PEMODELAN PRODUK DOMESTIK REGIONAL BRUTO (PDRB) PROVINSI JAWA TENGAH DENGAN PENDEKATAN SPASIAL AUTOREGRESSIVE MODEL PANEL DATA
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(*) Corresponding Author
Abstract
Modeling spatial is modeling that deals with approach point and area .While
regression analysis data panel is regression analysis based on data panel to
observe the relation between one variable bound ( dependent variables ) with
one or more variables free ( independent variables). Approach used is the
model spatial autoregressive (SAR). Model spatial autoregresive is a model
combined model regression simple with lag spatial on the variables of
dependent using data cross section . The data used was data gdp and factors
which influence it namely the local revenue, population, and investment 20112015
year Based on Hausman test for the above model SAR is hisq = 0.50389, df = 3, p-value = 0.918. This means that p-value> 0.05 thus, the selected model is SAR
random effects.
Keywords :PDRB, Spatial Panel, Spatial Autoregressive (SAR)
regression analysis data panel is regression analysis based on data panel to
observe the relation between one variable bound ( dependent variables ) with
one or more variables free ( independent variables). Approach used is the
model spatial autoregressive (SAR). Model spatial autoregresive is a model
combined model regression simple with lag spatial on the variables of
dependent using data cross section . The data used was data gdp and factors
which influence it namely the local revenue, population, and investment 20112015
year Based on Hausman test for the above model SAR is hisq = 0.50389, df = 3, p-value = 0.918. This means that p-value> 0.05 thus, the selected model is SAR
random effects.
Keywords :PDRB, Spatial Panel, Spatial Autoregressive (SAR)
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