Medicare vouchers

Ross Douthat surveys and evaluates the debate over Paul Ryan's "Medicare vouchers" plan.  Here Ezra interviews Ryan.

I am very interested in voucher plans but here is one source of my unease.  Let's say you are given a voucher for a health insurance plan and there is no legal requirement that the plan cover Parkinson's.  Many people buy plans which do not cover Parkinson's.  Some of those people get Parkinson's.  Are we pre-committing to ignore the woes of those people?  If so, how exactly do we do this?

I'm not ruling this alternative out (there are plenty of cases where we let people die), I just want to know what are the surrounding institutional structures, what happens if these people show up at emergency rooms, and also whether this wouldn't, eventually, give rise to a new "second tier" of lower-quality public sector institutions to handle cases not covered by insurance.

That is indeed one possible reform: a UK-like system for those who gamble and lose, with higher quality care for those who buy the more comprehensive or the more balanced policies.  (Maybe lots of people will buy gold-plated care for heart disease and nursing homes but go uncovered for neurological disorders, just to state one possibility.)  You'll notice, however, a tension.  The better the second-tier public-owned institutions, the more people will gamble with low or unbalanced levels of coverage.  The UK-like system might take over large parts of health care, with a private insurance-based system for some subset of maladies only. 

That's not the end of the world but perhaps it should be evaluated as such.  You might already be thinking that parts of the nursing home and mental health sectors operate this way under the status quo.

There's also a longer-run question, namely whether the seniors would prefer to capture those resources in the form of social security benefits — cash — and take their chances with the publicly owned institutions to a greater degree.  Maybe yes, maybe no, but those are the issues I think about when it comes to this kind of voucher plan.

At the other end of the spectrum, the law can mandate that the voucher-funded insurance plans cover lots and lots of conditions.  Mandates don't stay modest, etc.  In that case, is there really competition between the private insurance plans?  What's the advantage of having private participation here if the insurance companies are regulated like public utilities and forced into a common price/quality mode?

It seems to me that the first set of alternatives are the relevant comparison.

One proposal for health care reform is to stipulate a total (fixed) budget for social security and Medicare together and then create a commission — controlled by Congressmen from Florida — to allocate the funds as is seen fit.  I wonder what the resulting equilibrium would look like.  Is that a politically acceptable way to institute a de facto voucher program?

Markets in everything

Anti-theft lunch bags.  Here is the description:

…a few spots of mold may work wonders to protect your precious sandwich when your custom labels, pleading requests and desperate detective work fail to find your regular at-work lunch thief. Reusable, resealable, one-size-fits-all and ready to go right out of the box (or brown paper bag), these clever little containers from Think of The might seem more like a prank object or gag toy than a functional product but it will almost certainly deter even the hungriest of would-be food hackers.

Mold 

For the pointer I thank Lawrence Rothfield, author of this excellent book.

Henry Aaron writes to me

James Kwak's calculation of the value of tax exclusion is incomplete.  He leaves out the exclusion from the payroll tax, worth 15.3 percent to the person in his example and to most people, and 2.9 percent (at the margin) for the rest who earn more than the OASDI taxable maximum.  The correct math is that the gross wage is 1 + .0765 = 1.0765 to allow for the employer's payroll tax cost.  The take home pay that could be used, after both payroll and income tax for someone in the 15 percent bracket is 1 – 0.0765 – 0.15 = 0.7735.  That means that the tax wedge is equivalent to a subsidy of 1- [.7735/1.0765] =.7185.  That is a 28.15 percent subsidy. 

For filers in the 28 percent bracket, which is easy to reach for a couple each of whom earns, say, $75,000, the subsidy is a bit over 40 percent.

Words of wisdom

From Felix Salmon:

…if you decided to short only countries whose foreign exchange reserves reached some large proportion of gross world product, you’d be batting 2 for 2 right now as you started shorting China. First you would have shorted the USA in the 1920s, and then you would have shorted Japan in the 1980s.

You can make a lot of mistakes by analogizing governments to countries, but every now and then it is worth doing.  If I were a major investor, I would get nervous each time I saw a company with massive cash reserves on its balance sheet.  That's often a sign that discipline is headed out the window.

To be sure, it is possible for a government (or company) to make mistakes in the other direction as well.

How much does tax-subsidized health insurance matter for health care costs?

James Kwak gives us his back-of-the-envelope estimate:

The median family household had income of $62,621 in 2008, which means it has a marginal tax rate of 15%. (We’re pretty close to the 25% threshold, so I’ll use 20% in what follows.) So without the exclusion, the typical family plan would cost about $16,000 in pretax dollars, not $13,000; the exclusion gives the median family a discount of 20%. Only about 60% of people get health insurance through an employer plan, so the average discount across the population is only 12%. Given that the price elasticity of health care is almost certainly a lot less than one (if you double the price, demand won’t fall in half), the overconsumption due to the tax exclusion must be less than 12%. Yet our per-capital health care expenditures are more than 60% above those of any other advanced country.

In other words it matters, but not as much as many people claim.

Addendum: Here is Henry Aaron's correction.

The fact I would like to know about the stimulus

I break the stimulus into three parts: the tax cuts and transfer increases, the aid to state and local governments, and the traditional spending programs.  Here I'm talking about only the third part.  (If you are wondering, I regard the first part as mostly ineffective and the second part as mostly effective.)

Of the workers employed by this third part of the Obama stimulus, what percentage of them already had jobs?  What percentage moved from unemployed to employed?  More hypothetically, what percentage had jobs but would have lost them, thus effectively counting as a move from "unemployed" to "employed" status?

I'm not talking about the maybe-hard-to-estimate effects from boosting aggregate demand, I'm talking about the "mere counting" aspect of the problem.  "We hired him, he didn't have a job before.  Now he has a job."  What percentage of the hired people fall into that category?

I've read plenty on these studies, but they don't seem "net" to me.

Does anyone know where this information is available?

Census Miscounts

Wow, Justin Wolfers reports on a new NBER paper (ungated) by Trent Alexander, Michael Davern and Betsey Stevenson, that finds big errors in Census data, especially for citizens 65 years and older.

What’s the source of the problem? The Census Bureau purposely messes with the microdata a little, to protect the identity of each individual. For instance, if they recode a 37-year-old expat Aussie living in Philadelphia as a 36-year-old, then it’s harder for you to look me up in the microdata, which protects my privacy. In order to make sure the data still give accurate estimates, it is important that they also recode a 36-year-old with similar characteristics as being 37. This gives you the gist of some of their “disclosure avoidance procedures.” While it may all sound a bit odd, if these procedures are done properly, the data will yield accurate estimates, while also protecting my identity. So far, so good.

But the problem arose because of a programming error in how the Census Bureau ran these procedures. The right response is obvious: fix the programs, and publish corrected data. Unfortunately, the Census Bureau has refused to correct the data.

The problem also runs a bit deeper. If the mistake were just the one shown in the above graph, it would be easy to simply re-scale the estimates so that there are no longer too many, say, 85-year-old men – just weight them down a bit. But it turns out that the same coding error also messes up the correlation between age and employment, or age and marital status (and, the authors suspect, possibly other correlations as well). When you break several correlations like this, there’s no easy statistical fix.

Worse still, the researchers find that related problems afflict the microdata released for other major data sources. All told, they’ve found similar errors in:

  • The 2000 Decennial Census.
  • The American Community Survey, which is the annual “mini-census” (errors exist in 2003-2006, but not 2001-02, or 2007-08).
  • The Current Population Survey, which generates our main labor force statistics (errors exist for 2004-2009).

These microdata have been used in literally thousands of studies and countless policy discussions.

What is interdisciplinarity?

Maybe not what you think.  Louis Menand writes:

Interdisciplinarity is not something different from disciplinarity.  It is the ratification of the logic of disciplinarity.  In practice, it actually tends to rigidity disciplinary paradigms.  A typical interdisciplinary situation might bring together, in a classroom, a literature professor and an anthropologist.  The role of the literature professor is to perform qua literature professor, bringing to bear the specialized methods and knowledge of literary study to the subject at hand; the role of the anthropologist is to do the same with the methods of anthropological inquiry.  This methodological constrast is regarded as, in fact, the intellectual and pedagogical takeaway of the collaboration.  What happens is the phenomenon of borrowed authority: the literature professor can incorporate into his work the insights of the anthropologist, in the form of "As anthropology has shown us," ignoring the probability that the particular insight being recognized is highly contested within the anthropologist's own discipline.

Because professors are trained to respect the autonomy and expertise of other disciplines, they are rarely in a position to evaluate one another's claims.  So there is nothing transgressive about interdisciplinarity on this description.  There is nothing even new about it.  Disciplinarity has not only been ratified; it has been fetishized.  The disciplines are treated as the sum of all possible perspectives.

Here is my previous post on Menand's new book.

In what way is blogging science?

Scott Sumner has a long and thoughtful post.  Here is one bit:

According to the Official Method, none of these tidbits matter.  But I have noticed that they have had some impact on my readers.  They are each slightly persuasive about some aspect of my argument.

It has to be read in the context of the longer post, but it's a very important point.  And this:

So that’s the goal of my blog, to constantly use theoretical arguments, empirical data, clever metaphors, and historical analogies that make people see the current situation in a new way.

Read the whole thing.  It's one of the best statements of how blogging can make a difference; just don't call Scott a blogger…

The world’s 25 dirtiest cities

Here is the article, here is the top of the list:

1, Baku, Azerbaijan

2. Dhaka, Bangladesh

3. Antananarivo, Madagascar

4. Port-au-Prince (pre-quake?  I believe they are now uncontested #1 or will be soon.)

5. Mexico City

Most of the rest are in Africa.  If I did the ranking, Mexico City would do much better than number five, since air pollution isn't as bad as the lack of sanitation in cities such as Conakry (a mere #19).  And why does Bangui (CAR) get such an idyllic photo?  Nor does Google offer up any nasty photos of the place.

Hat tip goes to the essential Rachel Strohm, Twitter feed here.

Obligatory budget post

I keep on hearing about a "pivot," but where is it?  Via Greg Mankiw and Arnold Kling, here is Keith Hennessey:

We can draw five important conclusions from this graph:

  1. At 8.3% of GDP, the proposed budget deficit for 2011 is still extremely high.
  2. President Obama is proposing larger budget deficits than he did last year.
  3. For 2011, the most relevant year of this proposal, the President is proposing a budget deficit that is 2.3 percentage points higher than he did last year (8.3% vs. 6.0%).
  4. Using his own numbers, the President’s proposed budget deficits will cause debt as a share of the economy to increase.
  5. Under the President’s proposal, budget deficits begin to increase as a share of the economy beginning in 2018.

Adding further detail to (4), the President’s own figures show deficits averaging 5.1% of GDP over the next 5 years, and 4.5% of GDP over the next ten years.  They further show debt held by the public increasing from 63.6% of GDP this year to 77.2% of GDP ten years from now.  I think it’s a safe assumption that CBO’s rescore of the President’s budget will be even worse.

Addendum: Brad DeLong objects.