A popular identification strategy in non-experimental panel data uses instrumental variables constructed by interacting exogenous but potentially spurious time series or spatial variables with endogenous exposure variables to generate identifying variation through assumptions like those of...

The long-recognized spurious regressions problem can lead to mistaken inference in panel instrumental variables (IV) estimation. Spurious correlations arising from correlated cycles in finite time horizons can make irrelevant instruments appear strong with signable consequences for estimated IV...

A popular identification strategy in non-experimental panel data uses instrumental variables constructed by interacting exogenous but potentially spurious time series or spatial variables with endogenous exposure variables to generate identifying variation through assumptions like those of...

A popular identification strategy in non-experimental panel data uses instrumental variables constructed by interacting exogenous but potentially spurious time series or spatial variables with endogenous exposure variables to generate identifying variation through assumptions like those of...

The long-recognized spurious regressions problem can lead to mistaken inference in panel instrumental variables (IV) estimation. Spurious correlations arising from correlated cycles in finite time horizons can make irrelevant instruments appear strong with signable consequences for estimated IV...

Public transfer programs that allow beneficiaries to choose the transferred good may be more efficient, but the poorest beneficiaries may not participate if the good chosen is too costly. A model shows that program targeting and consumption impacts are tied to selected quality of the provided...