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...

The paper fixes some important properties of matrix-valued correlation functions associated to Multivariate Gaussian fields in a Euclidean space Rd. In particular, we focus (a) on the isotropic (radially symmetric) case and (b) on anisotropy obtained through isotropy between components of the...

Monetary integration, and more specifically, the creation of a monetary union in Europe, raises new economic questions concerning its functioning and governance. In particular, we focus on the implications of high and persistent current account deficits for the economic performance of monetary...

We assess the sustainability of public finances in OECD countries using panel unit root and cointegration analyses. Results show: no cointegration (no sustainability) between revenues and expenditures; improvement of the primary balances after worsening debt ratios; causality from government...

The marginal utility of wealth in incomplete markets small open economy models follows a unit root process. I study the nonlinear properties of devices often used to remove the unit root and I find that they generate different dynamics when matching emerging markets. Models with endogenous...

We establish consistency and asymptotic normality for a weighted least squares estimate (2SWLSE) of a threshold power ARCH process in both stationary and nonstationary environments. For models with heavy tail innovations, the 2SWLSE is more efficient than the quasi-maximum likelihood estimate.

We suggest three superpositions of COGARCH (sup-CO-GARCH) volatility processes driven by Lévy processes or Lévy bases. We investigate second-order properties, jump behaviour, and prove that they exhibit Pareto-like tails. Corresponding price processes are defined and studied. We find that the...

<Para ID="Par1">Large spatial data sets require innovative techniques for computationally efficient statistical estimation. In this comment some aspects of local predictor selection are explored, with a view towards spatially coherent field prediction and uncertainty quantification. Copyright Sociedad de...</para>