Chapman, Craig James, and Thomas J. Steenburgh. "An Investigation of Earnings Management through Marketing Actions." Harvard Business School Working Paper, No. 08-073, February 2008. (Revised February 2009, December 2009, June 2010, July 2010.)

Roe, Mark J., and Jordan I. Siegel. "Political Instability: Effects on Financial Development, Roots in the Severity of Economic Inequality." Journal of Comparative Economics 39, no. 3 (September 2011): 279–309. (We here bring forward strong evidence that political instability impedes financial development, with its variation a primary determinant of differences in financial development around the world. As such, it needs to be added to the short list of major determinants of financial development. First, structural conditions first postulated by Engerman and Sokoloff (2002) as generating long-term inequality are shown here empirically to be exogenous determinants of political instability. Second, that exogenously-determined political instability in turn holds back financial development, even when we control for factors prominent in the last decade's cross-country studies of financial development. The findings indicate that inequality-perpetuating conditions that result in political instability are fundamental roadblocks for international organizations like the World Bank that seek to promote financial development. The evidence here includes country fixed effect regressions and an instrumental model inspired by Engerman and Sokoloff's (2002) work, which to our knowledge has not yet been used in finance and which is consistent with current tests as valid instruments. Four conventional measures of national political instability — Alesina and Perotti's (1996) well-known index of instability, a subsequent index derived from Banks' (2005) work, and two indices of managerial perceptions of nation-by-nation political instability — persistently predict a wide range of national financial development outcomes for recent decades. Political instability's significance is time consistent in cross-sectional regressions back to the 1960's, the period when the key data becomes available, robust in both country fixed-effects and instrumental variable regressions, and consistent across multiple measures of instability and of financial development. Overall, the results indicate the existence of an important channel running from structural inequality to political instability, principally in nondemocratic settings, and then to financial backwardness. The robust significance of that channel extends existing work demonstrating the importance of political economy explanations for financial development and financial backwardness. It should help to better understand which policies will work for financial development, because political instability has causes, cures, and effects quite distinct from those of many of the key institutions most studied in the past decade as explaining financial backwardness.)

Liu, Junling, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian, Andrew Liu, Helin Wang, Chenyu You, Zhenhua Guo, Lei Zhu, and Michael Lingzhi Li. "Benchmarking Large Language Models on CMExam—A Comprehensive Chinese Medical Exam Dataset." Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track 36 (2023).

Short, Jodi L., and Michael W. Toffel. "Coerced Confessions: Self-Policing in the Shadow of the Regulator." Journal of Law, Economics & Organization 24, no. 1 (May 2008): 45–71.