nep-cmp New Economics Papers
on Computational Economics
Issue of 2005‒10‒08
four papers chosen by
Stan Miles
York University

  1. Computation of Multiple Correspondence Analysis, with code in R By Michael Greenacre; Oleg Nenadic
  2. SIMULATING THE EFFECTS OF THE EUROPEAN SINGLE MARKET: A CGE ANALYSIS FOR SPAIN By Oscar Bajo; Antonio Gómez
  3. Wavelet based Multi-grid analysis, Wavelet Galerkin method and their Applications to American option: A Survey By Ken-ichi Mitsui; Yoshio Tabata
  4. DEPTH-BASED CLASSIFICATION FOR FUNCTIONAL DATA By Sara Lopez-Pintado; Juan Romo

  1. By: Michael Greenacre; Oleg Nenadic
    Abstract: The generalization of simple correspondence analysis, for two categorical variables, to multiple correspondence analysis where they may be three or more variables, is not straighforward, both from a mathematical and computational point of view. In this paper we detail the exact computational steps involved in performing a multiple correspondence analysis, including the special aspects of adjusting the principal inertias to correct the percentages of inertia, supplementary points and subset analysis. Furthermore, we give the algorithm for joint correspondence analysis where the cross-tabulations of all unique pairs of variables are analysed jointly. The code in the R language for every step of the computations is given, as well as the results of each computation.
    Keywords: Adjustment of principal inertias, Burt matrix, correspondence analysis, multiple correspondence analysis, R language, singular value decomposition, subset analysis
    JEL: C19 C88
    Date: 2005–09
    URL: http://d.repec.org/n?u=RePEc:upf:upfgen:887&r=cmp
  2. By: Oscar Bajo; Antonio Gómez (Departamento de Economía-UPNA)
    Abstract: In this paper we provide an empirical assessment of two of the measures proposed in the context of the European Single Market, namely, easing the provision of domestic and foreign services, and modifying the rules of public procurement, for the case of Spain. We build and simulate a computable general equilibrium (CGE) model, which incorporates three particular features: (i) increasing returns to scale and a noncompetitive price rule; (ii) sectoral export demand functions; and (iii) equilibrium unemployment according to a matching function approach.
    Keywords: Computable general equilibrium, European Single Market, Spanish economy
    JEL: D58 F15 F17
    Date: 2005
    URL: http://d.repec.org/n?u=RePEc:nav:ecupna:0503&r=cmp
  3. By: Ken-ichi Mitsui (Graduate School of Economics, Osaka University); Yoshio Tabata (Graduate School of Economics, Osaka University)
    Abstract: This paper surveys the literatures on numerical methods from its origins to present to evaluate American-style claims. An extensive review of numerical meth- ods is provided. In particular, emphases is placed on recent trends and developments in the multi-grid and Galerkin method with the Wavelet basis for American option. Mainly, this paper considers two wavelet based numerical methods. One is that the wavelet basis is used in the restriction and the prolongation in terms of the multi- grid method. The other is the discretization of the components of the Dirichlet problem and the test function in the Galerkin formulation. For the applications of their methods to American option, there are some papers by using the Wavelet Galerkin method with the fixed point iteration method. The multi-grid method without using the Wavelet basis is also used in the American option. It, however, seems that there are not enough studies which are applied to the pricing of Ameri- can options with the wavelet basis.
    Keywords: American option, multi-grid methods, wavelet analysis, multiresolution analysis.
    JEL: C63 G13
    Date: 2005–10
    URL: http://d.repec.org/n?u=RePEc:osk:wpaper:0526&r=cmp
  4. By: Sara Lopez-Pintado; Juan Romo
    Abstract: Classification is an important task when data are curves. Recently, the notion of statistical depth has been extended to deal with functional observations. In this paper, we propose robust procedures based on the concept of depth to classify curves. These techniques are applied to a real data example. An extensive simulation study with contaminated models illustrates the good robustness properties of these depth-based classification methods.
    Date: 2005–10
    URL: http://d.repec.org/n?u=RePEc:cte:wsrepe:ws055611&r=cmp

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