Extending recent theoretical contributions on sources of inflation inertia, we argue that monetary uncertainty accounts for sluggish expectations adjustment to nominal disturbances. Estimating a model in which rational individuals learn over time about shifts in U.S. monetary policy and the...

One of the key inputs for inflation targeting regime is the right identification of inflationary or disinflationary pressures. These pressures are usually approximated by the output gap. In this paper we provide an estimation of the Peruvian output gap using a multivariate unobserved component...

This paper shows the way how persistent world inflation shocks hitting a small open economy can re-weight the importance of domestic and foreign factors in the determination of prices. In this sense, we study why the recently observed global disinflation environment may imply a weakening of the...

We examine the impact of public information in an economy where agents also have diverse private information. Our work builds on seminal contributions by Townsend (1983) and Phelps (1983), and more recently Woodford (2002), which emphasized the importance of higher-order beliefs – that is,...

There are two crucial conditions for cross-sectional aggregation of AR(1) parameters to produce long memory: 1) heterogeneity and 2) proximity to the unit root. We analyze role of moments, namely the mean and variance, of the distribution of the AR(1) coefficients in generating long memory. The...

This paper develops a model which can explain the hump-shaped impulse response of inflation to a monetary shock. A standard New Keynesian (NK) model is augmented so as to include dynamic externality with sticky wages and variable capital utilization. In our analysis, we assume purely...

Inflation can “grease†the wheels of the labor market by relaxing downward wage rigidity but it can also increase uncertainty and have a negative “sand†effect. This paper studies the grease effect of inflation by looking at whether the interaction between inflation and labor...

This paper extends the linear lasso estimators to non-linear case. We are especially interested in GMM type of Lasso estimators. Lasso estimators are generalization of ridge regression in least squares. With this setup we can deal with identification problem introduced by weak instruments. When...

In examining the likely consequences of nonsense relationship, Granger and Newbold (1974) made it clear that the differencing is not the universal sure solution to the problem of spurious regression models. This has prompted the discovery of the cointegration regression estimation by Engle and...

The use of the Beveridge Nelson decomposition in macroeconomic analysis involves the truncation and estimation of infinite weighted sums of random variables, whereas the single source of error (SSE) state space approach provides a simple and effective framework that leads to exactly the same...