TY - JOUR

T1 - The Analysis of Demand and Supply of Blood in Hospital in Surabaya City Using Panel Data Regression

AU - Muhith, A.

AU - Susanto, I. H.

AU - Rahmalia, D.

AU - Adzkiya, D.

AU - Herlambang, T.

N1 - Publisher Copyright:
© 2022 InforMath Publishing Group/.

PY - 2022

Y1 - 2022

N2 - Blood is a vital component in body health because it distributes oxygen, food, and hormones in the whole body. However, there are some cases such as the lack of blood, accidents, or other diseases when humans need blood transfusions, which depend on the demand and supply of blood in hospitals. In this research, panel data regression is used to analyse the demand and supply of blood in hospitals in Surabaya city. There are three models in panel data regression, namely, common effect (CE), fixed effect (FE), and random effect (RE). In this panel data regression, the number of demands of blood type O, A, B, and AB is the independent variable. In contrast, the blood supply is the dependent variable. First, we will determine the best model, common effect (CE), fixed effect (FE), or random effect (RE), through the Chow test, Hausman test, and Lagrange Multiplier test. From the result, the best model of the quantity of blood supply is fixed effect (FE). Then, the fixed effect (FE) model parameters are tested by using the F-test and T-test for testing the impact of independent variables on the dependent variable and R-squared for finding the proportion of effectiveness of independent variables. According to our simulation results, the R-squared is 0.998, which is very satisfactory.

AB - Blood is a vital component in body health because it distributes oxygen, food, and hormones in the whole body. However, there are some cases such as the lack of blood, accidents, or other diseases when humans need blood transfusions, which depend on the demand and supply of blood in hospitals. In this research, panel data regression is used to analyse the demand and supply of blood in hospitals in Surabaya city. There are three models in panel data regression, namely, common effect (CE), fixed effect (FE), and random effect (RE). In this panel data regression, the number of demands of blood type O, A, B, and AB is the independent variable. In contrast, the blood supply is the dependent variable. First, we will determine the best model, common effect (CE), fixed effect (FE), or random effect (RE), through the Chow test, Hausman test, and Lagrange Multiplier test. From the result, the best model of the quantity of blood supply is fixed effect (FE). Then, the fixed effect (FE) model parameters are tested by using the F-test and T-test for testing the impact of independent variables on the dependent variable and R-squared for finding the proportion of effectiveness of independent variables. According to our simulation results, the R-squared is 0.998, which is very satisfactory.

KW - demand and supply of blood

KW - fixed effect model

KW - panel data regression

KW - statistics

UR - http://www.scopus.com/inward/record.url?scp=85150793260&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:85150793260

SN - 1562-8353

VL - 22

SP - 550

EP - 560

JO - Nonlinear Dynamics and Systems Theory

JF - Nonlinear Dynamics and Systems Theory

IS - 5

ER -