Spatial and Temporal Interdependence
- Michael ColaresiMichael ColaresiDepartment of Political Science, Michigan State University
- and Jude C. HaysJude C. HaysDepartment of Political Science, University of Pittsburgh
Time and space are two dimensions that are likely to provide the paths—either singly or in tandem—by which international policy decisions are interdependent. There are several reasons to expect international relations processes to be interdependent across space, time, or both dimensions. Theoretical approaches such as rational expectations models, bureaucratic models of decision-making, and psychological explanations of international phenomena at least implicitly assume—and in many cases explicitly predict—dependence structures within data. One approach that researchers can use to test whether their international processes of interest are marked by dependence across time, space, or both time and space, is to explicitly model and interpret the hypothesized underlying dependence structures. There are two areas of spatial modeling at the research frontier: spatial models with qualitative and limited dependent variables, an co-evolution models of structure and behavior. These models have theoretical implications that are likely to be useful for international relations research. However, a gap remains between the kinds of empirical models demanded by international relations data and theory and the supply of time series and spatial econometric models that are available to those doing applied research. There is a need to develop appropriate models of temporal and spatial interdependence for qualitative and limited dependent variables, and for better models in which outcomes and structures of interdependence are jointly endogenous.