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Diplomatic, economic and other relations between the Republic of Kazakhstan and the European Union have been officially established since 1993. Such interaction between Kazakhstan and the European Union has been effective for both sides. The aim of this research is to consider the economic, political, diplomatic and cultural relations between the European Union and Kazakhstan, as well as to propose recommendations for countries that are just beginning relations with the Union. The creation of a single dense economic and currency space on the European continent, the expansion of the Union, a strategy to advance the world economy, the formation of a common defense and security system, integration and components of global processes have become the main requirements of this union. Political, trade, economic and investment cooperation between the Republic of Kazakhstan and the EU is carried out within the framework of the Partnership and Cooperation Agreement signed on 23 January 1995 in Brussels and entered into force on 1 July 1999. On the basis of the agreement, it was possible to establish appropriate discussions on trade, investment, general economic relations, as well as cooperation in energy, transport, environment and finance. For the European Union, Kazakhstan has established partnerships in Central Asia as a key and effective partner. Thus, it became clear that Kazakhstan is a Eurasian state connecting Europe and Asia and a "Golden Bridge" in terms of geopolitical location.
Received: 29 November 2022Accepted: 08 February 2023

The European Union Survey on Income and Living Conditions (EU-SILC) is the main source of information about living standards and poverty in the EU member states. We compare different parametric models for the Lorenz curve (LC) with an empirical analysis of the income distributions of 26 European countries in the year 2017. The objective of our empirical study is to verify whether simple mono-parametric models for the LCs can represent similarities or differences between European income distributions in sufficient detail, or whether an alternative, more sophisticated multi-parametric model should be used instead. In particular, we consider the power LC, the Pareto LC, the Lamè LC, a generalised bi-parametric version of the Lamè LC, a bi-parametric mixture of power LCs and the recently introduced arctan family of LCs. Whilst the first three families are ordered, in that different parametric values correspond to a situation of Lorenz ordering, the latter three may also identify the ambiguous situation of intersecting LCs. Therefore, besides focusing on the goodness-of-fit of the models considered and their mathematical simplicity, we evaluate the effectiveness of multi-parametric models in identifying the non-dominated cases.