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Investigating Macroeconomic Determinants of Happiness in ...

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goods and services, <strong>in</strong>vestments and transfers provided by the government. Namely, we<br />

hypothesise that government expenditure <strong>in</strong>fluences happ<strong>in</strong>ess positively up to a certa<strong>in</strong><br />

threshold 3 , and negatively afterwards. To clarify the issue even more, <strong>in</strong> our op<strong>in</strong>ion the<br />

negative effect <strong>of</strong> government expenditure on happ<strong>in</strong>ess stems only from the excess/wasteful<br />

amount <strong>of</strong> government expenditure. There is no reason to assume that the ‘useful’ amount <strong>of</strong><br />

government expenditures also impacts happ<strong>in</strong>ess negatively. Because <strong>of</strong> this we believe it is<br />

reasonable to <strong>in</strong>clude both the level and the square <strong>of</strong> the government expenditure <strong>in</strong> the<br />

regression, <strong>in</strong> order to test whether the relationship between these expenditures and happ<strong>in</strong>ess<br />

is <strong>in</strong>versely U-shaped.<br />

As a practical note, it should be stressed that with<strong>in</strong> the literature there is a particular<br />

concern as how to def<strong>in</strong>e and properly measure the public sector size. This is where the<br />

difficulties beg<strong>in</strong>, as there is no clear-cut answer as to what the public sector is. Papers on the<br />

topic typically use data on government consumption only, due to poor quality and frequent<br />

methodological changes <strong>of</strong> data on government <strong>in</strong>vestments, welfare spend<strong>in</strong>g, subsidies and<br />

transfers. The latter would reflect the size <strong>of</strong> public sector more precisely, but do to data<br />

limitations <strong>in</strong> our empirical analyses we also use just government consumption.<br />

5. Empirical analysis <strong>of</strong> the impact <strong>of</strong> macroeconomic variables on<br />

happ<strong>in</strong>ess<br />

In this section we empirically <strong>in</strong>vestigate the determ<strong>in</strong>ants <strong>of</strong> happ<strong>in</strong>ess <strong>in</strong> a set <strong>of</strong> 13<br />

transition countries with special attention given to country-level - macroeconomic<br />

determ<strong>in</strong>ants.<br />

Data description<br />

The data used is from the World Values Survey, waves 3, 4 and 5 and <strong>in</strong>cludes the<br />

follow<strong>in</strong>g countries: Albania, Bulgaria, Croatia, Czech Republic, Estonia, Hungary, Latvia,<br />

Lithuania, Poland, Romania, Slovakia, Slovenia and Macedonia. The ma<strong>in</strong> idea was to<br />

<strong>in</strong>vestigate macroeconomic determ<strong>in</strong>ants <strong>of</strong> happ<strong>in</strong>ess <strong>in</strong>, rarely analysed, Central and Eastern<br />

European countries. These would additionally <strong>in</strong>clude Bosnia and Herzegov<strong>in</strong>a and Serbia<br />

and Montenegro, but, due to data limitations, we had to exclude the former two countries<br />

3 We do not attempt to assess this threshold <strong>in</strong> more detail, but rather use this l<strong>in</strong>e <strong>of</strong> reason<strong>in</strong>g to justify the nonl<strong>in</strong>ear<br />

<strong>in</strong>clusion <strong>of</strong> the government expenditure variable <strong>in</strong> the regression.<br />

11

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