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Truncation bias corrections in patent data: Implications for recent research on innovation

Journal of Corporate Finance 2017 44, 353-374
We review the effectiveness of various adjustment methods in correcting the truncation-bias in patents data and the implications for existing studies. The NBER patents-database was recently updated, extending the sample from 2006 to 2010. The updated sample is largely free of truncation-bias over the period covered by the NBER-2006 sample, allowing us to evaluate the bias-adjustment methods. We find that existing adjustments perform poorly towards the end of NBER-2006 sample. We re-examine multiple studies from the recent literature on innovation and show that findings based on the last few years of NBER-2006 data are not supported in the updated patents-database.

Stock-market disruptions and corporate disclosure policies

Journal of Corporate Finance 2021 66, 101762
We examine managers’' disclosure decisions in response to non-fundamental price shocks. Using mutual fund fire sales as a source of market disruption, we show some firms respond by issuing earnings guidance. Others, especially firms with weaker performance and more short-term-oriented investors, engage in accrual-based earnings management. To identify the efficacy of firm disclosure choices, we examine passage of Sarbanes-Oxley and Regulation Fair Disclosure and show that they increased reliance on guidance rather than earnings management. The shift is associated with faster post-fire-sales price recovery, suggesting enhancing information disclosure rather than manipulation is effective in mitigating the effect of market disruptions.