Inflation Targeting,Recursive Inattentiveness,and Heterogeneous Beliefs

We consider a monetary authority that provides an explicit inflation target in order to align expectations with the policy objective. However, biased perceptions of the target may arise due to imperfect information flows. We allow agents to revise expectations over time and we model their recursive choice among prediction strategies as an optimization problem under rational inattention. We then investigate whether a simple policy rule can steer the economy toward the targeted equilibrium. Our findings suggest that determinacy under rational expectations may not be sufficient to reach the target. Instead, monetary policy should be fine‐tuned to correct agents' biased beliefs.     

Nonlinear Transmission of Financial Shocks: Some New Evidence

Financial shocks generate a protracted and quantitatively important effect on real economic activity and financial markets only if the shocks are both negative and large. Otherwise, their role is quite modest. Financial shocks have become more important for economic fluctuations after 2000 and have contributed substantially to deepening the recessions of 2001 and 2008. The evidence is obtained using a new econometric procedure based on a Vector Moving Average representation that includes a nonlinear function of the financial shock. This method is a contribution of the present work.     

When Credit Bites Back

Using data on 14 advanced countries between 1870 and 2008 we document two key facts of the modern business cycle: relative to typical recessions, financial crisis recessions are costlier, and more credit‐intensive expansions tend to be followed by deeper recessions (in financial crises or otherwise) and slower recoveries. We use local projection methods to condition on a broad set of macro‐economic controls to study how past credit accumulation impacts key macro‐economic variables such as output, investment, lending, interest rates, and inflation. The facts that we uncover lend support to the idea that financial factors play an important role in the modern business cycle.     

Fiscal Decentralization and Political Budget Cycles

We analyze a problem à la Rogoff where incumbents can distort fiscal policy to signal their competency, but where fiscal policy can be centralized or decentralized. Our main focus is on how the equilibrium probability that fiscal policy is distorted in any region (the political budget cycle, PBC) differs across fiscal regimes. With centralization, there are generally two effects that change the probability of a PBC. One is the possibility of selective distortion: the incumbent can be reelected with the support of just a majority of regions. The other is a cost diversification effect, which is present unless costs are perfectly correlated across regions. Both these effects work in the same direction, with the general result that the PBC probability is lower under centralization when decentralization also involves PBC. Welfare analysis shows that voters tend to be better off when the PBC probability is lower, so voters prefer centralization when decentralization involves PBC. Our results are robust to a number of changes in the specification of the model.     

The carry trade and fundamentals: Nothing to fear but FEER itself

Risky arbitraging based on interest rate differentials between two countries is typically referred to as a carry trade. Up until the recent global financial crisis, these trades generated years of persistent positive returns, which were hard to reconcile with standard pricing kernels. In 2008 these trades blew up, which seemed to weaken the case for a puzzle relating to predictable currency returns. But the rise and fall of this puzzle in the academic literature has only been concerned with naïve carry trades based on yield signals alone. We show, however, that some simple and more realistic fundamentals-augmented trading strategies would have generated strong and sustained positive profits that endured through the turmoil.     

ESTIMATION AND INFERENCE BY THE METHOD OF PROJECTION MINIMUM DISTANCE: AN APPLICATION TO THE NEW KEYNESIAN HYBRID PHILLIPS CURVE*

The stability of the solution path in a macroeconomic model implies that it admits a Wold representation. This Wold representation can be estimated semi‐parametrically by local projections and used to estimate the model's parameters by minimum distance techniques even when the stochastic process for the solution path is unknown or unconventional. We name this two‐step estimation procedure “projection minimum distance” and investigate its statistical properties for the broad class of models where the mapping between Wold coefficients and parameters is linear. This includes many situations with likelihood score functions nonlinear in the parameters that would otherwise require numerical optimization routines.