The paper combines the literature on financial crises in emerging markets and developing economies with that on international migrations by investigating whether the increasingly large flows of workers’ remittances can help reduce the probability of current account reversals. The rationale for...

This paper presents a model of financial resource curse, i.e. episodes of abundant access to foreign capital coupled with weak productivity growth. We study a two-sector, tradable and non-tradable, small open economy. The tradable sector is the engine of growth, and productivity growth is...

We study the mechanisms through which the adoption of the Euro delayed, rather than advanced, economic reforms in the Euro zone periphery and led to the deterioration of important institutions in these countries. We show that the abandonment of the reform process and the institutional...

In this paper we distinguish different “qualities” of FDI to re-examine the relationship between FDI and growth. We use ‘quality’ to mean the effect of a unit of FDI on economic growth. However this is difficult to establish because it is a function of many different country and project...

We analyse the Generalised Hyperbolic distribution as a model for fat tails and asymmetries in multivariate conditionally heteroskedastic dynamic regression models. We provide a standardised version of this distribution, obtain analytical expressions for the log-likelihood score, and explain how...

This paper models uctuations in regional disaggregates as a nonsta- tionary, dynamically evolving distribution. Doing so enables study of the dynamics of aggregate uctuations jointly with those of the rich cross-section of regional disaggregates. For the US, the leading state| regardless of...

We consider a multivariate continuous time process, generated by a system of linear stochastic differential equations, driven by white noise and involving coefficients that possibly vary over time. The process is observable only at discrete, but not necessarily equally-spaced, time points...

Asymptotic inference in nonlinear vector error correction models (VECM) that exhibit regime-specific short-run dynamics is nonstandard and complicated. This paper contributes the literature in several important ways. First, we establish the consistency of the least squares estimator of the...

A well known result is that the Gaussian log-likelihood can be expressed as the sum over different frequency components. This implies that the likelihood ratio statistic has a similar linear decomposition. We exploit these observations to devise diagnostic methods that are useful for...

Instrumental variables estimation is classically employed to avoid simultaneous equations bias in a stable environment. Here we use it to improve upon ordinary least squares estimation of cointegrating regressions between nonstationary and/or long memory stationary variables where the...