Analyst Scrutiny Shrinks the Gender Pay Gap for Top Executives

The Unlikely Bureaucrats Who Shrunk the Executive Pay Gap

Here is a fact that should make you pause. Between 1992 and 2016, for every additional financial analyst who started covering a publicly traded company in the United States, the gap between what that company paid its top male and female executives shrank by a measurable amount. Not by a miracle. Not by a new diversity initiative. By a simple, boring, and deeply human mechanism: someone was watching.

The finding comes from a new study by Massimo Maoret, Solon Moreira, and H. Sabancı, published in Organization Studies (Maoret et al., 2023). The authors analyzed 38,211 executives across 3,473 S&P 1500 firms over 24 years. Their central claim is counterintuitive. Financial analysts are not known for their progressive politics. They are known for spreadsheets, earnings calls, and obsessive focus on quarterly profits. Yet Maoret and his colleagues found that these analysts, simply by doing their jobs, acted as unlikely pressure valves on one of the most stubborn inequalities in corporate America.

The gender pay gap among top executives is not a small problem. It is a structural one. Female executives in the sample earned significantly less than their male peers even when controlling for job title, tenure, firm performance, and industry. The gap has persisted for decades despite public outcry, boardroom promises, and a parade of diversity reports. What changed it, according to this research, was not a moral awakening. It was attention.

What Analysts Actually Do

Financial analysts are the corporate world's professional gossips. They follow companies, model their earnings, and issue buy or sell recommendations. But their real power is subtler. They translate opaque corporate behavior into a language that investors, journalists, and other stakeholders can understand. When an analyst covers a firm, she or he produces reports, holds conference calls, and asks pointed questions on quarterly earnings calls. This creates a paper trail.

Maoret et al. (2023) argue that this paper trail does two things. First, it raises the attention of other stakeholders. If an analyst notes that a firm's top female executives are paid suspiciously less than their male counterparts, that observation enters the public record. Journalists might pick it up. Activist investors might flag it. Board members, who are famously busy and famously distracted, might suddenly have to answer for it.

Second, analyst coverage reduces what economists call information asymmetries. In plain English: it makes it harder for firms to hide what they are doing. If a company is systematically underpaying its female executives, that information leaks out through analyst reports. The executive labor market becomes more transparent. A female executive who knows she is underpaid has better ammunition to negotiate. A board that knows its pay practices are public is more likely to correct them before they become a scandal.

The authors tested this with a clever natural experiment. They looked at what happened when brokerage houses closed. When an analyst lost her job because her firm shut down, the companies she used to cover suddenly lost a pair of eyes. The result? The gender pay gap at those companies widened again. This is not correlation. It is causation. The analysts were not just associated with smaller pay gaps. They were causing them.

The Numbers That Matter

The study is not small. It covers nearly 40,000 executives. It controls for firm size, industry, performance, and even individual executive characteristics like age, tenure, and whether the executive sits on the compensation committee. The authors used a statistical technique called fixed effects regression, which essentially compares each firm to itself over time. This eliminates the possibility that the result is driven by some firms simply being more equitable than others.

Here is what they found. A one standard deviation increase in analyst coverage (roughly 5 to 6 more analysts covering a firm) is associated with a reduction in the gender pay gap of about 4 to 6 percent. That may not sound huge. But consider that the gap at the top of the S&P 1500 has hovered around 20 to 30 percent for decades. A 5 percent reduction is a meaningful dent. And it is a dent that comes from a mechanism that costs the company nothing. No new policy. No diversity consultant. Just more people watching.

The effect was strongest at firms where the gap was largest. That makes intuitive sense. If a firm is already paying its executives fairly, an analyst's report will not change much. But if a firm is egregiously underpaying its female executives, the analyst's scrutiny is more likely to expose something that looks bad. And boards hate looking bad.

Why This Works

The mechanism here is not altruism. Analysts are not crusaders for gender equality. They are motivated by their own incentives: accuracy, reputation, and career advancement. But in pursuing those goals, they produce a public good. This is a classic case of what economists call an externality. The analyst's report is written for investors, but its side effect is to make pay discrimination harder to sustain.

The authors draw on two theoretical frameworks. The first is stakeholder theory, which holds that firms are not just accountable to shareholders but to a broader set of actors: employees, customers, communities. Analysts are a particularly powerful stakeholder because they have access, credibility, and a platform. The second is the attention based view of the firm, which argues that organizational behavior is shaped by what leaders pay attention to. Analysts do not just provide information. They direct attention. A board that was ignoring the pay gap might suddenly notice it because an analyst asked about it on an earnings call.

There is a dark side to this story. The effect only works when analysts are paying attention. And analysts pay attention to firms that are large, visible, and profitable. The S&P 1500 firms in this study are the corporate elite. They are the companies that get covered. What about the thousands of smaller firms where the pay gap might be even worse but no one is watching? The mechanism does not apply there. Analyst coverage is a privilege, not a right. And the firms that need scrutiny the most are often the ones that receive the least.

What This Does Not Prove

The study is careful about its limits. It does not claim that analyst coverage solves the gender pay gap. It claims that it reduces it. The gap persists even under high analyst coverage. It is smaller, not gone.

The study also does not tell us why the gap exists in the first place. Is it outright discrimination? Is it that female executives negotiate less aggressively? Is it that they are steered into lower paying roles? The data cannot answer that. What the data shows is that when attention is applied, the gap shrinks. The mechanism of the gap might be different at different firms. But the cure seems to be the same: transparency.

There is a risk of over interpreting these results. One might conclude that we just need more analysts. That would be naive. Analysts are expensive. They cover only the biggest firms. And their attention is fickle. A scandal at one company can cause analysts to drop coverage of another. The mechanism is fragile.

A more interesting question is whether other forms of attention could replicate the effect. What about investigative journalists? What about shareholder activists? What about AI tools that scrape public data and flag pay disparities? The study suggests that any actor who can reduce information asymmetries and raise stakeholder attention might have a similar effect. Analysts are just the ones who happened to do it first.

The Broader Lesson

This study is part of a larger shift in how researchers think about inequality. The old view was that discrimination is a matter of bad intentions. Fix the intentions, fix the problem. The new view, which this paper supports, is that discrimination is often a matter of information. People do not always intend to pay women less. They just do not realize they are doing it. Or they realize it but assume no one else will notice. Or they notice but decide the cost of fixing it is higher than the cost of ignoring it.

Analyst coverage changes that calculation. It makes the invisible visible. It imposes a cost on ignoring the gap. That cost is not a fine or a lawsuit. It is reputational. It is the cost of having to answer a question on an earnings call. It is the cost of a board member having to explain to a journalist why a female executive with better performance metrics earns less than a male peer.

The authors put it this way: analyst coverage reduces the "plausible deniability" of pay discrimination. That is the real mechanism. Once the information is public, the board cannot pretend it did not know. And once they know, they have to act.

What This Actually Means

• ▸If you are a board member or a compensation committee chair, stop waiting for a moral epiphany. The data says that the most effective force for closing the executive pay gap is not a new policy but simple transparency. Make your pay data public. Let analysts, journalists, and employees see it. The gap will shrink not because people become kinder, but because they cannot afford the reputational cost of ignoring it.

• ▸If you are an executive woman negotiating your compensation, ask who covers your firm. If your company is heavily followed by analysts, you have leverage. The analysts are doing part of your work for you. They are making your pay visible. Use that. If your firm is not covered, the asymmetry is worse. You may need to create your own transparency, perhaps by sharing salary data with peers.

• ▸If you are a policymaker, do not assume that regulation is the only path. This study suggests that market mechanisms can reduce inequality if the right conditions exist. Mandating more analyst coverage is not practical. But mandating pay transparency might be. The logic is the same: make the data visible, and the gap will shrink.

• ▸If you are a journalist, this is a story about power. The people who watch the watchers matter. Analysts are not heroes. They are just people with spreadsheets. But their presence creates a check on behavior that would otherwise remain hidden. The lesson is that the most effective inequality fighters are often not activists. They are bureaucrats. And sometimes, that is enough.