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Signals, screening and ordeals

When does friction sort customers, and when does it sort the wrong way?

Spence (1973)

Michael Spence, "Job Market Signaling," Quarterly Journal of Economics 87, no. 3 (1973): 355–374. doi:10.2307/1882010

What it found

Employers infer unseen ability from costly choices such as education. A signal "can succeed only if the signaling cost differs sufficiently among the senders" (as summarized in the Nobel committee's 2001 scientific background). It works even if the education adds nothing to productivity.

Why it matters

A buyer signal (a call, a paid pilot, a data upload) means something only if it costs a poor-fit prospect more than a good-fit one.

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Stiglitz (1975)

Joseph E. Stiglitz, "The Theory of 'Screening,' Education, and the Distribution of Income," American Economic Review 65, no. 3 (1975): 283–300. IDEAS

What it found

The screening side of signaling: the uninformed party designs the test. What a person gains from being identified can exceed what the economy gains, so markets can over-invest in screening.

Why it matters

Qualification hurdles cost money. Check whether they add value or just relabel who gets served.

Nelson (1974)

Phillip Nelson, "Advertising as Information," Journal of Political Economy 82, no. 4 (1974): 729–754. doi:10.1086/260231

What it found

For "experience" goods, which can only be judged by using them, heavy advertising is itself information. Makers of better products earn repeat purchases, so each ad dollar returns more and they advertise more.

Why it matters

Your own advertising sends a signal: what you offer tells the high-value buyer who you're for.

Klein & Leffler (1981)

Benjamin Klein and Keith B. Leffler, "The Role of Market Forces in Assuring Contractual Performance," Journal of Political Economy 89, no. 4 (1981): 615–641. doi:10.1086/260996

What it found

Firms keep quality promises when price is "sufficiently above salvageable production costs," so cheating would forfeit future rents. "Advertising investments thereby become a positive indicator of likely performance."

Why it matters

A price premium plus visible, sunk brand investment is what makes a quality promise believable.

Milgrom & Roberts (1986)

Paul Milgrom and John Roberts, "Price and Advertising Signals of Product Quality," Journal of Political Economy 94, no. 4 (1986): 796–821. doi:10.1086/261408

What it found

An introductory price and "directly 'uninformative' advertising or other dissipative marketing expenditures" can signal the quality of a new product; "repeat purchases play a crucial role."

Why it matters

Buyers read your pricing and visible spend as quality signals, not just as acquisition levers.

Zahavi (1975); Grafen (1990), with the dispute

Amotz Zahavi, "Mate Selection—A Selection for a Handicap," Journal of Theoretical Biology 53, no. 1 (1975): 205–214, doi:10.1016/0022-5193(75)90111-390111-3); Alan Grafen, "Biological Signals as Handicaps," Journal of Theoretical Biology 144, no. 4 (1990): 517–546, doi:10.1016/S0022-5193(05)80088-880088-8). Counterpoint: Dustin J. Penn and Szabolcs Számadó, "The Handicap Principle: How an Erroneous Hypothesis Became a Scientific Principle," Biological Reviews 95, no. 1 (2020): 267–290, doi:10.1111/brv.12563.

What it found

Zahavi argued that the peacock's tail is an honest signal precisely because only a fit bird can afford it, and Grafen's models were widely read as proving it. Penn and Számadó (2020) argue that the "handicap principle" is wrong as a general rule.

Why it matters

A great story with a live dispute. For business decisions, Spence's version (a signal must cost the wrong customer more) is safer ground than "costly means honest."

Mussa & Rosen (1978)

Michael Mussa and Sherwin Rosen, "Monopoly and Product Quality," Journal of Economic Theory 18, no. 2 (1978): 301–317. doi:10.1016/0022-0531(78)90085-690085-6)

What it found

A seller that can't tell buyers apart offers a price–quality menu and lets customers sort themselves. Compared with competition, this "almost always reduces the quality sold to any customer," because worse lower tiers keep high-value buyers from trading down, and it "frequently prices customers with the least intensities of demand out of the market."

Why it matters

Good/better/best tiers are a screening device, and the entry tier's limits protect premium revenue.

Nichols & Zeckhauser (1982)

Albert L. Nichols and Richard J. Zeckhauser, "Targeting Transfers through Restrictions on Recipients," American Economic Review: Papers and Proceedings 72, no. 2 (1982): 372–377. IDEAS

What it found

Programs can reach the people who need them by attaching requirements ("ordeals") that cost the well-off more than the needy, so recipients sort themselves.

Why it matters

The theory behind "some friction sorts." A phone call or a booked appraisal is an ordeal that serious buyers will put up with.

Alatas, Banerjee, Hanna, Olken, Purnamasari & Wai-Poi (2016)

"Self-Targeting: Evidence from a Field Experiment in Indonesia," Journal of Political Economy 124, no. 2 (2016): 371–427. doi:10.1086/685299

What it found

"adding a small application cost to a transfer program can substantially improve targeting through self-selection," mostly because better-off households didn't bother to apply. "Marginally increasing application costs … does not further improve targeting."

Why it matters

One small ask filters well. Piling on more friction adds cost without improving the mix.

Read our explainer

Deshpande & Li (2019): the counterpoint

Manasi Deshpande and Yue Li, "Who Is Screened Out? Application Costs and the Targeting of Disability Programs," American Economic Journal: Economic Policy 11, no. 4 (2019): 213–248. doi:10.1257/pol.20180076

What it found

Closing Social Security field offices caused "a persistent 16 percent decline in the number of disability recipients," with the largest drops among moderately severe, low-education applicants. Targeting got worse.

Why it matters

Friction can screen out the people you want. Check who drops out, by tier, every time you add a step.

Einav, Jenkins & Levin (2013)

Liran Einav, Mark Jenkins and Jonathan Levin, "The Impact of Credit Scoring on Consumer Lending," RAND Journal of Economics 44, no. 2 (2013): 249–274. doi:10.1111/1756-2171.12019

What it found

Adopting credit scoring "appears to have increased profits by roughly a thousand dollars per loan," split about equally between screening out high-risk applicants and offering more to low-risk ones.

Why it matters

Scoring pays twice, by saying no to the worst and by investing more in the best. That's "sort, don't reject."

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