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The Multivariate k-Nearest Neighbor Model for Dependent Variables : One-Sided Estimation and Forecasting


  • Dominique Guegan

    () (CES - Centre d'économie de la Sorbonne - UP1 - Université Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique, PSE - Paris School of Economics)

  • Patrick Rakotomarolahy

    () (CES - Centre d'économie de la Sorbonne - UP1 - Université Panthéon-Sorbonne - CNRS - Centre National de la Recherche Scientifique)


This article gives the asymptotic properties of multivariate k-nearest neighbor regression estimators for dependent variables belonging to Rd, d > 1. The results derived here permit to provide consistent forecasts, and confidence intervals for time series An illustration of the method is given through the estimation of economic indicators used to compute the GDP with the bridge equations. An empirical forecast accuracy comparison is provided by comparing this non-parametric method with a parametric one based on ARIMA modelling that we consider as a benchmark because it is still often used in Central Banks to nowcast and forecast the GDP.

Suggested Citation

  • Dominique Guegan & Patrick Rakotomarolahy, 2009. "The Multivariate k-Nearest Neighbor Model for Dependent Variables : One-Sided Estimation and Forecasting," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00423871, HAL.
  • Handle: RePEc:hal:cesptp:halshs-00423871
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    References listed on IDEAS

    1. Francis Green & Scott M. Montgomery, 1998. "The Quality of Skill Acquisition in Young Workers' First Job," LABOUR, CEIS, vol. 12(3), pages 473-487, September.
    2. Coralie Perez, 2003. "La formation des agents de la Fonction publique au miroir du secteur privé," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00375035, HAL.
    3. Florence Audier, 2000. "La transmission du statut dans la Fonction publique," Économie et Statistique, Programme National Persée, vol. 337(1), pages 121-133.
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    Cited by:

    1. Dominique Guégan & Patrick Rakotomarolahy, 2010. "A Short Note on the Nowcasting and the Forecasting of Euro-area GDP Using Non-Parametric Techniques," Economics Bulletin, AccessEcon, vol. 30(1), pages 508-518.
    2. repec:ebl:ecbull:v:30:y:2010:i:1:p:508-518 is not listed on IDEAS

    More about this item


    euro area; Multivariate k-nearest neighbor; asymptotic normality of the regression; mixing time series; confidence intervals; forecasts; economic indicators; euro area.; Plus proches voisins; normalité asymtotique de la régression; intervalle de confiance; prévisions; indicateurs économiques; zone euro.;

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles


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