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α: calibrated so average coauthorship-adjusted count equals average raw count
This paper develops a two-sector matching model that incorporates the main features of Latin American labor markets. It has an innovation in its matching structure that makes it more consistent with some key stylized facts of the informal sector in these countries. The model is numerically solved using Brazilian data and several policy simulations are performed. Reducing formal sector's entry cost significantly reduces the size of the informal sector and improves overall labor market performance. Increasing enforcement significantly reduces informality but has strong adverse effects on unemployment and welfare. Thus, the results indicate that the tradeoff between lower informal employment and higher unemployment rates is not present when one looks at policies that aim at reducing the costs of being formal, as opposed to policies that simply increase the costs of being informal.