Maximization of utility implies that consumer demand systems have a Slutsky matrix which is everywhere symmetric. However, previous non- and semi-parametric approaches to the estimation of consumer demand systems do not give estimators that are restricted to satisfy this condition, nor do they...

Homogeneity of degree zero has often been rejected in empirical studies that employ parametric models. This paper proposes a test for homogeneity that does not depend on the correct specification of the functional form of the empirical model. The test statistic we propose is based on kernel...

In this article we derive necessary and sufficient conditions for the nonnegativity of the conditional variance in the fractionally integrated generalized autoregressive conditional heteroskedastic (p, d, q) (FIGARCH) model of the order p d 2 and sufficient conditions for the general model....

Testing for parametric structure is an important issue in non-parametric regression analysis. A standard approach is to measure the distance between a parametric and a non-parametric fit with a squared deviation measure. These tests inherit the curse of dimensionality from the non-parametric...

In this article we derive necessary and sufficient conditions for the nonnegativity of the conditional variance in the fractionally integrated generalized autoregressive conditional heteroskedastic (p, d, q) (FIGARCH) model of the order p ≤ 2 and sufficient conditions for the general model....