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A short introduction to splines in least squares regression analysis

Kagerer, Kathrin (2013) A short introduction to splines in least squares regression analysis. Regensburger Diskussionsbeiträge zur Wirtschaftswissenschaft 472, Working Paper, University of Regensburg, Faculty of Business, Economics and Management Information Systems, Regensburg.

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Splines are an attractive way of flexibly modeling a regression curve since their basis functions can be included like ordinary covariates in regression settings. An overview of least squares regression using splines is presented including many graphical illustrations and comprehensive examples. Starting from two bases that are widely used for constructing splines, three different variants of ...


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Item type:Monograph (Working Paper)
Series of the University of Regensburg:Regensburger Diskussionsbeiträge zur Wirtschaftswissenschaft
Date:28 March 2013
Institutions:Business, Economics and Information Systems > Institut für Volkswirtschaftslehre und Ökonometrie > Lehrstuhl für Ökonometrie (Prof. Dr. Rolf Tschernig)
Identification Number:
RePEc:bay:rdwiwi:27968RePEc Handle
C14Journal of Economics Literature Classification
C51Journal of Economics Literature Classification
Keywords:B-spline, truncated power basis, derivative, monotonicity, penalty, smoothing spline, R
Dewey Decimal Classification:300 Social sciences > 330 Economics
Refereed:No, this version has not been refereed yet (as with preprints)
Created at the University of Regensburg:Yes
Item ID:27968
Owner only: item control page


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