Study on Rural Residents Income Growth Based on Quasi-Stepwise Regression Model

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 225)

Abstract

To analyze rural residents’ income growth in Heilongjiang province, the “quasi-stepwise regression” variable selection method is proposed. This method is based on the regression estimate of minimum sum of absolute errors. In its application to rural resident revenue forecast, household business revenue model and wage revenue model are established. The total relative error of the fitted model is about 8 %. According to these models, factors affecting rural resident revenue are analyzed, and some proposals are given for the increase of rural resident revenue.

Keywords

Absolute error Quasi-stepwise regression Variable selection Rural resident revenue 

References

  1. 1.
    Yu K, Jones MC (1998) Local linear quintile regression. J Am Stat Assoc 9(3):228–237MathSciNetCrossRefGoogle Scholar
  2. 2.
    Freedman DA (1983) A notes on screening regression equations. Am Stat 3(7):152–155Google Scholar
  3. 3.
    Perkins DH (2005) Economic of development, vol 8, issue 4, 5th edn. Renmin University of China Press, Beijing, pp 12–19Google Scholar
  4. 4.
    Oh JW (2009) Development of pollen concentration prediction models. J Korean Med Assoc 5(2):579–591Google Scholar
  5. 5.
    DN Gujarati (2005) Basic econometrics, vol 9, issue 4, 3rd edn. Renmin University of China Press, Beijing, pp 23–28Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Heilongjiang Institute of Science and TechnologyHaerbinChina

Personalised recommendations