This study considers the role of accounting in moments of resistance in day-to-day institutional contexts. It does so by drawing on the perspectives of Mikhail Bakhtin (1981 , 1984 , 1986) – a Russian philosopher who sought to understand the notion of dialogue in everyday communicative practices. We study these moments of resistance within the context of non-governmental organizations (NGOs) – organizations affected by authoritative discourses of accountability that seek representative, tangible and verifiable understandings of impact and performance. Within our empirical study, we show how accounting reports related to performance and impact gradually moved along a continuum from being received in authoritative mode to internally persuasive mode and how, as a result, resistance to an authoritative discourse of accountability was created and maintained. We found that this was enabled through the reception and promotion of accounting’s subjunctive possibilities.

What mental models do individuals use to approximate their tax schedule? Using incentivized forecasts of the U.S. Federal income tax schedule, we estimate the prevalence of the “schmeduling” heuristics for constructing mental representations of nonlinear incentive schemes. We find evidence of widespread reliance on the “ironing” heuristic, which linearizes the tax schedule using one’s average tax rate. In our preferred specification, 43% of the population irons. We find no evidence of reliance on the “spotlighting” heuristic, which linearizes the tax schedule using one’s marginal tax rate. We show that the presence of ironing rationalizes a number of empirical patterns in individuals’ perceptions of tax liability across the income distribution. Furthermore, while our empirical framework accommodates a rich class of other misperceptions, we find that a simple model including only ironers and correct forecasters accurately predicts average underestimation of marginal tax rates. We replicate our finding of prevalent ironing, and a lack of other systematic misperceptions, in a controlled experiment that studies real-stakes decisions across exogenously varied tax schedules. To illustrate the policy relevance of the ironing heuristic, we show that it augments the benefits of progressive taxation in a standard model of earnings choice. We quantify these benefits in a calibrated model of the U.S. tax system.

Using data from the Stockholm Stock Exchange (SSE), we study the value added by (as distinct from the abnormal returns to) analysts’ recommendations. Recommending brokers’ clients trade profitably around positive recommendations at the expense of other brokers’ clients. Significant profits come from transactions before recommendation dates. Value added is greatest for upgrades to large caps, and largely insignificant for downgrades and recommendations of small caps, despite high abnormal returns. Brokers making profitable recommendations generate abnormally high commission income, recouping much of their clients’ abnormal profits, and their abnormal commission income varies in line with the abnormal profits for their clients.

The total effects of a regulatory change consist of direct effects and indirect effects (spillovers), but the standard difference-in-difference approach mostly ignores potential indirect effects. During the 2007 full repeal of the uptick rule, short-sellers become much more aggressive across the board, even in control stocks where the uptick rule is already suspended. This finding is consistent with positive and significant indirect effects on control stocks, likely driven by aggressive broad list-based shorting. In contract, the indirect effect coefficients on shorting aggressiveness are negative for the 2005 partial uptick repeal, possibly due to substitutions between control and treatment stocks.

We examine the macroeconomic effects of forward guidance shocks at the zero lower bound. Empirically, we identify forward guidance shocks using unexpected changes in futures contracts around monetary policy announcements. We then embed these policy shocks in a vector autoregression to trace out their macroeconomic implications. Forward guidance shocks that lower expected future policy rates lead to moderate increases in economic activity and inflation. After examining forward guidance shocks in the data, we show that a standard model of nominal price rigidity can reproduce our empirical findings. To estimate our theoretical model, we generate a model-implied futures curve that closely links our model with the data. Our results suggest no disconnect between the empirical effects of forward guidance shocks around policy announcements and the predictions from a standard theoretical model.

We examine the usefulness of other comprehensive income (OCI) to debt investors in nonfinancial companies. Motivated by Merton's (1974) real options framework, we construct a measure of incremental OCI volatility, designed to capture the effect of OCI on overall firm asset volatility, which is a primary driver of credit risk in Merton's (1974) model. We find that the volatility of incremental OCI influences the likelihood of default, credit ratings, and the cost of debt. Overall, our evidence suggests that creditors use information from OCI in their assessment of firm credit risk and in pricing debt contracts.

We examine whether political corruption impedes innovation. Using a comprehensive sample of U.S. firms, we find that corruption has a substantial, negative relation with the quantity and quality of innovation. These results are robust to using various fixed effects, proxies for corruption and innovation, and subsamples. To establish causality, we employ 2 instruments for corruption: local ethnic diversity and the corruption of the state a firm’s founder grew up in. Corruption appears to reduce innovation output both on average and for the most innovative firms. Overall, this evidence is consistent with the notion that corruption reduces social welfare by impeding innovation.

We provide a new framework for using text as data in empirical models. The framework identifies salient information in unstructured text that can control for multidimensional heterogeneity among assets. We demonstrate the efficacy of the framework by reexamining principal-agent problems in residential real estate markets. We show that the agent-owned premiums reported in the extant literature dissipate when the salient textual information is included. The results suggest the previously reported agent-owned premiums suffer from an omitted variable bias, which prior studies incorrectly ascribed to market distortions associated with asymmetric information.

Feyrer, Mansur, and Sacerdote (2017) estimates the spatial dispersion of the effects of the recent shale-energy boom by unconditionally regressing income and employment on energy production at various levels of geographic aggregation. However, producing counties tend to be located near each other and receive inward spillovers from neighboring production. This inflates the estimated effect of own-county production and spatial aggregation does not address this. We propose an alternative estimation strategy that accounts for these spillovers and identify reduced propagation effects. The proposed estimation strategy can be applied more generally to estimate the dispersion of multiple, simultaneously occurring economic shocks.