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Investigating Macroeconomic Determinants of Happiness in ...

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macro variables from 2007, than when we use sample means. This was to be expected s<strong>in</strong>ce<br />

the 2007 levels are <strong>in</strong> general more satisfactory (lower <strong>in</strong>flation and unemployment and<br />

higher GDP per capita). To be more precise, it seems that at late transition phase (sample<br />

mean) general economic conditions played a more important role, while with the<br />

advancement <strong>of</strong> transition and accession to the EU, when more economic stability was<br />

achieved, the importance <strong>of</strong> macroeconomic variables fell.<br />

When we look at the last two columns, an <strong>in</strong>terest<strong>in</strong>g f<strong>in</strong>d<strong>in</strong>g appears. All <strong>of</strong> the<br />

macroeconomic variables seem to have <strong>in</strong>creased <strong>in</strong> size for a successful woman. This means<br />

that, not only are successful women the happiest, their happ<strong>in</strong>ess is also the most <strong>in</strong>fluenced<br />

by macroeconomic variables. This might be due to the fact that they have all the sociodemographic<br />

characteristics that are considered to be “good”, “successful” and “desirable” by<br />

the society and so can now care more about their economic surround<strong>in</strong>gs. Unsuccessful men,<br />

on the other hand, care a lot less about the country-level variables. In other words, we might<br />

conclude that the successful women are more sociotropic, while unsuccessful men are more<br />

egotropic.<br />

Government expenditure is <strong>in</strong> all specifications constantly significant and <strong>of</strong> the<br />

expected non-l<strong>in</strong>ear form. Its marg<strong>in</strong>al effect is significantly larger for successful women than<br />

for unsuccessful men. This is <strong>in</strong> l<strong>in</strong>e with our expectations because, arguably, successful<br />

women appreciate additional <strong>in</strong>creases <strong>in</strong> quality <strong>of</strong> life that can be achieved only through<br />

publicly provided goods and services. If our government expenditure measure had <strong>in</strong>cluded<br />

welfare spend<strong>in</strong>g, subsidies and transfers, the results might have been different. We would<br />

expect these additional components to <strong>in</strong>fluence unsuccessful man’s happ<strong>in</strong>ess more, because<br />

this type <strong>of</strong> government expenditures is particularly aimed at socially disadvantaged people.<br />

6. Conclusion<br />

This paper shows that government expenditure significantly and non-l<strong>in</strong>early<br />

<strong>in</strong>fluences happ<strong>in</strong>ess <strong>in</strong> transition countries. Our premise is that government expenditure<br />

<strong>in</strong>fluences happ<strong>in</strong>ess positively up to a certa<strong>in</strong> threshold, and negatively afterwards. More<br />

precisely, we hypothesise that there is a ‘useful’ amount <strong>of</strong> government expenditures that<br />

positively <strong>in</strong>fluences happ<strong>in</strong>ess, and an excess/wasteful amount which affects happ<strong>in</strong>ess<br />

negatively. For this reason, we <strong>in</strong>clude this variable <strong>in</strong> both levels and squares <strong>in</strong> the<br />

happ<strong>in</strong>ess regression. This non-l<strong>in</strong>ear specification has not been used <strong>in</strong> other papers on the<br />

19

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