Economics

Although the share of platform work is very small compared to conventional and traditional employment system, research shows that the use of platform work is increasingly growing all over the world. Trade unions have also paid special attention to the platform work because they know that the transfer of a percentage of human resources to the platforms is undeniable. To this end, the trade unions prepare themselves for the challenges and dynamics of this emerging phenomenon in the field of human resources. Using a qualitative research method and a case study of Hungary, the present study aimed to identify the strategies adopted by Trade Unions to manage the transition to platform works and provide suggestions for both practitioners and future research.

We propose a methodology for constructing confidence regions with partially identified models of general form. The region is obtained by inverting a test of internal consistency of the econometric structure. We develop a dilation bootstrap methodology to deal with sampling uncertainty without reference to the hypothesized economic structure. It requires bootstrapping the quantile process for univariate data and a novel generalization of the latter to higher dimensions. Once the dilation is chosen to control the confidence level, the unknown true distribution of the observed data can be replaced by the known empirical distribution and confidence regions can then be obtained as in Galichon and Henry (2011) and Beresteanu, Molchanov and Molinari (2011).

We propose a multivariate extension of a well-known characterization by S. Kusuoka of regular and coherent risk measures as maximal correlation functionals. This involves an extension of the notion of comonotonicity to random vectors through generalized quantile functions. Moreover, we propose to replace the current law invariance, subadditivity and comonotonicity axioms by an equivalent property we call strong coherence and that we argue has more natural economic interpretation. Finally, we reformulate the computation of regular and coherent risk measures as an optimal transportation problem, for which we provide an algorithm and implementation.