Carlos Santos

Prof. Dr. Carlos Santos

Department of Business Sciences, University of Maia, Maia, Porto, Portugal
orcid
Associate Professor with Habilitation at University of Maia ...

Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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4 April 2008 in Computational Statistics
Verified
Journal Article
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David HendryDavid Hendry
David Hendry
SJSøren Johansen
Søren Johansen
Carlos SantosCarlos Santos
Carlos Santos

6 April 2007 in Computational Statistics
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Journal Article
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Carlos SantosCarlos Santos
Carlos Santos
David HendryDavid Hendry
David Hendry
SJSøren Johnasen
Søren Johnasen

1 March 2010
Verified
Book Chapter
Closed access
DHDavid F. Hendry
David F. Hendry
Carlos SantosCarlos Santos
Carlos Santos
This chapter proposes a test for ‘super exogeneity’, a concept originally developed by Rob, David, and Jean-Francois Richard. The structure of the chapter is as follows. Section 2 reconsiders which shifts in vector autoregressions (VARs) are relatively detectable, and derives the implications for testing for breaks in conditional representations. Section 3 considers super exogeneity in a regression context in order to elucidate its testable hypotheses, and discusses how super exogeneity can fail. Section 4 describes the impulse-saturation tests in Hendry et al. (2008) and Johansen and Nielsen (2009), and considers how to extend these to test super exogeneity. Section 5 provides analytic and Monte Carlo evidence on the null rejection frequencies of that procedure. Section 6 considers the power of the first stage to determine location shifts in marginal processes. Section 7 analyzes a failure of weak exogeneity under a nonconstant marginal process. Section 8 notes a co-breaking saturation-based test which builds on Krolzig and Toro (2002) and Hendry and Massmann (2007). Section 9 investigates the powers of the proposed automatic test in Monte Carlo experiments for a bivariate data generation process based on Section 7. Section 10 tests super exogeneity in the much-studied example of UK money demand; and Section 11 concludes.

10 May 2005 in Applied Economics
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Journal Article
Closed access
MOMaria Alberta Oliveira
Maria Alberta Oliveira
Carlos SantosCarlos Santos
Carlos Santos
This study explores a new data set that contains information both on inputs and outputs for a sample of Portuguese secondary schools. An FDH reference technology is used to determine radial technical efficiency scores and slacks. Although it is known that there is no reason to assume convexity in the study of education efficiency frontiers, this is the first study ever to use FDH at the school level, effectively relaxing the convexity assumption. A two–stage approach is used, whereby the significant environmental variables that explain FDH efficiency scores and slacks are identified. For the purpose of statistical inference, the first application of the bootstrapping algorithms suggested by Simar and Wilson ( 2003 Simar, L and Wilson, PW . 2000. A general methodology for bootstrapping in nonparametric frontier models. Journal of Applied Statistics, 27: 779–802. ) is conducted. The study concludes that the unemployment rate, access to health care services, adult education and living infrastructures are determinants of school efficiency. The differences between the coast and the interior of Portugal seem to be more relevant, as far as school efficiency is concerned, than whether or not the school belongs to one of the major coast metropolitan areas.

27 September 2005 in Oxford Bulletin of Economics and Statistics
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Journal Article
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David HendryDavid Hendry
David Hendry
Carlos SantosCarlos Santos
Carlos Santos

1 February 2008 in Economics Letters
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Journal Article
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Carlos SantosCarlos Santos
Carlos Santos