Day 3 Session 4 Measurement of Social Protection Using Household Survey, Country Experience Sri Lanka

7/28/2019 Day 3 Session 4 Measurement of Social Protection Using Household Survey, Country Experience Sri Lanka

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Country PresentationImproving and Updating the Social Protection Index

ADB RCDTA 7601

Department of Census and StatisticsMinistry of Finance and Planning

Sri Lanka

Present by : D.D.Deepawansa (Statistician)

Disclaimer: The views expressed in this paper/presentation are the views of the author and do not necessarily reflect the

views or policies of the Asian Development Bank (ADB), or its Board of Governors, or the governments they represent.

ADB does not guarantee the accuracy of the data included in this paper and accepts no responsibility for any consequence

of their use. Terminology used may not necessarily be consistent with ADB official terms.


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Outline of the presentation

Overview of the Household Income and Expenditure

Survey-HIES

Research findings of SP using HIES -2012/13

SP Data limitations - HIES - 2012/13

The issues encountered with the SP questionnaire

Impact on policy implications


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Household Income and Expenditure Survey-HIESHIES has been conducted since 1990/91 as a separate survey Underthe National Household Survey Program.

Survey frequency- once in five years up to 2006/07 and thereafter

once in three years. Sample survey conducts for an year in 12 consecutive monthlyrounds and island -wide representative sample of equal size areenumerated in each monthly round.

General sample size is 25,000 housing units which provides adequateand reliable information down to district level.

Data are collected through interviews and Diary methods.Food expenditureseven consecutive days

Non foodDifferent reference periods depending on items


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Survey ObjectivesThe data collected through the survey is used to provide

statistics on individual and household level information,

objectives are;To measure levels and observe the changes of living

conditions of individuals.

To estimate income and expenditure patterns.

To compute various important poverty indicators.

To provide information to calculate price indices.

To provide various statistics on social protection indices

To provide information on different living standard

measurements


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Survey Design

Coverage : Island-wide (persons living in housing

units excluding the institutional population)

Sample design of the survey is two stage stratified

Urban, Rural, Estate are domains in residential

sectors in each district

District is the main domain used for thestratification.

Frame is the list of housing units prepared for the

Census of Population and Housing 2011


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Primary sampling Units (PSUs) are the census blocks

Secondary Sampling Units are the housing units

Primary sampling Units (PSUs) are allocated to each district

by using the Neyman allocation method considering thevariance of household expenditure and no. of housing units.

Population standard deviation of

expenditure in The districtTotal Sample Size forDistrict

Total no. of Housing units in the district

Total no of PSU for Sri Lanka

Sample Allocation for Sri Lanka HIE survey


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Sample Selection Procedure

Stratum(District, Urban)(District, Rural)

(District, Estate)

First stage

selection

Selection of

primarysamplingunits

(Censusblocks)

UsingPPS/Systematic

sampling

method(Size measure isno. of housing

units in the

census blocks)

Selectionprobability ofPSU= P1

7


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Selection of secondarysampling units (SSU)SSUs are the housingunits in the selectedprimary sampling

units (census block)

Second stageselection

From eachselected primary

sampling units, 10housing units areselected by using

systematicsampling

Selectionprobability of

SSU= P2

P final probability = P1 x P2

W1(initial weight) = 1/P final probability 8

Continue..


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Adjustment for non-response unit ( Sample Unit)

Category Result code

Completed 1

Deferred 2

No competent respondent at home 3

Refused 4

Housing unit is temporarily closed 5

Household is demolished/Vacant 6Other (Specify) 7


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Non response adjustmentEach PSU has separate adjustment factor

W4(final factor) =w1w2w3


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Questionnaire Design

HIES questioner consists of nine sections to collect householdinformation covering the following areas;

1. Demography

2. School education

3. Health

4.Food and non-food expenditure

5.Income

6.Inventory of durable goods

7.Access to facilities in the area and debts of thehouseholds8.Housing information

9.Agriculture holdings and livestock


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Data collection

The data are collected by interviews and Diary method

Diary method records data and expenses on daily consumed

food and beverage items at home and outside for one weekreference period.

By the Interview data are collected on nonfood items such as,Demography, School Education, Health, Income, and

Inventory of durable goods. In addition, access to facilities inthe area and debts of the households, housing information,agriculture holdings and livestock data are also collected.

The enumerator visits three times the selected household

within the reference week to obtain accurate data


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SP variables in HIES 2012/13HIES 2012/13 questionnaire was expanded to identify the

most of the social protection schemes other than the schemesidentified under the income section.

The variables included as SP transfers ;

Social Insurance programs

1. Pension Payment

2. Disability / relief payments

3. Health medical aids

Social Assistance Programs1. Samurdhi program (Poverty alleviation )

2. Elderly payment

3. Educational & Scholarships

4. School food program5. Triposha food program


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Cont

6. Compensation Insurance etc7. Disaster relief Assistant

8. Foods and other commendations

9. Fertilizer & Other subsidies

Any other payment received by household members

are collected under other payments in the income

Section.

Freely received as in kind are collected under the

Expenditure section.


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Social Protection Data Analysis

and Findings2012/13

(Three month data)


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Social Protection Coverage-2012/13

Table 1 : Direct and indirectbeneficiaries

Poor NP

All social protection 63.5 40.8

All social insurance 1.6 9.0

All social assistance 62.5 33.5

Poor NP

All social protection 6.3 5.5

All social insurance 0.3 2.7

All social assistance 5.9 2.8

Table 2 : Direct beneficiaries only


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Distribution of Social Protection

Beneficiaries by Area of Residence


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Average Transfer Value, Per Capita

Sri Lanka -2012/13

Note:Table entries are

the average per

capita transfer

received by all

households in agroup. It does

include households

that did not receive

the transfer.


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Impact of programs on poverty measures simulating the

absence of the program

FGT0 FGT1 FGT2

Sri Lanka 6.5 1.1 0.3

Indicator without listed transfer

All social protection 9.2 2.3 1.1

All social insurance 8.2 2.0 0.9

Pension 8.2 2.0 0.9

Disability and Relief 6.5 1.1 0.3

Medical aid 6.5 1.1 0.3

All social assistance 7.5 1.5 0.5

Samurdhi 6.9 1.3 0.4

Elderly Payment 6.5 1.1 0.3

Scholarship 6.5 1.1 0.3

School_ food_ p 6.5 1.2 0.3

Thriposha 6.5 1.1 0.3

Compensation 6.5 1.1 0.3

Other Food 6.6 1.1 0.3

Disaster 6.5 1.1 0.3

Fertilizer Other subsidies 6.8 1.2 0.4


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Impact of social protection programs on inequality

measures - simulating the absence of the program


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Distribution of Beneficiaries

Note:Specifically, beneficiaries'

incidence is:(Number of

individuals in the group

who live in a householdwhere at least one

member receives the

transfer)/(Total number of

direct and indirect

beneficiaries).

P = Poor

NP = Non poor


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Concentration Curves, Main group of Social Protection

Sri Lanka - 2012/13


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Overlap of social protection programs


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SP Data limitations - HIES

2012/13HIES identified the main social protection transfers inthe country. However, there are other social protection

mechanisms whose information are collected and/or

covered but not clearly identified by the survey as social

protection transfers.

For example, there are many traditional and religious schemes arein operation to assist those who are in need which are mainly

funded and operated by societies, associations, and also by

individuals

Labour market information are not collected in HIES.


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Few challenges and implications caused some impact to the survey

Data capturing methodology

Non responses

The respondents feel inconvenience and also the survey take longer period tocomplete.(three visit per household and take 20- 30 min in each time )]

Enumerators may encounter extra effort to explain the important ofcollecting survey data to the respondents due to the respondent does not

getting direct benefits from the survey

Respondents may struggle to provide accurate answers to some questionssuch as value of assistance received by the way of services or in kind

The issues encountered with the questionnaire


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Durable Goods Consumption

Durable goods, such as vehicles, refrigerator and Tvs, etc. bought ata single point in time and consumed over several years.Consumption of a durable good should only include the amount ofthe durable goods that is consumed over the period of reference.

However still in HIES in Sri Lanka has not been consideringconsumption of existing durable goods.

Income likely to be under-reported (forgetting, reluctance todisclose, difficult to measure, etc.).

Some parts of income are difficult to observe (for instance, incomefrom informal labor activity, from home agricultural production)

The link between individual welfare and income in not always clear

Continue.


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Impact on policy implications Policy makers and donor agencies to arrive at informed

decisions in formulating standard framework for social

protection.

This will provide; clear guidance to the policy makers to understand and identify

target segments of the population assistance to quantify the

scale of social protection schemes.

Monitoring and analysis

Having such details will enable proper pre and post analysis and

monitoring of social protection programs.


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Thank you

Documents

Day 3 Session 4 Measurement of Social Protection Using Household Survey, Country Experience Sri Lanka