In this article we show that the Gini coefficient is simultaneously decomposable both by sources of income and by populations of income receivers for non-overlapping income distributions: the so-called first-best Gini multi-decomposition. We show that this multidimensional decomposition is...

This paper studies the finite sample performance of the sieve bootstrap augmented Dickey-Fuller (ADF) unit root test. It is well known that this test’s accuracy in terms of rejection probability under the null depends greatly on the underlying DGP. Through extensive simulations, we find that...

In this article we show that the Gini coefficient is simultaneously decomposable both by sources of income and by populations of income receivers for non-overlapping income distributions: the so-called first-best Gini multi-decomposition. We show that this multidimensional decomposition is...

The economic literature has been investigating the positive relation between public infrastructure spending and the productivity of the private sector since Munnell (1992). We have introduced this relationship into a recursive dynamic computable general equilibrium model of the Quebec economy to...

We consider the issue of income distribution modeling in the context of poverty analysis impact based on computable general equilibrium micro-simulation models. The empirical distribution function (EDF) is by far the most commonly used estimator in practice. It is, however, not the only...

We propose to use the analytical generalised least squares (GLS) transformation matrix of Galbraith and Zinde-Walsh (1992) to correct finite sample estimation error of MA(q) processes parameters estimates. Our method may be considered as an iteration of the analytical indirect inference...

In 2010 the Patient Protection and Affordable Care Act boosted the expansion of community health centers (CHCs) with $11 billion in mandatory funding from 2011 to 2015. This study used data from the Medical Expenditure Panel Survey (MEPS) and the North Carolina Behavioral Risk Factor...