Be optimistic or be cautious? Affective forecasting bias in allocation decisions and its effect

Area of Science:

• Psychology
• Behavioral Economics

Background:

• Affective forecasting, or predicting future emotions, influences behavior and well-being.
• Emotional reactions to events can differ from expectations, impacting decision-making.

Purpose of the Study:

• To investigate the accuracy of affective forecasting in resource allocation decisions.
• To examine how affective forecasting accuracy predicts future allocation choices.

Main Methods:

• Two experimental studies were conducted using the ultimatum game.
• Study 1 (N=84) assessed affective forecasting accuracy in allocation decisions.
• Study 2 (N=192) examined the impact of affective forecasting bias on subsequent allocation decisions.

Main Results:

• Study 1 revealed an affective forecasting bias, with participants overestimating emotional reactions to allocation events.
• Study 2 demonstrated that affective forecasting bias led to less generous decisions after positive events and more generous decisions after negative events.

Conclusions:

• Affective forecasting bias influences resource allocation decisions.
• The discrepancy between anticipated and experienced emotions provides valuable information for decision-making.
• Adjusting emotional forecasts—being cautious with positive and optimistic with negative outcomes—can enhance well-being.