Uninsurable Risk: Adverse Selection and the Politics of Scandals

American politics lately has been centered on SCANDAL! In particular, President Obama has been at the center of several well-publicized controversies, ranging from Benghazi to the IRS to the Department of Justice.

The politics of scandal is interesting.  For example, in none of the current scandals is there any real evidence that President Obama “did” anything directly (for example, as opposed to the crack-smoking scandal in Canada).  Rather, the questions center (appropriately) on whether the acts of subordinates reflect a general, if latent, policy/stance of the Obama Administration.  In all cases, the worry is essentially that the Obama administration is concerned with “political gain” at the expense of “good policy.”

Setting aside the difficulty of defining “good policy”—a ubiquitous problem that bedevils presidents from both parties—the “math of the politics of scandal” is similarly ubiquitous and bedeviling.  A potent view of the politics of scandal is provided by the notion of adverse selection. In particular, the adverse selection view of political scandals provides a useful understanding of why scandals are both inevitable and, more intriguingly, “important” even when the events directly associated with them are not necessarily so.

In a nutshell, adverse selection refers to situations in which there are multiple types of politicians (or any other agent), some of whom a given voter would prefer not to have in office, but the voter can not directly distinguish between the types.  Adverse selection is perhaps most visibly demonstrated in insurance markets: the insurance company would prefer to insure low risk individuals (e.g., good drivers), but provides a product that is necessarily particularly attractive to high risk individuals (bad drivers).

In the conventional view of politics, individuals who seek office are ambitious: campaigning is a costly and generally risky activity, and even holding office is not particularly remunerative. Accordingly, a degree of vanity or policy motivation is almost a sine qua non for a high profile political career.

Politicians who seek policy change are accordingly viewed with some suspicion: in order to secure public support for a new policy, a politician will seek to persuade voters that the policy is in their interest(s).  However, the costliness of campaigning, etc. and our belief that some politicians are accordingly driven by vanity or personal (rather than, or in addition to, “altruistic”) policy motivations implies that we view many such persuasion attempts with skepticism.  This is the first order effect of our awareness of the adverse selection problem: if there were no adverse selection problem, then we could rightly defer to the politician’s proposal.  (This protomodel can serve as a microfoundation for Richard Fenno’s famous “Home Style” argument: politicians seek to credibly emulate their constituents so as to ameliorate their constituents’ perceived likelihood of the adverse selection problem.)

The “politics of scandal” is a second order effect of adverse selection, in the sense that scandals, and the various courses they tend to run (e.g., slow burn, quick flame out, absolute barnburner, etc.) can be thought of as representing decentralized audits (or, perhaps, “sniff tests”) that politicians face from time to time.  If there were no adverse selection problem, a credible reform of consulate security would (or theoretically should) “end” the Benghazi scandal.  Similarly, if there were no adverse selection problem, replacing Michael Brown at FEMA would have quieted the backlash against President Bush following Hurricane Katrina.

So, what does the math of adverse selection tell us about scandal?  Well, the details of the model of course matter a lot, but a couple of generalizations are pretty robust.

  1. Scandals will be prolonged when the politician is already suspected of being a “bad type” and, furthermore, the scandal will be prolonged by and promoted towards those voters who are already suspicious of the politician.  (Call it the Kanye effect?)
  2. Admitting the failure and taking the blame for it can (will?) end the scandal.  This is because, under the typical adverse selection setting, the notion that the scandal is informative is precisely because the politician is actively trying to conceal his or her type. (Definitely call this the “Bay of Pigs/Janet Reno” effect.)
  3. Scandals will be prolonged when the act(s) in question have a high probability of revealing new information about the politician.  That is, a scandal that strongly contradicts closely held beliefs of the politician’s supporters about the “true nature” of the politician (e.g., the AP subpoena scandal for Obama or the Rush Limbaugh prescription drug scandal) will be prolonged precisely because those opposed to the politician have a greater incentive to push, dig, and promote it.  To take the contrapositive, it is unclear that Obama would be (politically) harmed even if it came out that he personally audited and harangued tea party 501(c)(3) groups.  (Taking a similar example from the past, call this the “Dick Cheney’s Secret Task Force Effect.”)  (Also, as a mathofpolitics point, note that this is related to—in the sense of being the mathematical dual of—the “It Takes A Nixon To Go To China” class of signaling models.)
  4. Scandals are more prolonged when it is more plausible that the politician knew about the problem before it happened.  Of course, the famous saying that It’s not the crime, it’s the cover-up seems to suggest otherwise.  In reality, the saying is making exactly this point.  The reason that the cover-up was so important (as, similarly though less spectacularly, was the Whitewater/Lewinsky impeachment fiasco with President Clinton) is that the cover-up activities, the obfuscating, the dodging are all consistent with a “bad type” reluctant to reveal this fact.

In the practical terms of the three aforementioned Obama imbroglios, these generalities suggest to me the following rough-and-ready-and-completely-seat-of-the-pants ranking of their “seriousness” from least to most serious:

  1. (Least) Benghazi,
  2. IRS,
  3. (Most) AP subpoenas.

This post is already arguably too long, but I’ll quickly list the empirical characteristics that helped me make this list in light of the four generalities above:

  1. Attorney General Holder is still in office and presumably a close confidante of President Obama.  Note that Attorneys General are Ground Zero for modern Cabinet-level scandals. (Sorry, Department of the Interior, the heydays of the 19th and early 20th Century are currently no more but, that said, never forget the now-disemboweled Marine Mineral Service and the Deepwater Horizon disaster.)
  2. The AP scandal is arguably distinctly “unDemocratic”—particularly in light of its obvious analogies with the various Nixon scandals (also applies to the IRS scandal even more directly, though the IRS was significantly reformed after Nixon’s fiascos).
  3. It’s not clear how Obama can come out “against” the AP scandal (for example, see this).  This is a bit complicated, but it is thin needle to thread to be against the AP scandal and against potentially-national-security-compromising leaks of classified information.

So, Obama rightly has his work cut out for him.  If it were me, which it most definitely ain’t, I don’t know what I’d do.  Probably obfuscate, wait for the public to become disinterested in subpoenas and journalists, and pray for a happy, healthy, and well-covered royal birth.

With that, I leave you with this.

 

Inside Baseball: Weather you like it or not, models are useful.

As a theorist, I write models.  (There is a distinction between “types” of theorists in political science.  It is casually and superficially descriptive: all theorists write models, just in different languages.)

One of the biggest complaints I hear—from both (some) fellow theorists and (at least self-described) “non-theorists”—is the following equivalent complaint in different terms:

  1. Theorists: …but, is your model robust to the following [insert foil here]
  2. “Non-theorists”:  …but, your model doesn’t explain [insert phenomenon here]

It is an important point—perhaps the most (or, only) important point—of this post that these are the same objection. I have been busy for the past month or so, and in the interest of getting those phone lines lit up, I thought I would opine briefly on what a social science model “should” do.  Of course, your mileage may vary, and widely.  This is simply one person’s take on an ages-old but, to me at least, underappreciated problem.

Models necessarily establish existence results. That is, a model tells you why something might happen.  It does not even purport to tell you why something did, or will, or did not, or will not, happen.  (Though I have a different take on a related but distinct question about why equilibrium multiplicity does not doom the predictive power of game theory.)

Put it another way: a model is a (hopefully) transparent, complete (i.e., “rigorous”) story or narrative offering one—most definitively not necessarily exclusive—explanation for one or more phenomena.  I regularly (co-)write models of politics (recent examples include this piece on cabinets and other thingsthis piece on the design of hierarchical organizationsthis piece on electoral campaigns, and this forthcoming book on legitimate political decision-making).  All of them are “simply” arguments.  None of them are dispositive.  The truth is, reality is complicated.

Politics is a lot like meteorology.  We all know and enjoy, repeatedly, jokes along the lines of “hell, if I could get a job where you only need to be right 25% of the time….,” but the joke makes a point about models in general.  Asking any model of politics to predict even half of the cases that come to you after reading the model is like asking the meteorologist to, say, correctly and exactly predict the high and low temperature every day at your house.  No model does that.  Furthermore, it is arguable that no model should be expected to, perhaps, but that’s a different question.  More importantly, no model is designed to do this…because it defeats the point of models.

Running with this, consider for a moment that a lot more is spent on meteorological models than political, social and economic ones (e.g., the National Weather Service budget is just shy of $1 billion and that of the Social and Economic Sciences at the NSF is approximately 10% of that). Models are best when they are clear and reliable.  Sometimes, reliability means—very ironically—“incomplete in most instances.”  Consider a very reliable “business model”:

“Buy low, sell high.”

This model, setting aside some signaling, tax, and other ancillary motivations (which I return to below), IS UNDOUBTEDLY THE BEST MODEL OF HOW TO GET RICH. 

However, it is incomplete.  WHAT IS LOW? And you can’t answer, “anything less than `high,'” because that merely pushes the question back to WHAT IS HIGH?

Of course, some people will rightly say that this indeterminacy is what separates theory from praxis.  The fact is, even the best good models don’t necessarily give you “the answer.”  Rather, they give you an answer.  One can reasonably argue, of course that a model is “better” the more often its basic insights apply.  But that is a different matter.

Returning to the “buy low, sell high” model, consider the following quick “thought experiment.”  Suppose that Tony Soprano approaches you and says, “please buy my 100 shares in pets.com for $10,000.”  Should you?  According to the model, the answer is clearly no: shares in pets.com are worth nothing—and never will be worth anything—on the “open market.”

But, running with this, Tony has approached you for “a favor.”  Let’s not be obtuse: he bailed you out of that, ahem, “incident” in Atlantic City back in ’09, and you actually have two choices now: pay $10,000 for worthless shares in pets.com or have both of your kneecaps broken. (Protip: buy the shares.)

The right choice, given my judicious/cherry-picking framing, is to buy shares high and “sell them low.”  Well, this proves the model wrong, right?  No.

It simply change the definition of “value when sold.”  It reveals the incompleteness of the theory/model.

This is basically my point: no model is truly “robust,” even to imaginable variations and, conversely, it is certainly the case that smart people like you can come up with examples that at least seem to suggest that the model doesn’t describe the world.

It’s kind of an analogy to a foundation of empirics and statistics: central tendency.  Models should indicate an interesting part of a phenomena of interest.  In this sense, a good model is an existence proof, sort of like the Cantor Set: it demonstrates that things can happen, not necessarily that they do.  The fact that those things don’t always happen doesn’t really say much about the model, just like you read/watch the weather every day even while making those jokes about the meteorologist.

And with that seeming non sequitur, I push forward and leave you with this.

The Impermissibility of Permission Structures

The idea of a “permission structurehas attracted some attention this week.  The basic idea of this phrase, it seems, is as follows: A doesn’t trust B to do some activity X because A fears that B does not have A’s best interests at heart in the “realm” of X.

A good example of this type of distrust is when you get in a car accident.  Both you and your car insurance company are faced with the difficulty of who should determine what “should be fixed” under your policy. You don’t want the insurance company to determine this, because they have an incentive to minimize costs and, accordingly, denote too few things as “needing to be fixed.”  On the flip side, your insurance company doesn’t want to let YOU determine this, because suddenly that “three martini lunch bumper ding” you got 6 months ago is deemed “covered” and repaired on the insurance company’s dime.

The point I want to make is that, at least in a very specific sense, permission structures can (almost) never solve the problem they are purportedly designed to solve.  In a nutshell, think of a simple model where there are two types of politicians: one type is “faithful” and the other type is “biased.” To continue to keep it simple, suppose that the faithful type of politician will always use (say) increased taxes in a way that benefits you and the biased type will use them in such a way as you would rightly prefer not to have your taxes increased for how he or she would spend the resulting revenues.

The idea of a permission structure is to clarify to you, the voter, when the politician is a faithful type and not a biased type.  As Obama said recently,

We’re going to try to do everything we can to create a permission structure for [Congressional Republicans] to be able to do what’s going to be best for the country.

The impossibility of “creating a permission structure” (regardless of whether it is through “third party authentication” or otherwise) is due to the use of the term “creating” (it is also doubly ironic for Obama to announce that he and his team are going to “try to do everything we can” to create one).  The math of politics of this post is a remarkably simple point that seems to have been closely brushed by many of the analysts, and it rests on the concept of “creating” such a structure. Suppose that a third-party authenticator could be found/created/cajoled—or even simply brought to everyone’s attention—that would lead voters to say “hey, cool—you’re the faithful type!”  Then think for a minute and ask yourself—why would the biased type not find/create/cajole such an authenticator?  Indeed, in many (but not all) situations, the biased type would have a stronger incentive to create a permission structure than the faithful type.

There’s always the possibility that when the politician is a biased type no such authenticator could be found/created/cajoled.  But, let’s be honest, that’s a pretty knife-edge case.  (I mean, have you heard of Wayne LaPierre?)  Also, it’s at least theoretically possible that the biased type is relatively uninterested in raising your taxes (and, accordingly, little interest in creating a permission structure).  I leave this to the side, as such a presumption describes exactly zero American voters’ beliefs about politicians.

Accordingly, the problem with Obama’s statement wasn’t the elitist/wonkish sound of the term, or the possibility that it strengthened a perception of him being unwilling to “knock some heads” or otherwise “lead.”  (Nonetheless, I do appreciate the irony of conservatives banging on the table saying “WHY DON’T YOU LEAD LIKE THE GUY WHO CREATED MEDICAID AND GOT BOTH THE CIVIL RIGHTS & VOTING RIGHTS ACTS PASSED!!!”)

…No, the only real problem with the statement is that Obama pointed out the man behind the curtain: many voters can’t trust “government” right now precisely because they have a strong suspicion that government is trying to fool them.  This is very sad to me for many (nonpartisan) reasons, but it illuminates the adage:

Never trust a man who says, “Trust me.”

With that, I leave you with this.