Q.Explain the risk-bearing theory (Hawley) and the uncertainty-bearing theory (Knight) of profit. How did Knight distinguish risk from uncertainty?

Hawley and Knight both connect profit to the hazards of business, but Knight drew a sharper distinction than Hawley did.

Hawley argued that every business venture involves risks that someone must bear in exchange for possible profit. Knight sharpened this by separating measurable, insurable "risk" (which earns no special reward once insured) from true, non-measurable "uncertainty," arguing that only uncertainty-bearing genuinely explains profit. …

F.B. Hawley's risk-bearing theory holds that profit is the reward earned by the entrepreneur for bearing the risks inherent in business. Every business venture faces the possibility that a new product may not sell, that market demand may fall, or that costs may rise unexpectedly, and someone must bear these hazards as a condition of undertaking production at all. Hawley argued that this risk-bearing function belongs to the entrepreneur, and that profit is simply the compensation earned for accepting these risks — with riskier ventures expected, on average, to promise higher potential profit as compensation.

Frank Knight's uncertainty-bearing theory refined Hawley's idea by drawing a precise and influential distinction between risk and uncertainty, terms Knight argued are often wrongly used interchangeably:

• Risk refers to situations where the probability of different outcomes can be statistically estimated in advance, based on known frequencies from past experience (for example, the probability of fire damage to a factory, estimated from historical fire-loss data across many similar factories). Because such risks are measurable, they can be insured against — a firm simply pays an insurance premium, and once insured, bearing this kind of risk no longer justifies any special reward to the entrepreneur, since the insurance company has effectively absorbed it for a known price.
• Uncertainty, by contrast, refers to genuinely unique, one-off situations where the probability of different outcomes cannot be calculated in advance at all — there is no comparable past experience to draw frequencies from. Whether a brand-new, never-before-tried product will succeed commercially is a classic example: there is no meaningful statistical base from which to compute the probability of success, so this hazard cannot be pooled or insured away. …

The most common mistake is treating Hawley's and Knight's theories as saying essentially the same thing; the key point students often miss is Knight's specific distinction that insurable risk, once insured, ceases to justify any pro …