Page 231 - Contributed Paper Session (CPS) - Volume 3
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CPS2002 Atina A. et al.
                Losses are said to occur if the actual yield is smaller than the estimated
            yield at a certain confidence level. Otherwise, if the actual yield is greater than
            the  estimated  yield  at  a  certain  confidence  level,  then  farmers  experience
            profits.
                Furthermore, value at risk in terms of losses is estimated as a reference for
            farmers, on how much yield the farmers are prepared to experience losses at
            certain probability level. The value at risk is calculated based on the marginal
            distribution  of  the  Y  obtained  from  the  simulation  of  the  copula  models,
                                ˆ
            where the basic formula is
                                       P( Y  p  )  =1 − p                      (13)
            where   is the value at risk at the 100p  level.
                                                   %
                     p

            3.  Empirical Result
                The  procedure  explained  in  the  previous  section  is  applied  to  the  rice
            production (hg/ha) and temperature change ( C) data of Indonesia from 1961
                                                        o
            to  2016.  The  data  obtained  from  the  official  website  of  BPS-Statistics
            Indonesia. The rice production and temperature change data are presented in
            Fig. 1.
                Based on Fig. 1, rice production data has an increase trend with a little
            fluctuation. While temperature changes data is quite fluctuating. To determine
            whether the two variables have relationship or not, the value of Kendall’s 
            and  Spearman’s    are calculated.  The  results  show  that  the  value of  each

            association measure is 0.670997 and 0.852851, respectively. It means that the
            two variables have quite strong dependency.
                The next step is to fit the distribution of each variable. Descriptive statistics
            of rice production and temperature change along with the normality test using
            Shapiro-Wilk test is presented in Table 1.



















             Figure 1. Rice Production and Temperature Change in Indonesia from 1961
                                              to 2016


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