Understanding Interaction Models: Improving Empirical Analyses
New York University · University of Michigan · +1 more institution
Abstract
Multiplicative interaction models are common in the quantitative political science literature. This is so for good reason. Institutional arguments frequently imply that the relationship between political inputs and outcomes varies depending on the institutional context. Models of strategic interaction typically produce conditional hypotheses as well. Although conditional hypotheses are ubiquitous in political science and multiplicative interaction models have been found to capture their intuition quite well, a survey of the top three political science journals from 1998 to 2002 suggests that the execution of these models is often flawed and inferential errors are common. We believe that considerable progress…
Citation impact
- FWCI
- 437.30
- Percentile
- 100%
- References
- 34
Authors
3Topics & keywords
- Multiplicative function
- Intuition
- Politics
- Context (archaeology)
- Positive economics
- Checklist
- Causal inference
- Political methodology