Knowledge that Transforms

Firms typically design incentive systems to motivate employees and advance firm objectives, including productivity (i.e., maximizing output) and efficiency (i.e., minimizing input). However, there remains little empirical research on the potential psychological effects of adopting a productivity versus efficiency focus on employee risk perceptions and decision-making. To address this important gap, we examine how these different incentive foci affect employee target setting under participative budgets. We predict and find that employees perceive efficiency incentives as riskier than productivity incentives, leading to lower target setting. Moreover, consistent with our theory, this effect disappears in the absence of outcome uncertainty. We also find employees are less likely to achieve their target and have higher error rates under efficiency incentives, despite setting easier targets. Overall, our findings suggest that efficiency incentives, relative to productivity incentives, can have detrimental effects on target setting and subsequent performance in participative budgeting settings. Data Availability: Contact the authors.

People’s right to free speech can have profound effects on how firms discharge their social and environmental responsibilities. We examine these effects by analyzing the impact of the staggered enactment of anti-SLAPP free speech laws across U.S. states on firms’ corporate social responsibility (CSR) behavior. We theorize that, following the enactment of anti-SLAPP laws, firms enhance their CSR activities as an economically effective means to counter negative publicity from stakeholders. Supporting this idea, we find that firm CSR activity increases after the enactment of anti-SLAPP laws, accompanied by an increase in stakeholder criticism of firms’ social and environmental practices. Further, we observe an increase in the level of CSR disclosure. The link between anti-SLAPP law enactment and subsequent CSR engagement is stronger in states with more comprehensive anti-SLAPP protections than in those with weaker protections. Data Availability: From public sources identified in the study. Some may require a subscription.

Using US Supreme Court’s narrow-decision on Shelby v. Holder as a shock that diluted voting rights of Black Americans in covered counties, we document the relationship between political voice and economic decision-making. We show fewer Black Americans buy homes after their de-facto disenfranchisement, reflected through lower mortgage applications. Among those who apply for mortgages, there is a flight to Black lenders. Leveraging individual-level survey data, we show confidence in government and financial institutions plays a significant role in driving these effects. Our findings demonstrate that the effects of disenfranchisement extend beyond the ballot box to fundamental economic decisions like homeownership.

Organizational learning (OL) is a critical organizational capability. Yet designing management control (MC) that effectively supports OL is challenging, as learning outcomes are often intangible and unfold over extended time horizons. Employing situational strength theory, we examine combinations of MC practices that affect OL contingent on environmental uncertainty. Drawing on a survey of 210 senior business unit controllers, we use fuzzy-set Qualitative Comparative Analysis (fsQCA) to identify multiple combinations of MC practices that achieve high OL in different uncertainty contexts. In a subsequent step, we examine whether the situational strength of certain combinations of MC practices is associated with OL. Results show that in a low-uncertainty environment, the combined use of diverse performance measures and social controls, as well as performance pay and a mechanistic administrative structure, have a synergetic effect on OL. In a high-uncertainty context, the combined use of measure diversity and deliberate formal strategic planning is beneficial for achieving OL. Our results suggest that the effectiveness of MC practices for OL depends on aligning MC practices with the internal as well as the external context.

We collect 2,848 instrumental variable (IV) regressions from 391 papers published in top economics and finance journals and show that estimated IV coefficients are often much larger than their OLS counterparts, even when theory suggests they should be smaller. We derive meta-regression estimators that distinguish measurement error bias from omitted variable bias and simultaneity bias; applying our estimators to a set of 1,040 comparable regressions from 139 papers, we find that measurement error shrinks reported coefficients by about two to four times. Measurement error remains quantitatively important even after accounting for weak instruments, publication bias, instrument invalidity, and heterogeneous treatment effects. Our results suggest that measurement error is a severe, pervasive, and understated source of bias in economics and finance.

Prior studies on cryptocurrency momentum overlook liquidation risk and other real-world frictions and inadequately assess its profitability. We evaluate time-series and cross-sectional momentum addressing these issues. When portfolios are marked to market daily, many cross-sectional momentum portfolios are liquidated, and those with statistically significant mean returns often earn negative profits. The mean return is insufficient for testing profitability in the cryptocurrency market, where returns are heavily skewed and fat-tailed. Evidence of time-series momentum is strong, whereas evidence of cross-sectional momentum is almost nonexistent. Investor overconfidence and the disposition effect appear to be important drivers of cryptocurrencies’ price dynamics.