Representative democracy entails the aggregation of multiple policy issues by parties into competing bundles of policies, or ``manifestos,'' which are then evaluated holistically by voters in elections. This aggregation process obscures the multidimensional policy preferences underlying a...

How can we elicit truthful responses in surveys? Political scientists are often concerned about systematic survey misreporting on sensitive topics, known as social desirability bias (SDB). Conjoint analysis has become a popular tool to address this concern, despite the lack of systematic...

The existence of dominant parties in democracies is an enduring puzzle, in part because spatial models of voting suggest that an opposition party should be able to challenge the incumbent by proposing more popular policies. We consider the preeminent case of Japan’s Liberal Democratic Party...

In recent years, political and social scientists have made increasing use of conjoint survey designs to study decision-making. Here, we study a consequential question which researchers confront when implementing conjoint designs: how many choice tasks can respondents perform before survey...

Recent years have seen a renaissance of conjoint survey designs within social science. To date, however, researchers have lacked guidance on how many attributes they can include within conjoint profiles before survey satisficing leads to unacceptable declines in response quality. This paper...

Political scientists have increasingly deployed conjoint survey experiments to understand multi-dimensional choices in various settings. We demonstrate that the Average Marginal Component Effect (AMCE) constitutes an aggregation of individual-level preferences that translates into a primary...

The concept of electoral competition plays a central role in many subfields of political science, but no consensus exists on how to measure it. One key challenge is how to conceptualize and measure electoral competitiveness at the district level across alternative electoral systems. Recent...