Getting Access to COVID-19 bailouts: Elite power or systemic importance?

Using a novel database of 189,000+ Colombian firms and 500,000+ firm executives' names, I study the effect of financial factors, CEOs' centrality (corporate power), and political connections on access to a government bailouts program launched to subsidy wages in the first stages of COVID 19 crisis. Natural Language Processing algorithms and complex networks metrics are used to unveil ownership and control links of politic/economic elites and gauge their closeness to the Colombian President. I find that firm size factors and firm age, instead of political-connections or being run by prominent CEOs/shareholders, explain access to the program. In addition, I find that impacts of the program are positive in terms of salaries and liquidity, but they do not increase with firm size and age. These findings suggest a preference for protecting systemically-important firms (without ex-post economic efficiency) rather than special interests of elites.

• Fecha de publicación: 2022
• Institución: Universidad del Rosario
• Repositorio: Repositorio EdocUR - U. Rosario
• Idioma: spa
• OAI Identifier: oai:repository.urosario.edu.co:10336/36021
• Acceso en línea: https://doi.org/10.48713/10336_36021; https://repository.urosario.edu.co/handle/10336/36021
• Palabra clave: Economic power; Political power; Elites; COVID-19; Bailouts; PAEF; Crisis; Complex Networks; Natural Language Processing; Economía; Poder Económico; Poder Político; Élites; Redes Complejas; Procesamiento del Lenguaje Natural; COVID-19; PAEF; Crisis
• License: Abierto (Texto Completo)