We develop a method that identifies the attention paid by earnings call participants to firms' climate change exposures. The method adapts a machine learning keyword discovery algorithm and captures exposures related to opportunity, physical, and regulatory shocks associated with climate change....

We revisit the question of how performance measures are used to evaluate business unit managers in response to intra-firm spillovers because prior studies have documented conflicting empirical evidence. Specifically, we are interested in variation in the relative incentive weightings of...

Kido, Petacchi and Weber [2012] investigate whether the occurrence of a state gubernatorial election is important to understanding the accrual choices of preparers of the state's comprehensive annual financial report. Central to the authors' argument is the idea that voters do not like budget...

Using tools described in our earlier work (Hassan et al., 2019, 2020), we develop text-based measures of the costs, benefits, and risks listed firms in the US and over 80 other countries associate with the spread of Covid-19 and other epidemic diseases. We identify which firms expect to gain or...

We introduce a new word pattern-based method to automatically classify firms' primary concerns related to the spread of epidemic diseases raised in their quarterly earnings conference calls. We construct text-based measures of the costs, benefits, and risks listed firms in the US and over 80...

Using tools from computational linguistics, we construct new measures of the impact of Brexit on listed firms in the United States and around the world; these measures are based on the proportion of discussions in quarterly earnings conference calls on the costs, benefits, and risks associated...

The purpose of this paper is twofold. First, we provide a discussion of the problems associated with endogeneity in empirical accounting research. We emphasize problems arising when endogeneity is caused by (1) unobservable firm specific factors and (2) omitted variables and discuss the merits...