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Sensitivity analysis considers

a. how sensitive the decision maker is to risk.
b. changes in the number of states of nature.
c. changes in the values of the payoffs.
d. changes in the available alternatives.

User Shawn Baek
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1 Answer

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Final answer:

Sensitivity analysis pertains to the changes in the values of the payoffs in decision-making processes, and is typically used to forecast the effects of variations in economic decisions. It heavily relies on marginal analysis, examining the benefits and costs of marginal changes, and incorporates the concept of diminishing marginal utility. The correct answer is option c.

Step-by-step explanation:

Sensitivity analysis in decision-making processes focuses on evaluating how different variables impact the outcomes of a decision. It involves looking at changes in the values of the payoffs, rather than the decision maker's risk tolerance, the number of states of nature, or the alternatives available. This type of analysis is fundamental in fields like economics, where it's essential to understand the impact of varying levels of inputs on the outputs of a process or decision. By performing a sensitivity analysis, decision-makers can anticipate the effects of changes and better prepare for different scenarios, such as changes in costs, benefits, or resources available.

One aspect of sensitivity analysis involves examining marginal changes, which aligns with the concept of marginal analysis. This entails looking at the incremental changes in costs or benefits associated with a decision. Understanding the law of diminishing marginal utility is also important, as it states that the additional satisfaction or utility gained from consuming an additional unit of a good decreases as more of that good is consumed. Consequently, decision-makers must consider how the marginal benefits compare to the marginal costs when making decisions.

Finally, sensitivity analysis enables decision-makers to put a value on non-quantifiable aspects of decisions, ensuring a comprehensive evaluation. It's a tool that helps with optimal decision-making, taking into account possible variations in the decision environment.

User Aleksejs Popovs
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