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Introducing conjoint analysis method into delayed lotteries studies: its validity and time stability are higher than
Michał Białek1, Łukasz Markiewicz1, Przemysław Sawicki1
1Economic Psychology Department, Centre for Economic Psychology and Decision Sciences, Kozminski University Warsaw, Poland.
Frontiers in Psychology
|February 13, 2015
Summary
This study introduces conjoint analysis for evaluating delayed lotteries, finding it more predictive and stable than traditional adjusting methods for understanding decision-making under risk.
Area of Science:
- Behavioral Economics
- Decision Science
- Psychology
Background:
- Delayed lotteries, involving waiting for risky outcomes, are prevalent in daily life.
- Existing research often isolates time and probability discounting, using suboptimal methods like adjusting.
- Current methodologies for assessing discounting have limitations in validity and temporal stability.
Purpose of the Study:
- To introduce conjoint analysis as a novel method for studying delayed lotteries.
- To compare the efficacy of conjoint analysis against the adjusting method for estimating discounting parameters.
- To assess the predictive value and time stability of conjoint analysis in analyzing individual preferences for delayed lotteries.
Main Methods:
- Conjoint analysis was developed and applied to assess preferences in delayed lotteries.
- Two studies were conducted to compare conjoint analysis with the adjusting method.
- Participants' discounting strength parameters were estimated using both methodologies.
Main Results:
- Conjoint analysis demonstrated higher predictive value for individual discounting strength compared to adjusting (Study 1 & 2).
- Discounting parameters estimated via conjoint analysis exhibited greater stability over time (Study 2).
- The findings suggest conjoint analysis is a more robust method for analyzing delayed lotteries.
Conclusions:
- Conjoint analysis offers a more reliable and stable approach for estimating discounting parameters in delayed lotteries.
- Future research on delayed lotteries should consider cross-validation with both conjoint analysis and adjusting.
- This study highlights the potential of conjoint analysis for advancing the understanding of risky decision-making under temporal uncertainty.
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