The connection between life satisfaction and material aspirations

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    Tams Keller

    The connection between life satisfaction and material aspirations

    A theoretical dilemma and some solutions

    In seeking to answer the question of whether income brings happiness, Richard Easterlin

    (1974, 1995) found a paradox. Within a given country, higher-income respondents usually

    reported greater happiness; however in cross-country comparison if aggregate income in a

    country rises, happiness does not necessarily follow.

    Both theoretical and empirical social research provides a number of explanations for this

    paradox (see Ferrer-i-Carbonell, 2005: 9889). Of these, it is indisputably relative income

    theory that has evoked the most attention. According to this argument, happiness depends not

    on absolute, but on relative income. If the level of income rises against that of a specific

    reference group, that creates happiness; however, if everybodys income rises and the relative

    income differentials between individuals stay constant, that does not lead to happiness. Inother words, the positive effect of income on happiness is counterbalanced by the negative

    effect of relative income (Easterlin, 1995: 36). The results of empirical research, however, are

    somewhat ambiguous. Senik (2004) found a positive connection between relative income and

    happiness. She argued that, in uncertain economies like Russias, the rise in income in the

    reference group might be associated with a forecast rise in the individuals own income,

    which may be understood as a kind of tunnel effect, as posited by Hirschman (1973).

    Testing the same question on German data, Ferrer-i-Carbonell (2005) estimated the impact of

    relative income to be negative: its impact in western Germany was greater than that of

    income; however, this did not hold in eastern Germany. A negative relationship between

    satisfaction and relative income has been found by other scholars as well (McBride: 2001;

    Hajdu and Hajdu: 2011).

    Another solution to the Easterlin paradox is that if income rises, so do income

    aspirations, and rising aspirations counterbalance the positive income effect (Easterlin, 1995:

    41). This logic has received much less attention in the social research; however, theoretically

    it is also well founded. Brickman and Campbell (1971) developed the concept of the hedonic

    treadmill, according to which humans adapt very quickly to change in their objective

    circumstances, so that any gain in satisfaction lasts only for a while. The impact of income

    aspirations on life satisfaction seems to have been tested only once by Stutzer (2004), using

    Swiss data. According to his findings, income aspirations decrease life satisfaction by about

    the same magnitude as income increases it. According to the authors argument, the extent of

    income aspirations may be influenced by the income-comparison effect (i.e. relative income):people living in richer regions usually have higher aspirations, and this continues even after

    controlling for the difference in living standards between rich and poor regions. In this article

    we will shed light on the negative relationship between income aspirations and life

    satisfaction.

    Data

    The data come from the Special Eurobarometer survey, which is a harmonized survey carried

    out in the 27 Member States of the European Union. In this analysis we use the merged

    dataset for two surveys carried out in 2009 (reference number: 321, wave number: EB.72.2)

    and 2010 (reference number: 355, wave number: EB.74.1).

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    To measure life satisfaction, we used the following question:All things considered, how

    satisfied would you say you are with your life these days? Please tell me on a scale of 1 to 10,

    where 1 means you are very dissatisfied and 10 means you are very satisfied. The

    literature is not totally agreed either on whether subjective well-being should be measured by

    life satisfaction (Hajdu and Hajdu: 2011) or by happiness (McBride: 2001), or on whether

    ordinal or cardinal utility function should be used. In this article we focus on life satisfactionand do not seek to link this concept to subjective well-being by formulating any specific

    assumptions, like Ferrer-i-Carbonell (2005: 103).

    Income aspiration was measured using a question about minimum income: In your

    opinion, what would be the very lowest net monthly income that your household would need

    in order to have a minimum acceptable standard of living, given the present circumstances

    and composition of your household? This is net income (in Euros) after tax and social security

    contributions have been deducted, and once any social benefit entitlements are included. This

    income was converted to equivalized income by dividing minimum income by the square root

    of the size of the family. All figures were converted to 2010 prices using the inflation rate for

    each country. Stutzer (2004) used a similar question, and he found that the minimum income

    considered necessary was lower than the actual disposable income, and hence was only animperfect proxy for income aspirations (basically the same result as in our analysis, see

    Figure 1). However, higher disposable income is paralleled by a higher aspiration for

    minimum income; this means that minimum income is viewed as relative, which makes it

    appropriate to measure aspirations.

    Unfortunately, there is no information about actual household income in the

    Eurobarometer survey. The only available question asks the respondent to place him or

    herself on a scale of 1 to 10, where 10 represents a very high standard of living. With this

    subjective scale, the impact of income cannot be distinguished from the impact of satisfaction

    with the income. Using this question as a proxy for the material circumstances of the

    household means overestimating its impact: for example, those who are not satisfied with

    their income will probably rate the material circumstances of the household lower than those

    who are satisfied. Though nothing can be done about it, we need to acknowledge the problem.

    The dataset contains information about satisfaction with the standard of living, but it would be

    wrong to control for that, since we cannot be sure whether income or satisfaction with income

    enhances life satisfaction (in other words the impact of income very likely incorporates the

    impact of the satisfaction with it). If we controlled for satisfaction with the standard of living,

    the impact of household material circumstances would be underestimated; moreover we could

    not be sure that the dependent variable (life satisfaction) is independent of that (it may well be

    that these two variables are strongly interrelated).

    The empirical analysis

    The aim of this paper is to find out whether the negative relationship between income

    aspirations and life satisfaction is common across European countries. The answer to this

    question isyes or more precisely, yes, but... To arrive at an appropriate answer, we need to

    clarify other questions as well: Are income aspirations connected to the material

    circumstances of the household in other words, do people adapt to a given standard of

    living? If people do adapt (for example, if higher material circumstances go together with

    higher aspirations), how frequently do the aspirations exceed the level of material resources?

    Furthermore, what is the impact of such excessive aspirations (and indeed of income

    aspirations generally) on life satisfaction? And finally, what differences are to be found in the

    impact of income aspirations?

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    Let us answer these questions one by one. In Figure 1, equivalized net household

    income (data from EU-SILC) is plotted against income aspirations (equivalized net minimum

    income). One can see a relatively strong positive relationship: in better-off countries (x-axis)

    people require a higher minimum income (y-axis). However, it is also noticeable that in richer

    countries (where disposable income is more than EUR 1,000 a month) a one-unit increase in

    disposable income translates to a smaller gain in income aspirations than is the case incountries with lower disposable income. There are only three countries (Romania, Bulgaria

    and Hungary) where the level of aspiration exceeds the level of disposable income. These

    countries are above the x=y line.

    Figure 1 The connection between income aspirations and disposable income in the EU

    Member States

    BE

    DKGR

    ES

    FI

    FR

    IT

    LU

    NL

    AT

    PT

    SE

    DE

    UK

    BG

    CZ

    EEHU

    LVLT

    MT

    PL

    RO

    SK

    SI

    x=y Regression line

    0

    500

    1000

    1500

    2000

    Incomeaspirations

    0 500 1000 1500 2000 2500 3000 3500 4000Disposable income

    R-Squared=0.8335

    Income aspirations (y axis): Equivalized net minimum income in Euros. Prices are inflated to the 2010 income

    level. Source of data: EB.72.1 (2009) and EB.74.1 (2010).

    Disposable income (x axis): Equivalized net household income in Euros. Prices are inflated to the 2010 incomelevel. Source of data: EU-SILC. Data refer to 2009 income year.

    Applied equivalence scale: the square root of the number of household members.

    Cyprus and Ireland do not appear on the diagram due to missing data.

    In the graph, disposable income was used from an external dataset. We now perform the sametype of analysis at an individual level (not using country-means). Since material

    circumstances and minimum income are measured on different scales, the following

    procedure is employed. First, both the variables in each country are standardized separately.

    The standardized coefficients can be interpreted as the distance between the mean values,

    where the unit of distance is the standard deviation. Then the difference between the two

    standardized variables is calculated (aspirations minus material circumstances). This shows

    whether an individual holds the same place in the country-specific distributions of the two

    variables. If the difference is positive, individuals have higher aspirations than their self-

    placement based on material circumstances. In the case of a negative value, the respondent

    compared to the country averages requires less minimum income than his/her material

    circumstances would suggest. Table 1 contains the descriptive statistics on this discrepancyindex by country. As one can see, the median of this variable is below the 10 per cent

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    standard deviation unit in the majority of countries, and exceeds that value only in Lithuania,

    Italy and Estonia (countries are ranked according to the median value in column P50). It is

    also noticeable that positive deviations (see the maximum values) have a much higher level in

    absolute value than negative deviations (comparing column Maximum to column

    Minimum). This means that in some cases respondents tend to have unrealistic aspirations;

    in this case, there is a sizeable mismatch between material circumstances and incomeaspirations.

    Table 1 Some descriptive statistics, by country, on the difference in minimum income and

    material circumstances

    Minimum P5 P50 P95 Maximum Mean

    Standard

    deviation

    LV -3.15 -1.85 -0.16 2.18 13.33 0.03 1.41

    IT -3.36 -1.73 -0.14 2.27 7.42 0.00 1.27

    EE -4.10 -1.86 -0.12 2.22 16.63 0.01 1.38

    LT -3.72 -1.98 -0.10 2.16 18.41 0.01 1.37FI -3.94 -1.96 -0.09 2.40 9.35 0.04 1.36

    BE -3.66 -2.01 -0.09 2.32 16.17 0.01 1.41

    PL -3.39 -1.74 -0.09 1.87 16.39 -0.02 1.20

    SI -3.48 -1.90 -0.09 2.29 10.24 0.02 1.31

    GR -3.48 -1.99 -0.08 2.29 6.37 0.01 1.28

    AT -4.59 -1.97 -0.08 2.39 5.26 0.04 1.36

    HU -4.10 -1.92 -0.08 2.15 15.95 0.02 1.33

    IE -3.34 -1.88 -0.06 2.26 6.78 0.00 1.31

    MT -3.83 -2.29 -0.06 2.27 7.49 -0.02 1.41

    FR -3.78 -1.85 -0.06 2.10 14.21 0.04 1.34

    UK -4.12 -1.92 -0.06 2.22 9.10 0.03 1.28

    CY -3.58 -2.07 -0.06 2.23 6.12 0.02 1.31

    ES -3.45 -1.92 -0.05 2.12 9.08 0.03 1.26

    CZ -4.59 -1.92 -0.05 2.09 13.84 0.03 1.37

    PT -3.39 -1.84 -0.05 1.75 18.59 0.03 1.29

    SK -3.44 -1.76 -0.04 1.91 16.80 0.03 1.38

    NL -4.25 -1.84 -0.03 2.28 6.20 0.03 1.26

    SE -4.01 -1.85 -0.03 2.11 15.52 0.04 1.35

    DE -4.37 -1.90 -0.02 2.21 10.09 0.03 1.29

    LU -4.15 -2.01 0.00 2.49 4.88 0.07 1.37

    BG -3.34 -1.84 0.01 2.06 5.61 0.03 1.18

    RO -3.06 -1.83 0.04 1.87 15.30 0.07 1.30

    DK -4.02 -2.03 0.06 2.13 6.14 0.03 1.26

    Let us turn to the question of whether income aspirations decrease life satisfaction. Table 2

    contains the results of an OLS regression. The dependent variable is life satisfaction. The

    independent variables include material circumstances of the household, the usual socio-

    economic variables and country fixed effects. Our particular interest focuses on the impact of

    income aspirations. In column A we can see that the estimated coefficient is negative.

    Controlling for all other characteristics, if someone doubles his expectations of minimum

    income, that means a 0.06-point (ln[2]-0.09) decrease in life satisfaction. Compared to the

    impact of material circumstances, this is moderate, since a one-unit increase on that 10-point

    scale means a 0.5-point increase in life satisfaction. However, as was mentioned earlier, the

    impact of material circumstances is overestimated, since it is probably biased by satisfaction

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    with standard of living. Stutzer (2005) found, for example, a somewhat lower impact in the

    case of household income.

    Column B contains the impact of excessive aspirations on life satisfaction (this is

    basically the discrepancy index shown in Table 1). The estimated coefficient is again

    negative. It is somewhat less than in the case of income aspirations; however, we should bear

    in mind that the unit of measurement is different for the two variables. One standard deviationchange causes nearly the same change in life satisfaction.

    Table 2 Explaining life satisfaction, unstandardized OLS coefficients

    Dependent variable: Life satisfaction

    A B

    Material circumstances 0.544*** 0.52***

    Income aspirationsEquivalized minimum income (ln) -0.086***Excessive aspirations(standardized aspirations minus standardized material

    circumstances) -0.035**Year = 2009 Ref. Ref.

    Year = 2010 -0.018 -0.019

    Female Ref. Ref.

    Male -0.186*** -0.186***

    Age -0.04*** -0.041***

    Age square 0*** 0***

    Primary education Ref. Ref.

    Secondary education 0.097** 0.095**

    Tertiary education 0.351*** 0.348***

    Retired -0.13* -0.13*

    Self-employed Ref. Ref.

    Employed 0.016 0.013

    Inactive -0.544*** -0.543***

    Student 0.429*** 0.428***

    Village 0.058* 0.06*

    Town Ref. Ref.

    Large town -0.046 -0.047

    Country fixed effects Yes Yes

    F-stat 405.96*** 406.54***

    R square 0.28 0.28

    N 44350 44350

    *** The coefficient is different from zero at 1 per cent significance level.

    ** The coefficient is different from zero at 5 per cent significance level.* The coefficient is different from zero at 10 per cent significance level.

    The impact of aspirations is, however, not homogeneous. In the case of poorer1 individuals,

    income aspirations (Table 3, Panel A) and excessive aspirations (Table 3, Panel B) decrease

    life satisfaction more than among well-off respondents. Among the rich (whichever definition

    is applied), aspirations do not have any impact on life satisfaction. This finding is similar to

    that of Ferrer-i-Carbonell (2005), who basically discovered that relative income has a larger

    effect among the poor. It is up to future research to find out whether the difference between

    1 We applied basically two definitions. We identified as poor those who placed themselves on level 1, 2 or 3 ofa 10-point material circumstances scale, or who answered that they had much less money than was indicated as

    the minimum acceptable in the minimum income question. Similarly, the rich were identified as those whoplaced themselves on level 10, 9 or 8, or who answered that they had much more than the minimum acceptable

    income.

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    rich and poor can be explained by the fact that the poor usually compare their income to that

    of the rich, while those at the top of the income distribution find it harder to identify a richer

    reference group.

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    Table 3 The impact of aspirations on life satisfaction according to material status a

    sensitivity analysis (unstandardized OLS coefficients)

    Dependent variable: Life satisfaction

    Poor Rich

    Definition of income status

    The impactin the

    wholesample

    (Table 1)

    Low material

    circumstances(Values: 3, 2,

    1)

    Net income of

    the householdis much less

    than theindicated

    minimumincome

    High material

    circumstances(Values: 10, 9,

    8)

    Net income of

    the householdis much more

    than theindicated

    minimumincome

    A

    Materialcircumstances

    0.54*** 0.64*** 0.55*** 0.2** 0.41***

    Income aspirationsEquivalized minimumincome (ln)

    -0.09*** -0.22** -0.16* 0.06 0.05

    B

    Materialcircumstances 0.52*** 0.56*** 0.51*** 0.22** 0.43***

    Excessive aspirations(standardized aspiration

    minus standardized materialcircumstances)

    -0.04** -0.13*** -0.07** 0.05 0.02

    Other control variables: yes; country fixed effects: yes. The control variables are identical to those appearing inTable 1.

    The OLS models were run on a selected sample. The selection criterion is defined in the first row of the table.*** The coefficient is different from zero at 1 per cent significance level.

    ** The coefficient is different from zero at 5 per cent significance level.* The coefficient is different from zero at 10 per cent significance level.

    If we consider that the positive impact of material circumstances is counterbalanced by thenegative impact of aspirations, we should find out why this does not hold in the case of the

    rich. One solution is offered by the research of Kahneman and Deaton (2010). Those authors

    found that material resources do not increase life satisfaction according to some monotone

    increasing function; instead there is an inflection point in income, after which any further

    increase does not translate into a gain in life satisfaction (because emotional and relationship

    aspects gain emphasis). If we continue this logic, it may be that, once the satiation point is

    reached, neither income nor aspiration has any impact on life satisfaction. It could serve as an

    indication of this that when we investigated the connection between disposable income and

    income aspirations (Figure1), we also found some elasticity. In richer countries the same unit

    increase in disposable income translated to a smaller gain in income aspirations. Indisputably,

    however, more research is needed to test this hypothesis.

    Summary and some statements about the connection between life satisfaction and

    aspirations

    1. The average magnitude of income aspirations in a country is positively related to

    disposable income. In those countries where disposable income is low, people find a lower

    level of minimum income acceptable. However, there is some elasticity in the connection

    between income aspirations and disposable income. The discrepancy between the

    minimum income and disposable income increases with increasing disposable income

    (Figure 1). In other words, respondents adapt to a certain level of income and articulatetheir aspirations on the basis of this income level.

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    2. Income aspirations are quite realistic. However we could not compare economic

    aspirations to real material resources; what we could do was compare the deviation from

    the country-means in income aspirations and perceived household resources (Table 1).

    Based on this comparison, we can conclude that, on average, people tailor their aspirations

    to the perceived level of income. On the one hand, this finding underlines the fact that

    aspirations grow if material resources increase. On the other hand, however, we shouldconsider that the level of discrepancy (in absolute value) is much higher if aspirations

    exceed perceived material resources than vice versa.

    3. Income aspirations and excessive aspirations both decrease life satisfaction

    (Table 2). The positive impact of material resources on life satisfaction is somewhat

    counterbalanced by the negative impact of aspirations. This relationship also holds when

    country fixed effects and some socio-economic variables are controlled for.

    4. The negative impact of aspirations is stronger among the poor. This contradicts

    somewhat the assumption that income and aspirations go together, but it might be

    explained by some recent findings that, beyond a certain income level, increasing income

    does not translate into a gain in life satisfaction (Table 3).

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