The use of research and development (R&D) spending as an empirical proxy for managerial discretion, information asymmetry and growth opportunities, is pervasive in empirical corporate finance research. Underlying this is the implicit assumption that firms choose levels of R&D to maximize value, given firm and industry characteristics. An alternative framework views the level of R&D spending as subject to idiosyncratic behavior as managers myopically manipulate R&D expenditures to meet short-term earnings goals. Using aggregate firm and industry level data, we find evidence consistent with the view that R&D is determined by firm and industry characteristics. Time invariant firm and industry fixed effects explain most of the cross-sectional variation in observed R&D spending, while time-varying factors like size, profitability, or market-to-book explain little of the cross-sectional variation. We find that R&D spending continues to grow faster than advertising and capital expenditures. We also find no evidence of managerial myopia as corporate aggregate R&D expenditures are growing faster than aggregate profitability and the number of firms that undertake R&D has increased over the period from 1976 to 2010.

We use a well-developed dynamic panel generalized method of moments (GMM) estimator to alleviate endogeneity concerns in two aspects of corporate governance research: the effect of board structure on firm performance and the determinants of board structure. The estimator incorporates the dynamic nature of internal governance choices to provide valid and powerful instruments that address unobserved heterogeneity and simultaneity. We re-examine the relation between board structure and performance using the GMM estimator in a panel of 6,000 firms over a period from 1991 to 2003, and find no causal relation between board structure and current firm performance. We illustrate why other commonly used estimators that ignore the dynamic relationship between current governance and past firm performance may be biased. We discuss where it may be appropriate to consider the dynamic panel GMM estimator in corporate governance research, as well as caveats to its use.