- International Merchandise Trade Statistics (IMTS) recommends to use a free on board (FOB) valuation for exports and cost,
insurance, and freight (CIF) valuation for imports. CIF is a sum of FOB, freight, and insurance value of imported goods. IMTS suggests
countries that record import value on CIF to have an additional method to decompose CIF into FOB, freight, and insurance value. FOB,
insurance, and freight fraction follow multivariate fractional model. The model is to give prediction value of three CIF components
fraction. Based on MAPE and RMSEP value, mode of transport, transit status, and group of two digit HS code are three covariates that
the best precision of the predicted value.
Published In:IJCSN Journal Volume 6, Issue 6
Date of Publication : December 2017
Pages : 820-825
Figures :06
Tables : 06
Mardiah : currently pursuing masters degree program in Applied
Statistics in Bogor Agricultural University, Indonesia. Attained
bachelor degree from STIS Jakarta in 2008.
Asep Saefuddin : is lecturer at Department of Statistics , Bogor
Agricul-tural University, Indonesia. His main interest is in
Geoinformatics, Spatial Analysis, Statistical Modeling.
Indahwati : is lecturer at Department of Statistics , Bogor Agricultural
University, Indonesia. Her main interest is in Statistical
Modelling, Sampling Design and Methodology.
CIF value decomposition, Modeling Fractional Outcomes, Quasi Maximum Likelihood
Based on the model there are three factors (covariates)
which provides the lowest MAPE and RMSEP. These
factors are mode of transportation, transit status, and group
of two digit HS code.
[1] [DJBC] Direktorat Jenderal Bea dan Cukai Kementerian
Keuangan Republik Indonesia, Buku Tarif Kepabeanan
Indonesia, Jakarta (ID): Direktorat Jenderal Bea dan
Cukai Kementerian Keuangan Republik Indonesia, 2012.
[2] Horas RM, Basnou C, and Pino J "A multivariate
fractional regression approach to modeling land use and
cover dynamics in a Mediterranean landscpae",
Computers, Environment, and Urban Systems, Vol. 54,
2015, pp. 47-55.
[3] Kieschnick R, and McCullough BD, “Regression
Analysis of Variates Observed on (0,1): Percentage,
Proportions, and Fractions” [SMIJ] Statistical Modelling:
An International Journal, vol. 3, 2003, pp. 193-213.
[4] Liu W, and Xin J, “Modelling Fractional Outcomes with
SAS”, paper 1304, 2014.
[5] Papke LE, and Woolridge JM, “Econometric Methods
For Fractional Response Variables WithAn Application
To 401 (K) Plan Participation Rates”, [JAE] Journal of
Applied Econometrics, Vol.11, 1996, pp. 619-632.
[6] Swearingen CJ, Castro MSM, amd Bursac Z,
“Modelling Percentage Outcomes: The Beta Regression
Macro”, paper 335, 2011.
[7] [UNSD] United Nations Statistics Division (USA),
Manual on Statistics of Internaional Trade of Services
2010, New York (USA): United Nations Publications,
2011.