Experiments and Quasi-Experiments

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Experiments and Quasi-Experiments. Josh Lerner Empirical Methods in Corporate Finance. The problem. Corporate finance has not traditionally carefully thought about: Reverse causation. Impact of unobserved third factors. Even when acknowledge, often responses are inadequate: - PowerPoint PPT Presentation

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Experiments and Quasi-Experiments and Quasi-ExperimentsExperiments

Josh LernerEmpirical Methods in

Corporate Finance

The problemThe problem

Corporate finance has not traditionally carefully thought about:Reverse causation.Impact of unobserved third factors.

Even when acknowledge, often responses are inadequate:

E.g., Kaplan-Ruback [1995].

UnderstandableUnderstandable

In education and labor, there are:Lots of decisions.Relatively minor stakes.Desire to appear innovative:

At least in education.

Larger stakes, greater risk aversion in finance:Hard to get CEOs, I-bankers to agree to

randomized IPOs.

ConsequencesConsequences

Lots of papers about correlation…Relatively limited number that decisively

show causation.As a result…

Will focus here on experiments to address the issues.

Somewhat different approach.

Strengths of experimentsStrengths of experiments

Allows careful design of choices.True randomization of participants.Limited worries about sample

selection and other issues.

Limitations of experimentsLimitations of experiments

Short time frame and little study compared to real-world choice.

Are student participants representative?

Modest, low-powered financial stakes.Role of human subjects committee:

The cancelled pencil orders.

AgendaAgenda

Will examine variety of approaches:From less to more practical in finance

context.

Using Randomization in Using Randomization in Development Economics Development Economics

ResearchResearch

Duflo, Glennerster, and KremerWorking Paper

Case for experimentationCase for experimentation

Many things may be different:Legal regime.Economic conditions.Skill level.

These are likely to be correlated with “treatment.”

A study of treated and untreated may thus reflect other influences.

Case for experimentation (2)Case for experimentation (2)

With experiment, have otherwise identical people:Allows one to capture treatment effect…While minimizing bias associated with

selection effect.

Other biasesOther biases

In traditional studies, likely to have data snooping issues:Many regressions run, but only a few

reported.Playing with controls and sub-samples.

Less opportunities with experiments:But still sub-sample issues.

FDA bans in clinical trials.

ImplementationImplementation

In development, can be done fairly cheaply:Groups are often searching for solutions.Many programs encounter excess

demand.In many cases, programs are phased in

over timeMore challenging in corporate finance.

Practical issuesPractical issues

Changes are often done in packages: Makes it harder to assess impact of any change.

May deviate from perfect experiment: Selection may be partially non-random. Participation may not be universal.

Statistical approaches may partially adjust here.

Knowledge spillovers to others.

GeneralityGenerality

Experiments by definition are micro in scope:Overall effects may be different:

Shifts in pricing, externalities, etc. “Hawthorne” effect:

Those in experiment may react to being selected, as do those not selected.

Specificity of particular context.

Can experiments work in Can experiments work in finance?finance?

In many cases, no:Size of stakes.Limited number of players.Differences in needs across firms.Risk aversion.Cost of implementation.

Possible settingsPossible settings

Public programs:More emphasis on evaluation.

Angel groups, and other young firm financiers:Mixture of motivations?!

Laboratory experiments that capture essence of problem:Next paper is an example.

Is Pay-for-Performance Is Pay-for-Performance Detrimental to Innovation?Detrimental to Innovation?

Ederer and MansoWorking Paper, 2008

Split view on incentives and Split view on incentives and innovationinnovation

Number of economics papers showing power of incentive schemes:Typically, basic production activity.Experimental methodology.

Negative view in psychology literature of impact on creativity.

MethodologyMethodology

Use HBS’s CLER laboratory.379 subjects.60 minute experiment:

20 periods.Students paid between $11 and $40,

depending on success.

Methodology (2)Methodology (2)

Make choices regarding running lemonade stand in each period.

Choose one of three locations (school—most profitable, stadium, and business district), and sugar level, lemon level, color and price.

Different optimum for each location. Suggest initially a non-optimal strategy

(business district): Participants can fine-tune or radically alter.

Methodology (3)Methodology (3)

Three compensation schemes:Fixed wage per period.

Expect will explore the least.50% of profits throughout.50% of profits in last 10 periods

(exploration).Expect will explore more and get closer to

optimum.

ResultsResults

Most likely to sell in school if exploration contract.Figure 1.

Most likely to explore in early periods if exploration contract.Figure 2.

Searching performanceSearching performance

Look at for those exploring (leave the business district), when stop (return or converge to a narrow band):Longer for exploration contract.

Especially for first ten periods.Especially when also if punitive feature of

insufficient profits. Table 1.

More resultsMore results

Better record keeping with incentive pay:Figure 3.

More profits with exploration contract:Figure 4.

Assessment and concernsAssessment and concerns

Suggests contracts can effect innovation:Truth in both views.

But remaining questions:Would real stakes introduce more risk

aversion?Do incentives really work in real world like

this?Then why are researcher contracts so flat?

What about joint production functions?

The Importance of Holdup in The Importance of Holdup in Contracting: Evidence from Contracting: Evidence from

a Field Experimenta Field Experiment

Iyer and SchoarWorking Paper, 2008

Here, real stakesHere, real stakes

Send entrepreneurs to pen market in Chennai, India (>100 shops).

Ordered either generic or custom pens.

Looked at levels of deposit required, as well as reaction to cancellation.Seeks to test theories of hold-up and

renegotiation.

MethodologyMethodology

Real entrepreneurs used, so familiar with bargaining:Control for ethnicity, etc.Push to complete a deal, according to a

script (e..g, deposit required).Randomization in order size and other

variables.Average about $25.

Cancellations done via phone.

Key findingsKey findings

25% larger deposit required for customized pens.

If cancel order ex post, more willingness to renegotiate if…Lower deposit.Customized pens.

CommentsComments

Closer to real business situation:Developing country setting allows to

replicate real interactions.Though pressure to get real bargain for

analysis.But may wonder whether more

sophisticated parties, bigger stakes, would affect results.

Does Microfinance Really Help Does Microfinance Really Help the Poor?the Poor?

MorduchWorking Paper

Regression discontinuity designRegression discontinuity design

Units are assigned to conditions based on a cutoff score.

The effect is measured as the discontinuity between treatment and control regression lines at the cutoff: It is not the group mean difference.

RD design, no effectRD design, no effect

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Trade-offTrade-off

When properly implemented and analyzed, RD yields an unbiased estimate of treatment effect:it is reasonable to assume that in the

absence of the treatment, there would be no discontinuities that naturally occurs between the two groups.

Trade-off (2)Trade-off (2)

Statistical power is considerably less than a randomized experiment of the same size.

Effects are unbiased only if the functional form of the relationship between the assignment variable and the outcome variable is correctly modeled: E.g., non-linearities.

AssessmentAssessment

Cook, Shaidsh and Wong [2006]: Regression discontinuity studies in education do

as well as experiments. But other approaches do not:

Differences-in-differences. Careful controls.

Other studies suggest dramatic advantages to experiments (e.g., of peer effects).

Application to financeApplication to finance

In many cases, seem like appropriate design, e.g.:Securities regulation cut-offs.Subsidies for small firms.

Avoidance of many problems illustrated above.

Paper illustrates remaining Paper illustrates remaining difficultiesdifficulties

Seek to understand impact of microfinance:

In Bangladesh, half-acre cut-off for participation.

But rules appear to be broken:See Table 1, Figure 2.

Paper illustrates remaining Paper illustrates remaining difficulties (2)difficulties (2)

As a result, need to divide villages by whether microfinance was available there.

Ends up more like a differences-in-differences approach.

LessonsLessons

This approach seems very reasonable:Better fit for corporate finance.But messy reality has to be grappled

with.And limited power of tests may be

problematic.

Final thoughtsFinal thoughts

Corporate finance has been surprisingly casual about these issues.

Addressing causality issues is quite important.

Practical limitations of many approaches used elsewhere…But more can be done!

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