finally, a too exclusive emphasis on integration policy typologies might give the

    impression that the national states are the only relevant actors concerning the integration of

    immigrants, which is clearly not the case. In the European context, the impact of the European

    Union on national policies should not be overlooked, even if harmonization efforts of the EU

    have until now focussed on immigrant policies rather than on integration policies. Besides

    that, the informality of the economy and the way in which the welfare system is organized can

    strongly affect the grip of national states on integration of newcomers in society (Geddes,

    2003).

    2.3 The relation between integration regime and majority attitudes toward immigration

    Various studies scholars have argued that there exists are relation between integration regimes

    on the one hand, and immigration-related attitudes that live among the majority population

    (Castles, 1995; Castles & Alastair, 2000; Geddes, 2003; Lahav, 2004; Weldon, 2006). Rather

    than trying to identify one clear-cut causal path, the connection between policy and attitudes

    should be conceived as a dialectical relation, with effects that run in various directions. Here,

    we discern three processes through which the link between policy and attitudes can operate.

    First, government policies often serve as a reference point for the public debate on integration.

    The vocabulary used by policy makers has an impact on the categories that the majority

    population uses to frame integration issues. The definitions employed in the official discourse

    play a crucial role in the social construction of good and bad types of immigrants (Geddes,

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    2003). Policy measures can be seen as institutionalized values with respect to the rights and

    duties of newcomers in society. Through processes of socialization that take place in different

    spheres of life, individuals internalize these values to a certain extent (Weldon, 2006). In this

    sense, policy measures and the discourse that is constructed to justify these measure can be

    seen a form of elite-discourse that influences mass opinion (Zaller, 1992). This idea is

    supported by the findings of Lahav (2004) that there is some coherence between attitudes of

    members of parliament and public opinion with respect to immigration.

    Second, integration policy can influence attitudes indirectly because it fundamentally shapes

    the context in which the relations between majority and minority groups take place, and

    therefore also influences the outcomes of such relations. Castles and his colleagues argue that

    certain integration policies prevent or conversely just stimulate ethnic minority formation

    (Castles, 1995; Castles & Alastair, 2000; Castles & Miller, 2003). In contrast to ethnic

    communities, ethnic minorities are not accepted as an integral part of society and therefore

    forced into a marginal position. Because differential exclusionism separates immigrants from

    the rest of the population in various spheres of life, this integration regime gives rise to the

    marginalisation of immigrant groups and to ethnic minority formation. Multicultural

    integration policies, on the other hand, recognize immigrant groups as equal but different

    parts of society and therefore lead to the emergence of ethnic communities. Although to a

    lesser extent than differential exclusionism, the assimilation model would also lead to ethnic

    minority formation. Paradoxically enough, policies that set out to assimilate immigrants have

    in practice often led to immigrant groups becoming marginalized, thereby leading to less

    integration than the multicultural model (Castles, 1995; Weldon, 2006). The formation of

    ethnic minorities rather than communities goes hand in and with the occurrence of anti-

    immigrant attitudes and racist violence. Besides self-definitioni.e. the development of a

    collective identity as an ethnic group, ethnic minority formation also includes an aspect of

    other-definition: the dominant group imposes its demarcation of ethnic minorities on

    subordinate groups. This process involves stereotyping and the development of negative out-

    group attitudes (Castles & Alastair, 2000).

    In the two processes sketched above, integration policy is thought to have consequences for

    attitudinal dispositions of the majority population. Nevertheless, there are good arguments to

    believe that this relationship also runs in the other direction. In countries where anti-

    immigrant attitudes are widespread, policy makers can be tempted to introduce integration

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    policies that tend towards differential exclusionism, out of fear for losing votes to extreme-

    right wing parties with a vigorous anti-immigration programme. In contradiction with this line

    of thinking, Freeman (1995) argues that public opinion only has a minor impact on

    immigration-related policies.

    3. An empirical test of the typology of integration regimes

    In the first empirical part of this paper, we test whether the typology of integration regimes

    presented above provides a useful analytical tool to understand the integration policies of the

    various European countries. For this purpose, data from the Migration Integration Policy

    Index (MIPEX) (Niessen et al., 2007) is used. MIPEX gives a comparative overview of

    integration policies in 25 EU-member states and 3 non-EU countries. In total, this index takes

    over 140 different indicators are taken into account, which makes it possible to sketch a

    nuanced and relatively complete picture of the policy measures with respect to the

    participation of immigrants in various social spheres.

    MIPEX refers to six policy strands: (1) access to the labour market; (2) long-term residence;

    (3) family reunification; (4) political participation; (5) access to nationality; (6) anti-

    discrimination. Each of these strands is divided into several subcategories, such as the

    conditions that need to be fulfilled by immigrants to obtain certain rights or the security of

    these rights, once they are granted (see table 2 for an overview). Each of these subcategories

    is then operationalized by several indicators, referring to a specific policy measure. For every

    indicator, a score between 1 (worst practice) and 3 (best given) was given by a panel of

    experts. A complete list of indicators can be found at the MIPEX-website:

    http://www.integrationindex.eu.

    Thus, MIPEX grasps several of the integration policy dimensions that were mentioned in the

    theoretical part above. Unfortunately, two dimensions have not been covered

    comprehensively. Labour market access and the rights associated with this cover only one

    albeit the most fundamental oneaspect of social rights. Unfortunately, MIPEX does not

    consider cultural rights to be a separate policy strand, and therefore pays only little attention

    to this topic. The only indicators that refer to cultural rightsbe it only indirectly and very

    partiallyare integration conditions to obtain a certain status. Very probably, these aspects

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    have been omitted from MIPEX because in these domains it is notoriously difficult to obtain

    comparable measurements for this domain.

    Table 2. Strands and subcategories included in the Migrant Integration Policy Index

    Strand 1: Labour market access Strand 4: Political participation

    Eligibility formal political rights

    labour market integration measures informal political rights

    security of employment consultative and advice bodies

    rights associated with status implementation policies

    Strand 2: Family reunion Strand 5: Access to nationality

    eligibility for sponsor eligibility

    eligibility for family members conditions for acquisition of status

    conditions for acquisition of status security of status

    security of status dual nationality

    rights associated with status Strand 6: Anti-discrimination

    Strand 3: Long term residence definitions and concepts

    Eligibility fields of application

    conditions for acquisition of status enforcement

    security of status equality policies

    rights associated with status

    Despite these shortcomings, we believe that the MIPEX data give us the possibility to test

    empirically whether the typology of integration regimes is a useful tool to gain understanding

    in integration policies that the European countries have adopted. By means of latent class

    analysis (LCA) (McCutcheon, 1987), we examine whether it is possible to distinguish a small

    number of interpretable types of integration policy. LCA is a statistical method for finding

    unobservable subtypes in multivariate data. In this case, for example, we want to distinguish

    countries with a similar integration regime. However, the integration regime is not observed

    directly, but indicated indirectly via policy indicators. In a certain sense, LCA can be seen as a

    confirmatory factor analysis where the latent factor is categorical rather than metric (this is

    the Mplus approach, see: Muthn & Muthn, 1998-2006). LCA differs from crisp cluster

    techniques because rather than allocating every observation unambiguously to a certain

    cluster, the model estimates the probabilities of belonging to the latent classes. This fuzzy

    cluster approach provides an answer to the above-mentioned critique that typologies often

    obscure the fact that some countries can have elements that belong to more than one

    integration regime.

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    Rather than the individual indicators, we use average scores for each of the six policy strands

    as input variables for the LCA.4 These averages were rescaled so that all scores range between

    0 (maximal exclusion) and 10 (maximal inclusion).5 Mplus 4.0 (Muthn & Muthn, 1998-

    2006) was used to estimate the model. A model with three latent classes provides the best

    solution, judging by statistical criteria as well as in terms of interpretability.6

    The interpretation of the latent classes can be derived from the estimated class means on the

    six policy strands. These means are represented graphically in figure 1. The first class scores

    high on all variables, meaning that the countries in this class have adopted inclusive policies

    with respect to all measured domains of integration policy. These countries havecompared

    to the other countries in the study at leastgenerous procedures for naturalisation. At the

    same time, non-nationals have relatively easy access to the labour market, political

    participation, family reunification and long-term residence. Indeed, this latent class bears a

    strong resemblance to the multicultural integration regime. Not surprisingly, countries that are

    often referred to as exponents of multicultural policy, such as Sweden, the UK and the

    Netherlands (Castles, 1995; Geddes, 2003) are most likely to belong to this first latent class.7

    Also Belgium, Norway and Finland and three new immigration countries in Southern Europe,

    namely Portugal, Spain and Italy, are strongly connected to the first latent class (see figure 2).

    As figure 1 makes clear, the second class is the very opposite of latent class 1. With respect to

    all policy dimensions, class 2 has a significantly lower average than class 1, meaning that

    immigrants are given are given access to far less rights. This second latent class shows certain

    similarities with the differential exclusionist integration regime. The restrictive naturalisation

    procedures and the very low levels of political participation reflect the conception of

    immigrants as temporary guests that should not be granted full citizenship. However, there

    also exists a remarkable contradiction between latent class 2 and differential exclusion. The

    countries in latent class 2 have a low score on the labour market dimension, while the model

    of differential exclusion precisely predicts that labour market is the key domain to which

    immigrants are given access. Rather than differential exclusion, the countries in latent class 2

    have adopted policies aimed at full exclusion. One could argue that this contradiction between

    latent class 2 and the theoretical model of differential exclusion is related to the specific

    operationalization of the labour market dimension in MIPEX. After all, not only the

    possibility to enter in the labour market, but also rights and security associated with this are

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    measured. But even when eligibility for access to the labour market is analysed separately, the

    same pattern is retrieved: class 2 scores significantly lower than class 1.

    All Eastern European countries in the study are most likely to be members of latent class 2.

    This is in line with the literature that states that an ethnic conception of citizenship is typical

    of Eastern European countries (Castles, 1995). It is striking to see that these countries have

    adopted a very different approach to migrant integration compared to other countries that only

    have become countries of immigration very recently, such as Portugal, Italy and Spain. Apart

    from the Eastern European countries, also Austria, Denmark and Greece and Malta are close

    to latent class 2. This makes the exclusionism the most widespread integration regime among

    the countries under study.

    Figure 1. LCA solution estimated class means on the 6 policy strands (with 95%

    confidence intervals)

    0

    1

    2

    3

    4

    5

    6

    7

    8

    9

    10

    Labourmarket

    Acces

    Familyreunion

    Longterm

    residence

    Political

    participation

    Accessto

    nationality

    Anti-

    discrimination

    Class1 Class2 Class3

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    Figure 2. LCA solution most likely latent class membership for 27 European countries

    The third and smallest latent class takes a position in between the two previous ones. Alike

    class 2, this policy type only offers limited access to the labour market and to family reunion.

    Yet at the same time latent class 3 shares high average scores on the nationality and political

    participation dimension with class 1. Only with respect to long-term residence, class 3

    occupies an extreme position: this integration type includes the most restrictive procedures for

    long-term residence of all countries. At first sight, the low scores on the long-term residence

    dimension combined with generous naturalisation legislation might show resemblance to

    assimilationist policy. After all, assimilation is based on propositions that integration should

    be conveyed through naturalization and that no special provisions should be made for

    immigrant groups. Yet, the high score on political participation contrasts sharply with the

    assimilation model. A more accurate interpretation of latent class 3 can perhaps be given by

    identifying which countries have the highest probabilities of belonging to this class: Germany,

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    France, Ireland, Luxemburg and Switzerland. Historically, these countries adhered to very

    different conceptions of nationhood. Nevertheless, they have in common that they figure

    amongst the countries with the largest foreign born populations in Europe. Apart from Ireland

    that has only started to experience sizeable immigration flow more recently (Hooghe et al.,

    2008), these countries belong to the classic European immigration countries. Being

    confronted with relatively large immigrant populations, the governments of these countries

    were compelled to give access to nationality and to provide some opportunities for political

    participation. This is even the case for Germany, a country that has often been considered as

    the typical example of differential exclusion. At the same time, these countries have

    apparently tried to contain further immigration by limiting labour market access, long-term

    residence and family reunification.

    This latent class analysis has yielded several interesting insights. First, it has become clear

    that despite attempts to harmonize European policies, very different integration regimes can

    be discerned within Europe. While some countries have adopted relatively inclusive

    integration policies, othersespecially in Eastern Europehave taken an exclusive stance on

    all measured policy dimensions. A third integration regimes scores high on political

    citizenship (naturalization and political participation), while more restrictive procedures are

    employed for other dimensions such as labour market access and family reunification.

    Nevertheless, migrant integration policy in practice does not correspond fully with the

    theoretical integration models that are proposed in the literature. Instead of differential

    exclusion, undifferentiated exclusionist policies (i.e. restrictive policies on all dimensions) are

    found to be quite widespread in Europe. Furthermore, there is little evidence for the existence

    of the assimilation policy model in contemporary Europe. Instead, a latent class that stresses

    political citizenship is found. These countries have generous naturalization procedures and

    offer non-nationals opportunities to participate in political life, but score low on the other

    dimensions. It is also interesting to see how Germany and Francetwo countries that are

    often presented in the literature as having antipodal integration regimesare most likely to be

    members of the same latent class, namely the one with political citizenship. Recent changes in

    the legislation of these countries (Geddes, 2003; Castles & Miller, 2003) have apparently

    resulted in a convergence of integration policy. To account for these findings, certain aspects

    of theory on integration models need to be qualified.

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    Finally, it is very interesting to see how new immigration countries have developed very

    different responses to the rising immigration flows they are confronted with. While most

    Southern European countries, such as Portugal, Spain and Italy have adopted a more

    multicultural integration regime, Eastern European states have reacted rather uniformly with

    exclusionists policies. Explanations for these different approaches might be sought in the

    tradition of ethnic nationalism in Eastern Europe or in the experience of mass emigration that

    Southern European countries lived through in the post-war period, although the case of

    Greece contradicts this latter explanation.

    4. An empirical test of the relation between policy and attitudes

    The typology of integration regimes that was derived in the previous paragraph renders it

    possible to perform an empirical test of the relation between integration policy and attitudinal

    variables, such as attitudes toward immigration or the perception of ethnic threat. For this

    purpose, we make use of data of the first round (2002-03) of the European Social Survey

    (ESS).8 The ESS is an academically-driven survey project that was fielded in 21 European

    countries that are also present in the MIPEX data. These countries and their respective

    effective sample sizes are: Austria (AT) (2,257), Belgium (BE) (1,899), Czech Republic (CZ)

    (1,360), Denmark (DK) (1,506), Finland (FI) (2,000), France (FR) (1,503), Germany (DE)

    (2,919), Great Britain (GB) (2,052), Greece (GR) (2,566), Hungary (HU) (1,685), Ireland (IE)

    (2,046), Italy (IT) (1207), Luxemburg (LU) (1552), Netherlands (NL) (2,364), Norway (NO)

    (2,036), Poland (PL) (2,110), Portugal (PT) (1,510), Slovenia (SI) (1,519), Spain (ES)

    (1,729), Sweden (SE) (1,999), and Switzerland (CH) (2,037). The data were taken from the

    website http://ess.nsd.uib.no.

    ESS round 1 contains an elaborate module of over 50 items dealing with various aspects of

    attitudes toward immigration. In this part, we will mainly focus on three different scales

    measuring the perception that immigrants form a threat to economic (ECOTHREAT) or

    cultural prerogatives (CULTHREAT) and the rejection of new immigration into the country

    (REJECT). Question wordings for these items are given in table 3. By means of multi-group

    confirmatory factor analysis, the quality and the cross-cultural measurement equivalence of

    these scales was tested.

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    Table 3. Question wordings of the items

    Question wording Answer categories

    To what extent do you think [country] shoud allow people

    D4. ... of the same race or ethnic group from most [country] people tocome and live here?

    D5. ... of a different race or ethnic group from most [country] people tocome and live here?

    D7. ... from the poorer countries in Europe to come and live here?

    D8. ... from the richer countries outside Europe to come and live here?

    D9. ... from the poorer countries outside Europe to come and live here?

    D10. ... have good educational qualifications?

    D11. ... have close family living here?

    D12. ... be able to speak [country language]?

    REJECT

    D16. ... have work skills that [country] needs?

    1 (many), 2 (some), 3(a few), 4 (none)

    D. 19 People who come to live and work here generally harm the

    economic prospects of the poor more than the rich

    D21. If people who have come to live and work here are unemployed

    for a long period, they should be made to leave.

    1 (agree strongly) to 5(disagree strongly)

    D25. Would you say that people who come to live here generally takejobs away from workers in [country], or generally help to create newjobs?

    0 (take jobs away) to 10(create new jobs)

    D26. On balance, do you think people who come here take out more

    than they put in or put in more than they take out?

    0 (generally take outmore) to 10 (generally

    put in more)

    ECON

    D27. Would you say that it is generally bad or good for [country]economy that people come to live here from other countries?

    0 (bad for the economy)

    to 10 (good for the

    economy)

    D28. Would you say that [country] cultural life is generally underminedor enriched by people coming to live here from other countries?

    0 (cultural life

    undermined) to 10(cultural life enriched)

    D40. It is better for a country if almost everyone shares the same

    customs and traditions.CULT

    D41. It is better for a country if there are a variety of different religions.

    1 (agree strongly) to 5(disagree strongly)

    As a first step in this analysis, we test whether the latent class a country (most likely) belongs

    to relates to the country-level means on the three attitude scales. The country means used here

    are latent means estimated with LISREL 8.7. Because age, gender and education are known to

    have an impact on attitudes toward immigration, observed differences in the country means

    could be (partly) due to the fact that the distributions of these variables differ across countries.

    As this analysis focuses on contextual rather than individual explanations, we decided to

    eliminate this part of the country-level variance by controlling for age, gender and education.

    All latent presented latent means are thus adjusted for age, gender and education. The relation

    between latent class and the attitude scales is tested by means of a non-parametric test,

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    namely the Kruskal-Wallis test (Kruskal & Wallis, 1952).9 This test is essentially a one-way

    ANOVA on the rank scores of the countries. For each of the three latent classes, table 4 gives

    the mean rank score (mean score), the sum of rank scores (sum of scores), the expected sum

    of scores under the hypothesis that the three classes have the same median on the attitude

    scale (expected under H0) and the standard deviation of the sum scores (standard deviation

    under HO). The last column of the table provides the results of a statistical test for the

    hypothesis that the median is equal across the three latent classes.

    Table 4. Nonparametric tests for the relation between most likely latent class

    membership and attitude scales

    REJECT (adjusted for age, gender and education)

    Wilcoxon scores (rank sums)

    NMean

    score

    Sum of

    scores

    Expected

    under

    H0

    Standard

    deviation

    under H0

    Kruskal Wallis

    test

    Class 1 9 9.00 81.00 99.00 14.06 Chi = 2.6216

    Class 2 7 14.00 98.00 77.00 13.40 Df = 2

    Class 3 5 14.40 52.00 55.00 12.10 p-value = 0.2696

    ECOTHREAT (adjusted for age, gender and education)Wilcoxon scores (rank sums)

    NMean

    score

    Sum of

    scores

    Expected

    under

    H0

    Standard

    deviation

    under H0

    Kruskal Wallis

    test

    Class 1 9 8.33 75.00 99.00 14.07 Chi = 5.1889

    Class 2 7 15.29 107.00 77.00 13.40 Df = 2

    Class 3 5 9.80 49.00 55.00 12.11 p-value = 0.0747

    CULTHREAT (adjusted for age, gender and education)

    Wilcoxon scores (rank sums)

    NMean

    score

    Sum of

    scores

    Expected

    under

    H0

    Standard

    deviation

    under H0

    Kruskal Wallis

    test

    Class 1 9 9.06 81.50 94.50 13.16 Chi = 4.7082

    Class 2 7 14.29 100.00 73.50 12.61 Df = 2

    Class 3 4 7.13 28.50 42.00 10.58 p-value = 0.0950

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    On average, countries with an inclusive integration regime (class 1) appear to have a lower

    mean rank score on REJECT than countries in the other two classes. This means that class 1

    countries figure more often at the lower end of the country ranking, and consequently that

    resistance against immigration is lower among the populations of these countries. However,

    the Kruskal-Wallis test indicates that these differences are not statistically significant. There

    exists stronger evidence for a connection between integration regimes and perceived ethnic

    threat. The country-means of both ECOTHREAT and CULTHREAT are significantly

    different across the latent classes. Countries that are most likely to be members of the second

    latent class have substantially higher mean rank scores on these scales than latent classes 1

    and 3. Perceptions that immigration poses serious threats to economic and cultural goods are

    thus more widespread in countries with exclusive integration policies. Between the other two

    classes, only minor and statistically insignificant differences are present, although latent class

    1 scores somewhat higher on cultural threat and slightly lower on economic threat.

    Apart from calculating average rank scores for the latent classes, it can be enlightening to

    have a closer look at the position of the countries separately. Figure 4 plots most likely latent

    class membership against the latent mean scores on the attitude scales. The figure confirms

    the conclusion that integration policies are stronger related to perceptions of economic threat

    than to the rejection of immigration. Indeed, the location of the latent classes lies clearly

    further apart for ECOTHREAT and CULTHREAT than for REJECT. In Norway and

    Swedentwo countries with more inclusive integration policies (latent class 1)the

    population is least prone to ethnic threat percpetions. On the contrary, perceived ethnic threat

    is most widespread in Greece, Slovenia, Poland and Hungary, four countries that have

    adopted exclusive integration policies (latent class 2). Nevertheless, there is one clear

    exception to the observed relation between perceived ethnic threat and integration regimes,

    namely Denmark. While this country has adopted exclusive integration policies, the level of

    perceived ethnic threat is among the lowest in Europe.

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    Figure 3. The relation between integration regimes and attitude scales

    AT

    BE

    CH

    DE

    DK

    ES

    FI

    FR

    GB

    GR

    HU

    IE

    IT

    LU

    NL

    NO

    PL

    PT

    SE

    SI

    CZ

    -1.4

    -1.2

    -1

    -0.8

    -0.6

    -0.4

    -0.2

    0

    0.2

    0.4

    0 1 2 3 4

    Most Likely Latent Class

    LatentmeanonREJECT(adjus

    tedforage,genderandeducatio

    n)

    ATBE

    CH

    DE

    DK

    ES

    GB

    GR

    HU

    IE

    IT

    LU

    NO

    PL

    PT

    SE

    SI

    CZFI

    FR

    NL

    -0.80

    -0.60

    -0.40

    -0.20

    0.00

    0.20

    0.40

    0.60

    0.80

    1.00

    0 1 2 3 4

    Most Likely Latent Class

    LatentmeanonECOTHREAT(adj

    ustedforage,genderandeduca

    tion)

    -0.8

    -0.6

    -0.4

    -0.2

    0

    0.2

    0.4

    0.6

    0.8

    0

    La

    tentmeanonCULTHREAT(adju

    stedforage,genderandeducat

    ion)

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    22

    As a second step in this analysis, we assess how each of the six policy strands that are covered

    in MIPEX relates separately to the attitude scales. For this purpose, the correlation between

    the country rank order the attitude scales and the MIPEX policy strand scores is calculated

    (Spearman, 1987). Only a limited number of aspects of integration regimes turn out to be

    related to the attitude scales. The extent to which third country nationals are given access to

    the labour market correlates significantly (=.10) with REJECT and ECOTHREAT.

    Resistance against immigration and the perception of economic threat are less prevalent in

    countries with inclusive labour market integration policies. It is not surprising that the

    correlation with perceived cultural threat is less strong, since labour market is pre-eminently

    an aspect of the economic sphere. Besides labour market policies, also the political

    participation dimension is correlated with certain attitude scales. In countries that offer third

    country nationals relatively open access to political participation, lower levels of both

    economic and cultural threat are registered.

    Table 5. Spearman Rank Order correlations (p-values between brackets) between the

    MIPEX policy strands and attitude scales (adjusted for age, gender and education)

    REJECT ECOTHREAT CULTHREAT

    -0.44 -0.43 -0.21Labour market access(0.0474) (0.0540) (0.3732)

    -0.42 -0.20 -0.15Family reunification

    (0.0595) (0.3753) (0.533)

    -0.23 -0.19 0.07Long term residence

    (0.3229) (0.4203) (0.7574)

    -0.37 -0.71 -0.57Political participation

    (0.1024) (0.0003) (0.0085)

    -0.20 -0.05 -0.19Access to nationality

    (0.3831) (0.8447) (0.4277)

    0.18 0.13 0.20Anti-discrimination

    (0.4299) (0.5747) (0.3995)N 21 21 20

    These analyses yield several interesting conclusions. Empirical evidence is presented for a

    relation between the integration regimes that countries have adopted on the one hand, and

    public immigration attitudes. Inhabitants of countries with exclusive immigration policies

    perceive immigrants more frequently as a threat to certain prerogatives such as cultural and

    economic goods. Between countries of the other two latent classes, no significant differences

    were detected. The relation between policy and attitudes can be predominantly attributed to

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    23

    one specific policy dimension, namely political participation. Populations of countries with

    ample opportunities for newcomers to participate in political life exhibit lower levels of

    perceived ethnic threat. Although political participation is probably not the policy strand with

    the largest practical impact on the lives of immigrant populations, this turns out to be a factor

    of crucial importance for understanding the attitudes of the majority populations. This is

    perhaps the consequence of the fact that granting voting rights to immigrants is a highly

    mediatised topic in many countries.

    However, the finding that a relation between integration policies and attitudes exists does not

    tell us anything about the causal direction of this relation or the specific processes through

    which the influence takes place. Unfortunately, the data presented here does not allow us to

    discriminate between all possible processes that were made explicit in the theoretical part of

    this paper. Nevertheless, the empirical evidence presented here completely contradicts an

    often-cited theoretical framework, namely group conflict theory (Blalock, 1967; Quillian,

    1995). This theory predicts that inclusive integration policies will increase the level of

    competition between minority and majority groups, and therefore also the perception of ethnic

    threat among the latter. We, on the other hand, clearly find that countries with more inclusive

    integration policies are precisely characterized by lower levels of perceived ethnic threat.

    More open policies thus do not necessarily have to lead to a so-called white backlash.

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    Endnotes

    1 These figures were retrieved from the Eurostat website (http://epp.eurostat.ec.europa.eu).2 For obvious reasons, movements of undocumented immigrants are not registered and thus cannot be deduced

    from the figures in table 1.3

    Some authors also mention a fourth type of integration policy, namely total exclusion (Castles, 1995; Rex,2000). However, this integration model is not discussed here as it has not been applied in post-war Europe.4 It would be very interesting to analyze individual indicators rather than strand averages, and see how theybehave across integration regimes. However, due to the small number of observations (27 countries), it isimpossible to include over 100 variables in the analysis.5

    25 out of 141 indicators had a missing value for at least 1 country. These variables were excluded from theanalysis. The items with missing values refer to policy measures at regional level (not applicable to all countries)or to specific characteristics of integration assessment as a condition for acquiring a certain status. A side effectof these omissions is that our analyses put less stress on integration tests than the policy strand averages reportedby MIPEX.6 MLR estimation with random starts was used (Muthn & Muthn, 1998-2006). With 26 free parameters, thethree-class model has Loglikelihood value of -274.431. The bootstrapped parametric Loglikelihood ratio testshows that a model with 2 classes has a significantly (p