Using the Dutch Labour Force Survey 1991-2001, the authors investigate the incidence of part-time employment in the country with the highest part-time employment rate of the OECD countries. Women fulfil most part-time jobs, but a considerable fraction of men works part-time as well. Evidence...

This paper models fluctuations in regional disaggregates as a non-stationary, dynamically evolving distribution. Doing so enables the study of the dynamics of aggregate fluctuations jointly with those of the rich cross-section of regional disaggregates. For the United States, the leading state...

Equilibrium business cycle models have typically less shocks than variables. As pointed out by Altug, 1989, and Sargent, 1989, if variables are measured with error, this characteristic implies that the model solution for measured variables has a factor structure. This Paper compares estimation...

Given the concern about restructuring and the role of insiders during the transition, we analyse the determinants of (and trade-off between) investment and wages in Slovenian firms. We find that investment behaviour is more consistent with the imperfect capital market (internal funds) hypothesis...

This paper addresses the issue of forecasting the term structure. We provide a unified state-space modelling framework that encompasses different existing discrete-time yield curve models. Within such framework we analyze the impact on forecasting performance of two crucial modelling choices,...

We analyse the panel of the Greenbook forecasts (sample 1970-96) and a large panel of monthly variables for the US (sample 1970-2003) and show that the bulk of dynamics of both the variables and their forecasts is explained by two shocks. Moreover, a two factor model which exploits, in real...

This paper proposes a panel data framework for tests of affine models of the term structure of interest rates which cover equilibrium (or endogenous) models as well as extended (or exogenous, evolutionary) models. The econometric model pools yield curve data for different moments in time. Since...

The estimation of large Vector Autoregressions with stochastic volatility using standard methods is computationally very demanding. In this paper we propose to model conditional volatilities as driven by a single common unobserved factor. This is justified by the observation that the pattern of...