This paper generalizes the popular stochastic volatility in mean model of Koopman and Hol Uspensky (2002) to allow for time-varying parameters in the conditional mean. The estimation of this extension is nontrival since the volatility appears in both the conditional mean and the conditional...

This paper estimates the Brazilian NAILO (Nonaccelerating Inflation Level of Output), obtains (Bayesian) probability bands for the Nailo and for its growth rate, and investigates the relationship between deviations of output with respect to the Nailo and the acceleration of inflation. As...

We estimate a VAR model of the Phillips curve with an exchange rate shock to the Brazilian economy. Several different specifications, with different time frequencies, were estimated. Overall the results were robust to these changes, and can be summed up in the following: i) the pass-through to...

Using a New-Keynesian framework, we investigate how far the inflationary processes in member states of EMU cause regional price levels to converge. We fail to produce hard evidence of the present existence of such an adjustment mechanism, notwithstanding that inflation in some countries tends to...

Cost-of-Living-Adjustment (COLA) coverage figures suggest a time variation in the degree of wage indexation. In spite of this observation, most current literature conveniently assume a constant degree of indexation as this variable is not directly observable. This study intends to empirically...

The goal of this article is to estimate the New Keynesian Phillips Curve for Brazilian economy. Due to some specifications problems in regressions estimated by IV method, the GMM-HAC methodology was used in order to address them. We noted the robustness of the results performing a detailed...

We estimate the Phillips curve with an exchange rate shock to the Brazilian economy. Besides panel data, we estimate the Phillips curve by time series methodology, including Bayesian techniques and Smoothing Transition Regressions (STR) model. The econometric results show three important...