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The complexity resulting from intertwined uncertainties regarding model misspecification and mismeasurement of the state of the economy defines the monetary policy landscape. Using the euro area as laboratory this paper explores the design of robust policy guides aiming to maintain stability in the economy while recognizing this complexity. We document substantial output gap mismeasurement and make use of a new model data base to capture the evolution of model specification. A simple interest rate rule is employed to interpret ECB policy since 1999. An evaluation of alternative policy rules across 11 models of the euro area confirms the fragility of policy analysis optimized for any specific model and shows the merits of model averaging in policy design. Interestingly, a simple difference rule with the same coefficients on inflation and output growth as the one used to interpret ECB policy is quite robust as long as it responds to current outcomes of these variables.
This paper empirically investigates how organizational hierarchy affects the allocation of credit within a bank. Using an exogenous variation in organizational design, induced by a reorganization plan implemented in roughly 2,000 bank branches in India during 1999-2006, and employing a difference-in-differences research strategy, we find that increased hierarchization of a branch decreases its ability to produce "soft" information on loans, leads to increased standardization of loans and rationing of "soft information" loans. Furthermore, this loss of information brings about a reduction in performance on loans: delinquency rates and returns on similar loans are worse in more hierarchical branches. We also document how hierarchical structures perform better in environments that are characterized by a high degree of corruption, thus highlighting the benefits of hierarchical decision making in restraining rent seeking activities. Finally, we document a channel - managerial interference - through which hierarchy affects loan outcomes.