This paper argues that typical applications of panel unit root tests should take possible nonstationarity in the volatility process of the innovations of the panel time series into account. Nonstationarity volatility arises for instance when there are structural breaks in the innovation...

This paper argues that typical applications of panel unit root tests should take possible nonstationarity in the volatility process of the innovations of the panel time series into account. Nonstationarity volatility arises for instance when there are structural breaks in the innovation...

This paper offers an evaluation of the output contribution of infrastructure. Drawing from a large data set of infrastructure stocks covering 88 countries and spanning the years 1960-2000, and using a panel time-series approach, the paper estimates a long-run aggregate production function...

Recent studies focused on testing the Easterlin hypothesis (happiness and national income correlate in the cross-section but not over time) on a global level. We make a case for testing the Easterlin hypothesis at the country level where individual panel data allow exploiting important...

We propose a multivariate Bayesian state space model to identify potential growth and the output gap consistent with the dynamics of the underlying production sectors of the economy and those of inflation and the labor market. Our approach allows us to decompose economic fluctuations and...

The concepts of potential growth and the output gap are important components in assessing the business cycle and productive capacity of an economy. However, being unobservable, these measures must be estimated. The Fiscal Compact will result in these concepts being used to judge EU member states...

In this paper we merge techniques from the efficiency literature with spatial econometric techniques. In particular, we combine calculation of efficiency from the unit speci c effects with the spatial lag model to develop a spatial autoregressive frontier model for panel data. Features of the...

The purpose of this paper is to explain both the need and the procedures of unit-root testing to a wider audience. The topic of stationarity testing in general and unit root testing in particular is one that covers a vast amount of research. We have been discussing the problem in four different...

Many seasonal macroeconomic time series are subject to changes in their means and variances over a long time horizon. In this paper we propose a general treatment for the modelling of time-varying features in economic time series. We show that time series models with mean and variance functions...

The linear Gaussian state space model for which the common variance is treated as a stochastic time-varying variable is considered for the modelling of economic time series. The focus of this paper is on the simultaneous estimation of parameters related to the stochastic processes of the mean...