This paper uses linear and non-linear diffusion index models and combination of them to produce one-step-ahead forecast of quarterly Brazilian GDP growth rate. The non-linear diffusion index models are not only parsimonious ones, but they also purport to describe economic cycles through a...

The objective of this paper is to evaluate the effect of the 1985 “Employment Services for Ex-Offenders†(ESEO) program on recidivism. Initially, the sample has been split randomly in a control group and a treatment group. However, the actual treatment (mainly being job related...

In this paper we propose consistent integrated conditional moment tests for the validity of parametric conditional distribution models, based on the integrated squared difference between the empirical characteristic function of the actual data and the characteristic function implied by the...

The papers collected in the two volumes Nonlinear Models focus on the asymptotic theory of parameter estimators of nonlinear single equation models and systems of nonlinear models, in particular weak and strong consistency, asymptotic normality, and parameter inference, for cross-sections as...

In this paper we propose a consistent test of the linearity of quantile regression models, similar to the Integrated Conditional Moment (ICM) test of Bierens (1982) and Bierens and Ploberger (1997). This test requires re-estimation of the quantile regression model by minimizing the ICM test...

In this article, the authors show that a generalized version of H. J. Bierens' integrated conditional moment (ICM) test of functional form has nontrivial root-n local power, where n is the sample size, and that for a class of large local alternatives the consistent ICM test is more powerful than...

In this paper, it will be shown that if we condition a <italic>k</italic>-variate rational-valued time series process on its entire past, it is possible to capture all relevant information on the past of the process by a single random variable. This scalar random variable can be formed as an autoregressive...