Archive for category News and Current Events

The Future of Microfinance

For my Market Design class, I’m analyzing a hypothetical scale-up of the Bandhan Ultra Poor graduation program studied by Course 14 Professors Banerjee and Duflo. My project will also acknowledge some of the concerns raised by this harrowing report on the future of microfinance in India from the NYT (via my Market Design professor Al Roth):

http://marketdesigner.blogspot.com/2010/11/microfinancial-crisis.html

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utilitarianism, political justice, and government cheese

I’m a sucker for good economics, but I’ll admit that there are places where it doesn’t belong. One of these places is often in the mouths of political candidates during election season–for many reasons beyond the singular point of this piece. But the point that I’d like to harp on is the strict divide between economics and political debate– namely, that seven times out of ten it shouldn’t be part of yours just yet.

Economics is the rational study of efficiency: how best to maximize utility, catch a derivative and set it to zero. Government is a study of sometimes irrational fairness. The two work closely together and are necessarily intertwined in practice, but also necessarily unequal in discourse and theory. They are not on par, cannot be used interchangeably in the pursuit of good policy, and do not deserve the same pedestal in a democratic society such as ours for given reasons.

The basis of our government and our culture as a whole favors being fair over being efficient– the spirit of democracy feeds on the idea that there is no number that outweighs justice. It brings to mind a number of things: utilitarianism for one, which with a special calculus quantifies utility in order to reach a balanced equation for the kind of problem seemingly found only in Omelas,. How many people’s marginal happiness is worth a single child’s undeserved torment? Economics claims that this can be a fair amount. Justice says zero, uncompromisingly.

In a rational society we maximize happiness and profit: leaving poor children without textbooks is a justified solution so long as the detriment of their situation is outweighed by the utility that society receives from taxpayers keeping their dollar. In a just society we maximize equality of opportunity– when that equality is breached, when one child grows up with an unequal capability to engage his or her society as an individual, we know that we have failed on a major level. The fact that America is allowed to forget this mantra in favor of economic buzzwords during political open season is intolerably ignoring the foundation of our society.

This revolves back around to debate and good policy. Because our country favors fairness over economics, good debaters can only argue economics once they’ve justified that their policy is fair. And conversely, once you’ve justified that something is fair it’s your duty to justify that it is also maximally economically efficient, given the constraints. But substituting one for the other is building houses of long elaborate assertions on top of a foundation made of sand– and it drives me crazy as an observer.

Which brings me lastly to government cheese– a colloquial term for government handouts provided to the extremely poor, motivated by a program during the Reagan administration that actually, literally, distributed surplus cheese to those on welfare.
I like to keep my opinions moderate and blunt. Furthermore, I don’t believe there’s a binary opinion out there that could reasonably cover as broad an issue as austerity in government spending. But I do have one binary option to present to anyone considering political office: before you consider abusing economics, please either justify first that your platform preserves the foundations of what we consider justice or get off the podium.

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Economists Saving Lives (and doing other awesome stuff)

This term I am cross-registering at Harvard to take Market Design, taught by Professors Alvin Roth and Peter Coles. The class is offered jointly by the Harvard Economics Department and the Harvard Business School. I have interests in computer science and economics, and I actually first heard about market/mechanism design from the computer science literature. However, the research done in these two fields are quite different. Generally, economists are concerned about efficiency, equilibrium stability, and incentives, while computer scientists try to optimize the algorithms behind the markets.

Before I list off too many vague terms, here’s an example of market design at work:  kidney matching. Every year, more and more Americans are placed on the waitlist for transplant kidneys to replace their own failing or diseased kidneys. Thousands of people either die or become too sick to receive a transplant while waiting for a matching kidney. It is important to note is that people have two kidneys, but can lead normal lives with just one. A lot of people on the waitlist have loving relatives or friends who would donate one of their kidneys, but they unfortunately do not have the same blood types and other characteristics necessary for transplant.

Kidney exchange first came about when two relatives met at a dialysis center waiting room. They realized that the relative of one patient is a match for the other patient, and vice versa — they could swap kidney donations, and both families would be better off! Professor Roth has worked to establish databases of recipient and donor pairs, and they run a stable matching algorithm on the database every two weeks. The frequency at which we run the matching can change the number of total matches we get over time, since new patients are being added to the database and current patients can be removed for various reasons. Two weeks has just worked out well in practice.

[I actually had a problem on my 6.046 take-home exam last fall motivated by kidney matching. We were supposed to find the fastest algorithm possible to match people, given a set of donor parameters and recipient requirements -- computer science and economics working together :-) ]

Theoretically, it is possible to have longer exchange cycles than just two. (Let A1, B1 be a recipient-donor pair, A2, B2 be a second donor pair, etc, for a total of n pairs. Then we can imagine a situation where A1 can donate to B2, A2 can donate to B3, A3 can donate to B4, etc, until we loop back and An donates to Bn.) In practice — and this is also where economic incentives come in — we need to have all the operations simultaneously to make sure that all the donations actually happen. For a 2-way swap, that’s 4 simultaneous operations, requiring 4 surgical teams, 4 operating rooms, the works. Some longer chains and larger swaps have happened, but they are rare.

One of our MIT professors, Parag Pathak, was a graduate student at Harvard and has worked with Al Roth and co-authors to design allocation mechanisms for public school lotteries in New York, Boston, and San Francisco. The goal is to design the system for which it is a dominant strategy for people to submit their true preferences for schools. This removes the confusion from an important decision like choosing schools and makes the school-matching process stable and efficient.

The applications that we have discussed include job market matching, job markets for couples, and dating websites. We will have a guest speaker this week to present his findings in generalized matching and another guest speaker to talk about the shortage of IP addresses. Did you know that IP addresses were in shortage? Luckily, MIT got a lot of IP addresses way back when the internet first came about. I would just be listing off a bunch of terms if I wanted to talk about the theoretical topics in the course, so visit the course site if you’re interested (link below).

For my final project, I’m exploring the market for vacation house swaps. I just came across a news article about the Iraqi government auctions for their gas fields, though, so I might switch topics. Any suggestions for topics I should consider for my final project in market design would be appreciated.

If you’re interested in learning more about market design, here are some useful links:

Market Design blog by Al Roth and Peter Coles: http://marketdesigner.blogspot.com/

2056a course site: http://isites.harvard.edu/icb/icb.do?keyword=k72549

Al Roth’s game theory, experimental economics, and market design page: http://kuznets.fas.harvard.edu/~aroth/alroth.html

The Market Design class that I am taking (2056a in Harvard code) is a graduate course, with game theory as a prerequisite. If you are interested in taking this class, you should take game theory (e.g. 14.12) as soon as possible because 2056a and 14.12 are only offered in the fall (and also because game theory is awesome!).

I will likely blog next about Development Economics and 14.771 next, stay tuned!

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Japan’s Premium Pricing

Ever wonder why in New York, there are lines of Japanese tourists at Saks and Fifth Avenue? Or why wherever there are designer outlets, there are small middle-aged Asian women teeter-tottering from the weight of their designer haul?

The answer? Japan’s premium pricing.

When foreign goods enter Japan’s market, they become, by default, a ‘premium good’. This is the consequence of Japan’s government policy where protection tariffs increase the cost of foreign goods and informal cartels keep the pricing high. A $298 designer bag in the U.S. has a market price of $711 in Japan. However, with the advent of online auction sites and mid-street level brands like Uniqlo (which has their production site in China), Japanese consumers are becoming more and more disillusioned and dissatisfied with the high costs they price for designer goods. What will be interesting to see is if government policy will actually change or if Japanese consumers will continue to embark on ‘shopping trips’ to the U.S. and Europe for their fill of premium goods at Western market value.

Reference: Business of Fashion, “Japan’s Premium Pricing”

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Economics of Drinking

Looking for some interesting economics reading? I found this paper today on the ‘economics of drinking.’ http://repec.rwi-essen.de/files/REP_09_158.pdf

The title is a bit deceptive, for the ideas in that paper can be applied to any drug. In essence, alcohol acts as a ‘social lubricant’ that facilitates easier communication between players in a game (or some interaction.) This therefore allows for the participants in the game/interaction to understand the opponent, and thus facilitate full information.

The theory is a bit sophisticated, but those who have taken 14.04, or other advanced game theory classes, could work through it; those in 14.01 could trudge through it with some effort or skim the methodology.

Cheers!

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The Problem of Sample Selection

When evaluating a policy program, researchers face a huge problem: sample selection. Consider the following example: suppose we offered kids summer classes to practice and improve their math and reading skills. After the program has ended, we compare the test scores of the kids who took the summer classes to the test scores of kids who didn’t. We find that the program kids’ test scores are significantly higher than the other kids’ test scores. Does this mean our program succeeded in raising test scores?

Not necessarily. We can imagine that the academically strongest, most enthusiastic kids would jump at the opportunity to join this summer program while the less-motivated kids would prefer to stay at home. That is, the program kids are mostly comprised of kids from the “smarter” group. In the absence of the program, the program kids would still have outperformed the other kids. Thus a simple comparison of test scores does not allow us to separate the innate ability of the program kids from the benefit of the summer program, and so we can’t tell how beneficial the program was.

If you take 14.74, examples and arguments like these will become second nature to you. You’ll explore several techniques to get around sample selection, including randomized control trials (used extensively by JPAL, where I currently UROP), difference-in-differences (particularly applicable to the example above), and ATE/TOT/LATE/ITT (average treatment effect, treatment on the treated, local treatment on the treated, and intention to treat, of which ATE is the topic of my 14.36 paper).

Feel free to email me (csperez@mit.edu) if you want to discuss sample selection or the econometrics used to get around it.

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fallacies of experimental economics

In Professor Pathak’s 14.04 class today, we touched upon the fallacies of experimental economics. When economists take surveys on a randomly selected audience, they often ignore the caveat that people behave differently when scruitinized/ when they know that they are experimented on. Even when they know that their submissions are anonymous, they usually feel more obligated towards making a decision that seems ‘right’.

Professor Pathak called up two students. One was deemed a dictator and given $10. The other was deemed the commandee. The dictator was allowed to give the commandee a portion of the money and could keep the rest. The chosen student decided to keep all $10, hence, demonstrating the ‘rational’ mindset of undergrad economic students and defying the usual behavior of the tested subjects.

Studies show that the average amount of money that the dictator normally gives is $2, partly because of unconscious social pressures and the desire to do things the ‘right’ way. There are three main peaks and they are at $5, $2, and $0. Those ones who do not give away any money are the rationalists (hence, in most of these experiments, undergraduate economics students were excluded). The ones who gave the other $5 did what they thought ‘fair’ and the ones who gave $2 did so out of obligation and social niceties.

In our class example however, the student represented the minority unaffected by caveats that calls the tactics of experimental economics into question. Think about it this way, if you knew you were in an experiment and you were asked to handle the $10- with the eyes of forty people upon you- what would you do?

Come to the lecture of guest speaker Ernst Fehr if you are interested in the reasoning behind these strategies. Professor Fehr will be giving a talk on “Social Preferences- A Foundation of Cooperation, Competition, and Incentives” on Tuesday, October 13, 2009 at 4 pm in Room E51-325!

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