learn$ave Project: Final ReportTable 6.1Impacts on Incidence of Budgeting <strong>and</strong> Financial Goal Setting (Percentage Points) at 18, 40 <strong>and</strong> 54 Months,All Participants – AdjustedControlGroup IncidenceImpact of MatchedSaving CreditsImpact of Serviceswhen Offered withCredits ∑Combined Impact ofCredits + ServicesAt 54 Months% who set a budget 49.4 3.5 3.8 7.3***% who set financial goals 59.3 5.4** 3.7 9.1***At 40 Months% who set a budget 47.6 4.3* 2.2 6.5**% who set financial goals 53.6 4.4* 7.6*** 12.0***At 18 Months% who set a budget 44.6 6.0** 5.1** 11.1***% who set financial goals 56.2 5.1** 7.4*** 12.4***Source: Calculations from 18-month, 40-month <strong>and</strong> 54-month survey data.Note: Overall sample sizes for the control, learn$ave-only <strong>and</strong> learn$ave-plus groups are 568, 842 <strong>and</strong> 859, respectively for the 54-month survey,607, 833 <strong>and</strong> 814, for the 40-month survey, <strong>and</strong> 748, 920 <strong>and</strong> 915 for the 18-month survey.Sample sizes vary for individual measures because of missing values.Two-tailed t-tests were applied to impacts estimated by regression-adjusted differences in outcomes between research (program <strong>and</strong> control)groups.Statistical significance levels are indicated as * = 10 per cent; ** = 5 per cent; *** = 1 per cent.Rounding may cause slight discrepancies in sums <strong>and</strong> differences.∑The figures in this column show the extra impact of the financial management training <strong>and</strong> enhanced case management services whengiven to those eligible to receive matched credits. It does not represent the impact of those services alone for those not eligible to receive thematched saving credit; it represents the impact of the services when provided with the credits.<strong>and</strong> could not be cashed out after month 48, however, thisdiminishing impact over time is perhaps not surprising.These impacts, though modest, are potentiallyimportant. Financial goal-setting <strong>and</strong> budgeting havethe potential to increase participants’ savings <strong>and</strong> networth both during the learn$ave project <strong>and</strong> after. Thefact that these effects were still being observed at 54months (some 18 months after the end of the 36-monthsaving period) is promising. However, they need not leadto increased savings <strong>and</strong> net wealth, as goals <strong>and</strong> budgetsmay not be kept or any freed-up resources may be spentrather than saved.Impacts on savings <strong>and</strong> saving incidenceAs discussed in Chapter 5, participants were expectedto save in their learn$ave IDA during their first 36months in the project. During this time, financial assetsin the learn$ave account would be expected to increase;however, these same financial assets would have beenexpected to be withdrawn for eligible program purposesduring Phase 3 of the project (Figure 6.1).The available evidence from learn$ave confirms thisexpected pattern. Table 6.2 looks at savings measuredas changes in the average value of total financial assets,including savings in learn$ave accounts, bank accounts,retirement savings, as well as other financial assets. 1The table shows that, in the early stages of the project,between baseline <strong>and</strong> month 18, the learn$ave matchedcredits increased average financial savings by $583;the combined impact of the credits <strong>and</strong> services wasslightly larger at $674. As observed in Chapter 5 (seeFigure 5.3), by month 18, a large minority (41 per cent)of participants had saved the maximum savings eligiblefor matched savings credits pulling the average savingsas a percentage of maximum program savings to 64percent (or $957) at this point in the program model. Itwas further noted in Chapter 5 that early savers werelikely to cash out their savings more fully <strong>and</strong> earlier thanother participants. Therefore, it is perhaps not surprisingthat by month 40 (during which time no new creditswould have been available to many participants) nosignificant effects on financial assets were apparent. Bymonth 54, it is still the case that neither program grouphad significantly more average financial savings than thecontrol group.This pattern suggests that learn$ave participants savedmore than the control group early in the program in order1 Other financial assets include stocks, mutual funds, bonds, Guaranteed Income Certificates(GICs), term deposits, home ownership saving plans, savings at home or with family orfriends, loans to family or friends, foreign financial assets <strong>and</strong> any other (unspecified)financial assets held by the participant.68 | Chapter 6 <strong>Social</strong> <strong>Research</strong> <strong>and</strong> <strong>Demonstration</strong> <strong>Corp</strong>oration
learn$ave Project: Final Reportto earn high-return matched credits. They then savedless than the control group during subsequent monthswhen they were withdrawing their savings <strong>and</strong> cashingout their credits to purchase education or starting a smallbusiness. At the 54-month survey point, any positivereturns to those investments in education or selfemploymenthad yet not translated into positive growthin financial assets. Such a return in financial well-beingcould take place later on. However, as far as the availabledata suggest, the net result is that the only significanteffects the project had on financial assets occurred early(at 18 months) <strong>and</strong> learn$ave had no significant effect onthe amount of financial savings at the 54-month mark.It is worth noting at this point that the observedpattern in the average value of overall financial assets<strong>and</strong> net worth (discussed below) is largely determinedby the specific uses of savings considered eligible underthe learn$ave program. Indeed, by their very nature, thetwo eligible uses of accumulated savings under learn$ave,adult education <strong>and</strong> business start-up, do not appear as“assets” in the financial balance sheet of participants atthe time they are acquired. Instead, it is assumed thattheir acquisition of human capital would lead to futureTable 6.2Baseline to18 monthsBaseline to40 monthsBaseline to54 monthsSource:Note:Impacts on Savings (Change in Financial Assets)(Average Dollars), All Participants – AdjustedImpact ofMatched SavingCreditsImpact ofServices whenOffered withCredits ∑Combined Impactof Credits+ Services583** 91 674***-639 673 34-536 303 -233Calculations from 54-month, 40-month <strong>and</strong> 18-month surveydata.Overall sample sizes for the control, learn$ave-only <strong>and</strong>learn$ave-plus groups are 748, 920 <strong>and</strong> 915, respectively,for the 18-month survey; 607, 833 <strong>and</strong> 814, respectively,for the 40-month survey; <strong>and</strong> 568, 842 <strong>and</strong> 859 for the54-month survey. Sample sizes vary for individual measuresbecause of missing values.Two-tailed t-tests were applied to impacts estimated by regression-adjusteddifferences in outcomes between research(program <strong>and</strong> control) groups.Statistical significance levels are indicated as * = 10 percent; ** = 5 per cent; *** = 1 per cent.Rounding may cause slight discrepancies in sums <strong>and</strong> differences.∑The figures in this column show the extra impact of thefinancial management training <strong>and</strong> enhanced case managementservices when given to those eligible to receivematched credits. It does not represent the impact of thoseservices alone for those not eligible to receive the matchedsaving credit; it represents the impact of the services whenprovided with the credits.returns in terms of increased earnings or employment.If learn$ave had been opened to multiple uses, such asretirement income or the acquisition of a house, it wouldhave been possible to record these types of assets at theirmarket value as soon as they are acquired. In that case,we could have seen total financial assets increase at thebeginning of the period <strong>and</strong> stay high during Phase 3, thetime of assets acquisition.One could attempt to approximate the value of humancapital acquisition by calculating a present value basedon the expected future returns on investments made ineducation, learning, or micro-enterprise development.However, in the absence of a methodologically sound wayto do that, <strong>and</strong> to avoid mixing up observations basedon factual information with some broad estimates offuture returns, we feel that is more appropriate to treatthe investment in adult education <strong>and</strong> small businessstart-up as pure expenditures <strong>and</strong> to omit these itemsfrom the calculation of average assets <strong>and</strong> net worth. Asa result, it is not surprising to see participants’ savings<strong>and</strong> net worth decrease when participants cash outtheir learn$ave account (their own savings as well as thematched credits).In addition to looking at changes in financial assetsover time (“revealed saving behaviour”), another way tomeasure savings impacts is to ask participants whetherthey are saving money or not (“self-<strong>report</strong>ed saving”) <strong>and</strong>compare responses across research groups. Based on self<strong>report</strong>edsavings in the last 12 months, learn$ave did havesome modest positive impacts on saving incidence. Table6.3 shows that matched credits, alone <strong>and</strong> combined withthe services, increased the proportion of self-<strong>report</strong>edsavers by 6.5 <strong>and</strong> 5.0 percentage points, respectively.Further, learn$ave did have an effect on regular saving. Animplicit goal of learn$ave was to encourage regular savingby requiring participants to make at least 12 monthly depositsinto their learn$ave account to become eligible formatched credits. While Table 6.3 shows the credits alonehad no effect on regular saving, the credits in combinationwith services did have a modest impact (5.8 percentagepoints). In other words, the program does seem to havea lasting impact on saving activity, even when no furthermatched credits were available to participants. Thecredits alone were sufficient to encourage a small butsignificant increase in self-<strong>report</strong>ed savings of any kind inthe past year, but only when combined with the services(in the learn$ave-plus group) did the project encourageparticipants to continue saving regularly by month 54.Moreover, learn$ave had a positive impact on futuresaving intentions (data not shown). Compared tothe control group, the program group was about 8.5<strong>Social</strong> <strong>Research</strong> <strong>and</strong> <strong>Demonstration</strong> <strong>Corp</strong>oration Chapter 6 | 69