I recently read Sendhil Mullainathan's paper, "Psychology and Development Economics," for a class I'm taking with him. It's a fantastic read and very accessible -- I highly recommend it.  One section, however, is so thought provoking that I felt it worth replicating in full on my blog.  It's about the psychology of fairness and its role in corrupt behavior.  I have become extremely interested fairness in human behavior, and its evolutionary roots.  I think it has a lot to teach us about development.  

This passage a long one but trust me, it's worth it.  Read on.

 
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In many important development contexts, self-interested behavior is very deleterious. Bureaucrats in many countries are corrupt. They enforce regulations sporadically or take bribes. Another stark example is teacher absenteeism. Numerous studies have found that teacher absenteeism is one of the primary problems of education in developing countries.  Teachers simply do not show up to school, and as a result, little education can take place.  This blatantly selfish behavior stands in contrast to some evidence on social preferences that individuals may value the utility of others. I will review this literature and describe how social preferences may be contributing to the problem and may serve as part of the solution. 

A very simple game called the ultimatum game has become an excellent tool for studying social preferences (Guth, Schmittberger and Schwarze 1982, Thaler 1988).  In this game, one player (call him the Proposer) makes the first move and offers a split of a certain amount, say $10.  The second player (Responder) decides whether to accept or reject this split. If it is accepted, P and R get the proposed split. If rejected, then both get zero.  This game has been run in many, many countries and for stakes that range from a few dollars in the US to a few months of income in many countries. Yet the pattern of findings is relatively constant.  First, responders often reject unfair offers (i.e. away from 50-50 splits).  Second, proposers often make very fair offers, close to 50-50 or 60- 40.  Moreover, proposers fair offers are not just driven by fear of rejection. They tend to make offers larger than what a simple (risk-neutral) fear of rejection implies. The ultimatum game illustrates two facts about interpersonal preferences: (i) people care about others and are willing to give up resources to help others and (ii) people react negatively to perceived unfair behavior and are willing to give up resources to punish it.  The second fact illustrates part of the “dark side” of interpersonal preferences. In simple altruistic models, interpersonal preferences are only a good thing: having one person care in a positive way about another only makes it easier to deal with externalities and so on. The Responders possible punishment behavior shows, however, the way in which interpersonal preferences could potentially cause inefficiencies and conflicts.  

This possibility is clearest in a classic experiment by Messick and Sentis (1979).  They ask subjects to imagine they have completed a job with a partner. They are asked to decide what fair pay for their work is.  They divide the subjects into two groups however. One group is told to imagine that they had worked 7 hours on the task while the partner had worked 10. The other group is told to imagine that they had worked 10 hours while the partner had worked 7. Both groups were told that the person who had worked 7 hours had been paid $25 and were asked what the 10 hour person should be paid.  Those who were told that they had worked 7 hours (and paid $25) tended to feel that the 10-hour subject should be paid $30.29.  In contrast, those who were told that they had worked 10 hours felt they should be paid $35.24.  The source of the bias can be seen in the bimodality of the distribution of perceived fair wages. One mode was at equal pay($25 for both) while the other mode was at equal hourly wage (so the 10 hour worker gets paid approximately $35.70).  Interestingly, the difference between the two treatments was mainly in the proportion at each mode.  Those who had worked 7 hours showed more subjects at the equal pay level mode while those who had been told theyd worked 10 hours showed more subjects at the equal hourly pay mode.  In other words, both groups recognized two compelling norms: equal pay for equal work and equal pay for equal output.  Yet their roles determined (in part) which norm they picked.  Such conflicts could easily arise even if theres disagreement about measuring input levels (which often are not fully observed). More broadly, when there is not universal agreement about what is fair division, individuals trying to act fair may produce even more conflict than individuals acting in a self-interested manner.

Let us return to the case of teacher absenteeism. The PROBE report surveyed teachers extensively in many areas of India and noted high absenteeism levels. Its in-depth interviews are illuminating about their attitudes and highlights how teachers often feel unmotivated. Some of this discouragement can be viewed as a perceived failure of reciprocity. As noted earlier, individuals strongly adhere to the norm of reciprocity.  Failures of reciprocity (or perceived failures) can result in punitive or self-interested behavior in response.  Teachers may feel a strong social preference early on and be motivated to teach and give much more than they need to.  After all, from a pure self- interest motive, they know they can get away with very little teaching.  Yet they may be initially motivated to do more, to come to school, to struggle with tougher students and so on.  They may view these contributions as a "gift" in large part due to the initial framing of the job (as a plum job, with good salaries, secure employment and plenty of other time for other activities).  Thus, a young teacher may think, I am giving a lot to the school. As with any giving, however, the teacher may expect strong reciprocity and see (perhaps in a self-interested way) many outcomes as a lack of reciprocity. For example, the Probe report notes that many schools have terrible infrastructure; accordingly, teachers may feel that the government is not reciprocating their "gifts". This may be especially exaggerated by the transfer system in India, which moves teachers to various areas, disrupting the lives of teachers. Thus both the benign neglect of schooling and the active transfers could easily drive teachers to feel that the government does not reciprocate their efforts. They may also come to feel similarly vis a vis parents, who they may feel do not care about their children's education. 

Even an initially motivated teacher may very quickly feel justified in their growing apathy.  They gave it their best and think that their efforts were not reciprocated. Are these inferences justified?  Perhaps not. As in the Messick and Sentis study teachers may very well be making such inferences in a self-interested way. The failure of the context may very well be in it allowing teachers to make such biased attributions of fairness. Alternatively, teachers may very well be justified in these attributions. We simply cannot tell. 

At a deeper level, these studies of fairness suggest that the problem of corruption may have interesting social preference wrinkles.  People may be more willing to avoid taxes if they feel they are not "fair".  This judgment of unfairness could be the result of getting very few government services or having to bribe corrupt middleman in order to procure government services. Economic models of corruption, by assuming blatant self-interest, ignore the tension corruption generates. If most people, as the evidence suggests, have strong social preferences, then corrupt acts will require self-justification.  This resembles anecdotal evidence on corruption experiences. It is very rare that an official simply asks for a bribe. The request is often couched with an explanation for the reason for the bribe. Even though the bribe is clearly a violation of the law, there is usually a story that serves to justify it in the context of the law.  For example, a customs officer may point to improper packaging as a reason for an extra payment. These kinds of insights may one day help to better understand the nature of corruption and anti-corruption policies.