** DATA DESCRIPTION: MA-SCORE DATA 2020 ** ** Note: This is an update of the dataset used in Demerjian et al. (2012); please cite the original paper if you choose to use this data. ** Citation: Demerjian, P., B. Lev, and S. McVay. 2012. Quantifying managerial ability: A new measure and validity tests. Management Science 58(7): 1229-1248. ** Note: We have changed our procedure for calculating MA-Score. In prior iterations, we estimated both the first and second stage by Fama-French 48 industry. In this updated version, we estimate not by industry but rather by year for both stages. Others aspects of the estimation (inputs/outputs, control variables) remain the same. Please contact Peter Demerjian (pdemerj@uic.edu) with any questions on the calculation of MA-Score. ** Note: Two updates for 2022: First, the change in lease accounting has implications for the first stage calculation, affecting both the calculation of capitalized operating leases and net property, plant, and equipment as reported in Compustat. Having examined the impact of this change on calculation of MA_SCORE, the influence is minimal and does not require modification of the original formula. Please see details in the research note. Second, following Banker and Park (2021), the second stage regression is now estimated using OLS instead of Tobit regression; Banker and Park determine this to be the most robust method. Citation: Banker, R., and H. Park. 2021. Three-stage approach to analyze managerial ability. Data Envelopment Journal 5(1): 27-54. The dataset ma_score_2020 includes observations for fiscal years 1980 through 2022. This dataset was generated on February 17, 2024. There are 238,518 observations of nine variables; PROC MEANS output from SAS for the numerical variables is presented below. GVKEY is the Compustat firm descriptor. FISCAL_YEAR_END is the reported fiscal year end from Compustat (datadate). FIRM_EFFICIENCY_2022 is the first stage, DEA-based measure of total firm efficiency, with values ranging from zero to one. MA_SCORE_2022 is the residual from the second stage estimation, controlling for various firm- specific factors. Decile ranks (by industry and year) are included for both firm efficiency and MA_SCORE_2022. INDCODE is the Fama-French 48 industry code. The dataset also includes a character variable, the COMPANY NAME, and the CIK code. Variable N Mean Std Dev Minimum Maximum --------------------------------------------------------------------------------------------------- FIRM_EFFICIENCY_2022 238518 0.2860597 0.1642672 0 1.0000000 FISCAL_YEAR_END 238518 15075.57 4242.17 7335.00 23010.00 GVKEY 238518 46071.14 59222.33 1001.00 353945.00 INDCODE 238518 27.3738083 12.1270699 1.0000000 44.0000000 MA_SCORE_2022 238518 -0.000882217 0.1197273 -0.2706511 0.6616877 FIRM_EFFICIENCY_2022_RANK 238518 0.5506796 0.2855771 0.1000000 1.0000000 MA_SCORE_2022_RANK 238518 0.5506805 0.2855875 0.1000000 1.0000000 ---------------------------------------------------------------------------------------------------