Subscribe Now Subscribe Today
Science Alert
 
FOLLOW US:     Facebook     Twitter
Blue
   
Curve Top
Trends in Agricultural Economics
  Year: 2009 | Volume: 2 | Issue: 1 | Page No.: 17-27
DOI: 10.3923/tae.2009.17.27
Spline Functions: Assessing their Forecasting Consistency with Changes in the Type of Model and Choice of Joint Points
J.N. Nmadu, E.S. Yisa and U.S. Mohammed

Abstract:
The possibility of the type of spline function and joint points selected affecting the consistency of the ex-post and ex-ante forecasts were tested using cereal production (1961-2006) and percent contribution of agriculture to GDP (1961-2004) in Nigeria. Three types of model, that is, Linear-Quadratic-Linear, Quadratic-Quadratic-Linear and Linear-Quadratic-Quadratic, were used. The result indicated that there is no universality as to which model is appropriate, rather all possible models should be tried and the one that gives most consistent result when compared to observed data and other factors should be used.
PDF Fulltext XML References Citation Report Citation
 RELATED ARTICLES:
  •    Spline and Overlap Techniques for Analyzing SLR Data
How to cite this article:

J.N. Nmadu, E.S. Yisa and U.S. Mohammed, 2009. Spline Functions: Assessing their Forecasting Consistency with Changes in the Type of Model and Choice of Joint Points. Trends in Agricultural Economics, 2: 17-27.

DOI: 10.3923/tae.2009.17.27

URL: https://scialert.net/abstract/?doi=tae.2009.17.27

 
COMMENT ON THIS PAPER
 
 
 

 

 
 
 
 
 
 
 
 
 

 
 
 
 
 

       

       

Curve Bottom