This study examines (1) whether network ties help explain variation in tax avoidance, and (2) how the relation between network ties and tax avoidance varies depending on the nature and context of those ties. We posit that information on a range of tax-avoidance strategies is shared among firms through their social network connections. Using board interlocks to proxy for these connections, we find that firms with greater board ties to low-tax firms have lower cash ETRs themselves. Ties to low-tax firms are more influential when the focal firm and its network partner are operationally and strategically similar, as are ties created by executive directors. Board ties to low-tax firms are also more influential when the focal firm and its network partner engage the same local auditor. Overall, our results suggest that the influence of firms' network ties on their tax-avoidance behavior depends on the character of those ties.

Corporate investment decisions require managers to forecast expected future cash flows from potential investments. Although these forecasts are a critical component of successful investing, they are not directly observable by external stakeholders. In this study, we investigate whether the quality of managers' externally reported earnings forecasts can be used to infer the quality of their corporate investment decisions. Relying on the intuition that managers draw on similar skills when generating external earnings forecasts and internal payoff forecasts for their investment decisions, we predict that managers with higher quality external earnings forecasts make better investment decisions. Consistent with our prediction, we find that forecasting quality is positively associated with the quality of both acquisition and capital expenditure decisions. Our evidence suggests that externally observed forecasting quality can be used to infer the quality of capital budgeting decisions within firms.

We employ a comprehensive data set and a variety of methods to provide evidence on the magnitude of large banks’ funding advantage in Canada in addition to the extent to which market discipline exists across different securities issued by the Canadian banks. The banking sector in Canada provides a unique setting in which to examine market discipline along with the prospects of proposed reforms because Canada has no history of government bailouts, and an implicit government guarantee has been in effect consistently since the 1920s. We find that large banks have a funding advantage over small banks after controlling for bank-specific and market risk factors. Large banks on average pay 80 basis points and 70 basis points less, respectively, on their deposits and subordinated debt. Working with hand-collected market data on debt issues by large banks, we also find that market discipline exists for subordinated debt and not for senior debt.

We measure the effect of a 2006 antipredatory pilot program in Chicago on mortgage default rates to test whether predatory lending was a key element in fueling the subprime crisis. Under the program, risky borrowers or risky mortgage contracts or both triggered review sessions by housing counselors who shared their findings with the state regulator. The pilot program cut market activity in half, largely through the exit of lenders specializing in risky loans and through a decline in the share of subprime borrowers. Our results suggest that predatory lending practices contributed to high mortgage default rates among subprime borrowers, raising them by about a third.

Prior studies find that CEOs receive higher pay if the enterprise is more complex because more complex enterprises are, in theory, matched with the managerial skills of higher-ability CEOs. While multinational diversification is typically a characteristic of enterprise complexity, we argue that multinational diversification also introduces a risk that executives will divert an enterprise’s resources to obtain private benefits. We first establish that CEO pay is, on average, increasing in the extent of multinational diversification, consistent with intuition that more complex enterprises are matched to higher‐ability CEOs. We then demonstrate that the CEO pay‐for‐complexity premium is lower if the multinational diversification reflects a relatively high risk of managerial diversion. For sufficiently high levels of multinational diversification accompanied by a high risk of managerial diversion, we find that CEOs receive a relative reduction in pay rather than a pay premium for multinational diversification. We also find evidence that this pay effect occurs in part through adjustments to a CEO’s pay‐for‐performance sensitivity.

We develop two measures of board composition to investigate whether directors appointed by the CEO have allegiance to the CEO and decrease their monitoring. Co-option is the fraction of the board comprised of directors appointed after the CEO assumed office. As Co-option increases, board monitoring decreases: turnover-performance sensitivity diminishes, pay increases (without commensurate increase in pay-performance sensitivity), and investment increases. Non-Co-opted Independence—the fraction of directors who are independent and were appointed before the CEO—has more explanatory power for monitoring effectiveness than the conventional measure of board independence. Our results suggest that not all independent directors are effective monitors.

We analyze call announcement returns taking into account two recent developments in the convertible bond market: the inclusion of dividend protection clauses in convertibles' terms, and the high fraction of convertible issues purchased by hedge funds. Calls of dividend-protected convertible bonds are predictable, yet we still observe a negative stock price reaction that cannot be explained by signaling. Greater hedge fund involvement prior to a call means less short selling in response to the call and we document a reduced price reaction. We conclude that price pressure and not signaling underlies the negative announcement effect of convertible bond calls.

Rent-sharing by workers can reduce the incentives for investment if some of the returns to sunk capital are captured in higher wages. We propose a simple measure of this "holdup" effect based on the size of the wage offset for firm-specific capital accumulation. Using Social Security earnings records for workers in the Veneto region of Italy linked to detailed financial data for their employers, we find strong evidence of rent-sharing, with an elasticity of wages with respect to potential rents per worker of around 4%, arising mainly at larger firms with higher price-cost margins. On the other hand, we find little evidence that bargaining lowers the return on investment. Instead, firm-level bargaining appears to split the rents after deducting the full cost of capital.

In the regression-discontinuity (RD) design, units are assigned to treatment based on whether their value of an observed covariate exceeds a known cutoff. In this design, local polynomial estimators are now routinely employed to construct confidence intervals for treatment effects. The performance of these confidence intervals in applications, however, may be seriously hampered by their sensitivity to the specific bandwidth employed. Available bandwidth selectors typically yield a “large” bandwidth, leading to data-driven confidence intervals that may be biased, with empirical coverage well below their nominal target. We propose new theory-based, more robust confidence interval estimators for average treatment effects at the cutoff in sharp RD, sharp kink RD, fuzzy RD, and fuzzy kink RD designs. Our proposed confidence intervals are constructed using a bias-corrected RD estimator together with a novel standard error estimator. For practical implementation, we discuss mean squared error optimal bandwidths, which are by construction not valid for conventional confidence intervals but are valid with our robust approach, and consistent standard error estimators based on our new variance formulas. In a special case of practical interest, our procedure amounts to running a quadratic instead of a linear local regression. More generally, our results give a formal justification to simple inference procedures based on increasing the order of the local polynomial estimator employed. We find in a simulation study that our confidence intervals exhibit close-to-correct empirical coverage and good empirical interval length on average, remarkably improving upon the alternatives available in the literature. All results are readily available in R and STATA using our companion software packages described in Calonico, Cattaneo, and Titiunik (2014d, 2014b).