Feyrer, J. [28]	1960-2000	United States	Cobb Douglas Production Function	Examines management changes caused by the entry of the baby boom, explain productivity slowdown in 1970s and resurgence in 1990s	The management effects of the baby boom may explain roughly 20 percent of the observed productivity slowdown and resurgence
Sav, G. T. [19]	2005-09	United States	DEA, Malmquist index	Investigate the extent to which universities underwent productivity change, due to managerial performance	Managerial efficiency tended to hamper productivity gains but, on the positive side, showed slight improvements over time
Sharma, S.; Singh, N. [29]	1973/74 to 2001/02	India	system GMM	Explores the impacts of skill composition, the use of imported intermediate inputs, ownership and organizational form on the productivity	Finds some evidence that access to financial capital, electric power from the grid, and skilled workers all matter
Baltagi, B. H., Egger, P. H., & Kesina, M. [22]	2004-2006	China	Cobb Douglas Production function approach, fixed effects, random effects	Investigates intra-sectoral spillovers in TFP and model output by the firm as a function of skilled and unskilled labor, capital, materials, and TFP	Finds evidence of positive spillovers and a significant detrimental effect of public ownership on TFP
Alder, S. D. [24]	1994-2010	United States	Cobb Douglas Production Function, Robert’s law	Explores managers as a source of variation in aggregate output and TFP	Executive talent does not contribute to the dispersion in US firm sizes and the misallocation of talent has inconsequential aggregate effects
Bloom, N. & Sadun, R. & Van Reenen, J. [30]	Survey waves in 2004, 2006, 2009/10, 2013, and 2014	34 countries	Surveys, Cobb Douglas Production Function, MAT model	Investigates whether management practices akin to a technology that can explain company and national productivity	Differences in management practices account for about 30% of cross-country total factor productivity differences.