Methodology
We extend and introduce methods that advance causal inference, experimental design, and survey research.
We introduce a statistical methodology to infer individual preferences from group decisions. The methodology is applicable in various small-group decision-making contexts where group assignments are repeated and exogenous.
We propose a framework to reduce attrition in phone-based panel surveys, combining best practices with an online platform that semi-automates call scheduling and enumerator workflows. In a panel study of Syrian refugees in Lebanon, this approach sustained 63% retention after 4.5 years.
We introduce a method to statistically characterize compliers and non-compliers in an (quasi-) experiment in which some subjects are assigned to take a treatment but free to choose whether to comply or not with this assignment.
We show that hypothetical choices measured in a conjoint survey experiment are driven by the same structural determinants of the actual choices made in the real world.
The lack of visibility of null results limits cumulative knowledge in political science. To address this, we propose that scholars adopt short ‘null result reports’ and offer a template for their use.
We extend Abadie et al.'s synthetic control approach (2010) to a setting with multiple treated units.
