Page 253 - Contributed Paper Session (CPS) - Volume 2
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CPS1849 Shaymaa Wael A.R.
            2.  Methodology
                Most studies use the costs of the production inputs to valuate household
            production. This method is common in Standard National Accounts (SNA) and
            is the approach adopted in relation to valuing production by government and
            non-profit institutions. The alternative method is to value output, which is the
            preferred method in both GDP and satellite calculations. However, it is difficult
            when the goods and services produced are not sold on the market (PAHO
            2010).
                The ETUS 2015 evolved values for unpaid work depending on the answer
            of  all  participants,  who  performed  unpaid  work,  in  the  survey  on  a  direct
            question included in the survey questionnaire: If you hire a person to perform
            this work, how much would you pay him? According to the results of this
            question, the present paper tries to estimate the cost of unpaid family work
            among the three main regions of Egypt (Urban governorates, Lower Egypt,
            Upper Egypt) according to what so called the Replacement Cost Approach
            which was used by CAPMAS in the ETUS 2015.
                The datum that should be provided for measuring this approach is the
            annual average cost of unpaid family work per person and total population
            aged (10-64) who performed unpaid work. The estimation of population for
            governorates  done  by  CAPMAS  in  two  ways:  either  a  breakdown  by  age
            according to sex, or estimation by region (urban/rural) the issue that will limit
            the  study  on  only  three  regions  (Urban  governorates,  Lower  Egypt,  Upper
            Egypt).
                This study is an attempt to estimate the monetary value for the unpaid
            family work by region in Egypt 2015. In addition, this study applies descriptive
            approach including percentages through cross tabulation in addition to chi-
            square test in order to test the relation between unpaid work and the different
            demographic variables among regions. Bi-variate analysis will be utilized to
            throw light on the main influencing factors that explain the variation in the
            value  of  the  unpaid  work  among  regions  by  applying  the  binary  logistic
            regression and fitting the suitable model for each dependant variable.

            3.  Result
                Nationally, the percentage of individuals who participate in unpaid family
            work reached 68.3% in urban governorates then it decreases to 62.8% in lower
            Egypt  and  59.2%  in  upper  Egypt;  this  reflects  that  citizens  of  urban
            governorates are involved in family activities regardless the socio-economic
            or educational level and especially among women as clarified in the upcoming
            analysis  and  seen  in  the  following  table  (1).  However  there  are  some
            differences by sex, age, educational status, working status and marital status
            in the proportion of unpaid family work.


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