We study the Markov equilibria of a model of free riding in which n infinitely lived agents choose between private consumption and irreversible contributions to a durable public good. We show that the set of equilibrium steady states converges to a unique point as depreciation converges to zero. For any level of depreciation, moreover, the highest steady state converges to the efficient level as agents become increasingly patient. These results are in contrast to the case with reversible investments, where a continuum of inefficient equilibrium steady states exists for any level of depreciation, discount factor, and size of population.

The share of household resources devoted to children is hard to identify because consumption is measured at the household level and goods can be shared. Using semiparametric restrictions on individual preferences within a collective model, we identify how total household resources are divided up among household members by observing how each family member's expenditures on a single private good like clothing vary with income and family size. Using data from Malawi we show how resources devoted to wives and children vary by family size and structure, and we find that standard poverty indices understate the incidence of child poverty.

This study isolates the causal effects of financial literacy and schooling on wealth accumulation using a new household dataset and an instrumental variables (IV) approach. Financial literacy and schooling attainment are both strongly positively associated with wealth outcomes in linear regression models, whereas the IV estimates reveal even more potent effects of financial literacy. They also indicate that the schooling effect only becomes positive when interacted with financial literacy. Estimated impacts are substantial enough to imply that investments in financial literacy could have large wealth payoffs.

Integrated GDP-Productivity Accounts by Michael J. Harper, Brent R. Moulton, Steven Rosenthal and David B. Wasshausen. Published in volume 99, issue 2, pages 74-79 of American Economic Review, May 2009

We investigate whether issuers on negative credit watch manage earnings upward and whether such earnings management favorably influences the watch resolution. We find that rating, industry, and performance matched discretionary accruals reported during negative watch are significantly higher than their respective pre- and post-watch levels, after controlling for accrual reversal. Consistent with its opportunistic nature, we find that accrual management increases with issuers' incentives to avoid downgrade, and decreases with their earnings management constraints and the strength of the external monitoring. Surprisingly, such accrual management significantly increases the likelihood of a favorable resolution—issuers in the top half of the discretionary accruals distribution are 24 percent less likely to be downgraded than those in the propensity score matched bottom half. We find that issuers that avoid downgrades through income-increasing accrual management significantly underperform those that do not over the ensuing year, mitigating the signaling or measurement error explanations for our results. Finally, we find that accrual management does not reflect attempts to improve short-term credit quality.

Calls from practice suggest that audit committee members with industry expertise can improve audit committee effectiveness. Nevertheless, regulators and the extant literature have focused on the financial expertise of the audit committee. We posit that audit committee industry knowledge is valuable because accounting guidance, estimates, and oversight of the external auditor are often linked to a company's operations within a particular industry. Taking a holistic view, we examine two measures of financial reporting quality (financial restatements and discretionary accruals) and two measures of external auditor oversight (audit and nonaudit fees). As predicted, we find that audit committee members who are both accounting and industry experts perform better than those with only accounting expertise. We also find that in certain instances, supervisory experts who are also industry experts perform better than supervisory experts alone. Overall, these results suggest that industry expertise, when combined with accounting expertise, can improve the effectiveness of the audit committee in monitoring the financial reporting process. Data Availability: All data are gathered from publicly available sources.

This study addresses whether firms’ share prices correctly reflect two accounting measures: dirty surplus and really dirty surplus. Dirty surplus is readily observable from the financial statements, but really dirty surplus, which arises from recognizing equity transactions such as employee stock option exercises at other than fair market value, is not. Findings show that dirty surplus and really dirty surplus are irrelevant for forecasting abnormal comprehensive income. However, findings also indicate that investors appear to undervalue really dirty surplus. Hedge returns are insignificant when portfolios are formed based on dirty surplus, but are significantly positive based on really dirty surplus. Really dirty surplus positive hedge returns are robust to a variety of sensitivity tests. Taken together, the findings are consistent with either investors over-valuing firms that have large negative really dirty surplus or really dirty surplus being correlated with an unmodeled risk factor.

We present the results of a field experiment conducted at Harvard Medical School to understand the extent to which search costs affect matching among scientific collaborators. We generated exogenous variation in search costs for pairs of potential collaborators by randomly assigning individuals to 90-minute structured information-sharing sessions as part of a grant funding opportunity. We estimate that the treatment increases the probability of grant co-application of a given pair of researchers by 75%. The findings suggest that matching between scientists is subject to considerable frictions, even in the case of geographically-proximate scientists working in the same institutional context.

We find that the majority of variation in leverage ratios is driven by an unobserved time‐invariant effect that generates surprisingly stable capital structures: High (low) levered firms tend to remain as such for over two decades. This feature of leverage is largely unexplained by previously identified determinants, is robust to firm exit, and is present prior to the IPO, suggesting that variation in capital structures is primarily determined by factors that remain stable for long periods of time. We then show that these results have important implications for empirical analysis attempting to understand capital structure heterogeneity.

We test the doubly stochastic assumption under which firms' default times are correlated only as implied by the correlation of factors determining their default intensities. Using data on U.S. corporations from 1979 to 2004, this assumption is violated in the presence of contagion or “frailty” (unobservable explanatory variables that are correlated across firms). Our tests do not depend on the time‐series properties of default intensities. The data do not support the joint hypothesis of well‐specified default intensities and the doubly stochastic assumption. We find some evidence of default clustering exceeding that implied by the doubly stochastic model with the given intensities.