Why would a narrow elite ever extend the vote to the masses?  Perhaps the hand of the elite is forced by the threat of revolution.  To convince the masses that the elite is committed to giving them surplus, the elite extend the franchise.  This is argument of Acemoglu and Robinson.

Lizzeri and Persico have a quite different argument which has particular resonance for Britain’s Age of Reform in the nineteenth century.  Suppose only a fraction of the population can vote.  Two parties, the Whigs and the Tories compete for their vote.  The parties can either offer a public good or a transfer with revenue generated via taxation. When the enfranchised group is a small elite, there is an incentive to tax the entire population and then target transfers to swing voters in the elite.  That way a party can give them as much as they would get with pubic good provision and get into power.  The mass of the elite that is not targeted gets no transfer.

When the franchise is extended pork barrel politics is not as powerful as the taxable endowment is not large enough to offer the now larger majority enough to compensate them for zero pubic good production. Each political party can at least get a 50% chance of getting elected by offering public goods.  Hence, an extension of the franchise leads to less pork barrel politics and more public good production.  Some members of the elite are indifferent to this change and others – those who were not receiving transfers when the franchise was small – strictly prefer it.  Hence, extension of the franchise Pareto-dominates a small franchise.  The franchise can be extended even when there is no threat of revolution by the disenfranchised masses.

The Pareto-domination property does not obtain in general (when voters are ideological and pubic good production is not zero-one) but the majority of the elite prefers extension of the franchise.  In nineteenth century Britain, members of the elite clamoured for the extension of the franchise.  There was less pork barrel transfer and more public good production after the franchise was extended.

The Mexico City Assembly is considering a measure which would enable marrying couples to specify a fixed, finite duration for the marriage contract.

The minimum marriage contract would be for two years and could be renewed if the couple stays happy. The contracts would include provisions on how children and property would be handled if the couple splits.

“The proposal is, when the two-year period is up, if the relationship is not stable or harmonious, the contract simply ends,” said Leonel Luna, the Mexico City assemblyman who co-authored the bill.

I wonder if they considered the various other margins along which to move to an interior solution.  We could be married forever but only on Thursdays.  Or if you are not yet ready to marry my I can still incentivize you to invest in me by writing you an option to marry me in the future.  Or I can go public, issuing matrimony shares.  My commitment to you is proportional to your ownership stake.

The NPR blog Planet Money is asking you to guess a number:

This is a guessing game. To play, pick a number between 0 and 100. The goal is to pick the number that’s closest to half the average of all guesses.

So, for example, if the average of all guesses were 80, the winning number would be 40.

The game will close at 11:59 p.m. Eastern time on Monday, October 10. We’ll announce the winner — and explain why we’re doing this — on Tuesday, October 11.

This is a famous game that has been used in numerous experiments investigating whether real people are as rational as game theory and economic theory assumes they are.  Powerful logic suggests that you should guess the number zero:

  1. For sure the average will be no greater than 100 so half the average will be no greater than 50.
  2. Anybody who is smart enough to figure this out will guess something no greater than 50 so the average will be no greater than 50 and half the average will be no greater than 25.
  3. Anybody who is smart enough to figure this out will guess something no greater than 25, etc.

Of course time after time in experiments the actual guesses are very far from zero, demonstrating that people are in fact less rational than economic theory assumes.

Planet Money, however is an intelligent blog and when they analyze the results of their experiment, they won’t jump to that conclusion. They will be insightful enough to see past the straw man.

It all starts at point 2.  It is true that people who are smart enough to figure out point 1 will guess something no greater than 50, but almost all of those people are also smart enough to know that there is a sizeable proportion of people who are not that smart.  And thus these smart people, if they are rational, will not deduce in point 2 that the average will be no greater than 50.  The induction will not take them past point 2.

In fact, some of the smartest and most rational people in the world, professional chess players, guess numbers around 23 when they play these experiments. (To be precise, the chess players were playing a version of the Beauty Contest were you are supposed to guess 2/3 of the average. Their guesses would be somewhat lower in the Planet Money version, see below.) And that is because if someone is indeed as rational as game theory and economic theory assumes she is, and also she is smart enough to know that

  1. Not everybody is that rational,
  2. Most of the rational people know that not everybody is that rational,
  3. Most of the rational people know that most (but not all) of the rational people know that not everybody is that rational

etc., then she will never choose anything close to zero.  Indeed, according to my calculations, the ultra-rational guess in the Planet Money Beauty Contest is about 16.  Here is how I came up with that number.

I think that

  1. About 2/5 of the Planet Money readers will be confused by the rules of the game and guess 50.
  2. Another 3/10 will be smart enough to know that the rational thing to do is to guess something less than 50, and reasoning as in the straw-man argument they will guess 25.
  3. The remaining 3/10 of the population are the really smart ones.
What will the really smart ones guess?  If they agree with me about the remaining 7/10 of the population then for sure they will not guess anything less than
\frac{1}{2}((\frac{2}{5}) 50 + (\frac{3}{10}) 25 ) = 13.75
because half the average will not be less than that.  And if they agree with me that 3/10 of the population are really smart and won’t guess anything less than 8.75, then in fact they won’t guess anything less than
\frac{1}{2}((\frac{2}{5}) 50+(\frac{3}{10}) 25 +(\frac{3}{10})13.75)
which is around 15.  Notice that, unlike the strawman argument, the implications of rationality are now implying higher and higher guesses, not guesses converging to zero anymore.  And if we take this to its logical conclusion and assume that this 3/10 of the population are the hyper-rational decision-makers that economic theory assumes, then the winning guess in the Planet Money Beauty Contest will be the value x that solves
x = \frac{1}{2}((\frac{2}{5}) 50+(\frac{3}{10}) 25 +(\frac{3}{10})x)
which is about 16.  And that is what I just guessed.

Students anywhere can watch my old friend Ben Polak teach his famous Yale class.  They can’t get a Yale grade for the class but that possibility is coming ever closer:  A professor at Stanford is teaching a robotics class and everyone can sign up, do the assignments, take the exams and get a certificate of “accomplishment.  Prospective employers do not know whether your friend took the exam for you. This means the certificate has little value.  But surely it is only a matter of time before some verification mechanism is set up and this problem is dealt with.

The implications of this change are multifold but I just want to focus on one: the impact on the research university.  Universities produce research as well as teaching and this other dimension is often forgotten in all the discussion of virtual teaching. Here is one possible sequence of events:

1. Virtual teaching cannibalizes face-to-face teaching.  Tuition goes down and courses become quite cheap.

2. This destroys tuition-based universities which turn into vast teaching factories.  A few universities try an “elite” approach with tiny classes taught by excellent teachers.

3. Endowment based universities continue to survive.  Researchers become concentrated in these universities.  They compete for government funding and do mainly PhD teaching.

4. A “top heavy” university structure emerges with a handful of research universities and a number of vast teaching universities.

This analysis assumes there is weak complementarity between research and teaching.  If there is strong complementarity, the teachers have to be researchers to keep courses up to date, exciting etc. This will make step 2 above more difficult and leave a structure like today’s but with universities having virtual counterparts and huge scale.

The roses in your garden are dead and your gardener tells you that there are bugs that have to be killed if you want the next generation of roses to survive.  So you pay him to plant new roses and spray poison to keep the bugs away.

Each week he comes back and tells you that the bugs are still threatening to kill the roses and you will need to pay him again to spray the poison to keep them away.  This goes on and on.  At what point do you stop paying him to spray poison on your roses?

Keep in mind that if there really are bugs waiting to take over once the poison is gone, you are going to lose your roses if you stop spraying.  So you are taking a big risk if you stop.  On the other hand, only he really knows for sure if the bugs are threatening, you are just taking his word for it.

Now add to that the possibility that the poison is not guaranteed.  You may have an infestation even in a week where he sprays.  Of course this only happens if the bugs are a threat.  If you spray for many weeks and you see no infestation this is a pretty good sign that the bugs are not a threat at all.

If you do stop spraying at some point, on what basis do you make that decision?  Assuming he is spraying vigilantly you would optimally stop after many weeks of no infestation.  You would continue for sure if one week the bugs return even though he was spraying.

But you don’t know for sure that he is actually spraying.  You are paying him to do it, but you are taking his word for it that he is actually spraying.  If you assume that he is doing his job and spraying vigilantly, and you therefore follow the decision rule above, and if we wants to keep his job then he won’t be spraying vigilantly after all.

So what do you do?

Consider an infinite-horizon decision problem consisting of a sequence of beats. Each beat is divided into two eighth notes and you have to decide when to play them.  If you have standard exponential discounting you will evenly space your beats through time.  You will play a classical rhythm.  But if you are what behavioral economists call a hyperbolic discounter and you have present bias, you will procrastinate the first eighth note.  But then in order to complete the beat you will need to play the second eighth note in quick succession.  This pattern will repeat through time.  You will play a swing rhythm.

  1. I can’t wait for the Rick Perry Presidency.
  2. The most surreal thing about this 1958 Mike Wallace interview with Salvador Dali is the advertisement for Parliament cigarettes at the beginning.
  3. The last Turing test:  appropriately appending “That’s what she said.”
  4. Various lies.
  5. The McGurk effect.
  6. Economics abstracts in haiku form.
  1. Sit on a spade fuyuh.
  2. Fall on a flaming can of Raid fuyuh.
  3. Reach into the garbage disposal to save a hastily discarded tapenade fuyuh.

He has a new book of aphorisms.

What’s the difference between a tweet and an aphorism?

A line like “what if hot dogs were the cut off horns of meat unicorns” can be interesting on Twitter because in Twitter it will burst into your feed like a surprise, it’ll be free, and there won’t by any high-minded literary expectation waiting for it in you. But copied & pasted into the literary form of the book and it becomes much more boring (at least to me) especially if it’s a book I’ve paid for, because while briefly interesting, its central juxtaposition doesn’t target anything I more than superficially care about.

The process:

I’d overhear someone use the verb ‘carom’ or something… and the little sweatshop in my head would get to work thinking, okay, that’s a strange-yet-familiar verb… what could carom?… death caroms… life caroms… time caroms… okay… off what… time caroms off life… off death… poetry caroms off death… no… more sound… character caroms off time…. okay a context… when does it do this… in death our character caroms off… grief… wait… what does that even mean… I can’t see it… start over… more visceral… laughter caroms off… laughter cannons off… laughter is a cannon fired by…” and so on. Often I would get to something that look and sounded right but wasn’t actually true. Or was true and wasn’t interesting. Basically cycling through until I gave up or found something that pleased all the gods. Sometimes it would be that clinical. Other times it would just come out. I would be writing something else or talking about a movie and an aphorism would erupt like a turd or Minerva in perfect form.

Comedy verus tragedy:

I tend to find more meaning in narrative and monologue, in broader emotional or psychological arcs, than in individual words, or the ephemeral joke-arc of a non sequitur. I think humor depends on depth of tension. There is just so little tension in randomness. Or in a pattern that is only available to the speaker. The first random thing that happens — pig-ponies! — can be funny for a second. But the next time it happens, it’s less funny because you’re ready for it. The listener has less anxiety about the end of the poem because the listener knows anything can happen. But if the joke is stripped of all non sequitur and pushed, relentlessly, along a path of logic which is blatantly available to both listener and speaker, both can have anxiety about where it will end up, and what it will ultimately mean. Maximizing this anxiety and then, at the last second, shattering it, is a key trope of humor. Part of keeping on that path is not breaking. It’s like how if someone told you that The Matrix was the best movie in the world, and then winked, that’s lame comedy. That to me parallels the flat effect of jokey poetry. But if they told you The Matrix was the best movie in the world and just stared into your eyes without blinking… until you blinked, that’s a tragedy so unbearable you have to laugh. You have to say that’s absurd. But this buffoon thinks it’s real? That’s impossible. Because that buffoon is a human like me. The irreconcilability of that wedges into us and leaves a giant triangle of anxiety. We survive by laughing. Otherwise we would simply kill that person. It feels good to laugh. Laughter is the orgasm of fear.

Dodd-Frank contained the so-called Durbin amendment which capped debit card fees that could be charged to merchants.  And now banks are charging $5/month to card holders because

[A]s Jamie Dimon, chief executive of JPMorgan Chase, put it after passage last year of the Dodd-Frank Act, “If you’re a restaurant and you can’t charge for the soda, you’re going to charge more for the burger.”

But if you can charge for the burger, why weren’t you charging for it in the first place?  There is a good reason why a bank could charge for the debit card: It is tied to a checking account and the cost of switching to a new bank will mean that the bank can get away with a small fee without much drop off in demand deposits.  So to paraphrase Dimon:

“If you’re a restaurant and you can charge for a burger, you’re going to charge for it, whether the soda is free or not.”

 

Digitopoloy.org:  Josh Gans, Erik Brynjolfsson, and Shane Greenstein.  Should be good.

Maximize birthday wishes.

I was born on Jan. 31, but I’ve always wanted a summer birthday. I set my Facebook birthday for Monday, July 11. Then, after July 11, I reset it for Monday, July 25. Then I reset it again for Thursday, July 28. Facebook doesn’t verify your birthday, and doesn’t block you from commemorating it over and over again. If you were a true egomaniac, you could celebrate your Facebook birthday every day.

He noted that for July 11th, he received 119 birthday wishes via Facebook. Four close friends were confused, but “most of them attributed the confusion to their own faulty memories.” When July 25th came around, he received another 105 birthday wishes. The number of people suspecting something was up was nine. The really stunning thing:

Of the 105 birthday wishes, 45 of them—nearly half—came from people who had wished me a Facebook happy birthday two weeks earlier.

On July 28th, just three days later, when it was his birthday again, he still ended up with 71 birthday wishes.

Casquette cast:  Mallesh Pai.

This looks like a big deal.

Prestigious US academic institution Princeton University will prevent researchers from giving the copyright of scholarly articles to journal publishers, except in certain cases where a waiver may be granted.

The new rule is part of an Open Access policy aimed at broadening the reach of their scholarly work and encouraging publishers to adjust standard contracts that commonly require exclusive copyright as a condition of publication.

I would guess that the waiver would be given routinely, but this is a step in the right direction.  via Andrea Ortolani.

Suppose you are going to fly Delta from O’Hare to Atlanta.  You could buy a ticket now for price p or try to get a ticket later at the last minute.  After all, later on you will have a more accurate picture of your willingness to pay for the flight.  Luckily for you, Delta has adopted a bidding system where you can compensate another passenger who gets bumped to seat you.  How does the bidding procedure affect Delta’s incentives to overbook or underbook the flight?  How does it affect the initial price p?

First, there is some “marginal consumer” who is indifferent between paying p for the flight now or waiting and taking their chances in the bidding system.  Consumers with “higher” signals than the marginal consumer strictly prefer to buy at price p and are left with surplus. Consumers with “lower” signals strictly prefer to wait and take their chances.  Opening up the bidding system increases the value of the ticket to the marginal buyer: now he has the option of reselling it and capturing some of the rents from people who find they desperately need to go to Atlanta after all.  This extra rent is simply recaptured by the seller by raising the price p.  This has the additional benefit that more rent is extracted from consumers with higher signals.  Finally, to make the resale market active, Delta had better overbook the flight.

Close your eyes. Apparently your opponent will have an increased tendency to imitate your move increasing the chance of a draw.  At least that is what is reported in this study.  A blindfolded player played RSP against a sighted player and their outcomes were compared to a control treatment in which two blindfolded players played.

A draw was achieved almost exactly 1/3 of the time when the two blindfolded players met, but that rate increased to 36.3% in the blind-sighted treatment, a statistically significant difference.  The authors attribute this to a sub-conscious tendency to imitate the actions of others.  In particular, when the blind player completed his move more than 200 miliseconds prior to the sighted player, the sighted player had an increased tendency to play the same move.

200 miliseconds is too fast for conscious reaction but still within the time necessary for the visual signal to be sent to the brain and an impulsive response signal to be sent to the hand.

If this is true then you should be able to increase your chance of winning in RSP by holding rock until the very last opportunity and then throw paper.  You will sometimes trigger an automatic imitation of your rock and win with your paper.

Are there even more draws when both players have their eyes open?

(Fez float:  Not Exactly Rocket Science.)

Via the Washington Post:

Last month… San Diego’s Stone Brewing Co., whose rare Vertical Epic beers are sometimes listed on eBay for more than $1,000 per bottle, began selling the first beer in its new Quingenti Millilitre series via a lottery system, and Stone has announced that people who try to resell it will be banned from future drawings. “We have involuntarily been a part of the eBay aftermarket for many years,” says Greg Koch, Stone’s co-founder and chief executive. “This is the first time we’ve come out, laid it on the table and said very point-blank, ‘Please, do not resell.’”…

Stone’s use of a lottery is intended to keep its beer accessible and relatively inexpensive. The brewery hopes to reward devotees rather than opportunists, and although it is selling the beer for $25 per bottle, that price reflects the cost of production instead of what the market will bear.

If resale can be controlled by ejection from future purchases, the lottery might work.  But if not, Stone is going to give money away to resellers and no devotees will get it for cheap. Luckily for me, Stone Levitation is in elastic supply.

 

A lot of economic theory is empirically empty. Most of what is “under the hood” in an economic model makes no difference whatsoever from the point of view of the “empirical implications.” Here is an example to illustrate what I mean.

There are two ways I could present to you the standard theory of bidding behavior. The first way, and the way we actually do it, starts with some primitive hypotheses and derives the theory from them. So I might start by specifying the rules of the auction, then state some assumptions like that the bidders have certain payoff functions, they are maximizing utility, they have some specific information, and they play an equilibrium. All of these assumptions together tell you what bids you can expect.

The second way is simpler. I just write down the bids you can expect. That is my theory. I hypothesize a certain (joint distribution of) bidding behavior. Now, this theory is incredibly boring. But from an empirical point of view; i.e. in terms of the observable predictions it makes, it is equivalent to the first version of the theory.

(You might be thinking that the first theory makes more hypotheses and these hypotheses can be tested independently of their joint implications. I have two responses. A) that’s probably not true. Utilities, information, optimization, and equilibrium are all separately vacuous assumptions. They have implications only in conjunction with each other. B) from the empirical point of view that’s only a stronger argument that the simpler theory is preferred. If we can match the data on bids, does it matter whether the underlying hypotheses are rejected?)

If the point of economic theory was to generate empirical predictions, most of economic theory would be a waste of time. But it’s not the point.

There is value in a theory that describes the route from parameters to conclusions even if those parameters could never even be measured. And that is because the users of economic theory have a source of data that is unavailable to empirical researchers, and would not be permissible anyway: personal experience and intuition.

If you are about to compete in an auction, you look around you and see your competitors, the context, and the object up for sale. This is a unique situation because every situation is unique. You have a sense that one guy is an insider, one guy is bankrolled, and one guy is his competitor. You know that all of these things matter for how you should bid but you want to know how they matter. A theory is a recipe for translating your completely subjective description of the situation into an educated hypothesis about what is going to happen.

(Drawing:  Summer Off-site from www.f1me.net)

This joke has been internetting for the past week. (Karakul kick:  Noam Nissan)

Here’s the game theorists’ version:  Three game theorists with identical preferences but asymmetric information walk into a bar.  The server asks “Does everyone want a beer?”  They respond in sequence:

  • Game Theorist #1:  “Yes!”
  • Game Theorist #2:  “Yes!”
  • Game Theorist #3  “I don’t know.”

Two radio stations compete for advertisers.  They run ads during 10 minute slots that they can locate anywhere within a given hour of air time.  They know that listeners don’t like ads and will switch to another station to avoid them.  Will their commercial times be disjoint, overlapping or will they exactly coincide?

Whatever they do, the listeners will adjust their behavior.  Disjoint advertising intervals would mean that listeners, regardless of which station they are currently tuned to, will switch as soon as the ads start and always be listening to music.  So that’s not an equilibrium.

Suppose they overlap.  Radio station B is trying to be clever by starting its ads just a minute later than A.  Those listening to radio station A switch to B when the ads start to get an extra minute of music.  But when the ads start on B, the listeners know that the music will begin sooner on radio station A.  But since you don’t know exactly when the ads will end, and in the meantime you have ads on either station, the time to switch to A is now.  That’s not an equilibrium either.

If the ad intervals exactly coincide then listeners learn there is no point in switching.  And if listeners aren’t switching then the stations can do no better than to have their ad intervals coincide.  So that’s the equilibrium.

This paper by Andrew Sweeting shows empirically that stations coordinate their advertising intervals and explores the motives.

My simple model omits NPR.  What programming runs on public radio during the ad intervals on commercial radio?  Do commercial radio stations change their behavior during NPR pledge drives?

I am attending an antitrust conference hosted by the Searle Center at Northwestern University.   In my attempt to Americanize, I am drawn to any paper involving sport.  And if British sport is thrown in for comparison, resistance is impossible.

Haddock, Jacobi and Sag offer an analysis of American NFL football stadiums versus English soccer stadiums.  Their thesis is simple: the NFL controls entry of new teams in the league and teams can move from one city to another. So, if the New Jersey government does not cough up $1 billion for the New Meadowlands, teams can threaten to move and the NFL can refuse to allocate another team to the state.  For example:

When the Houston Oilers threatened to move to Jacksonville, Florida in 1987 Harris County, Texas, responded with $67 million in improvements to the funded by property tax increases, doubling the county’s hotel tax, and underwriting bonds to be paid over the next 30 years.  Within six years the Oilers began lobbying for a new stadium with club seating. Rather than opposing the Oilers rent seeking, NFL Commissioner Paul Tagliabue warned Houston that “If the Oilers’ situation doesn’t work down there, I don’t see any circumstances in which we’re going to guarantee a team, especially when one team’s already found it unsatisfactory.” The message was clear, if Houston lost the Oilers because it refused to accede to the team’s demands, it was unlikely to receive a prompt replacement. At the end of the 1996 season the Oilers left Houston for Nashville where city officials had promised to contribute $144 million toward a new stadium.

In England, entry is easy.  If a team attempts to hold up a city, it can create its own new team.  This reduces the bargaining power of the team.

Jerry Hausman, the discussant, found much to disagree with.  Hausman claimed many British teams were simply no-hopers.  Very few teams are actually competitive. Arsenal is not one of them and hence no-one would fund a stadium for them.  In the NFL, many teams are competitive.  Hence, they can extract rents from the local community.  He thought politics was an the center of problem: Why did Massachusetts fund a new high school in Newton rather than soend money in poorer areas?  He displayed a surprising amount of knowledge about English soccer and claimed to have worked for the Chicago Bulls (I didn’t catch what he did for them).  He speaks fast so I may have missed some details.

It’s hard to measure media bias in general because bias is hard to quantify.  Movie reviews are one way forward, a cool idea in a new paper by DellaVigna and Kennedy.  Here’s the abstract:

Fueled by the need to cut costs in a competitive industry, media companies have be- come increasingly concentrated. But is this consolidation without costs for the quality of information? Concentrated media companies generate a conflict of interest: a media outlet can bias its coverage to benefit companies in the same group. We test empirically for bias by examining movie reviews by media outlets owned by News Corp.–such as the Wall Street Journal–and by Time Warner–such as Time. We find a statistically significant, if small, bias in the review score for 20th Century Fox movies in the News Corp. outlets. We detect no bias for Warner Bros. movies in the reviews of the Time Warner outlets, but find instead some evidence of bias by omission: the media in this group are more likely to review highly-rated movies by affiliated studios. Using the wealth of detail in the data, we present evidence regarding bias by individual reviewer, and also biases in the editorial assignment of review tasks. We conclude that reputation limits the extent of bias due to conflict of interest, but that nonetheless powerful biasing forces are at work due to consolidation in the media industry.

Tubeteika toss:  Josh Gans.

Al Roth starts a list of comparative advantages of the new electronic parking meters relative to old school coin-fed.

In Brookline, where I live, one can already begin to catalog some of the relative advantages and disadvantages of the old and new technologies, aside from those mentioned above, regarding credit cards in particular.

Waiting time and queues: old meters took your quarters immediately (if they were working well enough to take them at all); new meters take some time even if you are first in line, and since they serve multiple spots, you may have to wait while they take that time for the people ahead of you.

Parking at 7:45am: old meters made you start paying even if you rolled up to the curb before payment was required; new meters know that you don’t have to pay until e.g. 8am, and so can sell you parking until 8:30 without charging you for the first 15 minutes until 8.

Adding time to the meter: old meters let you add another quarter to add time, e.g. if you glanced in at the coffee shop after you had already put money in the meter and noticed that there were no vacant tables, so you would have to go across the street, and wouldn’t be back by 8:30.  New meters print a receipt for you to put on your dashboard, and don’t let you add time to the end of the time interval you have already bought.

To which I would add:  No Free Riding.  There is no more hope of rolling into a space with time still left on the meter from the last guy.

And a spinoff list of disadvantages of both systems.  Pre-payment.  The meter forces me to bear the risk associated with my own uncertain parking duration.  I pay in advance and hope I don’t pay too much or too little.  If I pay ex post I am insured against that risk and I am willing to pay a higher per-minute rate.  (What is the effect on my incentive to park for longer?  With ex-post payment I bear a constant cost per minute I stay.  With pre-payment that incremental cost is zero up until the meter expires and from there increases with the probability that the meter maid turns up.)

David Pogue has also been thinking/fuming about the Netflix price change which effectively increases prices from $10 to $16 for streaming plus one-DVD-at-a-time.   He ends with:

[W]hat makes me unhappiest is how calculated all of this feels. In July, a spokesman told me that Netflix had already taken the subscriber defection into account in its financial forecasts.
And sure enough. When I tweeted that Netflix had lost one million of its 25 million customers, @npe9 nailed it when he wrote:

“It damages their brand and images, but 24 million customers paying $16 is still better than 25 million @ $10. Increases revenue by >50%.”

 

 

This article in The New Yorker about Federer’s loss to Djokovic in the US Open Semi-final is absolutely worth a read. You don’t have to care about tennis as long as you have a personal stake in the deep question of what style of perfection really wins.

http://www.newyorker.com/online/blogs/sportingscene/2011/09/roger-federer-novak-djokovic.html

But I have a slightly different take.

All Fed-Heads knew right away when he won the second set to go up 2-0 that nevertheless was going to lose the match. The tragedy of that match, and of Roger Federer in general is not that perfection failed. He was never perfect or anything close to it. The irony is that, by comparison to Nadal and Djokovic, especially Nadal, Roger Federer is so much more like the rest of us mortals.

Nadal has pure animal fighting spirit branded onto his DNA. Yes, his tennis is wrong, but that doesn’t matter because he is the one who has the aura of invincibility, not Federer. You can count on Roger to make impeccable shots. To play like an artist. But you can count on Nadal to win.

Federer is not like a superhero who just effortlessly deploys his superpower and watches the results roll in. When you watch him long enough you start to see how tightly wound he is at every moment, mustering every ounce of concentration to keep himself in that groove. If he is a master of anything he is a master of trying.

What you learn from watching his matches the last year is just how unstable that groove is. And what makes his decline so depressing is how it reminds us that if you have to try you are not a master. He carried the banner for all of us who have nothing going for us except the will to try, and even he The Master Tryer, the man who tried so hard that he was Perfect, can’t beat those guys whose strokes are hacker strokes next to his, but who were born winners.

And that is why this particular match was really his most tragic. Match point against Djokovic. After tanking sets 3 and 4 and then pulling himself together to go up a break and serve for the match in the fifth set, we still knew he was going to lose. It was just a matter of how.

Djokovic is not Nadal. He does not win by sheer will. A lot of trying went in to his streak this year. And to Federer fans, Djokovic is something of an interloper. You look at his game and there is no real reason he should be pushing Roger out of the top 2. He is super solid. But we want our iconic battle between Mr. Made-Perfect against Mr. Passion. Djokovic doesn’t belong.

But when Federer had Djokovic match point down, Djokovic did something that made a total mockery of everything about Federer’s game. He took a blind swing on a service return and hit it for a stinging winner. He became Nadal for a single shot. You are not supposed to be able to become Nadal. That is not something you can try to do. And indeed there was no trying involved whatsoever. He just did it.

Federer could never, ever do that.

  1. Second-sourcing.  You are a monopolist selling a durable good that requires periodic upgrades.  Think enterprise software.  The monopoly price extracts the lifetime user-value of the product.  To maximize the lifetime user-value of the product you should set the price for future upgrades at cost.  The  problem is that your users don’t trust you.  They foresee that at the time of the upgrade, when the original purchase price of the software is a sunk cost you are not going to set upgrade prices at cost.  Indeed you will again try to extract the (remaining) lifetime user-value of the product with the upgrade price.   You need a device to commit yourself not to try to exploit your customers in the future so that you they will submit to your exploitation today.  By spinning off a division of your company you can create a competitor for upgrades.  This competition guarantees that you cannot act like a monopolist for upgrades and the upgrade price will be competitively priced at cost.
  2. Pre-emption.  You are currently a monopolist in an industry that can accommodate at most two firms.  It is inevitable that there will be an entrant eventually and your monopoly profits will turn into duopolist profits.  Since you are going to have a competitor anyway why not create your own competitor?  You could sell half of your company to the highest bidder.  He will be willing to pay up to the duopolist profits and then he will compete with you driving the profits of your remaining half down to the duopolist profits.  In total your profits are equal to the sum of the two duopolist’s profits rather than just a single duopolist profit.  That’s necessarily less than the monopoly profit but that wasn’t going to last anyway.

This issue is perplexing many of us who teach in business schools – are we going to have to change our classes as one of the firms in many of our key examples goes bankrupt?

We are not sure we have a good answer to our question so we will satisfy ourselves with a brain dump.

First, it may very well be true that, as CEO Reed Hastings is saying, Netflix does not want to end up like Borders or AOL in the garbage can of history when the next new technology comes along.  After all, Blockbuster has never really recovered from missteps when Netflix DVDs arrived on the scene.

Therefore, Netflix wants to be ahead of the curve when DVD technology dies and everyone watches streaming movies.   Here is one way to do this:  keep the total price of 1 DVD at a time +streaming at $10 but price streaming alone at $6 and 1 DVD alone at $8.  What they did instead, to maintain margins we assume, is raise prices by 60% so I DVD at a time + streaming is now $16.   Of course this going to cause some serious fall in demand and also create a media frenzy.

There is a broader point: we gave one example of how Netflix might shuffle prices to create switching but we do not have the internal data on revenue and costs so the optimal pricing might be different.  But whatever it is, the optimal pricing requires the DVD and streaming prices to be coordinated. If you split these two services into different (competing?) companies, you might create a price war and not only undermines your whole strategy but destroys your profits….

Even if completely separating the two businesses is the only way Netflix feels it can incentivize its streaming business to move ahead properly, there is absolutely no reason the company should expect consumers to care about its internal strategy issues – the strange angle taken by Hastings’ blog postings and emails to customers. It seems to us that it is the large price hike, far more than any other aspect, which has upset customers.

As a final comment, even if Netflix gets everything right operationally in its streaming business, it is hard to see how they plan to maintain margins and demand given that their suppliers (the content producers and owners) have a great deal of bargaining power and have every incentive to treat Netflix as only one outlet among many competing ones for their product. Other companies in the content delivery business, such as cable & satellite operators, face similar issues, but have the advantage of higher barriers to entry in terms of local franchise rights and physical infrastructure that gives them greater scope to raise prices……Our guess is that we will have more posts as more information arrives.

Sandeep Baliga and Peter Klibanoff

Ethan Iverson has the rundown.  Some highlights:

6) My Old Man (Joni Mitchell): “Blue”, a masterpiece, turned me upside-down when it came out in 1971. Her lyrics, way with harmony, her chord progressions and the uniqueness of her voice are unsurpassed. She is one of the great setters of text of all time. I had a hard time trying to figure out these chords as a high-schooler!

11) If I Were A Bell (Miles Davis): This is the record (“Live at the Blackhawk”) that made me want to play jazz as my life’s work. Wynton Kelly’s comping under Miles’ and Hank Mobley’s solos, his energy and time feel and the live-ness of the recording are still great to listen to today – so direct and swinging.

12) 1 X Love (Charles Mingus): This is the record that made me want to be a jazz composer. It sounds like Ellington on acid.

15) Old Devil Moon (Ahmad Jamal): This trio (with Israel Crosby and Vernel Fournier) is one of the two greatest of all time (the other being Bill Evans, Scott LaFaro and Paul Motian). Ahmad had the most beautiful sound and touch of any jazz pianist – and his sense of drama and arrangement is unsurpassed.

19) Serpentine (Earth, Wind and Fire): My favorite soul/R&B band had the most killing grooves – and many of their songs carried social messages as well. Played by real musicians, not machines.

27) Nancarrow: Study for Player Piano #1: He became frustrated that live musicians couldn’t play the complex rhythms he imagined, so he composed for the player piano. His off-kilter – yet tonal – style really appeals to me. I wish I could play like this!

 

If you think about pain as an incentive mechanism to stop you from hurting yourself there are some properties that would follow from that.

When I was pierced by a stingray, the pain was outrageous. The puncture went deep into my foot and that of course hurts but the real pain came from the venom-laden sheath that is left behind when the barb is removed. Funny thing about the venom is that it is protein based and it can be neutralized by denaturing the protein, essentially changing its structure by “cooking” it as you would a raw egg.

How do you cook the venom when it is inside your foot? You don’t pee on it unless you are making a joke on a sitcom (and that’s a jellyfish anyway.) What you do is plunge your foot is scalding hot water raising the internal temperature enough to denature the venom inside. Here’s what happens when you do that. Immediately you feel dramatic relief from the pain. But not long after that you begin to notice that your foot is submerged in scalding hot water and that is bloody painful.

So you take it out. Then you feel the nerve-numbing pain from the venom return to the fore. Back in. Relief, burning hot water, back out. Etc. Over and over again until you have cooked all the venom and you are done. In all about 4 hours of soaking.

A good incentive scheme is reference-dependent. There’s no absolute zero. Zero is whatever baseline you are currently at and rewards/penalties incentivize improvement relative to the baseline. When the venom was the most dangerous thing, the scalding hot water was painless. Once the danger from the venom was reduced, the hot water became the focus of pain. And back and forth.

Second Observation.  After three weeks of surfing (minus a couple of days robbed by my stingray friend) I came away with a sore shoulder.  Rotator cuff injuries are common among surfers, especially over the hill surfers who don’t exercise enough the other 11 months of the year.  The interesting thing about a rotator cuff injury is that the pain is felt in the upper shoulder, not at the site of the injury which is more in the area of the shoulder blade.  It’s referred pain.

In a moral hazard framework the principal decides which signals to use to trigger rewards and penalties.  Direct signals of success or failure are not necessarily the optimal ones to use because success and failure can happen by accident too.  The optimal signal is the one that is most informative that the agent took the appropriate effort.  Referred pain must be based on a similar principle.  Rotator cuff injuries occur because of poor alignment in the shoulder resulting in an inefficient mix of muscles doing the work.  Even though its the rotator cuff that is injured, the use of the upper shoulder is a strong signal that you are going to worsen the injury.  It may be optimal to penalize that directly rather than associate the pain with the underlying injury.

(Drawing:  Scale Up Machine Fail, from www.f1me.net.)

Many homeowners are taking advantage of low interest rates to refinance their mortgage.  One group is conspicuously absent: low income homeowners with a history of shaky credit.  Refinancing would help them and the economy at large but the costs of refinancing plus the reluctance of lenders to lend has compromised the availability of credit to this group.  What is the solution?  There are three proposals that are in the public domain.

1. Inflation: This has been proposed by Ken Rogoff.  He would use inflation to reduce the value of debt and get borrowing moving again.  The difficulty is that the FED has carefully nurtured a reputation as an inflation fighter for the last couple of decades.  Once it loses that reputation can it recover in time for an inflationary period?  This issue makes he Rogoff solution unpopular with many central bankers.

2. Loan Modification: Posner and Zingales propose a loan modification program.  The details are complex but require some Congressional input to change bankruptcy law or pass new legislation.  This is politically impossible in the current political climate so whatever the merits of the plan, it does not seem feasible.

3. Refinance:    Boyce, Hubbard and Mayer propose to ease lending rules and offer loans at 4% to eligible homeowners whose loans are guaranteed by Fannie and Freddie.   How much if this plan is implementable by the President without Congressional approval?  That is the question.  On first blush, this plan seems the most politically feasible to me.

Pennsylvania is considering a change in how it allocates electoral votes in Presidential elections.  Currently, like nearly all other states, Pennsylvania’s electoral votes are up for grabs in a winner-take-all contest.  All 20 of its votes go to the candidate who receives the largest share of the popular vote in the state.  The state’s Republican party, currently in control of the legislature and the governor’s office, is considering a switch to a system in which each of the 18 congressional districts in the state would award a vote to the winner in that district.  (I believe the remaining two would be decided by state-wide popular vote.)

There are a number of ways to think about the incentives to switch between these two systems.  One way is to ask how it will effect the overall flow of campaign dollars/favors to the state.  On this score, in a state like Pennsylvania, the proportional-vote system is clearly better.

Only one Republican Presidential candidate has carried the state in the last 25 years.  The cost of increasing Republican vote share by a few percentage points would be wasted in a state where Democrats begin with such a large advantage. But in a proportional system such an investment can pay off.  The Republican party will now spend to compete for the marginal vote and Democrats will likely spend to defend it.

Of course the real question is how a state with a strong Democratic leaning could be expected to vote to switch to a system that will not only channel money to Republican districts but also help the Republican Presidential candidates.

Note that the opposite ranking holds in a more competitive state.  If the two parties are on equal terms in a state, then a winner-take-all system gives a huge reward to a party who invests enough to gain a 1% advantage in vote-share.  By contrast a proportional system offers at most a single vote in return for that same investment.  Such a state maximizes its electoral spoils by sticking with winner-take-all.  And with no majority party these economic incentives should dominate.

Taking stock of both of these two cases, it is not surprising that almost all states use a winner-take-all system.  Indeed, Nebraska, one of the few states with a proportional system may soon switch to winner-take-all.