Student Major/Year in School
Accounting, third year
Faculty Mentor Information
Tareque Nasser, Finance, College of Business Administration
Abstract
Gender Pay Gap at IPO Firms
Kenia Chavez, Mentor: Dr. Tareque Nasser
Department of Finance
College of Business Administration
According to a study conducted by Bernadette D. Proctor in 2015, women working full time in the United States typically were paid just 80 percent of what men were paid. This 20 percent pay-gap is observed both at the rank-and-file labor-force and the corporate executive levels at public corporations. However, the state of gender pay-gap at entrepreneurial ventures or IPO firms is not well documented. This research project is aimed at filling this gap in the literature. The research motivation for undertaking this study is twofold. First and foremost, if we were to study the nature of gender pay gap more closely, it is essential that one examines the firms that straddle between small and large, and private and public; IPO firms perfectly fit that description. Second, this topic draws significant interest of the media and is deemed important in policy circles so that any socio-economic gender bias can be eliminated, or at best alleviated, through curative policies. The main hurdle of conducting this research is the lack of readily available data on entrepreneurial firms. But this data can be hand collected from EDGAR’s (SEC’s Electronic Data Gathering, Analysis, and Retrieval system) IPO prospectus filings. Therefore, we have begun the process of collecting data from EDGAR. Our sample of IPOs is between 1996 and 2013 obtained from the Securities Data Company (SDC). Accounting data would be collected from Compustat. For a comparative analysis with the S&P 1500 companies, we would use Execucomp data. The study would principally rely on regressions and matching methodologies for analysis. We have collected about half of the required data from EDGAR, which does not allow us to state anything definitive at the moment. We are hoping that the data collection will be completed by the end of spring 2019, and a working draft of an academic paper will be ready by the end of summer 2019 for conference presentations and submission to a journal for publication.
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License
Recommended Citation
Chavez, Kenia (2019). "Gender Wage Gap: IPO FIRMS," Kansas State University Undergraduate Research Conference. https://newprairiepress.org/ksuugradresearch/2019/posters/4
Gender Wage Gap: IPO FIRMS
Gender Pay Gap at IPO Firms
Kenia Chavez, Mentor: Dr. Tareque Nasser
Department of Finance
College of Business Administration
According to a study conducted by Bernadette D. Proctor in 2015, women working full time in the United States typically were paid just 80 percent of what men were paid. This 20 percent pay-gap is observed both at the rank-and-file labor-force and the corporate executive levels at public corporations. However, the state of gender pay-gap at entrepreneurial ventures or IPO firms is not well documented. This research project is aimed at filling this gap in the literature. The research motivation for undertaking this study is twofold. First and foremost, if we were to study the nature of gender pay gap more closely, it is essential that one examines the firms that straddle between small and large, and private and public; IPO firms perfectly fit that description. Second, this topic draws significant interest of the media and is deemed important in policy circles so that any socio-economic gender bias can be eliminated, or at best alleviated, through curative policies. The main hurdle of conducting this research is the lack of readily available data on entrepreneurial firms. But this data can be hand collected from EDGAR’s (SEC’s Electronic Data Gathering, Analysis, and Retrieval system) IPO prospectus filings. Therefore, we have begun the process of collecting data from EDGAR. Our sample of IPOs is between 1996 and 2013 obtained from the Securities Data Company (SDC). Accounting data would be collected from Compustat. For a comparative analysis with the S&P 1500 companies, we would use Execucomp data. The study would principally rely on regressions and matching methodologies for analysis. We have collected about half of the required data from EDGAR, which does not allow us to state anything definitive at the moment. We are hoping that the data collection will be completed by the end of spring 2019, and a working draft of an academic paper will be ready by the end of summer 2019 for conference presentations and submission to a journal for publication.
