This dataset covers all publically listed companies in the United States from 2000 to 2018, which are listed in the S&P index. The starting point of 2000 is due to the minimal data available in the BoardEX database before this time in relation to board directors' information. Compustat is the source of financial data. As previous research indicates, financial and utilities firms are excluded from the sample due to their distinct regulations, which expose their directors to liability risks that non-financial firms are not subject to (Adams and Mehran, 2012; Sila et al., 2016). The sample size of non-financial firms amounts to 17,220. Financial variable outliers are adjusted to the 98% level in accordance with Bharath and Shumway's (2008) study.

This file is a crosswalk between BoardEx (https://wrds-www.wharton.upenn.edu/pages/about/data-vendors/boardex) and the Database on Ideology, Money in Politics, and Elections (DIME) (https://data.stanford.edu/dime). If you use the crosswalk, please cite: Steel, Reilly S. 2024. "The Political Transformation of Corporate America, 2001-2022." Columbia Law and Economics Working Paper No. 4974868. URL: https://ssrn.com/abstract=4974868. The construction of the crosswalk is described in greater detail in the above paper, especially in the Online Appendix. NB: There are two versions of the crosswalk here, linking to different versions of DIME (v3.1 and v4.0). Be mindful that you use the correct version. In the event that DIME is updated again, the crosswalk may need to be updated as well.

This database includes information on 372 airlines operating during 1990 - 2016 with different corporate governance measures and macroeconomics variables.

Director Profiles provide data on individual directors by ID number including: age, gender, education, number of boards on, achievements, board role ( current and historic), and other activities (current and historic). Data back to 1999 when available. Includes: North America (NA) - Director Profile - Characteristics (2 files); North America (NA) - Director Profile - Education & Achievements; North America (NA) - Director Profile - Employment Current Board; North America (NA) - Employment Current NonBoard; North America (NA) - Director Profile - Employment Historical Board (2 files); North America (NA) - Director Profile - Employment Historical NonBoard (2 files); North America (NA) - Director Profile - Other Activities.

This project contains the data of a study on CEO life events, marriage and parenthood in particular, and its effects on firm growth. Dataset contains data on S&P100 firms and their CEOs (2003-2013). Sources include common databases such as Compustat, Execucomp, MSCI ESG, and Boardex. Data on the private life events was collected using news articles, company websites, and biographical websites such as; Referenceforbusiness, Britannica, Notablebiographies, Marquis Who’s Who in Finance and Industry, and the Notable Names Database.

Our database on US financial elites is a collection of data on top manager and board members in financial firms and non-financial firms for 2005 and 2018. For each sector, we select the top 10 firms at the level of the United States. In addition, for the financial firms, we also collect the data on founders (n=67).

For the constitution of our samples, we used financial databases, particularly CIQ and Boardex, or the annual reports available on the company’s website (via web archives).

The following financial sectors are covered:

1. Hedge funds
2. Insurance companies
3. Investment banks
4. Mutual funds
5. Pension funds
6. Private equity firms
7. Sovereign wealth funds
8. Accountancy firms

The following non-financial sectors are covered:

1. Commodities
2. Industry
3. Pharma
4. Technology
5. Food and Retail

In each of the sector we have chosen the 10 most important firms.

In each of the firms, we have chosen the top managers and the members of the board (executive and non-executive).

The Corporate Financial Fraud project is a study of company and top-executive characteristics of firms that ultimately violated Securities and Exchange Commission (SEC) financial accounting and securities fraud provisions compared to a sample of public companies that did not. The fraud firm sample was identified through systematic review of SEC accounting enforcement releases from 2005-2010, which included administrative and civil actions, and referrals for criminal prosecution that were identified through mentions in enforcement release, indictments, and news searches. The non-fraud firms were randomly selected from among nearly 10,000 US public companies censused and active during at least one year between 2005-2010 in Standard and Poor's Compustat data. The Company and Top-Executive (CEO) databases combine information from numerous publicly available sources, many in raw form that were hand-coded (e.g., for fraud firms: Accounting and Auditing Enforcement Releases (AAER) enforcement releases, investigation summaries, SEC-filed complaints, litigation proceedings and case outcomes). Financial and structural information on companies for the year leading up to the financial fraud (or around year 2000 for non-fraud firms) was collected from Compustat financial statement data on Form 10-Ks, and supplemented by hand-collected data from original company 10-Ks, proxy statements, or other financial reports accessed via Electronic Data Gathering, Analysis, and Retrieval (EDGAR), SEC's data-gathering search tool. For CEOs, data on personal background characteristics were collected from Execucomp and BoardEx databases, supplemented by hand-collection from proxy-statement biographies.

Here you find data resources for the article: "How career hubs shape the global corporate elite" published in Global Networks.

The resources contain a merge list of IDs for firms in Boardex and links to WikiData. Data was collected in 2019. Furthermore there is R code for the variant of career networks used in the article.