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… and the Pursuit of Happiness - Institute of Economic Affairs

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<strong>…</strong> <strong>and</strong> <strong>the</strong> pursuit <strong>of</strong> happiness<br />

subjective wellbeing<br />

long-run changes in GDP. Indeed, Easterlin <strong>and</strong> Angelescu (2009)<br />

argue that only long-run economic growth can be used to assess<br />

<strong>the</strong> relationship between growth <strong>and</strong> wellbeing.<br />

We can assess long-run differences for all countries by<br />

comparing changes in satisfaction <strong>and</strong> national income between<br />

<strong>the</strong> first <strong>and</strong> <strong>the</strong> last time we observe a country in <strong>the</strong> World<br />

Values Survey. For <strong>the</strong> countries in <strong>the</strong> World Values Survey that<br />

we observe multiple times, <strong>the</strong> average difference in time between<br />

first <strong>and</strong> last observations is about eleven years. This is comparable<br />

with Easterlin <strong>and</strong> Sawangfa’s notion <strong>of</strong> <strong>the</strong> ‘long run’ – <strong>the</strong>y<br />

require data spanning at least ten years – but a little lower than<br />

Easterlin <strong>and</strong> Angelescu’s twelve-year requirement. It appears<br />

from this analysis that, for most countries, GDP <strong>and</strong> satisfaction<br />

move toge<strong>the</strong>r. There is, never<strong>the</strong>less, a notable number <strong>of</strong> countries<br />

for which life satisfaction <strong>and</strong> GDP move in opposite directions.<br />

Even so, <strong>the</strong> correlation between life satisfaction <strong>and</strong> GDP<br />

is positive <strong>and</strong> remarkably strong. Looking at <strong>the</strong> long-run data<br />

overall, once again we cannot reject <strong>the</strong> hypo<strong>the</strong>sis that <strong>the</strong> true<br />

coefficient explaining <strong>the</strong> relationship between satisfaction <strong>and</strong><br />

national income is between 0.3 <strong>and</strong> 0.4.<br />

The influence <strong>of</strong> <strong>the</strong> transition economies<br />

Using <strong>the</strong>se same data (although including <strong>the</strong> observations from<br />

<strong>the</strong> unrepresentative national samples <strong>and</strong> not adjusting for wave<br />

fixed effects), Easterlin <strong>and</strong> Sawangfa (2008: 13) argue that ‘<strong>the</strong><br />

positive association between <strong>the</strong> change in life satisfaction <strong>and</strong><br />

that in GDP per capita reported by Stevenson <strong>and</strong> Wolfers rests<br />

almost entirely on <strong>the</strong> positively correlated V-shaped movement<br />

<strong>of</strong> <strong>the</strong> two variables during <strong>the</strong> post-1990 collapse <strong>and</strong> recovery<br />

Figure 6<br />

Change in satisfaction, relative to country <strong>and</strong> wave fixed effects<br />

0.4<br />

0.2<br />

0.0<br />

−0.2<br />

−0.4<br />

−0.6<br />

Long differences in life satisfaction <strong>and</strong> log GDP,<br />

World Values Survey<br />

RUS<br />

LTU<br />

KOR Offscale<br />

MDA<br />

VEN ITA<br />

(1, 0.33)<br />

ESP<br />

CZE<br />

MEX<br />

BGR UKR<br />

AUT<br />

FRA FIN BRA<br />

IRL<br />

EST<br />

MLT<br />

USA<br />

ISL<br />

NOR<br />

AUS<br />

JPN<br />

POL<br />

LVA<br />

SWE GBR<br />

SCG<br />

SVK<br />

BLR<br />

ROM<br />

TUR<br />

HUN<br />

MKD<br />

in <strong>the</strong> transition countries’. In order to investigate this claim,<br />

we separately estimated our panel regressions <strong>and</strong> long differences<br />

for <strong>the</strong> sample <strong>of</strong> transition countries only <strong>and</strong> <strong>the</strong>n for all<br />

o<strong>the</strong>r World Values Survey nations. While breaking <strong>the</strong> sample<br />

apart like this reduces our statistical precision, <strong>the</strong> key inferences<br />

remain <strong>the</strong> same in both samples: <strong>the</strong> influence <strong>of</strong> GDP growth<br />

on satisfaction is positive, statistically significantly different from<br />

SVN<br />

KOR<br />

y = 0.47*ln(x) [se=0.13]<br />

Correlation=0.54<br />

−.5 −.25 0 .25 .5<br />

Change in log GDP, relative to country <strong>and</strong> wave fixed effects<br />

Note: Data are aggregated by first st<strong>and</strong>ardising individual-level data to have mean zero <strong>and</strong> unit<br />

st<strong>and</strong>ard deviation, <strong>and</strong> <strong>the</strong>n taking country-year averages <strong>of</strong> <strong>the</strong> st<strong>and</strong>ardised values. Selected<br />

countries only have been marked.<br />

80 81

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