Our starting point is the real0life situation of a policymaker aiming to identify and collect economic data, evaluate competing models of the intensity of financial crisis, and make policy decisions with a view to preventing and mitigating financial crises. The policymaker may be interpreted as either the IMF or the World Bank aiming to determine which crisis indicators to employ in their new role of assessing financial vulnerability. The tools available are a set of multiple, overlapping theories of financial crises emphasizing different channels (e.g., foreign exchange liquidity, bad banks) and a large set of economic data that encompasses potentially useful indicators of crisis shocks and channels, but may be costly to collect. In this context, it seems sensible for the policymaker to extract useful crisis indicators from the data by imposing priors based on the literature, choosing indicators that explain the intensity of historical financial crises, and paying the costs of collecting these data. Uncertainty over which policy to recommend follows from a number of sources of uncertainty, including theory and measurement uncertainty. In this study we assume that the policy maker wants to evaluate policies unconditionally with respect to a potentially large number of alternate models of financial crisis intensity.
The assessment of post crisis dynamics involves estimation of the intensity of a crisis in terms of its impact on the real sector. Intensity can be thought of as the distance that the economy travels from the pre0crisis equilibrium measured along the output dimension. This definition is useful for policy because governments care most about the welfare costs of financial crises, and welfare costs have a higher correlation with real GDP than with financial sector indicators. In addition, accurate financial indicators of crisis intensity are problematic, especially indicators meant to capture aggregate bank distress. Empirically, crisis intensity is gauged by the change in real GDP relative to the precrisis trend, conditional on the occurrence of a crisis.