The available evidence on the effects of aid on growth is notoriously mixed. We use a novel empirical methodology, a heterogeneous panel vector-autoregression model identified through factor analysis, to study the dynamic response of exports, imports, and per capita GDP growth to a global aid...

We analyze real interest rate convergence among six industrialized countries in between 1975M1-2011M3 within a multi-country framework by means of a dynamic latent factor model. The real interest rates are decomposed into permanent and transitory factors, and country-specific components....

Persistent variations in the log price-to-dividend ratio (PtDR) have triggered a lively discussion in the literature. This paper proposes a present value model incorporating this persistence through a time-varying steady state of the PtDR. Log-likelihood statistics confirm that the time-varying...

Since 1991, survey expectations of long-run output growth for the U.S. relative to the rest of the world exhibit a pattern strikingly similar to that of the U.S. current account, and thus also to global imbalances. We show that this finding can to a large extent be rationalized in a two-region...

In this paper we use the frequency domain Granger causality test of Breitung/Candelon (2006) to analyse short and long-run causality between energy prices and prices of food commodities. We find that the oil price Granger causes all the considered food prices. However, when controlling for...

Recent empirical findings suggest that macroeconomic variables are seldom normally dis- tributed. For example, the distributions of aggregate output growth-rate time series of many OECD countries are well approximated by symmetric exponential-power (EP) den- sities, with Laplace fat tails. In...

World economies, and especially European ones, have become strongly interconnected in the last decades and a joint modelling is required. We propose here the use of Copulas to build flexible multivariate distributions, since they allow for a rich dependence structure and more flexible marginal...

The detection of business-cycle turning points is usually performed with non-linear discrete-regime models such as binary dependent variable (e.g., probit or logit) or Markov-switching methods. The probit model has the drawback that the continuous underlying target variable is discretized, with...

Two series of German bonds, issued in 1924 and 1930, traded on the London Stock Exchange throughout Hitler's 1933-1945 regime in Germany. We isolate both structural breaks and turning points in these bond series. Major turning points follow Hitler's reintroduction of conscription in 1935, the...

We compare small-sample properties of Bayes estimation and maximum likelihood estimation (MLE) of ARMA-GARCH models. Our Monte Carlo experiments indicate that in small sample, the Bayes estimator beats the MLE. We also develop a Bayes method of testing strict stationarity and ergodicity of the...