Case Study 21-2: Old Boys' Networks and the Luck Gap — How Informal Networks Shape Who Gets In

Overview

In the summer of 2019, a team of economists published a paper with a title that read like a provocation: "Old Boy Networks in the White Collar World." Using novel data sources and careful methodology, the researchers documented something that had long been suspected but rarely quantified: informal social networks — the kind formed through shared elite educational experiences, exclusive social clubs, family connections, and geographic proximity during formative years — played a substantial and measurable role in determining access to high-status careers in finance, law, and government.

The paper was not an outlier. It was the clearest articulation of a research finding that had been accumulating across economics, sociology, and organizational behavior for decades: in competitive, credential-dense fields, who you know shapes outcomes in ways that interact with — and sometimes exceed — what you know.

This case study examines the research on old boys' networks, documents the mechanisms by which they create and sustain luck gaps, and explores what the evidence suggests about the limits and possibilities of individual network-building within structurally unequal landscapes.

The Historical Context: How Elite Networks Formed

To understand how informal networks shape contemporary career luck, it helps to understand how they formed.

The term "old boy network" originated in British English, referring to informal connections among graduates of elite boarding schools ("old boys" being the alumni term). The concept referred to the practice of Eton, Harrow, Westminster, and similar schools' graduates preferentially recommending and hiring each other in elite careers — the civil service, the City of London financial sector, politics, and law.

The mechanism was not primarily conscious discrimination. It was something more structural: shared social experiences created shared references, shared trust, and shared social vocabulary. When a hiring manager at a London bank interviewed a candidate from his own school, the conversation was immediately richer — shared jokes, shared teachers, shared memories of particular traditions. This familiarity-generated warmth was interpreted as evidence of cultural fit, communication skill, and character, when it was actually evidence of shared social origin.

In the United States, the equivalent network formed around elite universities (the Ivy League and a handful of near-Ivy institutions), exclusive social clubs (at Harvard, the Final Clubs; at Yale, Skull and Bones and other secret societies; at Princeton, the eating clubs), and summer communities where wealthy families congregated. Investment banks recruited almost exclusively from a handful of schools; law firms followed similar patterns; government increasingly drew from a pipeline connected to elite academia.

The Research: Quantifying the Network Effect

Finance: The Goldman-Harvard Connection

Multiple studies have documented the concentration of elite network connections in American finance. A 2018 analysis of senior leaders at the top 50 American financial institutions found that a disproportionate share had attended a small number of elite universities — and that the within-institution network (graduates of the same school hiring other graduates of the same school) was a stronger predictor of senior hiring than any publicly available credential measure.

The mechanism operates through referrals, which are the dominant hiring channel in elite finance. The vast majority of positions at top investment banks, private equity firms, and hedge funds are filled through referral processes that never appear in public job listings. A partner recommends a candidate from their network. The candidate is interviewed by other partners, several of whom share the same alma mater. The shared social vocabulary — knowing the same professors, having participated in the same campus institutions, having mutual acquaintances — generates the chemistry that gets interpreted as "strong culture fit."

For candidates outside these networks, the structural hole between their world and the partner-level decision-makers is essentially uncrossable through individual effort alone. The opportunity information exists in a cluster they cannot access; the referral mechanisms operate within a network they're not part of.

Law: The Clerkship Pipeline

In American law, the pipeline to top law firms, federal agencies, and the federal judiciary runs explicitly through a small set of elite law schools and through federal clerkships — particularly clerkships with federal appellate judges and Supreme Court justices.

Research on federal clerkship hiring found that a handful of elite law schools supply a dramatically disproportionate share of clerks — particularly to the federal appellate courts and the Supreme Court. The hiring decisions of these clerkships are made through a process that is formally based on academic credentials and writing samples, but that operates in practice through networks of professors who personally know the judges, alumni who have clerked in the same chambers, and informal vouching relationships that are invisible to outsiders.

The cascading effect is significant: clerks become, upon completion of their clerkships, preferred candidates for positions at the top law firms, at the Department of Justice, at elite academic institutions, and eventually (for some) on the federal bench themselves. The informal network advantage from a single clerkship opportunity — which was itself obtained through informal network access — compounds across an entire career.

This is structural hole brokerage at institutional scale. The professors who know the judges sit at structural holes between the student population and the judiciary. But their brokerage is highly selective — exercised primarily for students from their own institutions and within their existing network of trust.

Politics and Government: The "Interlock"

Political scientists have long documented what they call "interlocking" among elite institutions — the patterns by which the same individuals circulate across corporate boards, nonprofit boards, government positions, and think tanks, creating a densely connected elite network.

C. Wright Mills described this in The Power Elite (1956): the same people appear on multiple boards, in multiple industries, in government and private life, connected through shared educational backgrounds, social clubs, and family connections. This network functions as a continuous information-sharing and mutual-vouching system. When a government position needs to be filled, the informal network produces candidates who are already known to the decision-makers. When a corporate board needs a new member, the same process runs.

For people outside this network, the access problem is not just individual — it's institutional. The structural holes between elite political networks and the general population are maintained by systems (alumni networks, club memberships, social geography of vacation and leisure) that are expensive to enter and largely hereditary.

The Luck Gap: What the Data Shows

The research on networks in hiring does not just describe the mechanism. It quantifies the outcome: a luck gap, measurable in income and career trajectory, that operates along network access lines.

The Chetty Evidence

Economist Raj Chetty and collaborators published a series of papers beginning in 2023 using data from LinkedIn's Economic Graph — information on the career trajectories of hundreds of millions of professionals — matched to other datasets to identify the network-based predictors of income mobility.

One of the most striking findings: "exposure diversity" — the degree to which your social network included people from different economic backgrounds — was a stronger predictor of upward economic mobility than any other measurable social factor studied, including the quality of local schools, local economic conditions, or individual educational attainment.

Chetty's team found that counties and communities with higher cross-class social interaction — where people of different economic backgrounds actually formed social connections — produced significantly higher rates of upward mobility for children born into low-income families, even controlling for other factors. The mechanism they identified: cross-class connections provide access to job referrals, career knowledge, and social capital that are simply unavailable within low-income homogeneous networks.

The implication is stark: where a child grows up determines the social capital they have access to, which determines their bridging capital, which determines their exposure to opportunity information. This is positional luck at the largest scale — determined before an individual makes any choices, operating through mechanisms that individual effort can partially but not fully overcome.

The Audit Study Evidence

A parallel line of research uses "audit studies" — controlled experiments in which identical applications are sent to real employers with slight variations in signals — to measure the direct effect of network signals on hiring.

Studies have consistently found: - Applications with signals of elite educational background (school name, extracurricular signals of class background) receive significantly higher positive response rates from elite firms, even when the applications are otherwise identical - Applications accompanied by signals of personal connection to the hiring manager (even a brief mention of a mutual acquaintance) dramatically increase interview rates - The size of the name-recognition effect (elite school vs. non-elite) is comparable to the size of the racial disparity measured in similar studies — suggesting that network/class signals and race signals operate at similar magnitudes in employer decision-making

What these studies collectively establish is that hiring decisions in elite fields are not primarily credentials tournaments. They are network tournaments, in which the presentation of network-related signals (school name, mutual connection, club membership) shapes outcomes in ways that interact with and sometimes override raw qualifications.

The Self-Reinforcing Mechanism

One of the most important features of old boys' networks — and the most challenging from an equity perspective — is that they are self-reinforcing.

The mechanism operates through several interlocking cycles:

Trust homophily: People tend to trust people who are similar to them — who share their background, vocabulary, social references, and implicit norms. In hiring, this produces a preference for candidates who already belong to the network, not because of any explicitly discriminatory intent, but because familiarity-generated trust is a real and powerful factor in evaluation.

Referral concentration: When high-quality opportunities are filled through referrals, those referrals come from existing network members. Existing network members refer people they know — who are, by definition, already within the network. This creates a positive feedback loop: network membership generates referral access, which generates opportunities, which generates success, which generates more network membership through alumni status and professional achievement.

The alumni effect: Elite institutions' alumni networks provide ongoing access to a concentrated set of successful, influential people. This is not incidental — it is a core selling point of elite schools, and schools invest substantial resources in maintaining alumni connection systems. The result is that the network advantage of attending a specific school compounds over time, as each graduating cohort enters the workforce and adds another layer to the referral infrastructure.

Credentials as entry tickets: Formal credentials (degrees, grades, certifications) function as entry tickets to the credential-based portion of hiring — ensuring that candidates aren't screened out before they can deploy their network advantages. For network-rich candidates, credentials open the door; for network-poor candidates, credentials may be necessary but are insufficient, because the network-based stages of hiring are inaccessible.

The Response: Can Individuals Overcome Structural Network Disadvantage?

Given the evidence for structural network inequality, a crucial question arises: can individuals overcome poor network starting positions through deliberate effort?

The honest answer: yes, partially, with significant constraints.

What individual action can do: - First-generation professionals who deliberately identify and cultivate cross-class bridging connections do close some of the network gap over time. Research on first-generation college students who successfully broke into elite careers consistently shows patterns of deliberate, strategic network-building — identifying and cultivating mentors across classes, strategically choosing internship placements that maximized network exposure, using institutional resources (career centers, alumni programs) to access individuals they couldn't reach through family networks. - Organizations such as Management Leadership for Tomorrow, the Posse Foundation, and similar pipeline programs explicitly attempt to provide first-generation and underrepresented students with the social capital infrastructure that elite network membership would otherwise provide.

What individual action cannot fully do: - The cumulative advantage of a well-positioned starting network — built over decades through family connection, social community, and elite educational experience — is not replicable through a few years of deliberate network-building. The magnitude of the head start is simply too large for individual effort alone to close. - The informal trust mechanisms that make old boys' networks function — shared references, shared social experiences, deep mutual familiarity — are not easily replicated by a professional who enters the network from outside. Outsiders who successfully enter often report experiencing persistent subtle markers of not fully belonging, even after years of professional presence. - Systemic change in opportunity luck distribution likely requires systemic responses: institutional transparency in hiring, explicit policies to expand the referral pool, mentorship and sponsorship programs specifically designed for people outside traditional networks.

Discussion Questions

1. The research on old boys' networks describes a system that self-reinforces without requiring explicit discrimination. Does this make it more or less problematic than explicit discrimination? What would need to change for the self-reinforcing cycle to break?

2. Consider a specific elite field you're familiar with or aspire to enter. Where are the network structures that function as described in this case study? Who currently has access? Who doesn't? What would your individual strategy be for navigating this landscape?

3. The Chetty research suggests that cross-class social exposure — simply having relationships with people from different economic backgrounds — is one of the strongest predictors of upward mobility. What structural changes in how communities, schools, and universities are organized would increase this kind of exposure?

4. If you attended or plan to attend an elite educational institution, you have or will have access to a powerful network. What are the ethical obligations that come with that access? How can you use it in ways that are genuinely inclusive rather than perpetuating the same exclusionary patterns?

Key Takeaways from This Case Study

• Old boys' networks in finance, law, and politics create and sustain luck gaps through informal trust mechanisms, referral concentration, and alumni network effects that compound over careers.
• Research (Chetty et al., audit studies, organizational sociology) has quantified the magnitude of the network effect on hiring and income mobility, finding it comparable to or exceeding formal credential effects in many elite contexts.
• The mechanism is primarily self-reinforcing rather than explicitly discriminatory: trust homophily, referral concentration, and alumni systems produce network advantages without requiring conscious exclusionary intent.
• Individual action (deliberate bridge-building, strategic network cultivation) can partially overcome poor network starting positions, but the magnitude of structural advantage cannot be fully closed through personal effort alone.
• Systemic equity in opportunity luck distribution likely requires systemic responses: transparent hiring processes, explicit referral pool expansion, and sponsorship programs for people outside traditional networks.