Poverty measurement: experience of the Republic of Moldova UNECE, Measuring poverty, 4 May 2015

1. Poverty measurement: experience of the Republic of MoldovaUNECE, Measuring poverty, 4 May 2015

2. The HBS is the important source of economic and social data, it provides data on: i) measures of living standards, ii) consumption and income structure, iii) weights for consumer price index and iv) various estimates for the National Accounts. Data collection method: paper based interview, face to face interview and self recording of diary Survey tools: - Household roster: socio and demographic characteristics, education, employment, housing, land, etc. - Diary: income, expenditure (cash, in-kind) - Non-response sheet: reasons of non-responses and key variable on non-respondent Data collection (1)

3. Sampling: net sample size 9768 hhs, response rate is 62%. rotation scheme: i) every second year 20% of PSUs are replaced; ii) 50% of hhs are part of four years panel sub sample. Recording period: one month: household roster during the 3 mandatory visits, diary is split into 2 parts (first and next fortnight). Reference period: Income: i) current month and ii) last 12 months for remittances, income from agriculture. Expenditures: i) current month and ii) 2 weeks for purchased food and beverages, iii) last 6 moths for infrequent goods (clothes, footwear, etc.), iv) last 12 months for utilities, durable goods, expenditures for agriculture. Data collection (2)

4. Absolute poverty line: 1993-2000 – Minimal consumer budget 2000up to now–Subsistence level 2004 – first absolute poverty lineapproved by Strategy of economic growth and poverty reduction (SCERS) 2006 up to now–revised absolute poverty lineand approved by Government Decision: - food and non – food component (total) - food component – extreme poverty line 2009 up to now – national threshold used for mean tested social allocation for poor Poverty line evolution

5. International poverty line/MDG indicators: starting with 2005: - $1, $2,15 - and $4,3 (PPP) Relative poverty line: 60% of median income (international comparison) Subjective poverty: up to 2008: based on self estimation of minimum needs of households Background information

6. Basic need approach: Food component: based on the need to meet certain minimum nutritional requirements (2282 calories per day) and actual consumption patterns observed in the data for a specified population group (the population of interest to be the lower part of the distribution, from the second to the fourth deciles). In fact focusing on the population located in the low end of the welfare distribution, we are more likely to reflect the preferences of the poor as well as the prices that they face. Non-food component: is computed as a mean multiplier among households whose expenditure lies within a small interval around the food poverty line (+-10%). Computation of absolute poverty line

7. Computation of welfare indicator

8. Consumption expendituresare used as indicator of well-being. The following adjustment are made: for items, whose purchase is infrequent, but still more frequent than once a year, expenditure are captured through appropriate recall periods (6 and 12 months); items, which generally are purchased within intervals longer than one year (namely durable items) are excluded from consumption aggregate; correction for price differences over time and across different areas of the country (namely urban and rural areas); adjustment of expenditure measured at the household level to identify individual consumption levels (1:0,7:0,5). no imputation. Computation of welfare aggregate

9. Computation of consumption expenditure • Poverty rate varies a lot depending on the items included in the consumption expenditure

10. Poverty rate 2006-2014

11. Poverty profile

12. Main factors which determines the vulnerability: Migration: children left without parental care migrant women Elderly people Rural households which relies mainly on agricultural activity and social aid Households with many children Ethnic groups, such as roma population. Vulnerability to poverty

13. Vulnerability to poverty

14. Vulnerability to poverty

15. Data collection: High non-response rate in urban area Respondent burden and how to manage data quality Treatment of outliers in consumption aggregate, such as out of pocket health expenditures, expenditures for utilities, etc. Moving to mixed mode of data collection PAPI+CAPI Use of census data and if relevant administrative data Poverty measurement: Updating and revision of absolute poverty line, comparability issues Moving from material measurement to multidimensional approach Explore panel data as proxies of vulnerability Development and approval of the national set of social inclusion indicators in accordance with EU requirements Main challenges

16. Thank you for attention!