spatial differencing; boundary discontinuity; robust inference; dyadic data

Spatial differencing (SD) is a spatial data transformation pioneered by Holmes (1998) increasingly used to estimate causal effects with non-experimental data. Recently, this transformation has been widely used to deal with omitted variable bias …