Optimality and bias of some interpolation and extrapolation designs

We consider interpolation and extrapolation designs with controlled bias. A consistent estimate of an upper bound of the bias is presented. The estimate of some extrapolated value is obtained in a two-stage procedure. The first one provides an estimate of some interpolated value. The second one uses a Taylor expansion around this point. This procedure yields a new type of designs. We discuss their optimality properties with respect to the variance and the bias.     

Exact testing in multivariate regression

An F statistic due to Rao (1951,1973) tests uniform mixed linear restrictions in the multivariateregression model. In combination with a generalization of the Bera-Evans-Savin exact functional relationship between the W, LR, and LM statistics, Rao's F serves to unify a number of exact test procedures commonly applied in disparate empirical literatures. Examples in demand analysis and asset pricing are provided. The availability of exact tests of restrictions in certain nonlinear models when the model is linear under the null, originally explored by Milliken-Graybill (1970), is extended to multivariate regression. Generalized RESET, J-, and Hausman-Wu tests are resented. As an extension of Dufour (1989), bounds tests exist for nonlinear and inequality restrictions. Applications include conservative bound tests for symmetry or negativity of the substitution matrix in demand systems.     

Exploratory planning in an electronics corporation

This paper describes the approach taken by a French-based company is forecasting the future. The author indicates the difference between the approach of his company and other methods, and illustrates a multifunctional approach to inventing futures.     

The environment as a determinant of child mortality among migrants in frontier areas of Pará and RondÔnia, Brazil, 1980

This article examines child mortality as an indicator of the quality of life among migrants living in Brazilian Amazonia in 1980. I focus on migrants in the frontier states of Pará and RondÔnia, which experienced rapid settlement during the 1970s. The key question here is the effect of settlement location on child mortality rates. While RondÔnia had lower ratios of population per public health establishments and personnel than Pará, RondÔnia nonetheless exhibited a higher malaria prevalence in 1980. I therefore attribute locational differences in child mortality to environmental factors important to malaria transmission rather than to health care infrastructure. The findings from multivariate regression analysis show that net of the effects of human capital, migration history and migrant living standards, settling in Pará rather than RondÔnia resulted in significantly lower rates of child mortality. These findings suggest that environmental factors coinciding with location of frontier settlement had important consequences for the living standards of migrants in the Brazilian Amazon.