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CPS2084 Siti Aisyah Mohd Padzil et al.
               paper  will  be  focusing  on  obtaining  the  relationship  between  household
               characteristic  and  state  with  poverty  to  examine  whether  or  not  it  effects
               among Malaysian’s household poverty.
                   To highlight the causes of household poverty, this paper will provide a
               study on household income data and uses two modelling methods which are
               Model Averaging and Alternative Model Averaging. Model Averaging is a well-
               known  statistical  modelling  approach  which  aims  to  solve  issues  of  MS
               regarding  underestimation  of  parameter  estimates.  MA  decreases  the
               estimates of a weaker variables by averaging weights of all possible model. In
               other  word,  MA  helps  in  making  inferences  based  on  the  entire  set  of
               candidate models (Posada and Buckley, 2004). Since MA will give best model
               that includes all variables being studied, AMA is applied to shows a different
               modelling approach. AMA approach is build based on MA approach except
               for elimination of insignificant variables in the final model.

               2.  Methodology
               2.1 Household Income Data
                   To point out the causes of poverty in Malaysia, data of Household Income
               retrieved from Department of Statistic Malaysia was studied. The poverty level
               is measured using net income and Malaysia’s PLI as in (Saidatulakmal, 2014).
               The survey includes 13232 observations and nine independent variables as in
               Table 1.



































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