Affiliations: [a] Project Office of the Analytical Centre by Moscow City Government, Statistics Department, Plekhanov Russian University of Economics, Moscow, Russia | [b] Federal State Statistics Service (ROSSTAT), Plekhanov Russian University of Economics, Moscow, Russia | [c] Project Office of the Analytical Centre by Moscow City Government, Plekhanov Russian University of Economics, Moscow, Russia | [d] Regular Member ISI, Analytical Centre by Government of Moscow, Moscow, Russia
Corresponding author: Elena Zarova, Deputy Head of Project Office of the Analytical Centre by Moscow City Government, D.Sc. (Economics), Professor, Professor of Statistics Department (Plekhanov Russian University of Economics), Council Member of the International Statistical Institute, Honored Scientist of the Russian Federation, Russia. E-mail: [email protected].
Abstract: This article describes on the one hand statistical methods for assessing informal employment based on the requirements as set by international standards. On the other hand it describes the potential of integrating various data sources to generate informal employment statistics. With as example official statistics of the Russian Federation, the authors show the features of applying the requirements of international standards. Methods are proposed for assessing informal employment in the formal sector of the economy, i.e. in enterprises that submit employment reports to the National Statistical Office. This phenomenon appears in the employment situation of many countries. However, there is no uniformity between countries in how they evaluate the application of the international standards in such assessment exercises. A theoretical model of informal employment is developed and validated based on statistical data published by international organizations. The validation focuses on assessing the causal relationships between informal employment indicators and the main components of the sustainable development goals. This analysis contributes to coordinated decisions on regulating informal employment and ensuring the achievement of the Sustainable Development Goals (SDGs).
Keywords: Informal employment, sustainability, indicators, canonical correlation, constancy, determinants, synergistic effect, distribution methodology for sample surveys (LFS), official statistics, SDGs