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Author: Carlos Velasco

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Econometrics Paper

Efficient Inference on Fractionally Integrated Panel Data Models with Fixed Effects

Peter M Robinson and Carlos Velasco

A dynamic panel data model is considered that contains possibly stochastic individual components and a common fractional stochastic time trend. We propose four different ways of coping with the individual effects so as t...Read more...

20 November 2013

Econometrics Paper

Distribution Free Goodness-of-Fit Tests for Linear Processes

Miguel A. Delgado, Javier Hidalgo and Carlos Velasco

This article proposes a class of goodness-of-fit tests for the autocorrelation function of a time series process, including those exhibiting long-range dependence. Test statistics for composite hypotheses are functionals...Read more...

January 2005

Econometrics Paper

Whittle Pseudo-Maximum Likelihood Estimation for Nonstationary Time Series - (Now published in 'Journal of the American Statistical Association', 95, (2000), pp.1229-1243.)

Peter M Robinson and Carlos Velasco

Whittle pseudo-maximum likelihood estimates of parameters for stationary time series have been found to be consistent and asumptotically normal in the presence of long-range dependence. Generalizing the definition of the...Read more...

May 2000

Econometrics Paper

Edgeworth Expansions for Spectral Density Estimates and Studentized Sample Mean - (Now published in 'Economic Theory', 17 (2001), pp.497-539.

Peter M Robinson and Carlos Velasco

We establish valid Edgeworth expansions for the distribution of smoothed nonparametric spectral estimates, and of studentized versions of linear statistics such as the same mean, where the studentization employs such a n...Read more...

May 2000

Econometrics Paper

Autocorrelation-Robust Inference - (Now published in 'Handbook of Statistics', vol.15, G S Maddala and C R Rao (eds), Elsevier Science Publishers BV (1997), pp.267-298.)

Peter M Robinson and Carlos Velasco

We consider statistical inference in the presence of serial dependence. The main focus is on use of statistics that are constructed as if no dependence were believed present, and are asymptotically normal in the presence...Read more...

December 1996