This study re-evaluates the monetary approach for the Canada/U.S. exchange rate and shows that its basic structure can be verified although the coefficients are not consistently in line with theory. Our findings also indicate that exchange rate adjustment is subject to regime shifts.

We present a version of the uncovered interest parity condition nesting in a portfolio balance model of the consumption capital asset pricing variety. This model supports the existence of “excess returns”–returns in excess of those explained by UIP.

We study the rationality of the inflation forecasts of the central banks of Argentina, Brazil, Chile, and Mexico. We reject rationality under a symmetric (Chile is an exception) but not under an asymmetric loss function. An overprediction implies a larger loss than an underprediction. We also...

Based on the approach advanced by Elliott et al. [Elliott, G., Komunjer, I., Timmermann, A., 2005. Estimation and testing of forecast rationality under flexible loss. Review of Economic Studies 72, 1107–1125], we studied whether the inflation and output growth projections published by the...

In this paper, we consider a model where producers set their prices based on their prediction of the aggregated price level and an exogenous variable, which can be a demand or a cost-push shock. To form their expectations, they use OLS-type econometric learning with bounded memory. We show that...

This paper considers the theoretical justifications of Lütkpohl’s (1988) test statistics when the data-generating process is relaxed to be a stationary ARFIMA process. Under suitable regularity conditions, we prove the applicability of Lütkpohl’s (1988) method to the stationary ARFIMA (p,...

This note presents a simple generalization of the adaptive expectations mechanism in which the learning parameter is time variant. Expectations generated in this way minimize mean squared forecast errors for any linear state space model.

Since the mid-1980s, Phillips curve forecasts of US inflation have been inferior to those of a conventional causal autoregression. However, little change in forecast accuracy is detected against the benchmark of a noncausal autoregression, more accurately characterizing US inflation dynamics.