Cash-cum-in-kind transfers and income tax function

This paper investigates income tax revenues response to tax rate changes taking into consideration that cash-cum-in-kind transfers are used as a redistributive package to the community. First, we show that when cash and in-kind transfers are not tied to be substitute instruments, a marginal income tax increase may unambiguously decrease the quantity supplied of labor (and tax revenues therein). Next, we show that whenever the government chooses the optimum provision for the publicly provided good the tax revenue function has a negatively-sloped part with respect to tax rates except for one case. Last, we consider Brazilian data - PNAD - from 1976 to 2008 to test our theoretical implications. Our estimations suggest a weak evidence in favor of the existence of a La er-type curve for Brazilian income tax revenues data. Moreover, wend that the actual average income tax rate seems to be below the estimated optimum level. In a shorter sample from 1996-1999, we nd evidence that labor supply decreases with tax rate when cash and in-kind transfers are in play. Using a pseudo-panel from the same shorter sample, we try to estimate the elasticity of taxable income, following Creedy and Gemmell (2012) and Saez et al. (2009). We explore a small tax reform between 1997 and 1998 that a ected only the higher income tax bracket, and evidence that Brazil is on the revenue reducing side of the La er Curve, at least for individuals in the higher income tax bracket.

A critical value function approach, with an application to persistent time-series

Researchers often rely on the t-statistic to make inference on parameters in statistical models. It is common practice to obtain critical values by simulation techniques. This paper proposes a novel numerical method to obtain an approximately similar test. This test rejects the null hypothesis when the test statistic islarger than a critical value function (CVF) of the data. We illustrate this procedure when regressors are highly persistent, a case in which commonly-used simulation methods encounter dificulties controlling size uniformly. Our approach works satisfactorily, controls size, and yields a test which outperforms the two other known similar tests.