Editor's Note: At a Zócalo Public Square* event, several experts were asked to weigh in on the following question: How should we most effectively measure happiness? Here is Carol Graham's response-

We must make it a measure that’s meaningful to the average person

Happiness is increasingly in the media. Yet it is an age-old topic of inquiry for psychologists, philosophers, and even the early economists (before the science got dismal). The pursuit of happiness is even written into the Declaration of Independence (and into the title of my latest Brookings book, I might add). Public discussions of happiness rarely define the concept. Yet an increasing number of economists and psychologists are involved in a new science of measuring well-being, a concept that includes happiness but extends well beyond it.

Those of us involved focus on two distinct dimensions: hedonic well-being, a daily experience component; and evaluative well-being, the way in which people think about their lives as a whole, including purpose or meaning. Jeremy Bentham focused on the former and proposed increasing the happiness and contentment of the greatest number of individuals possible in a society as the goal of public policy. Aristotle, meanwhile, thought of happiness as eudemonia, a concept that combined two Greek words: “eu” meaning abundance and “daimon” meaning the power controlling an individual’s destiny. Using distinct questions and methods, we are able to measure both. We can look within and across societies and see how people experience their daily lives and how that varies across activities such as commuting time, work, and leisure time on the one hand, and how they feel about their lives as a whole—including their opportunities and past experiences, on the other. Happiness crosses both dimensions of well-being. If you ask people how happy they felt yesterday, you are capturing their feelings during yesterday’s experiences. If you ask them how happy they are with their lives in general, they are more likely to think of their lives as a whole.

The metrics give us a tool for measuring and evaluating the importance of many non-income components of people’s lives to their overall welfare. The findings are intuitive. Income matters to well-being, and not having enough income is bad for both dimensions. But income matters more to evaluative well-being, as it gives people more ability to choose how to live their lives. More income cannot make them experience each point in the day better. Other things, such as good health and relationships, matter as much if not more to well-being than income. The approach provides useful complements to the income-based metrics that are already in our statistics and in the GDP. Other countries, such as Britain, have already begun to include well-being metrics in their national statistics. There is even a nascent discussion of doing so here.

Perhaps what is most promising about well-being metrics is that they seem to be more compelling for the average man (or woman) on the street than are complex income measures, and they often tell different stories. There are, for example, endless messages about the importance of exercising for health, the drawbacks of smoking, and the expenses related to long commutes. Yet it is likely that they are most often heard by people who already exercise, don’t smoke, and bicycle to work. And exercise does not really enter into the GNP, while cigarette purchases and the gasoline and other expenses related to commuting enter in positively. If you told people that exercising made them happier and that smoking and commuting time made them unhappy (and yes, these are real findings from nationwide surveys), then perhaps they might listen?

Read other responses to this question at zocalopublicsquare.org »

*Zócalo Public Square is a not-for-profit daily ideas exchange that blends digital humanities journalism and live events. 

Once upon a time, long ago, the development industry was fixated on measuring aid from richer to poorer countries. They called it ODA, standing for Official Development Assistance. For decades this aid has been codified, reported, and tracked, mostly by the Development Assistance Committee of the Organisation for Economic Co-operation and Development (DAC/OECD), a club of advanced economies. In advance of the Spring Meetings of the IMF and World Bank, the DAC announced that ODA has risen by 6.9% over 2014 levels to 132 billion dollars, a record amount. Importantly, ODA increased even after stripping out funds spent on refugees.

The United Nations has established targets for ODA—like the famous 0.7 percent of national income—which have taken on legendary status as benchmarks of national generosity. Only six out of 28 DAC countries met this target last year: Denmark, Luxembourg, The Netherlands, Norway, Sweden and the United Kingdom.

Some institutions and lobby groups remain fixated on ODA, but many development actors now reject it as flawed. A major theme of the Spring Meetings is how to move beyond ODA and expand other forms of financing for development. ODA is, among other things, symptomatic of a charity perspective, rather than investment; inappropriate for South-South cooperation; and unable to capture the big new landscape of public-private links. What’s more, it is riddled with self-serving quirks like scoring numerous flows—the cost of university places in donor countries, and administrative costs of aid agencies—that never reach developing countries.

Perhaps the most telling weakness of ODA is that emerging powers like China and India see little merit (and arguably, some residual stigma) in this concept and, therefore, will not report on that basis to a club to which they do not belong. As their share of the world economy and their interactions with other “developing” countries continue to grow, this means ODA will inevitably start to represent an ever smaller share of official financing for development.

TOSSD stands for Total Official Support for Sustainable Development. The idea, still being fleshed out, is to have a universally accepted measure of the full array of public financial support for sustainable development. TOSSD should differ from ODA in at least three ways:

• First, it should take a developing country perspective rather than a donor country perspective. So it should cover the value of all funding for development that is officially supported, from pure grants to near-market loans and equity investments, as well as guarantees and insurance.
• Second, it should measure cross-border flows from all countries, not just the rich members of the OECD’s Development Assistance Committee.
• Third, it should include contributions to global public goods needed to support development, like U.N. peacekeeping and pandemic surveillance.

There are many complications behind any international attempt to define and track such a huge range of activities. Some are technical, but can probably be resolved with enough goodwill and professionalism. So, for example, we can debate how to establish whether and how official support to private investors changes their behaviour, delivering “additional” development results compared to a situation without that support. In the end, sensible solutions and workarounds will be found.

More difficult are a couple of politically sensitive challenges, which at the same time underlie the value of reaching consensus on a new measure. How far, for example, should the new measure recognise indirect spending on global public goods? Take for example public research on an AIDS vaccine that could lead to prevention of millions of deaths in developing countries. Right now, this would not count as ODA because the promotion of the economic development and welfare of developing countries is not its main objective.

We tend to think that consideration of globe-spanning benefits like these, which do not fit the simple mould of money crossing borders, is an essential feature of a new measure of development finance. However, it will need to be bounded sensibly, not least because of underlying suspicions that the countries that are today most likely to deploy such tools, and claim them as a large part of their distinctive contribution, are among the “old rich”—though that could change quickly. We suggest that spending on a defined list of global public goods should be included, perhaps those that support Agenda 2030, such as U.N. peacekeeping or a global research consortium like GAVI, the Vaccine Alliance.

A second potentially divisive issue, already alluded to, is how to value non-monetary flows, like technical assistance, and in a fair way across countries. We think it would be a powerful positive signal for international cooperation if even modest contributions by low- and middle-income countries are recognised, celebrated, and valued according to the contribution being made, not the cost of providing the assistance. The assistance provided by professionals from developing countries (think Cuban doctors) should be measured at the same prices as assistance provided by professionals from rich countries. Some form of purchasing power parity equivalence would need to be defined and used.

This is a hugely contentious question. Neither of the most obvious answers, the well-organised but globally unloved OECD and the legitimate but under-resourced U.N. secretariat, are likely to be acceptable without some changes. A preferred candidate has to have a sufficiently broad group of countries prepared to self-report on even a loose set of definitions in order to get momentum. At a minimum all the major economies of the world, for example members of the G-20, should be willing to participate. It should also have the technical capacity to help countries provide information in a consistent way.

The International Monetary Fund or World Bank could be candidates—most countries already report to them on a range of data, including financial flows. The Global Partnership for Effective Development Cooperation, with its membership of many development actors and technical support, could be another. Or a new group could be created in much the same way as the International Aid Transparency Initiative. This could even be a revamped Development Assistance Committee that operates with broader support in much the same way as the OECD’s tax work has many non-OECD members participating. What is important is that the guiding principle be to measure official cross-border financial resources that support the new universally-agreed Sustainable Development Goals, and to start now and learn by doing.  Such initiatives are too easily killed by subjecting them to endless external criticism that a perfect solution has not been found.

TOSSD may be one of the least attractive acronyms on offer today. Without disrespect to its OECD authors, it will anyway have to change to something that works for all the major stakeholders, and is not visibly invented in Paris and that also encourages players who are not strictly speaking “official,” like foundations, to sign up. We tend to favor a plainer, simpler wrapper like International Development Contributions (IDC), or Defined Development Contributions (DDC). 

May’s jobs gains, released this morning, show that only 38,000 new jobs were added this May, down from an average of 178,000 over the first four months of the year, and the least new jobs added since September 2010.

This year’s monthly job gains and losses can indicate how the economy is doing once they are corrected to account for the pattern we already expect in a process called seasonal adjustment. The approach for this seasonal adjustment that is presently used by the Bureau of Labor Statistics (BLS) puts very heavy weight on the current and last two years of data in assessing what are the typical patterns for each month.

In my paper “Unseasonal Seasonals?” I argue that a longer window should be used to estimate seasonal effects. I found that using a different seasonal filter, known as the 3x9 filter, produces better results and more accurate forecasts by emphasizing more years of data. The 3x9 filter spreads weight over the most recent six years in estimating seasonal patterns, which makes them more stable over time than in the current BLS seasonal adjustment method.

I calculate the month-over-month change in total nonfarm payrolls, seasonally adjusted by the 3x9 filter, for the most recent month. The corresponding data as published by the BLS are shown for comparison purposes. According to the alternative seasonal adjustment, the economy actually lost about 4,000 jobs in May (column Wright SA), compared to the official BLS total of 38,000 gained (column BLS Official).

In addition to seasonal effects, abnormal weather can also affect month-to-month fluctuations in job growth. In my paper “Weather-Adjusting Economic Data” I and my coauthor Michael Boldin implement a statistical methodology for adjusting employment data for the effects of deviations in weather from seasonal norms. This is distinct from seasonal adjustment, which only controls for the normal variation in weather across the year. We use several indicators of weather, including temperature and snowfall.

We calculate that weather in May had a negligible effect on employment, bringing up the total by only 4,000 jobs (column Weather Effect). Our weather-adjusted total, therefore, is 34,000 jobs added for May (column Boldin-Wright SWA). This is not surprising, given that weather in May was in line with seasonal norms.

Unfortunately, neither the alternative seasonal adjustment, nor the weather adjustment, makes todays jobs report any more hopeful. They make little difference and, if anything, make the picture more gloomy.

a. Applies a longer window estimate of seasonal effects (see Wright 2013).
b. Includes seasonal and weather adjustments, where seasonal adjustments are estimated using the BLS window specifications (see Boldin & Wright 2015). The incremental weather effect in the last column is the BLS official number less the SWA number.

The BBC is doing something I think is awesome but many of my American friends think is awful: gathering information of the social class background of their recruits. The move is part of an aggressive strategy to promote more diversity both on the airwaves and behind the scenes at the public service broadcaster. The civil service has been moving in the same direction.

Some questions arise:

Race and gender are relatively straightforward characteristics, notwithstanding the recent nonsense over restrooms for transgender people. Defining social class is a much more complex business. Many variables could be included, including occupational status, income or wealth, as well as education or cultural capital.

But the goal here is simply to find a measure that is good enough for the purposes at hand. The BBC asks whether either of your parents has a college degree. This is not a bad approach. Education is an important dimension of social class in itself, and strongly related to others. The BBC is also going to ask whether at any point in childhood the person in question was eligible for free school meals. (The questions are voluntary.)

Such proxy measures are narrow measures of class. But they are better than the current ones, since there are none.

Diversity can benefit organizations by widening the range of viewpoints and perspectives. A mixed team is a better team. Class background may be as important here as other factors.

Take two people of a different race or gender, each raised by wealthy East Coast parents, attending a top-drawer private high school, and graduating from an Ivy League college. They may not be as different from each other as they are from a white man raised by a poor single mother in a small Appalachian town.

The BBC is historically an upper middle class institution: “BBC English” meant a posh accent. The British professions in general have in fact tended to draw from a narrow talent pool. Around 7 percent of students attend private high schools (or “public schools”, in British). But they are strongly over-represented in the top professions, including journalism:

From a broader societal perspective, the persistence of class inequality is of course bad news for upward social mobility.

Simply raising awareness of a potential class bias in hiring and promotions could be valuable. Reforming institutional practices—for example the allocation of internship opportunities—may also help. Broadening the search for talent beyond the marquee brands of higher education is likely to diversify the class background of recruits; the BBC is also moving to both name-blind and institution-blind applications. At the same time, greater support for less traditional hires may help them to succeed.

The U.S. sees itself as a classless society, one reason Americans recoil against monitoring social class. It is an understandable instinct. But the perpetuation of class status is now at least as big a problem in the U.S. as in the UK. Even as white privilege and male privilege have diminished, class privilege has survived. A little more class-consciousness might not hurt.

Community banks play a key role in their local communities by offering traditional banking services to households and lending to nearby small businesses in the commercial, agriculture, and real estate sectors. Because of their close relationship with small businesses, they drive an important segment of economic growth. In fact, compared to all other banks (and to credit unions), small banks devote the greatest share of their assets to small business loans.

In this paper, titled "The community banks: The evolution of the financial sector, Part III," (PDF) Baily and Montalbano examine the evolution of community banks before, through, and after the financial crisis to assess their recovery.

The authors find that despite concerns about the long-term survival of community banks due a decline in the number of banks and increased Dodd-Frank regulations, they continue to recover from the financial crisis and are in fact out-performing the Big Four banks in several key measures.

Although the number of community banks has been steadily declining since before 2003, most of the decline has come from the steep drop in the smallest banking organizations—those with total consolidated assets of less than $100 million. Community banks with total consolidated assets that exceed $300 million have in fact increased in number. Most of the decline in community banks can be attributed to the lack of entry into commercial banking.

In a previous paper, Baily and Montalbano showed that the gap in loans and leases among the Big Four has widened since the financial crisis, but the new research finds that community banks seem to be returning to their pre-crisis pattern, although slowly, with the gap between deposits and loans shrinking since 2011. While total deposits grew gradually after 2011, though at a pace slower than their pre-crisis rate, loans and leases bottomed out in 2011 at $1.219 trillion.

The authors also examine community banks' return on assets (ROA), finding it was lower overall than for the Big Four or for the regionals, and has come back to a level closer to the pre-crisis level than was the case for the larger banks. The level of profitability was slightly lower for community banks in 2003 than it was for the larger banks—about 1.1 percent compared to 1.7 percent for the regional banks—but it did not dip as low, reaching a bottom of about -0.1 percent compared to -0.8 percent for the regional banks.

Baily and Montalbano also find that total assets of the community banks increased 22.5 percent (adjusted for inflation, the increase was 7 percent); the average size of community banks has increased substantially; total bank liabilities grew steadily from 2003-2014; the composition of liabilities in post-crisis years looked largely similar to the composition in the pre-crisis years; and securitization—which plays a relatively small role in the community banking model—has been steadily increasing in the time period both before and after the crisis. 

To read more, download the full paper here.

The paper is the third in a series that examines how the financial sector has evolved over the periods both before and after the financial crisis of 2007-2008. The first paper examines the Big Four banks, and the second takes a closer look at regional banks.

Downloads

• Download "The community banks: The evolution of the financial sector, Part III"