The purpose of the paper is to revisit the inflation–output gap relationship using a new approach known as the wavelet transform. This approach combines the classical time series analysis with frequency domain analysis and presents the advantages of assessing the co-movement of the two series...

The current paper seeks to build a theoretical explanation to understand why many central banks failed to reduce inflation variability despite having the desire. The result proves that central bank's preferences are a necessary condition but not sufficient to guarantee lower inflation...

This paper proposes a monetary model with firm entry as a means for alleviating the difficulties of real business cycle models in reproducing the smoothness and persistence of macroeconomic variables together with the volatility of profits and markups. Simulations show that my baseline model...

How important are the benefits of low price-level uncertainty in the presence of financial shocks? This paper explores the desirability of price-level path targeting in a small open economy with credit frictions à la Bernanke et al. (1999). The model features credit flows and exogenous shocks...

In this paper, we propose a temporal disaggregation model with regime switches to disaggregate U.S. quarterly GDP into monthly figures. Alternative to the existing literature, our model is able to capture the nonlinear behaviors of both aggregated and disaggregated output series as well as the...

The Chinese economic development affects GDP growth and inflation in the advanced countries. The size of the effects is inferred from multivariate time series and structural econometric methods. In particular, the GVAR and the NiGEM are employed to examine the interdependencies between the...

This study attempts to infer the length of aggregate time-to-build period by estimating DSGE models with different investment lags and comparing their fits to the data. The models considered in this study use two, four, six, and eight quarters of investment lags. The Bayesian estimation result...

Rational expectations has been the dominant way to model expectations, but the literature has quickly moved to a more realistic assumption of boundedly rational learning where agents are assumed to use only a limited set of information to form their expectations. A standard assumption is that...

According to the growing “Google econometrics” literature, Google queries may help predict economic activity. The aim of our paper is to test whether these data can enhance predictions of youth unemployment in France.

We develop and estimate a medium-sized, semi-structural model for the Brazilian economy during the inflation targeting period. The model describes fairly well key features of the economy and allows us to decompose the transmission mechanism of monetary policy. In the baseline decomposition, the...