Comparison Between the Kernel Functions Used in Estimating the Fuzzy Regression Discontinuous Model

Mohammad  Jasim Mohammad; Sajad Sammer Abd Al-Razzaq

doi:10.51173/jt.v5i1.1080

Authors

Mohammad Jasim Mohammad Department of Statistics, College of Administration & Economics, University of Baghdad, Iraq
Sajad Sammer Abd Al-Razzaq Department of Statistics, College of Administration & Economics, University of Baghdad, Iraq

DOI:

https://doi.org/10.51173/jt.v5i1.1080

Keywords:

Fuzzy Regression Discontinuity, Robust Local Polynomial Regression Estimators, method Mean Squared Error Approximation and Optimal Bandwidth, Monte Carlo experiment

Abstract

Some experiments need to know the extent of their usefulness to continue providing them or not. This is done through the fuzzy regression discontinuous model, where the Epanechnikov Kernel and Triangular Kernel were used to estimate the model by generating data from the Monte Carlo experiment and comparing the results obtained. It was found that the. Epanechnikov Kernel has a least mean squared error.

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