Fan, Heckman and Wand (1995) proposed locally weighted kernel polynomial regression methods for generalized linear models and quasilikelihood functions. When the covariate variables are missing at random, we propose a weighted estimator based on the inverse selection probability weights....

The quadratic form of policy makers' loss function has gained a wide consensus in monetary policy analysis mainly because of its analytical tractability. A number of researchers, however, have recently proposed alternative functional forms which have also proved to yield tractable solutions of...

A formal test on the Lyapunov exponent is developed to distinguish a random walk model from a chaotic system. The test is based on the Nadaraya-Watson kernel estimate of the Lyapunov exponent. We show that the estimator is consistent: The estimated Lyapunov exponent converges to zero under the...