We deal with the issue of testing the specification of a regression function. As a leading case, we consider testing for a pure noise model. We study the smallest local alternatives that can be detected asymptotically in a minimax sense. We propose a simple testing procedure that has asymptotic...

A general framework is proposed for (auto) regression non-parametric estimation of recurrent time series in a class of Hilbert Markov processes with a Lipschitz conditional mean. This includes various non-stationarities by relaxing usual dependence assumptions as mixing or ergodicity, which are...

This paper derives the rate and the asymptotic distribution of the MLE of the parameter of a logit model with a nonstationary covariate when the true parameter is zero. The limit distribution of the t-statistic is also given

This paper studies a semiparametric nonstationary binary choice model. Imposing a spherical normalization constraint on the parameter for identification purpose, we find that the MSE and SMSE are at least sqrt(n)-consistent. Comparing this rate to the parametric MLE's convergence rate, we show...