budgetary consequences of social programmes. The expected development of the labour force is a key input to these forecasts. We … suggest combining a functional data approach to age-profiles of labour market participation rates with information on … education, marital status and other exogenous variables to improve long-term forecasts of labour supply. …

This paper presents a stochastic integrated model to forecast the German population and labour supply until 2060 … immigration rates. The labour force participation rates are estimated by means of an econometric time series approach. All time …

-dimensional panel data with grouped factor structures. The proposed method attempts to capture the level of similarity of each of the …

This paper constructs individual-specific density forecasts for a panel of firms or households using a dynamic linear … model with common and heterogeneous coefficients and cross-sectional heteroskedasticity. The panel considered in this paper … simulation-based posterior sampling algorithm specifically addressing the nonparametric density estimation of unobserved …

forecast evaluation; provides additional Monte Carlo simulation results on GARCH model estimation and VaR prediction; extends …

of conditional information, and reviews an arbitrage pricing theory for large dimensional factor models in this framework …

This paper considers the problem of prediction in a panel data regression model with spatial auto-correlation in the … context of a simple demand equation for liquor. This is based on a panel of 43 states over the period 1965-1994. The spatial …