Semiparametric estimation of information technology diffusion models: A study based on portuguese firm-level data

Maria F.O. Martins; Tiago Oliveira

doi:10.1080/01966324.2010.10737788

Semiparametric estimation of information technology diffusion models: A study based on portuguese firm-level data

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Abstract

This paper applies both parametric and semiparametric methods to the estimation of an Information Technologies (IT) Diffusion Model for Portuguese firms. The semiparametric estimator used is the one proposed by Klein, and Spady (1993). Specification tests based on the findings of Horowitz and Härdle (1994), Fan, and Liu (1997) and Aït-Sahalia, Bickel, and Stoker (2001) are employed to verify the goodness of fit of the parametric model. We find that both approaches yield similar results and specification tests reveal that the estimated parametric model fits the data reasonably well and can therefore be used for policy purposes.

Original language	English
Pages (from-to)	257-283
Number of pages	27
Journal	American Journal Of Mathematical And Management Sciences
Volume	30
Issue number	3-4
DOIs	https://doi.org/10.1080/01966324.2010.10737788
Publication status	Published - 1 Jan 2010

Keywords

Diffusion models
Information technologies
Kernel regression
Semi parametric
Single-index models

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abstract = "This paper applies both parametric and semiparametric methods to the estimation of an Information Technologies (IT) Diffusion Model for Portuguese firms. The semiparametric estimator used is the one proposed by Klein, and Spady (1993). Specification tests based on the findings of Horowitz and H{\"a}rdle (1994), Fan, and Liu (1997) and A{\"i}t-Sahalia, Bickel, and Stoker (2001) are employed to verify the goodness of fit of the parametric model. We find that both approaches yield similar results and specification tests reveal that the estimated parametric model fits the data reasonably well and can therefore be used for policy purposes.",

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