This paper studies gender differences in total compensation among Fortune 1000 CEOs based on a matched panel data set comprising all-female CEOs and their matched counterpart of male CEOs for the years 2013-2016. However, previous research uses different methods of calculating CEO compensation: total pay, salary and bonus (Bugeja et al, 2012), base pay plus annual bonus (Adams et al, 2007), total current pay (the sum of salary, bonus, other annual pay), the value of stock options granted in the current year, other annual pay and value of granted options (Bertrand and Hallock, 2001). Tosi et al, (2000) highlight that remarkably divergent results characterize previous studies on relationship between CEOs compensation and firm size. The authors emphasize organizational size as an important determinant of total CEO pay. Moreover, Mohan (2014) highlight how, although executive pay has been studied with respect to various theories, the impact of gender on CEO pay levels is under-researched. Three notable exceptions relate to the following researches: the findings of Mohan and Ruggiero (2007) indicate that women are under-compensated; those of Adams et al. (2007) highlight how women are not as highly compensated as men before becoming CEO, but the few who reach the position of CEO do receive similar compensation to men; Hill et al. (2015) suggest that female CEOs benefit from their minority status to receive higher compensation than male CEOs. The results of these studies are contradictory regarding the influence of gender on compensation. With the goal of contributing to cumulative knowledge development in this area, the present research examines whether gender might affect or moderate the antecedents of total compensation, and whether Fortune 1000 female CEOs are indeed facing a compensation gap. Thus, this research fills an empirical gap by compiling the characteristics of female CEOs which are not featured in Fortune 1000 compared to a matched sample of male CEOs. Using this new data base, this research seeks to identify whether gender moderates the effects of classical antecedents of total compensation. Arguably, this is therefore one of the first papers to study gender differences in total compensation of Fortune 1000 CEOs using a matched sample technique based. This paper differs from previous literature in five significant ways. Firstly, male and female CEOs are matched based upon company rankings and the level of education of the CEO. Secondly, an extensive set of data was compiled of detailed characteristics of both the company and the CEO. Thirdly, owing to the increasing number of female CEOs, this study is based on a larger number of female CEOs than previous research (for example: a sample of 17 female CEOs was used in the study by Bertrand and Hallock, 2001). Fourthly, following the literature on CEO compensation, a comprehensive measure of total compensation was used which combines short-term and long-term compensation. And lastly, as in the study of Adams et al. (2007), this research uses many years’ worth of data (from 2013 to 2016) to reduce the effect of yearly fluctuation of total compensation, with this data base being moreover the most recent data available. Section 1 reviews the existing literature on CEO compensation and presents the hypotheses. Section 2 presents the research methodology. In section 3, a moderation analysis is presented to identify those factors influencing total compensation which are moderated by gender. In the conclusion section, findings and their limitations are discussed, as well as potential new avenues for research offered by further longitudinal studies.