  Dyadic data, where outcomes reflecting pairwise interaction among sampled
units are of primary interest, arise frequently in social science research.
Regression analyses with such data feature prominently in many research
literatures (e.g., gravity models of trade). The dependence structure
associated with dyadic data raises special estimation and, especially,
inference issues. This chapter reviews currently available methods for
(parametric) dyadic regression analysis and presents guidelines for empirical
researchers.
