Shadow pricing is an analytical tool used primarily in business, economics and finance that estimates the price of something that is not usually priced in the market. It is used to assess the costs and benefits of a project, such as an intangible asset or an environmental impact, by assigning a shadow price to the item being measured. Shadow pricing is inexact, however, as it relies on subjective assumptions and is lacking in reliable data. It is used when the market fails to provide accurate pricing information, and when it is too difficult or costly to secure reliable financial data.

In cost-benefit analysis, shadow pricing is used to value intangible assets, such as intellectual property, brand recognition, and customer loyalty. By assigning a numerical value to intangible assets, the benefits of a project can be accurately estimated and compared to the costs. In addition, shadow pricing can be applied to money market shares and externalities, such as the environmental impacts of a project. It can also be used to determine the true price of public infrastructure projects.

Shadow pricing can be subject to wide disagreement, however, as it relies heavily on assumptions. The analyst must consider the risk and profitability of the project, the scope and complexity of the project, and the costs involved. An accurate shadow price requires more than subjective judgement - it requires an understanding of the market and its pricing behavior, as well as an evaluation of political and economic factors that could affect the project.

In addition, as the data used to calculate a shadow price is almost always subjective and sparse, it is difficult to put great value it. Just like market prices, shadows prices change frequently, making them unreliable over the long term. As a result, many businesses and economists prefer to use market prices whenever possible and use shadow prices as a last resort.

Overall, shadow pricing is an analytical tool that can help businesses and economists estimate the cost and benefits of projects, such as intangibles and externalities. However, it is unreliable over the long term, as it relies heavily on subjective assumptions and lacks reliable data. As such, it should be used judiciously and only when market prices can not be accessed.