- This (re)post contains an excellent summary of what two Nobel laureates say about the best way to align interests of owners and employees. It contains a link to a more detailed summary in MRUniversity that is also excellent. The Nobel laureates are Oliver Hart and Bengt Holmstrom. Here are the basic elements.
- The premise is that supervisors want to hire employees who work hard and reward them for doing so.
- Output of an employee depends on how hard the employee works and luck. For example, a salesperson may have a great year when she works hard or when she is lazy and lucky. She can have a bad year even when she works hard because she is unlucky.
- Supervisors can observe signals of how hard the employee works. A signal contains information and noise. For example, output may be a signal. When output is a signal the supervisor knows that, on average, salespeople with high output work hard. The supervisor also knows that an individual salesperson may be lazy and have high output because she is lucky.
- The best compensation scheme uses all of the signals available to the supervisor to determine the reward to a worker.
- The best compensation scheme places more weight on the signals that have the least noise. As noise decreases, the signal becomes more reliable. For example, suppose that output depends only on how hard someone works and that luck plays no role. In this case, the supervisor should measure output and use it and it alone to determine the reward.
- The best compensation scheme compensates risk averse employees with a higher base salary.
- The best compensation scheme uses relative performance metrics ("tournaments", rankings) when employees have similar abilities.
- The best compensation scheme uses absolute performance metrics when employees do not have similar abilities.
The post critiques compensation schemes that reward CEOs when the firm's stock does well because much variation is noise. Changes in the stock market affect the price of all stocks. Therefore, rewarding the CEO for appreciation often is a reward for being lucky, that is, being the CEO during a bull market.
A better signal is the difference in return on the stock market between the firm and its competitors. This difference is more closely tied to what the CEO does and less affected by noise created by bulls and bears. In other words, a tournament may be best for CEOs.
Here is a key takeaway. When designing a compensation scheme, think about what you want to reward and what you can measure that is a signal. Identify the strongest, least noisy signal and put more weight on it in the compensation scheme. Daryl Morey spend years refining how to measure expected productivity of basketball players. He discovered that points per minute is a better signal than points per game and that points per possession is even better. Even then, noise beset him. He passed on drafting one player because a photo of the player without a shirt revealed man boobs and another player whose statistics were low because the player hated his college coach.
Here is my final thought. Much of the analysis applies to measuring qualities of employees to hire. Think about the qualities you seek in the applicant and what you can measure that is a signal. Identify the strongest, least noisy signal and put more weight on it in the selection process.
Here is my final thought. Much of the analysis applies to measuring qualities of employees to hire. Think about the qualities you seek in the applicant and what you can measure that is a signal. Identify the strongest, least noisy signal and put more weight on it in the selection process.