A Simple Method to Visualize Results in Nonlinear Regression Models
AbstractA 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.
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Bibliographic InfoPaper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number 6781.
Length: 11 pages
Date of creation: Aug 2012
Date of revision:
Publication status: published in: Economics Letters, 2012, 117 (3), 578-581
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Other versions of this item:
- Henderson, Daniel J. & Kumbhakar, Subal C. & Parmeter, Christopher F., 2012. "A simple method to visualize results in nonlinear regression models," Economics Letters, Elsevier, vol. 117(3), pages 578-581.
- Daniel J. Henderson & Subal C. Kumbhakar & Christopher F. Parmeter, 2012. "A simple method to visualize results in nonlinear regression models," Working Papers 2012-4, University of Miami, Department of Economics.
- C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
- C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
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- Constantina Kottaridi & Thanasis Stengos, 2008.
"Foreign Direct Investment, human capital and non-linearities in economic growth,"
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- Kaul, Sapna & Boyle, Kevin J. & Kuminoff, Nicolai V. & Parmeter, Christopher F. & Pope, Jaren C., 2013. "What can we learn from benefit transfer errors? Evidence from 20 years of research on convergent validity," Journal of Environmental Economics and Management, Elsevier, vol. 66(1), pages 90-104.
- Bhaumik, Sumon K. & Dimova, Ralitza & Kumbhakar, Subal C. & Sun, Kai, 2014. "More Is Better! What Can Firm-Specific Estimates of the Impact of Institutional Quality on Performance Tell Us?," IZA Discussion Papers 7886, Institute for the Study of Labor (IZA).
- Henderson, Daniel J. & Maasoumi, Esfandiar, 2012. "Searching for Rehabilitation in Nonparametric Regression Models with Exogenous Treatment Assignment," IZA Discussion Papers 6874, Institute for the Study of Labor (IZA).
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