I’ve written here before about my research with Betsey Stevenson showing that economic development is associated with rising life satisfaction. Some people find this result surprising, but it’s the cleanest interpretation of the available data. Yet over the past few days, I’ve received calls from several journalists asking whether Richard Easterlin had somehow debunked these findings. He tried. But he failed.

Rather than challenge our careful statistical tests, he’s simply offered a new mishmash of statistics that appear to make things murkier.

For those of you new to the debate, the story begins with a series of papers that Richard Easterlin wrote between 1973 and 2005, claiming that economic growth is unrelated to life satisfaction. In fact, these papers simply show he failed to definitively establish such a relationship. In our 2008 Brookings Paper, Betsey and I systematically examined all of the available happiness data, finding that the relationship was there all along: rising GDP yields rising life satisfaction. More recent data reinforces our findings. Subsequently, Easterlin responded in of papers circulated in early 2009. That’s the research journalists are now asking me about. But in a paper released several weeks ago, Betsey, Dan Sacks and I assessed Easterlin’s latest claims, and found little evidence for them.

Let’s examine Easterlin’s three main claims.

1. GDP and life satisfaction rise together in the short-run, but not the long-run. False. Here’s an illustrative graph. We take the main international dataset — the World Values Survey — and in order to focus only on the long-run, compare the change in life satisfaction for each country from the first time it was surveyed until the last, the corresponding growth in GDP per capita. Typically, this is a difference taken over 18 years (although it ranges from 8 to 26 years). The graph shows that long-run rises in GDP are positively associated with growth in life satisfaction.

This graph includes the latest data, and Dan generated it just for this blog post. In fact, Easterlin was responding to our earlier work, which showed each of the comparisons one could make between various waves of this survey: Wave 1 was taken in the early ‘80s; Wave 2 in the early ‘90s; Wave 3 in the mid-late ‘90s; Wave 4 mostly in the early 2000s. And in each of these comparisons, you see a positive association — sometimes statistically significant, sometimes not.

What should we conclude from this second graph? Given the typically-significant positive slopes, you might conclude that rising GDP is associated with rising life satisfaction. It’s also reasonable to say that these data are too noisy to be entirely convincing. But the one thing you can’t conclude is that these data yield robust proof that long-run economic growth won’t yield rising life satisfaction. Yet that’s what Easterlin claims.

2. The income-happiness link that we document is no longer apparent when one omits the transition economies. Also false. One simple way to see this is to note that in the first graph the transition countries are shown in gray. Even when you look only at the other countries, it’s hard to be convinced that economic growth and life satisfaction are unrelated. To see the formal regressions showing this, read Table 3 of our response. (Aside: Why eliminate these countries from the sample?)

Or we could just look to another data source which omits the transition economies. For instance, the graph below shows the relationship between life satisfaction and GDP for the big nine European nations that were the members of the EU when the Eurobarometer survey started. Over the period 1973-2007, economic growth yielded higher satisfaction in eight of these nine countries. And while we’re puzzled by the ninth — the increasingly unhappy Belgians — we’re not going to drop them from the data! And if you think Belgium is puzzling, too, then we’ve done our job.

3. Surveys show that financial satisfaction in Latin American countries has declined as their economies have grown. Perhaps true. But how are surveys of financial satisfaction relevant to a debate about life satisfaction? And why focus on Latin America, rather than the whole world? In fact, when you turn to the question we are actually debating — life satisfaction —these same surveys suggest that those Latin American countries which have had the strongest growth have seen the largest rise in life satisfaction. This finding isn’t statistically significant, but that’s simply because there’s not a lot of data on life satisfaction in Latin America! (Given how sparse these data are, we didn’t report them in our paper.)

What’s going on here?

Now it’s reasonable to ask how it is that others arrived at a different conclusion. Easterlin’s Paradox is a non-finding. His paradox simply describes the failure of some researchers (not us!) to isolate a clear relationship between GDP and life satisfaction.

But you should never confuse absence of evidence with evidence of absence. Easterlin’s mistake is to conclude that when a correlation is statistically insignificant, it must be zero. But if you put together a dataset with only a few countries in it — or in Easterlin’s analysis, take a dataset with lots of countries, but throw away a bunch of it, and discard inconvenient observations — then you’ll typically find statistically insignificant results. This is even more problematic when you employ statistical techniques that don’t extract all of the information from your data. Think about it this way: if you flip a coin three times, and it comes up heads all three times, you still don’t have much reason to think that the coin is biased. But it would be silly to say, “there’s no compelling evidence that the coin is biased, so it must be fair.” Yet that’s Easterlin’s logic.

There’s a deeper problem, too. The results I’ve shown you are all based on analyzing data only from comparable surveys. And when you do this, you find rising incomes associated with rising satisfaction. Instead, Easterlin and co-authors lump together data from very different surveys, asking very different questions. It’s not even clear how one should make comparisons between a survey (in the US) asking about happiness, a survey (in Japan) asking about “circumstances at home,” surveys of life satisfaction in Europe based on a four-point scale, and global surveys based on a ten-point scale. Easterlin’s non-result appears only when comparing non-comparable data.

If you want to advocate against economic growth — and to argue that it won’t help even in the world’s poorest nations — then you should surely base such radical conclusions on findings rather than non-findings, and on the basis of robust evidence.

A final thought

Why not look at the levels of economic development and satisfaction? The following graph does this, displaying amazing new data coming from the Gallup World Poll. There’s no longer any doubt that people in richer countries report being more satisfied with their lives.

Is this relevant? Easterlin argues it isn’t — that he’s only concerned with changes in GDP. But the two are inextricably linked. If rich countries are happier countries, this begs the question: How did they get that way? We think it’s because as their economies developed, their people got more satisfied. While we don’t have centuries’ worth of well-being data to test our conjecture, it’s hard to think of a compelling alternative.

Justin Wolfers’ column titled “Debunking the Easterlin Paradox, Again” dismisses Richard Easterlin’s work as just plain wrong. I argue here, as I have elsewhere, that where you come out on the Easterlin paradox depends on the happiness question (and therefore the definition of happiness) that you use, as well as the sample of countries and the period of time.

Richard Easterlin finds no clear country-by-country relationship between average per capita GDP and life satisfaction (among wealthy countries), despite a clear relationship between income and happiness at the individual level within countries. Easterlin also found – and continues to find, based on methods different from Wolfers’ – an absence of a relationship between life satisfaction and long-term changes in GDP per capita.

Different well-being questions measure different dimensions of “happiness”, and, in turn, they correlate differently with income (something they themselves show at the end of their last paper, and admit that the relationship between income and well-being is complex). The best possible life question – which Justin Wolfers and Betsey Stevenson primarily use in the first work, and also in the second – asks respondents to compare their life today to the best possible life they can imagine for themselves. This introduces a relative component, and, not surprisingly, the question correlates most closely with income of all of the available subjective well-being questions. Life satisfaction, which they use in the second work, also correlates with income more than open-ended happiness, life purpose or affect questions, but not as closely as the best possible life question.

Wolfers and Stevenson used the most recent and extensive sample of countries available from the Gallup World Poll, and, as the measure of “happiness”, the best possible life question therein, and challenged the Easterlin paradox. In more recent work, with Stevenson and Dan Sacks (2010), referenced in this blog, the authors look at the relationship between life satisfaction and economic growth, based on the World Values survey and GDP levels and the best possible life question, based on the Gallup World Poll. They isolate a clear relationship between life satisfaction and GDP levels, and their statistical analysis is spot on.

Recent studies by Kahneman and Deaton (2010), and Diener and colleagues (2010), for example, find that happiness in a life evaluation sense (as measured by the best possible life question) correlates much more closely with income than does happiness in a life experience sense (as measured by affect or more open ended happiness questions). This holds within the United States (Kahneman and Deaton) and across countries (Diener et al.).

My own work on Latin America, with Soumya Chattopadhyay and Mario Picon, tested various questions against each other and finds a similar difference in correlation, with affect and life purpose questions having the least correlation with income and the best possible life question the most. My work on happiness in Afghanistan found that Afghans were happier than the world average (on par with Latin Americans) as measured by an open ended happiness question, and 20 percent more likely to smile in a day than Cubans. Yet they scored much lower than the world average on the best possible life question. This is not a surprise. While naturally cheerful and able to make the best of their lot, the Afghans also know that the best possible life is outside Afghanistan.

Thus the conclusions that one draws on whether there is an Easterlin paradox or not in part rest on the definition of happiness, and therefore the question that is used as the basis of analysis. Wolfers and co-authors find a clear relationship between GDP levels and life satisfaction and best possible life – clearly important dimensions of well-being. Yet in the same paper they find much less clear relationships when they use happiness, affect and life purpose questions.  

There is also the question of the sample of countries, and whether one is examining cross section or time series data. The most recent debate with Easterlin is about the trends over time rather than cross-sectional patterns. Dropping the transition economies, as Easterlin does, may be a mistake, as Wolfers contends. But it is also important to recognize the extent to which including a large sample of countries that experienced unprecedented economic collapse and associated drops in happiness alters the slope in the cross-country income-happiness relationship (making it steeper). Wolfers also criticizes Easterlin for relying on financial satisfaction data for his Latin American time series sample (because there is not enough life satisfaction data); financial satisfaction correlates closely, but not perfectly, with life satisfaction. Easterlin’s technique allows for the inclusion of a much larger sample of middle income developing countries, a sample of countries that one can imagine is very important to the growth and happiness debate. Wolfers and co-authors use far fewer Latin American countries because comparable life satisfaction data is limited. Either approach is plausible and, as with all work with limited data, is not perfect. But I would not go as far as calling one or the other “plain wrong”.

Finally, there is the simpler question of giving credit where credit is due. We would not be having this debate, nor would we have a host of analysis on well-being beyond what is measured by income, had Easterlin not triggered our thinking on this with his original study of happiness and income over three decades ago (and his patient and thoughtful mentoring of many economists since then). In the big picture of things, Easterlin had the idea.

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Stability in Europe’s eastern neighborhood, already precarious, is being further strained. The political prospects of several countries, including Ukraine, Georgia, Turkey and Russia, remain unclear. The region is grappling with the fallout of the economic crisis, and Russia and Turkey, in particular, are threatened by the turmoil in the Arab world.

On April 13, the Center on the United States and Europe at Brookings (CUSE) hosted former European Union High Representative for Common Foreign and Security Policy Javier Solana for a discussion on how the European Union (EU) and NATO should engage with Europe’s strategic partners in the East and Southeast. As a former secretary general of NATO and secretary-general of the Council of the European Union, Solana offered insight into the prospects for future EU and NATO enlargement, the potential impact of the eurozone crisis on the region and how Europeans should attempt to cooperate with their neighbors in tackling global challenges.

Brookings President Strobe Talbott provided introductory remarks and moderated the discussion.

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• Syria, Russia and Iran
• Global Governance Can Work
• Turkey and Cyprus

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• Europe's Eastern Frontiers: A Conversation with Javier Solana

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• Uncorrected Transcript (.pdf)

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On May 14, the Center on the United States and Europe at Brookings, in partnership with the Council for the United States and Italy, will host Italian Foreign Minister Federica Mogherini for an address on Italy’s foreign policy during a period of geopolitical turmoil. In her remarks, Mogherini will offer perspectives on recent developments on the frontiers of Europe and explore how Italy and the U.S. can work together, along with the European Union and NATO, to address the ongoing challenges in Ukraine, the Mediterranean and beyond.

Federica Mogherini has been minister for foreign affairs since February 2014. She was previously a member of the Foreign Affairs and Defense Committees of the Chamber of Deputies and chair of the Italian Delegation to the Parliamentary Assembly of NATO. She has been active in promoting nuclear disarmament in the Italian parliament, including a successfully adopted resolution supporting the nuclear disarmament visions and plans of President Obama and U.N. Secretary General Ban Ki-moon.

Brookings Acting Deputy Director for Foreign Policy Steven Pifer will introduce Minister Mogherini. Michael Calingaert of Brookings and the Council for the U.S. and Italy will moderate a question and answer session at the conclusion of the minister’s remarks.

Join the conversation on Twitter using #Mogherini

A 2010 publication of the U.S. Geological Survey caused major excitement in Cyprus, an island that at the time was suffering from the economic collapse of its neighbor and major trading partner, Greece. According to the publication, the seabed of the Eastern Mediterranean could contain up to 120 trillion cubic feet (tcf) of natural gas.3 Three years later, the Cypriot administration has high hopes that natural gas exports may get Cyprus—the third smallest European Union member state—back on its feet, after its own financial collapse in 2012. Unfortunately for the Cypriots, the reality on the ground is sobering, and it is currently unclear whether Cyprus will become a producer, or an exporter, of natural gas. Around Cyprus, other countries hope to benefit from the energy potential as well, including Israel, Lebanon and the Palestinian Authority. In the Israeli Exclusive Economic Zone (EEZ), in particular, substantial reserves of natural gas have been found, though the verdict is out whether these will in fact all be produced.

Exploration of Cyprus’s offshore concessions is at an early stage. Energy majors such as ENI and Total are among the first to explore possible gas (and oil) reserves and they expect results not before 2015. To date, only two test wells have been drilled by Houston-based Noble Energy. Proven reserves have been downgraded since and are currently estimated to be between 3 and 5 tcf. At this level of reserves, investing in a natural gas liquefaction terminal, which the Cypriot administration has supported, is not economically viable. A better alternative would be to construct a pipeline to Turkey, which has a large and rapidly growing market for natural gas.

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• Politics Trump Economics in the Complex Game of Eastern Mediterranean Hydrocarbons