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Purpose: Following the COVID-19 outbreak, there are concerns whether economies are becoming farther from equality and competency. While this matters to every economy, it is more crucial for developing ones who already suffer from income inequalities and lack of competency. The purpose of this paper is to address this issue. Design/methodology/approach: This study uses an administrative data from the Iran's Social Security Organization (ISSO) that provides insurance to workers entitled to the Labor Law of Iran. The data contain more than 7,000,000 workers. The authors assess heterogeneous impact of the first wave of the pandemic by firms' size and average payment. Findings: The authors' estimation results indicate that, following the initiation of the pandemic, the workers whose corresponding firms are smaller, overall, are more prone to the pandemic and are more likely to submit a request for unemployment benefits. However, the relation is neither homogeneous across sectors nor linear among micro-sized firms. Few sectors indicate a positive relationship between size and likelihood of request submission, including cultural activity, shoemaking and clothing sectors. Besides the size, the authors investigate whether pay grades could explain the probability of becoming unemployed after the pandemic. Results show that workers whose corresponding firms pay less are more likely to submit a request. This is robust within different sectors. Research limitations/implications: The ISSO dataset is not a panel, so the authors cannot employ methods of causal inferences. The authors' results should be seen as correlation; however, due to exogeneity and sharpness of the pandemic the result infers to some degree of causality. The data does not cover the informal sector, so the estimates are at lower boundary. Originality/value: Administrative data on unemployment benefits during COVID-19 show that the pandemic interferes with competition by forcing low-paid workers and small firms to exit the market. This is an alarm for the competition in every economy, specially developing ones. [ABSTRACT FROM AUTHOR]

Purpose To transcend the current debates about whether participation in the informal sector is a result of informal workers “exclusion” or their voluntary “exit” from the formal sector, the purpose of this paper is to propose and evaluate the existence of a dual informal labour market composed of an exit-driven “upper tier” and exclusion-driven “lower-tier” of informal workers.Design/methodology/approach To do this, data from a 2013 Eurobarometer survey involving 27,563 face-to-face interviews across the European Union is reported.Findings The finding is that in the European Union, there is a dual informal labour market with those participating in the informal sector due to their exclusion from the formal sector being half the number of those doing so to voluntarily exit the formal sector. Using a logistic regression analysis, the exclusion-driven “lower tier” is identified as significantly more likely to be populated by the unemployed and those living in East-Central Europe and the exit-driven “upper tier” by those with few financial difficulties and living in Nordic nations.Research limitations/implications The results reveal the need not only to transcend either/or debates about whether participants in the informal sector are universally exclusion-or exit-driven, and to adopt a both/and approach that recognises a dual informal labour market composed of an exit-driven upper tier and exclusion-driven lower tier, but also for wider research on the relative sizes of these two tiers in individual countries and other global regions, along with which groups populate these tiers.Originality/value This is the first evaluation of the internal dualism of the informal sector in the European Union. [ABSTRACT FROM AUTHOR]

Purpose This paper, the first one to use individual-level Turkish panel data, examines the labor market transitions in Turkey along the formal/informal employment divide. The purpose of this paper is to contribute to the limited body of empirical evidence available on mobility and informality in the Turkish labor market.Design/methodology/approach Toward this end, the authors use Turkish income and Living Conditions Survey panel data for 2006, 2007, 2008 and 2009 to compute the Markov transition probabilities of individuals moving across six different labor market states: formal-salaried (FS), informal-salaried, formal self-employed, informal self-employed, unemployed and inactive. In order to examine the nature of mobility patterns in more detail, the authors then estimate six multinomial logit models individually for each transition adopting a number of individual and employment characteristics as explanatory variables.Findings The authors find evidence that mobility patterns are fairly similar across different time spans, the probability of remaining in initial state is higher than the probability of transition into another state for all the labor market states, except for unemployment, there is only very limited mobility into the FS state. Gender, education and sector of economic activity are observed to display significant effects on mobility patterns. The results reveal several relationships between the covariates and likelihood of variant transitions.Research limitations/implications This study provides a comprehensive and detailed diagnosis of the Turkish labor market. The market is observed to display a rather static structure throughout the period considered. The results indicate that a well recognition of underlying dynamics may help policy makers to produce various effective tools for addressing informality.Originality/value First study to analyze labor market mobility across formal/informal sectors using newly available panel data. [ABSTRACT FROM AUTHOR]