We study whether mandatory surveys of patient experience affects patient mortality in U.S. hospitals. We exploit two settings where healthcare regulators mandated the Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey: the 2003 Maryland pilot study and the 2007 nationwide adoption. Difference-indifferences analyses show increased mortality for hospitals that were subject to the mandate, relative to other comparable hospitals. We observe this effect before hospitals disclose their HCAHPS ratings, which suggests that it is attributable to measurement, rather than to disclosure. An analysis of changes in hospital expenses shows that, after the mandate, affected hospitals experienced a relative increase (decrease) in non-clinical (clinical) expenses. This finding is consistent with theories of multitasking, which predict that more incentives for one task (in this case, patient experience) cause some reallocation of resources from other tasks (clinical care).

Firms sometimes obtain soft private information about growth prospects along with hard information about current or past performance. In this environment, we find that optimizing disclosures over multiple periods yields nonlinear stock price reactions following both voluntary and mandatory disclosures. Further, we derive several predictions about distinct short‐run and long‐run effects of disclosures and nondisclosures on security prices. Under specified conditions, when the volatility of the firm's earnings increases, the average contemporaneous and prospective post‐mandatory‐disclosure market premia (for voluntary disclosures over nondisclosures) rise, while farther‐in‐future market discounts (for such voluntary disclosures) also become larger. Our analysis moreover predicts that both the disclosure probability and the information content of nondisclosures can increase in the persistence of earnings.

We study the effects of disclosure in a dynamic market with imperfect competition. The supply of an asset is determined by a large shareholder with price impact, who trades slowly to diversify away from concentrated ownership. Small investors provide capital and thus risk-bearing capacity to the market. Although it is well known that disclosure impedes risk sharing by shifting risk before future trading opportunities, we show that disclosure, at the same time, can enhance risk sharing by promoting more trades. Resolving this tradeoff, an interior level of disclosure quality maximizes the small investors’ surplus as well as the total surplus, but minimizes the large shareholder’s surplus. Further, efficient disclosure policies feature increasing quality over time.

Does managing the production of information add value in economic environments where a manager may claim to be uninformed and withhold unfavorable news? We examine this question by nesting an optimal persuasion mechanism, controlling how evidence is organized, within a voluntary disclosure framework. Information has productive consequences because the firm uses it to make a continuous operating decision. The optimal reporting strategy features coarse information at the most unfavorable reported event if and only if the firm bears penalties for nondisclosure or positive disclosure costs. The model demonstrates the optimality of imprecise information over bad news in a voluntary disclosure environment, and that such imprecision increases the quality of public signals after considering strategic disclosure effects.

Using misstatement data, we find that the distribution of detected fraud features a heavy tail. We propose a theoretical mechanism that explains such a relatively high frequency of extreme frauds. In our dynamic model, a manager manipulates earnings for personal gain. A monitor of uncertain quality can detect fraud and punish the manager. As the monitor fails to detect fraud, the manager's posterior belief about the monitor's effectiveness decreases. Over time, the manager's learning leads to a slippery slope, in which the size of frauds grows steeply, and to a power law for detected fraud. Empirical analyses corroborate the slippery slope and the learning channel. As a policy implication, we establish that a higher detection intensity can increase fraud by enabling the manager to identify an ineffective monitor more quickly. Further, nondetection of frauds below a materiality threshold, paired with a sufficiently steep punishment scheme, can prevent large frauds.

We study the impact of asymmetric (i.e., conservative or aggressive) disclosure on a firm’s price in the classic setting in which its stock is traded by risk-averse investors and noise or liquidity traders. We show that asymmetric accounting policies alter the relative risk faced by investors when they short versus long, which causes market liquidity to differ for positive versus negative demand shocks. As a result, accounting conservatism raises firms’ valuations and lowers their expected returns. We further demonstrate that the relationship between accounting informativeness and expected returns depends upon the skewness of investors’ prior beliefs. Finally, we find that a firm that can commit to an accounting policy can tailor this policy to benefit from noise trade and foster overvaluation.