A Simple Method to Visualize Results in Nonlinear Regression Models
11 Pages Posted: 6 Oct 2012
Abstract
A simple graphical approach to presenting results from nonlinear regression models is described. In the face of multiple covariates, 'partial mean' plots may be unattractive. The approach here is portable to a variety of settings and can be tailored to the specific application at hand. A simple four variable nonparametric regression example is provided to illustrate the technique.
Keywords: mean plots, nonlinear, kernel smoothing, dimensionality, gradient estimation, least squares cross validation
JEL Classification: C1, C13, C14
Suggested Citation: Suggested Citation
Do you have negative results from your research you’d like to share?
Recommended Papers
-
Space and Growth: A Survey of Empirical Evidence and Methods
By Maria Abreu, Henri L. F. De Groot, ...
-
Spatial Growth Regressions: Model Specification, Estimation and Interpretation
-
Using Spatial Panel Data in Modelling Regional Growth and Convergence
By Giuseppe Arbia, Roberto Basile, ...
-
Convergence in Pre-Capita GDP Across European Regions: A Reappraisal
-
The Impact of Human Capital on Regional Labor Productivity in Europe
By Manfred M. Fischer, Monika Bartkowska, ...
-
By Giuseppe Arbia and Gianfranco Piras
-
Semi-Parametric Spatial Auto-Covariance Models of Regional Growth Behaviour in Europe
By Roberto Basile and Bernard Gress
-
Innovation Networks and Knowledge Flows Across the European Regions
By Raffaele Paci and Ernesto Batteta
-
The Terciarization of Regional Economic Structures in Colombia
-
Analysing Convergence through the Distribution Dynamics Approach: Why and How?