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Measuring Financial Capability The New World Bank Instrument and Results from Low- and Middle-Income Countries. G20 Russia Presidency – OECD – World Bank Conference Moscow, June 13-14 2013. The goal and the approach. Goal: To develop an instrument to measure levels of financial capability
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Measuring Financial Capability The New World Bank Instrument and Results from Low- and Middle-Income Countries G20 Russia Presidency – OECD – World Bank Conference Moscow, June 13-14 2013
The goal and the approach Goal:To develop an instrument to measure levels of financial capability in lower and middle income countries in a way that works across countries and across subgroups within their population Approach:Capability was defined using an empirical, not normative approach
The overall research design PHASE I – Qualitative Qualitative research in low and middle-income countries determined the concepts to be included (70 focus groups) Cognitive interviews were used to test wording and structure of questions (228 interviews in two waves) PHASE II – Quantitative Testing the quantitative instrument (100-200 pilot interviews in each of eight countries) Implementation of financial capability survey in seven countries, ~20,000 interviews in total Statistical analysis to develop financial capability scores
Phase I: QUALITATIVE Countries involved: Colombia Malawi Mexico Namibia Papua New Guinea Tanzania Uruguay Zambia (focus groups and cognitive interviews)
Focus groups: aims and methods Focus groups are group discussions around a topic of interest, facilitated by a neutral interviewer Participants from different demographic groups were asked to describe a financially capable or incapable person Discussions were transcribed and analyzed Results were used to define the concept of financial capability for low- and middle-income countries and determine topics to be included in the survey
Focus groups: what we found Remarkable level of consensus across countries Financial capability is about behaviors Financial literacy is something different Financial capability is not necessarily linked to income, But low income can prevent people from acting capably (e.g. planning for the future), so attitudes and motivations are important to capture need to recognize how income will limit policy effectiveness Financial capability should be measured for individuals need to understand financial role played by individual and ask questions that are appropriate to that role
Focus groups: concepts identified Money management: Planning income against expenditure (budgeting), keeping track of expenses, prioritizing spending on essentials. Making provision for future needs: Planning ahead, making provisions for unexpected events or old age expenses, saving Choosing and using financial products: Not borrowing more than affordable, checking terms before getting a product Being informed: Seeking information before making decisions Motivations: Self-discipline/not being impulsive, Taking a long-term view, Being enterprising
The overall research design PHASE I – Qualitative Qualitative research in low and middle-income countries determined the concepts to be included (70 focus groups) Cognitive interviews were used to test wording and structure of questions (228 interviews in two waves) PHASE II – Quantitative Testing the quantitative instrument (100-200 pilot interviews in each of eight countries) Implementation of financial capability survey in seven countries, ~20,000 interviews in total Statistical analysis to develop financial capability scores
Cognitive interviews: aims To develop and test a set of questions to allow us to measure the key concepts identified in the focus groups Testing question wording and ways of capturing responses Questions needed to satisfy these criteria: be income neutral work across countries/be culturally neutral apply to the whole population be unambiguous discriminate between capable and less capable people permit use of alternative analytical methods avoid scales based on value judgments
Cognitive interviews: what we found Difficulty of ensuring income and cultural neutrality Importance of tailoring questions to financial responsibilities Questions need to be very concrete for people with low education Questions with scales or multiple choice answers were difficult for people with low education Needed to be broken down and drafted for dichotomous replies (Yes/no; Agree/disagree) Translations need very careful checking
Phase II: QUANTITATIVE Countries involved: From Phase I: • Colombia • Mexico • Papua New Guinea • Uruguay Plus 4 new countries: • Armenia • Lebanon • Nigeria • Turkey
Overview of the questionnaire Household information and selecting the respondent Day to day money management Longer-term financial planning Financial products Motivations Individual and household characteristics Getting information and advice Optional modules (e.g. OECD financial knowledge questions) Interviewer questionnaire & Location questionnaire
The pilot survey Pilot conducted in 8 countries, 100-200 interviews each Tested respondent selection, questionnaires, data entry Exploratory analysis conducted on pilot data Lessons learned: Respondent selection could be gamed, more training needed Fixed translation issues Questionnaire was still too long, was shortened Country specific questions added without problems
National survey: description A probability sample One randomly selected adult per household except in Nigeria, where all eligible members were interviewed 1000 to 2000 individuals per country (but more than 3000 in Turkey and 8,000 in Nigeria) Direct informant, face-to-face interviews Eligible informants were 18 and older and managed household or own finances and/or had decision-making role in household finances
National survey: the sample Field work done in seven countries, and suspended in one (PNG) Around 20,000 people interviewed Results from Nigeria still preliminary
Characteristics of respondents Sample of interviewees is not the same as sample of national population of persons over 18 Represents those making some financial decisions (and some sampling issues perhaps)
Results: outline Examples of descriptive results from key questions Financial capability scores for the key components identified through factor analysis Testing validity of a single measure of financial capability Using the scores to segment the population (cluster analysis)
Examples of descriptive results • By country, Mexico, Nigeria and Uruguay have the fewest people borrowing more than they can afford • Those with lower education are more likely to regularly borrow for food except in Mexico and Nigeria. Overall, a surprising number of people borrow for food. • Of concern, most persons, in all countries, could not cover an unexpected expense equal to one month of income.
Financial capability scores We can construct valid and comparable scores for 12 components of financial capability across countries, reflecting concepts most cited in FGs 10 of these components apply to the entire population: Budgeting Living within means Monitoring expenses Not overspending Using information Covering unexpected expenses Saving Attitude towards the future Not being impulsive Achievement orientation
Overall strengths and weaknesses • Across all countries, people are better at living within their means and not overspending than they are at budgeting, monitoring expenses, or saving. • They also tend to have short time horizons, being more focused on the present rather than the future.
It was not possible to construct a single domain combining the ten components a meaningful single score for financial capability cannot be calculated. For the pooled data it was however possible to identify two underlying domains: Controlled budgeting Making provisions for the future But there were differences across countries, which indicated that domain scores could not be used for international comparisons. Testing the validity of a single measure
Differences in capability scores across groups • Women tend to achieve higher scores than men for budgeting, using information, and saving. • Older people tend to achieve higher scores for living within means and not overspending. • People with higher education tend to have higher scores in budgeting, living within means, attitude toward the future and not being impulsive. • Higher household income is associated with higher scores in most areas, but it does not seem to matter for budgeting or impulsiveness, and it is also associated with overspending.
Cluster 5: good money managers, but with a tendency to overspend(well educated, high-income young women)
Cluster 2: Not capable in most areas, but good at living within their means and achievement oriented (young men)
Cluster 3: careful money managers with short-term horizons(women, over 40, living in rural areas)
Speaking of data… • Micro data from 7 countries now available on TF site:www.finlitedu.org • Also available: full survey report, questionnaires, guidance for survey implementation
Open issues • Measuring financial capability over time • Understanding who are the financially inactive • Explore causality links between capability and responsibility for financial decisions • More research needed to understand links between financial literacy and financial capability • Conduct panel surveys to determine causal link between capability and welfare
Thank you! Comments or questions?kscott1@worldbank.org vperotti@worldbank.org