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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: Do financial services needs depend on the firm size? To highlight the impact of different categories of financial services on firm performance, we establish a correspondence between financial services and firms' performance classified according to their size, controlling with the determinants of firm performance and the obstacles that hinder the development of each category of firm. Design/methodology/approach: We have mobilized microeconomic data on 78,629 firms stratified by size and covering 135 countries, extracted from the Enterprise Surveys database. A two-stage least squares (2SLS) regression analysis with instrumental variable modeling is used. Findings: Our empirical results show that a firm's financing behavior differs according to its size. For micro and small firms, the availability of internal financing has a positive impact on their performance. For medium-size firms, the use of debt stimulates firm performance. For large firms, the positive effect of debt diminishes as the level of debt increases, which leads this category of firms to increase their capital. We complemented our study by exploring the issue of whether barriers to firm performance differ by size. Our results bring a support to the idea that medium-size firms suffer more than micro, small, and large firms. The size of this category of firms does not allow them to operate in the informal sector as micro and small firms do, and does not allow them to influence political authorities to operate in their favor as large firms do. Originality/value: Previous studies have focused on investigating the effects of access to finance and/or financing constraints on firm's performance, neglecting the issue of identifying which financial services have the most impact on firm performance depending on firms' size. This study fills the gap in the literature in two main ways. First, we identify the financial services that have the most impact on firm performance using firm-level data covering 78,629 firms by size (micro, small, medium, and large). Second, we investigate the different barriers to firm performance by size. [ABSTRACT FROM AUTHOR]