3. Producción

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    Optimal Taxation and Life Cycle Labor Supply Profile
    (Pontificia Universidad Católica del Perú. Departamento de Economía, 2013)
    The optimal capital income tax rate is 36 percent as reported by Conesa, Kitao, and Krueger (2009). This result is mainly driven by the market incompleteness as well as the endogenous labor supply in a life-cycle framework. We show that this model fails to account for the basic life-cycle features of the labor supply observed in the U.S. data. In this paper, we introduce into this model non-linear wages and inter-vivos transfers into this model in order to account for the life-cycle features of labor supply. The former makes hours of work highly persistent and helps to account for labor choices at the extensive margin over the life cycle. The latter allows us to account for labor choices early in life. The suggested model delivers an optimal capital income tax rate of 7.4 percent, which is significantly lower than what Conesa, Kitao, and Krueger (2009) found.
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    Total factor productivity estimation in Peru: primal and dual approaches
    (Pontificia Universidad Católica del Perú. Departamento de Economía, 2014)
    In this paper we estimate total factor productivity (TFP) growth for the Peruvian economy using the primal and dual methods for the period 2003-2012. According to the primal method, a procedure that uses the Solow residual as an indicator of productivity, TFP grew at an average annual rate of 1.6%, adjusted for the quality and usage of the factors of production. According to the dual method, a procedure that considers estimations of the marginal productivities of the factors of production, TFP grew at an annual rate of 1.7%.
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    Minimum wage and job mobility in Perú
    (Pontificia Universidad Católica del Perú. Departamento de Economía, 2013)
    We study the effects of the minimum wage in over employment and income by considering a monthly database that captures seven minimum wage changes registered between 2002 and 2011. We estimate that about 1 million workers have an income by main occupation in the neighborhood of the minimum wage. We found that the minimum wage-income elasticity is statistically signicant; the evidence also suggests that those who receive low incomes and those working in small businesses are the most affected by increases in the minimum wage. Employment effects are monotonically decreasing in absolute terms by firm size: moderate in big firms and higher in small firms. Results are robust when assessing the job-to-job transitions. Finally, we present evidence that supports the hypothesis that the minimum wage in Peru is correlated with income. The movement of income distribution in the context of changes in the minimum wage as well as the results provided by a model that captures the drivers of income justify this result.