pro bono economics

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Presentation given at Peninsula LIST masterclasses held by South West Forum

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Page 1: Pro bono economics
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2© Pro Bono Economics

PBE aims to match professional economists with charities;

providing pro bono help to measure performance and understand charity impact, and

fostering a culture of volunteering within the economics profession

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History2009 - incorporated and registered with Charity Commission

11 projects – no management – none completed

2010 – 2 members of staff from SeptemberManaging 24 projects – 1 completed

2012 – + part-time economistManaging ± 40 projects – 41 completed to date

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PeopleSupported by over 260 volunteers from the public sector (Government Economic Service, Bank of England and others), private consultancy firms (Charles Rivers Associates, Europe Economics, Frontier Economics, FTI Consulting, and Oxera), academics and individual economistsTrustees Martin Brookes (Chair), Andy Haldane (Treasurer), Kate Barker,Lynne Berry, Lucy Heady,Nicola Pollock, Dave RamsdenPatrons include Gus O’Donnell and Adair Turner

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Projects160 charities have registered 168 projects

Where: 127 London & South East, 25 North & East, 5 in Scotland,1 Northern Ireland and 2 WalesWho for: 13 with homeless people,13 with ex-offenders, 9 with disable people, 4 with the elderly, 8 with other charitiesWhat: 12 employment support, 15 using arts or sport, 20 looking for analysis to support campaigning88 proposals have been withdrawn or rejected 79 projects have had 162 economists allocated to them41 reports completed to date16 projects in pipeline, 14 being scoped, 9 being worked on

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Vfm of interventions UK analysis

Data collection

advice

Other economic

advice

Some charities PBE has helped

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The counterfactual

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Types of evaluation

Process: how and how well is the project working?

Impact: what change occurred as a result of the project?

Economic: were the benefits worth the costs? requires an impact evaluation

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Measuring outcomesMeasure a characteristic before the interventione.g. number of people with a coldDeliver the interventione.g. cold and flu medicineMeasure the same characteristic after the interventionDifference = impact?

Most people get better from a cold with or without medicine

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Measuring outcomesMeasure a characteristic before the intervention

e.g. school attendanceDeliver the interventione.g. mentoring scheme to improve attendanceMeasure the same characteristic after the interventionDifference = impact?What other things might be going on at the same time? New breakfast club New attendance officer

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What would have happened anyway?i.e. without the interventionN.B. the intervention did take place, so we can never know for certainCan we measure changes in outcomes for a credible comparison group, who didn’t get the intervention?

credible = no reason to think that there may be differences (bias) which affect the outcomese.g. employment programme for women cf. national employment outcomes – unbiased?

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Control GroupsNational average

PBE: Foundation Training CompanyBeforePBE: MEAM pilots – adults with multiple needsMatched records in admin datasetPeterborough Social Impact Bond/MoJ datalabNatural experiment in charity dataPBE: BarnardosRCTEducation Endowment Foundation/Social Research Unit

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Estimating impact

Measure outcomesBest estimate of what would have happened anyway (the counterfactual)Outcomes minus counterfactual = impactA measurement minus an estimate = an estimate

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Discuss

What are you using/might you use as a control group?

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Data: methods & issues

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Data 1: project admin

Can provide data on activities and outputs

(monitoring)

Rarely useful for outcomes (evaluation)

Tends to be less reliable over time at an individual

level

Often essential for identifiers to link to large data sets need to ensure this is gathered from the start

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Data 2: surveyProduce your own survey Pros:

can tailor to your outcomesCons: time consuming (design, trialing, collection)usually need specialist inputbiases data collection from control groups

Sometimes possible to link to other large surveys

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Data 3: large data setsEducational attainment

National Pupil Database (NPD) Re-offending PNC, prison, probation, MoJ Data labPros: good measures of specific outcomes can ‘match’ / control – ‘synthetic’ counterfactualCons: access (security)use….needs v high level of expertise bias (unrecorded variable bias)

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Data 4: RCTs

Randomised control trials

Randomly allocating participants between ‘treatment / project’ and ‘control’ groups & compare outcomes.

Produces the best counterfactual with least bias → best estimation of impact

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Issues 1: biasResponse bias

especially to surveysUnrecorded variable biasself selection attitude personality

RCTs are the best way to overcome bias

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Issues 2: sample size

Only relevant once bias is eliminated or known

Needs to be large enough to be representative, but too large is wasteful

What is large enough?Ask a statistician

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Issues 3: timing

Outcomes happen as a result of activity Therefore can only be measured after the activity not during it!

Can be difficult for funders who want reports at a project’s close

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DiscussSample evaluations:

What level of evidence?Strengths and weaknesses?

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Levels of Evidence

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Valuation

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DefinitionsSocial value

monetary worth of something to society orSocial value act“how what is proposed to be procured might improve the economic, social and environmental well-being of the relevant area”Social cost benefit analysisCBA including wider benefitsSocial return on investmentparticular methodology for social CBA emphasising role and input of stakeholders

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Whose perspective?Value to society

won’t include transfer payments e.g. tax and benefitsValue to individualschange in income including benefits (+)Value to ExchequerIncrease in tax receipts (+) or increase in benefit payments (-)Potential costs avoidedCashable savings

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Which benefits?Hard outcomes

Qualifications → employment → lifetime earningsCosts avoided by public servicesSoft outcomesEarly stages of work in this areaRelated to income, so only for those who are earningBut still important so

No numbers without stories, no stories without numbers

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Which costs and values?

Input costsProgramme costsVolunteer inputOther activities

Benefit valuesAverage costsMarginal cost

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DiscussWhat type of valuation might be most relevant to you?