Using matched employer-employee data from the Workplace Employment Relations Survey (2004), we find a significant training 'advantage' exists for public sector workers over private sector workers even after accounting for differences in the composition of the two workforces. This finding is...

The paper uses the first five waves of the British Household Panel Survey to explore the dynamics of the labour market experience of Britain's ethnic minorities relative to the white majority. The issue to be explored is labour market transitions. Ethnic minorities are shown to exhibit greater...

The paper elaborates on the problems for construction and estimation of econometric techniques for analysis of labour market in Bulgaria. It is used the econometrics vector autoregressive modeling (VAR). In the model are included and investigated the main indicators that characterize labour...

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The study examines the problems of developing and evaluating a econometric tools for analysis of the labour market in Bulgaria. Applied is an error correction model and a cointegrational analysis to evaluate the main interactions between labour market parameters for the period 1991-2006. In the...

This paper uses quantile regression techniques to analyze heterogeneous patterns of return to education across the conditional wage distribution in four transition countries. We correct for sample selection bias using a procedure suggested by Buchinsky (2001), which is based on a Newey (1991,...

The effect of new technology on relative demands for workers has been the subject of much research in economics. <link rid="b23">Krueger (1993)</link> and others have studied the impact of computers on earnings in the US and elsewhere. Such studies have been criticised for ignoring the possibility of bias due to...

When the choice variable is continuous, selectivity bias can in principle be dealt with by a procedure first suggested by Garen (1984). However, work reported in this paper on the estimation of hedonic wage equations with compensation for dangerous jobs, where selectivity bias could arise...