How conjoint analysis contributes to mitigating intergroup conflict? A case study of ageing policy in Taipei City (Taiwan)

Overview

This article uses conjoint analysis to study how policy design can mitigate intergroup conflict surrounding ageing policy in Taipei City. We field a conjoint experiment that varies key policy attributes (e.g., benefit distribution, funding source, target groups) and examine how different configurations affect support among younger and older respondents.

Research Design

• Data: Survey experiment of residents in Taipei City
• Method: Conjoint analysis to estimate the marginal effect of each policy attribute on support
• Key attributes:
  • Who benefits (younger vs. older groups)
  • How costs are shared
  • Program framing and eligibility

Key Findings

• Certain policy designs reduce perceived zero-sum conflict between age groups.
• Framing ageing policy in more inclusive, intergenerational terms increases support across both younger and older respondents.
• Distributional features matter less than expected once policies are framed as mutual gains rather than competition.