Labour market participants’ competitiveness assessment based on latent variables theory

Sampling of Multiple Variables Based on Partially Ordered Set Theory

We introduce a new method for ranked set sampling with multiple criteria. The method relaxes the restriction of selecting just one individual variable from each ranked set. Under the new method for ranking, units are ranked in sets based on linear extensions in partially order set theory with considering all variables simultaneously. Results willbe evaluated by a relatively extensive simulation...

The Effects Of Afghan Immigrants On The Iranian Labour Market

Which control variables do we really need for matching based evaluations of labour market programmes?

Based on a new, exceptionally informative and large German linked employer-employee administrative dataset, we investigate the question whether the omission of important control variables in matching estimation leads to biased impact estimates of typical active labour market programmes for the unemployed. Such biases would lead to false policy conclusions about the effectiveness of these expens...

Labour Market Programmes and Labour Market Outcomes: A study of the Swedish Active Labour Market Interventions

This paper assesses the impact of Swedish welfare-to-work programmes on labour market performance including wages, labour market status, unemployment duration and future welfare-to-work participation. We develop a structural dynamic model of labour supply which incorporates detailed institutional features of these policies and allows for selection on observables and unobservables. We estimate t...

Labour Market Adjustment: Evidence on Interstate Labour Mobility

participants in a seminar at the Reserve Bank of Australia for valuable input. The views expressed in this paper are those of the authors and not necessarily those of the Reserve Bank of Australia. Use of any results from this paper should clearly attribute the work to the authors and not to the Reserve Bank of Australia.