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Use of Shape Restricted Regression Methods for Fitting Model of Per Capita GDP: A Global Economic Scenario of 2018

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  • Sanjida Tasnim

Abstract

The aim of the study is to analyze the pattern of Gross domestic product (GDP) according to Human development index (HDI) for 184 countries of the world. GDP per capita indicates only economic prosperity but not the overall development of the citizens of a country. This research tries to find out the beneath relationship of the financial state and human development of countries using the data of 2018. For demonstrating this analysis several parametric and non-parametric regression methods subject to shape restriction have been used. The study targets to shed light on comparative performance of shape constrained regression with cone projection, polynomial regression, LOESS, Istonic regression with pooled adjacent violators algorithm, Kernel regression, smoothing spline and generalized additive model in convex situation.

Suggested Citation

  • Sanjida Tasnim, 2021. "Use of Shape Restricted Regression Methods for Fitting Model of Per Capita GDP: A Global Economic Scenario of 2018," International Journal of Statistics and Probability, Canadian Center of Science and Education, vol. 10(4), pages 1-52, July.
    • Handle: RePEc:ibn:ijspjl:v:10:y:2021:i:4:p:52
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    References listed on IDEAS

    as
    1. Mary C. Meyer, 2013. "Semi-parametric additive constrained regression," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 25(3), pages 715-730, September.
    2. Liao, Xiyue & Meyer, Mary C., 2014. "coneproj: An R Package for the Primal or Dual Cone Projections with Routines for Constrained Regression," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 61(i12).
    Full references (including those not matched with items on IDEAS)

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    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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