Abstract The paper applies synthetic instruments, initially developed for cross-sectional regression, to estimate dynamic spatial panel data models. These have two main advantages. First, instruments correlated with endogenous variables and yet independent of the errors are difficult find. Not only normally exogenous, but they usually strongly variables, thus help avoid problem weak instruments...
