Smoothed nonparametric estimates of the spectral density matrix at zero frequency have been widely used in econometric inference, because they can consistently estimate the covariance matrix of a partial sum of a possibly dependent vector process. When elements of the vector process exhibit long...

Understanding and quantifying the determinants of the number of sectors or firms exporting in a given country is of relevance for the assessment of trade policies. Estimation of models for the number of exporting sectors, however, poses a challenge because the dependent variable has both a lower...

In this note we propose a simple method of measuring directional predictability and testing for the hypothesis that a given time series has no directional predictability. The test is based on the correlogram of quantile hits. We provide the distribution theory needed to conduct inference,...

We develop new tests of the capital asset pricing model which are valid under the assumption that the distribution generating returns is elliptically symmetric; this assumption is necessary and sufficient for the validity of the CAPM. Our test is based on semiparametric efficient estimation...

Disregarding spatial dependence can invalidate methods for analyzing cross-sectional and panel data. We discuss ongoing work on developing methods that allow for, test for, or estimate, spatial dependence. Much of the stress is on nonparametric and semiparametric methods.

The goal of the present paper is to investigate not only the dynamics of the Greek public debt, but also what are the appropriate measures required for achieving fiscal consolidation. The empirical estimation is carried out using a macroeconomic dataset spanning the period 1980-2008 and both the...

The goal of the present paper is to investigate not only the dynamics of the Greek public debt, but also what are the appropriate measures required for achieving fiscal consolidation. The empirical estimation is carried out using a macroeconomic dataset spanning the period 1980-2008 and both the...

This paper introduces a new model for portfolio credit risk incorporating default and spread widening in a simple and consistent framework. Credit spreads are modelled by geometric Brownian motions with a dependence structure powered by a t-copula. Their joint evolution drives the spreads...

This paper suggests overcoming some limitations of traditional inequality decomposition methods by developing a combination of Burtless (1999) and DiNardo et al. (1996), two different microsimulation methods for decomposing inequality. By using this combination it is possible to take into...

Most US house price models break down in the mid-2000's, due to the omission of exogenous changes in mortgage credit supply (associated with the sub-prime mortgage boom) from house price-to-rent ratio and inverted housing demand models. Previous models lack data on credit constraints facing...