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    Contents

    Rationale

    Review of Current Poverty Measurement Methodology

    Socioeconomic Status (SES) Scoring Guideline

    Limitations of Current Methodology

    New Methodology

    New Set of Indicators

    New Scoring System and Guideline

    Sample Computation

    Measuring Poverty Outreach

    Advantages and Limitations of the New Methodology

    List of Figures

    Figure 1. Current Client Information Form

    Figure 2. Poverty Threshold

    Figure 3. New Client Information Form

    List of Tables

    Table 1. Current Guideline in Scoring SES

    Table 2. Current and New Set of Indicators

    Table 3. New Guideline in Scoring SES

    Table 4. Sample Computation for Staff who belongs to a Small Household

    Table 5. Sample Computation for Staff who belongs to an Average Household

    Table 6. Sample Computation for Staff who belongs to a Large Household

    Table 7. Combination of Values that Results to a Score of 4

    List of Boxes

    Box 1. Advantages and Limitations of the New Methodology

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    New Methodology for Determining Poverty Outreach

    RATIONALE

    The Center for Small Entrepreneurs set for itself the goal of promoting entrepreneurship as a means of

    poverty alleviation, among others. Though not explicitly and categorically stated in its Mission-Vision-Goal statements, CSE, as a development-oriented NGO, wants to contribute to the ultimate goal of all

    development programsimproved quality of life for all.

    The Philippines has long been known as and still is a poor country, regardless of the episodic economic

    booms that it enjoys. This is the reason why in this country, any development-oriented NGO cannot

    claim significant level of success if its interventions do not address the issue of poverty. CSE knows this

    lesson, thus, it is now trying to assess its level of poverty outreach.

    REVIEW OF CURRENT POVERTY MEASUREMENT METHODOLOGY

    Prior to 2012, there was no systematic procedure in assessing whether a participant was poor or not. In

    December 2012, CSE designed an ad hoc poverty measurement methodology using five (5) pieces of

    information culled from the current Client Information Form or CIF, as shown below in Figure 1.

    Figure 1

    Client Information Form

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    Socio-Economic Status (SES) Scoring

    With the use of these five (5) ad hoc indicators, CSE tried to determine whether participants belong to

    the poor or non-poor class. It was done by assigning points to the values of the indicators as they are

    listed in the CIF. Then, a composite index of socio-economic status (SES) and a scoring system were

    devised. The scores were then laid out to form a scale that was divided into ranges that approximately

    represented a particular SES. Table 1 below served as guideline.

    Table 1

    Guideline in Scoring SES

    Indicator Values and

    Equivalent Points

    Remarks

    Average Monthly

    Net Income

    Original Values These values will not be taken as they are. As

    mentioned above, we will need to obtain Per

    Capita Income by dividing Income by the Number

    of Household members. Since we cannot divide a

    range, we will get its representative midpoint(except the first and the last values) and that

    midpoint will be divided by the number of

    household members to get per capita income.

    Hence, the adjusted values listed on the left.

    For example:

    P 12,500 / 4 (No. of HH Members)

    = 3,125 / 30 days

    = 104.17

    P5,000 below

    5,001 10,000

    10,001 15,000

    15,001 20,000

    20,001 30,000

    30,001 above

    Adjusted Values

    P5,000

    7,500

    12,500

    17,500

    25,000

    30,001

    Number ofHousehold

    Members

    This is an open ended itemwhere there are no fixed

    values or choices to select

    from.

    This is the figure by which the adjusted values ofaverage monthly net income will be divided.

    We use as reference the international absolute

    poverty threshold of $2/day (roughly P82/day) to

    measure poverty.Per Capita Income Values and

    Points

    P80 below(1 pt)

    81 200 (2 pts)

    201 300 (3 pts)

    301 400 (4 pts)

    401 above(5 pts)

    Business

    Ownership

    Yes(1 pt)

    No (0 pt)

    No, but previously owned one

    (0 pt)

    Having an existing business is a plus in terms of

    income and income stability. Having a business

    before, though, does not directly impact present

    income, and so it is considered 0 just like never

    having a business at all.

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    Indicator Values and

    Equivalent Points

    Remarks

    Primary Source

    of Income

    Salary(3 pts)

    Business/Livelihood(2 pts)

    Retirement/Pension (2 pts)

    OFW Remittance (2 pts)Family/Relatives (1 pt)

    Others (1 pt)

    Salary is given the highest point because it implies

    regular source of income, hence, stability.

    Moreover, it is assumed that the salary is at least

    at par with the minimum wage requirement.Others here can be very confusing because it can

    point to many things that would be hard to

    categorize.

    Highest

    Educational

    Attainment

    Post Graduate(5 pts)

    College Graduate(4 pts)

    College Level(3 pts)

    Vocational Course(3 pts)

    High School(2 pts)

    Elementary(1 pt)

    Points are assigned according to such educational

    levels which are universally acknowledged. The

    same points (3 pts) are assigned to College Level

    and Vocational Course as they are both considered

    additional years after high school but not enough

    to earn a college degree.

    After assigning the equivalent points, they were added to obtain a score. The highest possible score was

    14 and the lowest was 3. A score of3 would more or less mean that the participant:

    Is an elementary graduate Receives P82 or less income per day Does not own a business Derives income from other sources

    From these characteristics, it was deemed that a score of 3 represented a condition of poverty. To finally

    determine whether a participant fell into the Poor category, a scale of scores was provided andassigned a threshold of7 points.

    Figure 2

    Poverty Threshold

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    Using the methodology described above, CSE identified who among its participants belonged to the

    poor class. From there, it was only a matter of counting how many scored 7 points or below to

    determine the extent of CSEs poverty outreach.

    Limitations of the Current Methodology

    There are very obvious limitations in using this methodology. To wit:

    The income ranges are not structured to capture meaningful difference in income brackets. Getting the midpoints of these income ranges does not eliminate the first limitation. The Per Capita Income ranges are based on the $2/day or P80/day poverty threshold, which

    incidentally approximates the equivalent of minimum wage for a family of five. (Minimum wage

    in Metro Manila is P427.50. When divided by five (5) family members, we get P85.50) It is

    bound to become inaccurate when minimum wages, inflation, and dollar-peso exchange rate

    increased or decreased.

    The retention of Others as a choice in the item Primary Source of Income will always be asource of confusion unless CSE finally decides to redesign the CIF.

    The threshold score of 7 is not meant to be a fixed reference point, but an ad hoc figure that ismeant to serve CSEs purpose.

    To offset the limitations of the methodology described above, CSE redesigned the CIF to serve as

    poverty measurement tool. The changes are discussed below.

    NEW METHODOLOGY

    The current methodology was designed based on the principle that poverty is a function of vulnerability,

    which is understood here as the inability to withstand economic pressures or economic shocks such as

    sudden loss of job, disasters, illness or death, high inflation, high unemployment, etc. Great emphases

    are given to level of education and stability of income; the former because education is stronglycorrelated to income and the latter because a steady source of income presumably ensures the

    provision of basic needs. The less vulnerable one is, the more s/he can stay out of poverty.

    New Set of Indicators

    The new methodology is still based on the same idea but will use a slightly different set of indicators and

    SES scoring system. It features the following changes:

    Table 2

    Current and the Proposed New Set of Indicators

    Current Set of Indicators Proposed New Set of Indicators

    1. Business Ownership Business Ownership and Stability2. Average Monthly Net Income Average Monthly

    Income

    SameMonthly Per Capita

    Income3. No. of Household Members4. Primary Source of Income No. of Regular Income Earners in the

    Household

    5. Highest Educational Attainment No. of College Graduates in the Household

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    Following these change in the set of indicators, the CIF is reformatted to capture the necessary

    information for poverty measurement. The new look of CIF is shown by Figure 3.

    Figure 3

    The New Client Information Form

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    With the new CIF format and new set of indicators comes a new guideline in SES scoring. For the

    proposed methodology, CSE will follow the following guideline outlined in Table 3.

    Table 3

    New Guideline in Scoring SES

    Indicator Values and

    Equivalent Points

    Remarks

    Business

    Ownership and

    Stability

    None (0 pt)

    Yes & 0-1 yr (1 pt)

    Yes & 2-4 yrs (2 pts)

    Yes & 5 yrs + (3 pts)

    It is not enough to know that a participant has a

    business. It is of greater importance to know if the

    business is stable as evidenced by the number of

    years of operation.

    Average Monthly

    Income of the

    Household

    P 5,000

    P 10,000

    P 15,000

    P 20,000

    P 25,000

    P 30,000P 35,000

    P 40,000

    P 45,000

    P 50,000

    Other __________

    The values here are different in that they are no

    longer ranges but figures with interval of P5,000.

    To obtain information on this indicator, we ask the

    participant to either choose from the list the

    closest amount to their Average Monthly Income

    or write the actual/estimate amount on theOther field.

    As before, we divide the amount provided by the

    participant by the No. of Household Members to

    get the Monthly Per Capita Income.

    For example:

    P 25,000 / 4 (No. of HH Members)

    = 6,250 / 30 days

    = 208.33 3 points*Number of

    Household

    Members

    This is an open ended item

    where there are no fixed

    values or choices to select

    from.

    As before, this is the figure by which the adjusted

    values of average monthly net income will be

    divided.

    We still use as reference the international absolute

    poverty threshold of $2/day (roughly P82/day) to

    measure poverty, but adjusted the ranges in

    hundreds to standardize it.*Per Capita Income

    Values and Points

    P100 below(1 pt)

    101 200 (2 pts)

    201 300 (3 pts)

    301 400 (4 pts)

    401 above (5 pts)

    Number of

    Regular IncomeEarners in the

    Household

    Both are open-ended items

    where there are no fixedvalues or choices to select

    from.

    One (1) point is assigned for every household

    member who has regular income, which meansthat 2 regular income earners = 2 points

    Number of

    College

    Graduates in the

    Household

    One (1) point is assigned for every household

    member who has a college degree, which means

    that 3 college graduates = 3 points

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    It is very important to note that the unit of measurement used here is the Household, and not the

    individual participant or his/her family. Though it is the individual participant who fills out the CIF and

    who is counted in CSEs measurement of poverty outreach, his/her socio-economic status does not

    depend on him/herself but on the group with which s/he shares resources. In many cases, that group is

    his/her family. However, in many instances, family could be interpreted to include siblings or second

    degree relatives who have already formed their own families or households apart from the participants.

    This would cause confusion in counting the number of household members and the average monthly

    income. To avoid these, explicit questions with detailed instructions are provided to obtain the clearest

    possible answer (Please see Figure 3).

    To improve on the current methodology, the current indicator Primary Source of Income is replaced by

    Number Regular Income Earners based on the assessment that knowing how many household members

    contribute to the familys income would give us a better picture of the financial situation than knowing

    where they primarily derive their income.

    Further, knowing the Highest Educational Attainmentof the participant only provides us information on

    a single individual and not on the group (family/household) with which s/he shares resources. This is

    replaced by the indicator Number of College Graduates in the household to gain insight into two things:one, the capacity of the family to send their children through college; and two, how many members can

    be gainfully employed and can, therefore, contribute to the familys income.

    Sample Computation

    As an illustration, we asked some of the staff to fill out the new CIF. Here are the results.

    Table 4

    Sample Computation for Staff who belongs to a Small Household

    Indicator/Item Answer Equivalent Points

    Business Ownership & Stability No 0

    No. of College Graduates 1 1

    No. of Regular Income Earners 1 1

    Average Monthly Income P25,000 5

    [ (P25,000 2) 30

    = P416.67 ]

    No. of Household Members 2

    Monthly Per Capita Income

    Total 7 pts

    Table 5

    Sample Computation for Staff who belongs to an Average Household

    Indicator/Item Answer Equivalent Points

    Business Ownership & Stability No 0No. of College Graduates 4 4

    No. of Regular Income Earners 2 2

    Average Monthly Income P45,000 3

    [ (P45,000 5) 30

    = P300 ]

    No. of Household Members 5

    Monthly Per Capita Income

    Total 9 pts

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    Table 6

    Sample Computation for Staff who belongs to a Large Household

    Indicator/Item Answer Equivalent Points

    Business Ownership & Stability Yes 1

    No. of College Graduates 5 5

    No. of Regular Income Earners 4 4Average Monthly Income P45,000 3

    [ (P45,000 7) 30

    = P214.28 ]

    No. of Household Members 7

    Monthly Per Capita Income

    Total 13 pts

    To be consistent in following the idea that poverty is a function of vulnerability, we set the poverty

    threshold to the score that represents a household that would barely survive economic shocks. In doing

    so, we ask:

    Does the household have a reliable bread winner or bread winners? How many are they? Do they have an alternative source of income like business? Or do they rely solely on business

    income for their sustenance?

    How many household members can find gainful employment (based on the premise that collegegraduates are more employable compared to non-degree holders)? If an income earner

    becomes unemployed for any reason, are there employable members who can take his/her

    place?

    How much is the household earning? How much daily income does each member can expect toenjoy?

    In consideration of the foregoing, we set the poverty threshold score of 4. Seven scenarios would lead

    to such score as demonstrated by the following tabulation. Note that the items No. of Regular IncomeEarners and Monthly Per Capita Income cannot be zero and must at least have a value of1.

    Table 7

    Combination of Values that Result to a Score of 4

    IndicatorsScenarios

    1 2 3 4 5 6 7

    Business Ownership & Stability 0 0 0 0 0 1 1

    No. of College Graduates 2 1 1 0 0 0 1

    No. of Regular Income Earners 1 2 1 3 1 1 1

    Monthly Per Capita Income 1 1 2 1 3 2 1

    Total 4 4 4 4 4 4 4

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    To summarize the scenarios above, we can say that the following are true for a household classified as

    poor:

    1. There are only two (2) cases where a household would own a relatively new business. The restrelies on income derived from other sources.

    2. The household would have no more than two (2) college graduates.3. The household would have no more than three (3) regular income earners. This, on the other

    hand, means that their Monthly Per Capita Income is P100 or below.

    4. The highest Monthly Per Capita Income they could have is between P201 300. This, on theother hand, means that they neither have a college graduate in the household nor a business.

    5. If they have two sources of income (salary and business for example) and a college graduate,this means that each member lives on P100 or less daily.

    The threshold score of 4 means that anyone who gets 4 or lower are counted as poor, and anyone

    who scores 5 or higher are classified as not poor. The lowest score that could be obtained is 2, and

    there is no predetermined highest possible score.

    Measuring Poverty Outreach

    As before, to measure the extent of CSEs poverty outreach, we only need to count how many

    participants scored 4 or lower based on their answers in their CIFs, and divide it by the total number

    of participants for any given period of assessment.

    Advantages and Limitations of the New Methodology

    No methodology is perfect and CSE must continuously check on the relevance and effectiveness of its

    research tools and improve them as needed. For any assessment tools devised, one must always be

    aware of its advantages as well its limitations to know what can and cannot be achieved with the use of

    such tools.

    Box 1

    Advantages and Limitations of the Methodology

    Advantages Limitations

    1. There is a clear focus and basis on whatpoverty means (Poverty as a function of

    Vulnerability).

    2. There is a clearly determined unit ofmeasurementHouseholdand not the

    individual participant or his/her family.3. All indicators are quantified and can easilylend themselves to quantitative analysis.

    4. It is easier to compute for the Monthly PerCapita Income.

    1. It can only capture information related toincome and the ability to earn income.

    2. It cannot be used to measure impact,either on the level of individual or of the

    enterprise.

    3.

    The values assigned to Monthly Per CapitaIncome may no longer be relevant after a

    year or two, depending on changes in the

    inflation rate.