I use a dynamic microsimulation model to analyse the distributional effects of an expansion of education in Côte d'Ivoire in the medium and long term. The simulations are performed in order to replicate several policies in force or subject to debate in this country. Various hypotheses...

Microsimulation models to study the fiscal impact and the development of micro-founded indicators on enterprise performance require a great deal of information. This is normally scattered in various statistical surveys and administrative sources. Each different data source is conceived to serve...

This paper builds on Kočenda (2001) and extends it in two ways. First, two new intervals of the proximity parameter ε (over which the correlation integral is calculated) are specified. For these ε- ranges new critical values for various lengths of the data sets are introduced and through...

This paper investigates the properties of Dickey-Fuller tests for seasonally unadjusted quarterly data when deterministic seasonality is present but it is neglected in the test regression. While for the random walk case the answer is straightforward, an extensive Monte Carlo study has to be...

The conditions under which ordinary least squares (OLS) is an unbiased and consistent estimator of the linear probability model (LPM) are unlikely to hold in many instances. Yet the LPM still may be the correct model or, perhaps, justified for practical reasons. A sequential least squares (SLS)...