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Can Corporate Income Tax Cuts Stimulate Innovation?

Journal of Financial and Quantitative Analysis 2020 55(5), 1415-1465 open access
We hypothesize that corporate income taxes distort firms’ incentives to innovate by reducing their pledgeable income. Using a differences-in-differences methodology, we document that large corporate income tax cuts boost corporate innovation. We find a similar but opposite effect for tax increases. Most of the change in innovation occurs 2 or more years after the tax change, and there’s no effect before the tax change. Exploring the mechanisms, we show that tax cuts have a stronger impact on innovation for firms with weaker governance, greater financial constraints, fewer tangible assets, smaller patent stock, and a greater degree of tax avoidance.

The Role of Trust in Information Processing: Evidence from Security Analysts

The Accounting Review 2020 95(3), 59-83
ABSTRACT Does an equity analyst's trust in others impact the processing of information from outside sources? We investigate this question using a measure of trust based on surveys conducted in analysts' countries of origin. We find that more trusting analysts not only react faster to management guidance and earnings announcements, they also weight information from management and other analysts more heavily than less trusting analysts. This results in a nonlinear inverted-U relationship with forecast accuracy. Analysts with low trust place too little weight on outside information, while analysts with high trust place too much weight and are, thus, both less accurate than “medium” trust analysts. This effect on accuracy is weaker for those with more on-the-job experience, indicating that analysts rely less on their cultural trust beliefs as they learn more about the quality of information sources. JEL Classifications: M41; G17. Data Availability: Data are available from the sources cited in the text.