Many empirical studies have shown that factor models produce relatively accurate forecasts compared to alternative short-term forecasting models. These empirical findings have been established for different macroeconomic data sets and different forecast horizons. However, various specifications...

Can fixed exchange rate regimes cause output divergence among member states? We show that such divergence is a long-run equilibrium characteristic of a two-region model with fixed exchange rates, heterogeneous labor markets, and endogenous growth. Under flexible exchange rates, monetary policy...

Time varying patterns in US growth are analyzed using various univariate model structures, starting from a naive model structure where all features change every period to a model where the slow variation in the conditional mean and changes in the conditional variance are specified together with...

We present a multi-country theory of economic growth in which countries are connected by a network of mutual knowledge exchange. Growth is generated through human capital accumulation and knowledge externalities. The available knowledge in any country depends on its connections to the rest of...

This paper investigates the extent of pass-through from the nominal exchange rate to import prices for a sample of nineteen African countries. The methodology is based on panel data cointegration testing. Using annual data extending back to 1971, long-run pass-through can be best described as a...

A four-dimensional Structural Vector Auto-regression (SVAR) model is applied to investigate the implications of fuel imports and devaluation policy on Fiji's current account deficits and economic growth. The paper finds that short-term deterioration of the current account is partly due to higher...

We present a model for hourly electricity load forecasting based on stochastically time-varying processes that are designed to account for changes in customer behaviour and in utility production efficiencies. The model is periodic: it consists of different equations and different parameters for...

We investigate changes in the time series characteristics of postwar U.S. inflation. In a model-based analysis the conditional mean of inflation is specified by a long memory autoregressive fractionally integrated moving average process and the conditional variance is modelled by a stochastic...

State space models with nonstationary processes and fixed regression effects require a state vector with diffuse initial conditions. Different likelihood functions can be adopted for the estimation of parameters in time series models with diffuse initial conditions. In this paper we consider...

Likelihood based inference for multi-state latent factor intensity models is hindered by the fact that exact closed-form expressions for the implied data density are not available. This is a common and well-known problem for most parameter driven dynamic econometric models. This paper reviews,...