Slides (PPT)

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Externalities in the Demand for

Privacy: Evidence from the Do-Not-

Call Registry

Khim-Yong Goh, NUS

Kai-Lung Hui, HKUST

I.P.L. Png, NUS

Privacy and Regulation

• “Privacy is a fundamental right that people do

care about.”

Pamela Jones Harbour, Commissioner of U.S. FTC

• Existing research has been lagging behind:

– Surveys and laboratory experiments

– Little empirical research about real behavior

– Mostly study direct benefits/costs of privacy, not

externalities between consumers

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Externalities

• How one person’s decision affect others

– Pollution, public good, etc.

• Two types of externalities among consumers related to privacy

– Preference externalities: How consumers’ product preferences affect others

– Strategic marketing avoidance: How consumers’ marketing avoidance efforts affect others

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Research Objectives

• Using real registration data from the U.S. Do

Not Call Registry: -

– Identify the presence of preference externalities vis-à-vis strategic marketing avoidance in the demand for privacy

– Draw implications on optimal government intervention and vendor responses

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Theory – Preference Externalities

• Reasons for preference externalities

– Fixed costs in retailing

 limited products

– Incomplete information on consumer preferences

 product configuration based on aggregate attributes, e.g., age and gender

– These apply equally well to direct marketing

• Within-segment: demand

 when the size of the same segment increases

• Cross-segment: demand

 when the size of other segments increases

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Theory – Preference Externalities

• The larger the size of a demographic segment

 the more likely a person will find the products that she wants via direct marketing

 the less likely that she will sign up for DNC

• H1 (Preference externalities): Marketing avoidance in a particular demographic segment would decrease with the size of that segment

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Theory – Strategic Marketing

Avoidance

• Vendors ignore harms caused by solicitations

• Consumers avoid marketing when the harms exceed the benefits from direct marketing

• Marketing avoidance facilities serve to “filter” the population for vendors

• What would vendors do when the population becomes “richer”?

• How would remaining consumers respond?

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Theory – Strategic Marketing

Avoidance

• In general, larger consumer segments

 stronger impact on vendors’ expected profits due to marketing avoidance

 stronger strategic complementarity

• H2 (Strategic marketing avoidance): Marketing avoidance in a particular demographic segment would increase with the size of that segment

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The DNC Registry

• Fixed line and mobile, not business numbers

• Telemarketers must check phone numbers against DNC no less frequently than 31 days

• Registrations were indefinite

• Desirable characteristics

– Real observations of consumer choices

– Free service, low sign up cost, and no competition

– Covers entire USA; lots of variations in consumer demographics across regions

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Data Sources, Issues, etc.

Our equilibrium state

0 10 40 50 20

Week

30

• County- and MSA-level population data from

U.S. Census Bureau

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Preference Externalities: Evidence

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Preference Externalities: Evidence

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Marketing Avoidance: Evidence

• There was concomitant increase in consumer purchase of directly marketed items and marketing avoidance

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Empirical Model

• DNC registration rates:

-ve

 preference externalities

+ve

 strategic marketing avoidance

• With help of population data, specifically,

• Integrating the above equations,

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SMA among highincome people

Results

PE among lesseducated people

SMA among

Hispanics and non-

Hispanics

SMA among non-

Spanish-only speakers

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Robustness

Different equilibrium states

Perhaps the effects were due to direct communications?

Maybe consumer heterogeneity mattered?

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County-Level Markets

• DNC registration rates:

• Estimation equation,

• Within-segment parameters could be identified, but not cross-segment parameters

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County-Level Markets: Results

Fairly consistent with the MSAlevel results…

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Summary of findings

• Strategic marketing avoidance: High income, age, Hispanic ethnicity, non-Spanish-only speaking consumers

• Preference externalities: Less educated consumers

– Waldfogel (2003, RJE) and George and Waldfogel

(2003, JPE): Preference externalities among black, white, and Hispanic ethnicity, but not education in radio and newspaper markets

– Our (telemarketing) results are opposite

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Implications (1)

• Evidence of strategic marketing avoidance

 low-value consumers opted out

More profitable “market” for the vendors

Opt out facilities could indeed be helpful to vendors!

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Practical Suggestions

• Direct marketers should support “opt out” facilities because such facilities help refine marketing lists

• Once this is understood, there will be less need for government to offer such services

– Should not “over-respond” to such refinement of marketing lists

• (otherwise “profitable”) Consumers may strategically respond by opting out

• Possible exception on competition law so that direct marketers can agree to limit solicitations?

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Implications (2)

• Preference externalities segmented by education

 either:

– Telemarketers have not segmented markets by education fine enough, or

– Product customization is too low in that market

• Perhaps refine offering by education level?

– Financial/investment services, or educational services…

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Concluding Remarks

• Evidence of externalities

 strong justification for government regulation of privacy

– These are beyond “standard” reasons, such as consumer myopia or protecting vulnerable segments, e.g., children

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Thank you!

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