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Archive for May, 2012

A man with one clock always knows the time. A man with two clocks is never sure.

This week brings the two heavyweights of economic statistics. On Thursday morning we got the latest read on economic growth, and on Friday we learn how the job market fared in May.

Government statisticians and outside commenters usually emphasize a particular headline number in these reports. For the economy as a whole, it’s the annual growth rate of gross domestic product (GDP), which logged in at a mediocre 1.9 percent in the first quarter. For jobs, it’s the number of nonfarm payroll jobs created in the past month (115,000 in April, but that will be revised on Friday morning).

In each case, the government also reports a second measure of essentially the same thing. Jobs day aficionados are familiar with this. The payroll figure comes from a survey of employers, but the Bureau of Labor Statistics also reports results from a survey of people. That provides the other famous job metric, the unemployment rate, and a second count of how many people have a job. The concept isn’t exactly the same as the payroll measure–it includes a broader array of jobs, for example, but doesn’t reflect people holding multiple jobs–but it’s sufficiently similar that it can be an interesting check on the more-quoted payroll figure.

The downside of this extra information, however, is that it can foster confusion. In April, for example, payrolls increased by 115,000, but the household measure of employment fell by 169,000. Did jobs grow or decline in April?

Another, less well-known example happens with the GDP data. The Bureau of Economic Analysis calculates this figure two different ways: by adding up production to get GDP and by adding up incomes to get gross domestic income (GDI). In principle, these should be identical. In practice, they differ because of measurement challenges. As Brad Plummer notes in a piece channeling Wharton economist Justin Wolfers, the two measures tell somewhat different stories about recent economic growth. In Q1, for example, GDI expanded at a respectable 2.7 percent, much faster than the 1.9 percent recorded for GDP. Is the economy doing ok or barely plodding along?

Such confusion is the curse of having two clocks. We can’t be sure which measure to believe. Experts offer good reasons to prefer the payroll figure (e.g., it’s based on a much larger survey) and GDP (e.g., income measurement is difficult for various technical reasons, including capital gains). But there are counterviews as well; for example, at least one paper finds that GDI does a better job of capturing swings in the business cycle.

Despite this confusion, two clocks are better than one. They remind us of the fundamental uncertainty in economic measurement. That uncertainty is often overlooked in the rush to analyze the latest economic data, but it is real. There are limits to what we know about the state of the economy.

In addition, a weighted average of two readings may well provide a better reading than either one alone. If one clock says 11:40 and another says 11:50, for example, you’d probably do well to guess that it’s 11:45. Unless, of course, you have reason to believe that one clock is better than the other.

The same may well be true for GDP and GDI – the truth is likely in the middle. (This is less true with the jobs data; because of the larger sample, I weight the payroll measure much more heavily than the household measure, at least for monthly changes.)

P.S. For more on GDP vs. GDI, see Dean Baker and Binyamin Appelbaum.

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Deficit Hawk Attacked by Regular One


Via xkcd (who would prefer to vote for a deficit sugar glider)

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The World’s Most Traveled Bird?

B95, aka Moonbird, has again touched down in New Jersey. After refueling, he will head north to the Canadian arctic for at least his 20th breeding season. Remarkable for a four-ounce red knot whose normal lifespan is just four or five years and whose annual migration begins and ends way down in Tierra del Fuego.

B95 has logged at least 320,000 miles over the years, probably more. That’s enough to go to the moon and halfway back, hence his nickname.

He’s even got a biography coming out this summer.

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Women in the United States have the best quality of life of any developed nation, according to the Better Life Index recently released by the Organization for Economic Cooperation and Development.

The index combines eleven different measures of wellbeing, including health, education, income, and life satisfaction. Australia gets top honors for overall wellbeing, but U.S. women top the rankings (women in red, men in black; you’ll probably have to click to read this chart):

Any such index rests on many assumptions and value judgements, of course. So kudos to the OECD for providing a completely interactive version of the index. If you don’t like the way they combine the eleven factors, you can roll your own index and see what happens.

Among other things, that allows you to drill down on each of the individual factors the OECD considers. The “life satisfaction” element reveals that the United States is an outlier in another way: the disparity between women’s life satisfaction and men’s:

Korea has the largest gap, with women reporting much higher satisfaction than men. The United States has the second largest gap, with women noticeably more satisfied than men. (But do note that by this metric alone, the United States is not the best place for women–several countries are higher.)

If you like data, interactive graphics, and international comparisons, you’ll probably enjoy putting the OECD’s Better Life Index through its paces.

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Public opinion surveys provide a wealth of information about beliefs in America and around the world. For example, they document how much public approval for same-sex marriage has been increasing, how Facebook has infiltrated many of our daily lives, and how humanitarian aid affects how citizens of other nations view America.

But pollsters face a significant challenge. As the Pew Research Center for the People & the Press notes in a new study, survey response rates continue to plummet:

Fifteen years ago, more than one in three of households responded to surveys. Today, that rate is less than one in ten.

That increases the cost of reliable surveys — to get a reasonable sample, you need to try to contact more households. Even more important, declining participation raises the question of whether the minority of respondents are representative of the population as a whole. The Pew Research Center study took a close look at that question:

The general decline in response rates is evident across nearly all types of surveys, in the United States and abroad. At the same time, greater effort and expense are required to achieve even the diminished response rates of today. These challenges have led many to question whether surveys are still providing accurate and unbiased information. Although response rates have decreased in landline surveys, the inclusion of cell phones – necessitated by the rapid rise of households with cell phones but no landline – has further contributed to the overall decline in response rates for telephone surveys.

A new study by the Pew Research Center for the People & the Press finds that, despite declining response rates, telephone surveys that include landlines and cell phones and are weighted to match the demographic composition of the population continue to provide accurate data on most political, social and economic measures. This comports with the consistent record of accuracy achieved by major polls when it comes to estimating election outcomes, among other things.

This is not to say that declining response rates are without consequence. One significant area of potential non-response bias identified in the study is that survey participants tend to be significantly more engaged in civic activity than those who do not participate, confirming what previous research has shown. People who volunteer are more likely to agree to take part in surveys than those who do not do these things. This has serious implications for a survey’s ability to accurately gauge behaviors related to volunteerism and civic activity. For example, telephone surveys may overestimate such behaviors as church attendance, contacting elected officials, or attending campaign events.

However, the study finds that the tendency to volunteer is not strongly related to political preferences, including partisanship, ideology and views on a variety of issues. Republicans and conservatives are somewhat more likely than Democrats and liberals to say they volunteer, but this difference is not large enough to cause them to be substantially over-represented in telephone surveys.

In short, opinion surveys likely overstate civic activity, but otherwise appear to track other observable political, social, and economic variables.

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Last week I argued that budgeting for Medicare’s hospital insurance program is flawed. Today, I offer two ways to fix it (and reject a third).

Medicare Part A is one of several federal programs that control spending through a “belt and suspenders” combination of regular program rules (the belt) and an overall limit (the suspenders). But it’s the only one that allows legislated savings to offset the costs of policy changes in other programs and extend the time before the overall limit constrains operations.

Congress can’t increase Social Security payroll taxes to pay for increased health care spending or reduce flood insurance subsidies to pay for tax cuts; in both cases, the resources stay within the affected programs. And when it cuts spending on Medicare Parts B and D to pay for other spending, no one claims those cuts will also postpone the day when trust fund exhaustion will disrupt their operations.

Such double counting is possible only in Medicare Part A. And it’s a real problem, creating needless confusion and reinforcing the sense that Washington plays fast and loose with budget numbers.

Happily, Congress knows how to fix this problem. All it needs to do is apply to Medicare A the practices used by one of the other programs that have “belt and suspenders” budgeting but avoid potential double counting.

One approach would be the rules used by the National Flood Insurance Program. As I discussed in more detail last week, those rules require that any legislated savings remain in the program. Lawmakers can’t reduce NFIP subsidies to pay for new spending in other programs. Instead, any savings are automatically earmarked to pay future NFIP claims that would go unpaid because of the program’s borrowing limit. (For an example, see here.)

This approach brings the overall limit explicitly into the budget. But it makes for weird budgeting. For example, the budget baseline would show Medicare A breaking even over the long run, since the trust fund limit would take precedence over its fundamental deficits.

A better approach would adopt the rules used by Social Security. Those rules show Social Security running deficits far into the future in the budget baseline, but they still take the trust fund seriously when examining new legislation. Any proposed cuts to the program’s spending or increases in its revenues are “off budget”. The Congressional Budget Office reports them, but Congress can’t use them to pay for other spending.

A recent Senate bill provides a telling example. The bill would expand the type of income subject to payroll taxes in order to pay for a one-year extension of low interest rates on student loans. Those low rates would cost $6 billion, but the Senate proposal would raise $9 billion. The bill had to overshoot that much because $3 billion comes from higher Social Security taxes and is thus off limits. Meanwhile, the $6 billion in usable revenues comes from Medicare Part A, which is considered “on budget” despite having a trust fund just like Social Security’s.

That difference highlights the inconsistency in current budgeting. If policymakers believe the Part A trust fund is as sacrosanct as Social Security’s, they should provide the same budgetary protection: Part A savings should be off budget, where they couldn’t be used to pay for health reform, student loans, tax cuts, or anything else outside the hospital insurance program.

If Congress doesn’t believe the trust fund deserves that protection, it should adopt a third approach: make the Part A fund as operationally toothless as the one for Medicare B and D. Those programs spend much more than they receive, so their trust fund has unlimited ability to draw on general revenues. If the same were true for Medicare Part A, program changes could be used to pay for health reform (as they were in 2010) or anything else, just like any other mandatory program. But we wouldn’t have any confusion over whether those changes also extend the program’s ability to operate.

The Social Security and Medicare B and D approaches both make more sense than the mishmash that applies to Medicare A today. I think the Medicare B and D approach is the better of the two, not least because it would put all the parts of Medicare on equal footing. But one could certainly argue for the Social Security approach instead. That’s the discussion we should have now so that we can avoid needless double-counting debates in the future.

P.S. Several readers noted an important qualification to my Social Security discussion in my earlier post. Many experts believe past Social Security surpluses have been used to finance deficits in the rest of the budget and, as a result, Social Security resources have been paying for higher spending or lower revenues elsewhere in government. I agree. My comments in these posts apply only to explicit budgeting decisions, like those in 2010’s health reform or today’s student loan legislation. In that context, Social Security savings cannot be legislatively used to pay for other programs. But they still might have indirect effects. For example, by reducing future unified budget deficits, Social Security savings might weaken future congressional efforts to reduce deficits outside Social Security.

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The Congressional Budget Office is out with another fine infographic, this time on energy security.

The entire infographic is too big to post here, but here’s how Andrew Stocking and Maureen Costantino portray America’s energy sources and uses:

One of the most notable features is the absence of any link from natural gas to transportation (some natural gas is used in transportation, of course, but not enough to make the cut for this image). Given the ever-growing divergence between oil and natural gas prices, I wonder whether that will still be true a decade from now? Or will someone finally crack the natural gas to transportation fuel market in a big way?

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