APLIKASI REGRESI DATA PANEL DENGAN PENDEKATAN FIXED EFFECT MODEL (STUDI KASUS: PT PLN GIANYAR)

  • NI PUTU ANIK MAS RATNASARI Faculty of Mathematics and Natural Sciences, Udayana University
  • I PUTU EKA NILA KENCANA Faculty of Mathematics and Natural Sciences, Udayana University
  • G.K. GANDHIADI Faculty of Mathematics and Natural Sciences, Udayana University

Abstract

Panel data regression has three approaches. One of these approaches is Fixed Effect Model (FEM). FEM is common estimated using Least Square Dummy Variable. The use of dummy variable in FEM is based on assumption that slope coefficients are constant but intercept varies over individuals. One of application of FEM is to find out motivation of employees at PT PLN Gianyar for non-outsourcing and outsourcing employees based on existence, relatedness, and growth. This research yields the following two models:

with 67% motivation non-outsourcing employees represented by existenceand73% motivation non-outsourcing employees represented by existence and growth.

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Author Biographies

NI PUTU ANIK MAS RATNASARI, Faculty of Mathematics and Natural Sciences, Udayana University

Mahasisswa Jurusan Matematika FMIPA Universitas Udayana, Bukit Jimbaran-Bali

I PUTU EKA NILA KENCANA, Faculty of Mathematics and Natural Sciences, Udayana University

Staf pengajar Jurusan Matematika FMIPA Universitas Udayana, Bukit Jimbaran-Bali

G.K. GANDHIADI, Faculty of Mathematics and Natural Sciences, Udayana University

Staf Pengajar Jurusan Matematika FMIPA Universitas Udayana, Bukit Jimbaran-Bali

Published
2014-01-31
How to Cite
RATNASARI, NI PUTU ANIK MAS; KENCANA, I PUTU EKA NILA; GANDHIADI, G.K.. APLIKASI REGRESI DATA PANEL DENGAN PENDEKATAN FIXED EFFECT MODEL (STUDI KASUS: PT PLN GIANYAR). E-Jurnal Matematika, [S.l.], v. 3, n. 1, p. 1 - 7, jan. 2014. ISSN 2303-1751. Available at: <https://ojs.unud.ac.id/index.php/mtk/article/view/9599>. Date accessed: 06 july 2020. doi: https://doi.org/10.24843/MTK.2014.v03.i01.p059.
Section
Articles

Keywords

Panel Data Regression; Fixed Effect Model; Motivation

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