We propose methods for testing hypothesis of non-causality at various horizons, as defined in Dufour and Renault (1998, Econometrica). We study in detail the case of VAR models and we propose linear methods based on running vector autoregressions at different horizons. While the hypotheses...

Inference about predictive ability is usually carried-out in the form of pairwise comparisons between two forecasting methods. Nevertheless, some interesting questions are concerned with families of models and not just with a couple of forecasting strategies. For instance: Are time-series models...

We propose the estimation of a log-log Cobb-Douglas aggregate production function for the Palestinian industry. We find that traditional OLS estimates are not reliable (they are bad predictors), due to the fact that only limited is available (small samples), and variables are characterised by...

Unter Verwendung des Sozio-oekonomischen Panels untersuchen wir, wie sich die Einkommensverteilung für Haushaltsgemeinschaften älterer Personen im Alter von 55 Jahren und älter seit der Wiedervereinigung entwickelt hat. Innerhalb dieser Gruppe unterscheiden wir zwischen...

The aim of this paper is to analyze the changes in the wage inequality of the Greater Buenos Aires during 1995-2003. In order to do so I apply the Juhn, Murphy and Pierce (1993) microdecomposition methodology. Although, I estimate the parameters through a quantile regression technique proposed...

In this paper we propose a test for a set of linear restrictions in a Vector Autoregressive Moving Average (VARMA) model. This test is based on the autoregressive metric, a notion of distance between two univariate ARMA models, M0 and M1, introduced by Piccolo in 1990. In particular, we show...

Effective risk management is an important aspect of farming. Risk management involves choosing among alternatives that reduce the financial effects of the uncertainties of weather, yields, prices, government policies, and other factors that can cause wide swings in farm income. To deal with...

The universal method for testing linearity against smooth transition autoregressive (STAR) alternatives is the linearization of the STAR model around the null nuisance parameter value, and performing F-tests on polynomial regressions in the spirit of the RESET test. Polynomial regressors,...

In this paper we propose a test for a set of linear restrictions in a Vector Autoregressive Moving Average (VARMA) model. This test is based on the autoregressive metric, a notion of distance between two univariate ARMA models, <em>M₀</em> and <em>M₁</em>, introduced by Piccolo in 1990. In particular, we show...

Classic linear regression models and their concomitant statistical designs assume a univariate response and white noise.By definition, white noise is normally, independently, and identically distributed with zero mean.This survey tries to answer the following questions: (i) How realistic are...