Variance Regression Research Articles

How does developmental advising impact college students? Findings from medical students in China

ABSTRACT This study contributes evidence on the impact of developmental advising using a national sample of students in the undergraduate clinical medicine program in China (n = 122,932). Using a combination of instrumental variable regression and structural equation modeling, the study explored beyond low-touch informative intervention and fully presented how developmental advising makes effects. A significantly positive advising effect on both academic and non-academic indicators was found, and it varies by the students’ demographic features, family backgrounds, and pre-college experiences, suggesting its potential to address achievement gaps across students from different backgrounds. In addition, the mediating roles of self-efficacy and learning engagement that enable advising to impact academic improvement were verified, shedding light on how developmental advising impacts students’ development.

Uneven Burdens: The Intersection of Brownfields, Pollution, and Socioeconomic Disparities in New Jersey, USA

Brownfields, abandoned or underutilized lands having the potential for contamination due to industrial activities, pose health risks to nearby residents and raise environmental justice (EJ) concerns. This study examines the relationship between brownfield distribution and socioeconomic factors in New Jersey, a state with over 700 brownfield sites, using correlation, spatial autoregression, and instrumental variable regression methods. Results show that brownfields are associated with higher combined EJ stressors, indicating compounding environmental pollution and health risks in affected areas. Brownfields are disproportionately correlated with lower household income, higher rates of uninsured individuals, lower educational attainment, and a greater percentage of people of color. When accounting for spatial autocorrelation, relationships between income, education, and brownfield distributions are reduced, reflecting New Jersey’s historical, environmental, and social contexts. Overall, the presence of people of color maintains the strongest association with brownfield distribution. This study highlights ongoing EJ challenges faced by disadvantaged groups and emphasizes the need for targeted mitigation measures to enhance sustainability and equity. New Jersey serves as a critical case study given its ethnic diversity, growing urban population, and status as the state with the highest population density in the United States, illustrating broader trends of disproportionate exposure to environmental pollution among marginalized communities.

Digital financial inclusion and SME market dynamics: an empirical analysis based on big data of business registrations in China

ABSTRACT With the deepening of internet development, digital financial inclusion has gradually become a crucial force in promoting the market entry of small and micro enterprises (SMEs). This study analyzes the impact of digital financial inclusion on SME market dynamics, using big data of business registrations and digital financial inclusion data of 268 cities in China from 2011 to 2017. Employing two-way fixed effects and instrumental variable regression methods, we find that digital financial inclusion significantly facilitates SME market entrance and reduces exiting risk. Moreover, the level of internet development moderates the impact of digital financial inclusion, with regions having high internet coverage showing a stronger effect in promoting entry; while regions with low internet coverage exhibit a more pronounced effect in reducing exiting. Further heterogeneity analysis suggests that the impact of digital financial inclusion primarily reveals with the breadth of coverage and depth of use. The effects are more significant in regions with high levels of innovation and foreign investment. This paper provides new empirical evidence on the role of digital financial inclusion in SME development and proposes relevant policy recommendations to promote sustainable development for SMEs.

Month of Birth, Early Academic Achievement, and Parental Expectations of University Completion: A New Test on Sticky Expectations

Previous studies have shown that educational expectations of individuals with high socioeconomic status (SES) are relatively unaffected by low academic performance, a phenomenon called “sticky expectations.” However, this result might be biased by endogeneity and reverse causality between academic achievement and educational expectations. Using data from the Trends in International Mathematics and Science Study from 11 countries with a strict school-entry rule and building on the well-established finding that children born in the months before the school-entry cutoff underperform at school, we use birth month as an instrument to identify the causal effect of early academic achievement on parents’ expectations of university completion by parental education. Our findings based on the instrumental variable (IV) regression show that the moderation of social origin in the relationship between children’s performance and parental expectations is moderately overestimated in cross-sectional data. Nonetheless, the stickiness of high-SES parental expectations is confirmed in the IV model, proving that parental expectations are less affected by children’s early achievement when the parents are highly educated.

Social psychology research in the commercial art market: challenges and opportunities

This study investigates the social psychological dynamics of the commercialized art market, employing a multifaceted approach to uncover the complex interplay of factors influencing artistic valuation and market behavior. Utilizing data from 500 top-selling artists and 1000 major collectors over a decade, we conduct quantitative analyses, including time series analysis, principal component analysis, and network structure examination. Our findings reveal the primacy of artist reputation and market demand in price formation, accounting for 45% of the variance in artwork prices. We identify cyclical market patterns aligned with major auction events and economic trends. Network analysis exposes the critical role of intermediaries and community structures in market interactions. Addressing endogeneity concerns through instrumental variable regression, we establish a robust causal link between artist reputation and market outcomes. This research provides valuable insights for artists, galleries, collectors, and investors, offering a comprehensive framework for understanding the contemporary art market's complexities. Our study contributes to the growing body of literature on art market dynamics, highlighting the intersection of social psychology, economics, and cultural trends in shaping artistic value.

Information and communication technology and female employment in India

We revisit the issue of declining female labour force participation in India by investigating the role of information and communication technology (ICT) adoption. Given that ICT has been rapidly penetrating in India in the past few decades, we explore the impact of ICT ownership and use on female labour market behaviour. We use a nationally representative survey, the India Human Development Survey and estimate instrumental variable regression models and find that ICT adoption increases the likelihood of female employment. Our results show that the positive impact of ICT adoption is limited to individuals who are salaried or are self-employed. Further, we find that ICT adoption increases (decreases) the likelihood of entry into (exit from) the labour market. We contrast our analysis by comparing it with male employment and find evidence of differential impact of ICT adoption. Finally, we find that the effect is limited to women with relatively higher levels of education and those belonging to relatively higher income households. We investigate the potential channels that could drive our results and find that women who adopt ICT have more flexible work options where they spend lesser time to travel to work, have a higher autonomy in work related decisions and a higher willingness to enter the workforce. Thus, ICT adoption by reducing information asymmetries in the labour market could increase female labour market participation.

Examining the joint effect of clinical quality, meaningful use of HIT and patient-caregiver interaction on mortality rates in US acute care hospitals.

Healthcare quality has long been defined and assessed using different theories that outline care delivery as a product of two factors; one being the clinical aspect symbolizing the science of care and the other being the non-clinical aspect symbolizing non-medicinal aspect of care delivery. To the best of our knowledge, the joint effect of the clinical, social and technological aspects of care on outcome quality has not been investigated in the literature. The current study empirically investigates the joint effect of the clinical, social and technological care quality dimensions on mortality rates through analyzing longitudinal data from 3081 US hospitals. Six-year data from more than 3000 acute care hospitals is analyzed using econometric analysis with two stage least square instrumental variable regression models. Hospitals that jointly focus on clinical, social and technological care dimensions realize lower mortality rates. Combining clinical quality (CM) with either meaningful use of health information technology (MUHIT) or patient-caregiver interaction (PCI) reduces mortality rates. The lowest mortality rate is realized when hospitals combine CM, PCI and MUHIT. Our study provides empirical evidence on the importance of combining clinical and non-clinical care measures to reduce mortality rates in hospitals. Our results indicate that hospitals that combine dual quality dimensions, clinical quality with either PCI or MUHIT, can also realize improvement in mortality rates. However, the best outcome can be realized by focusing on the triple quality dimensions (CM, PCI and MUHIT). The study provides pointers to healthcare professionals and policy makers on the impact of non-clinical care on the clinical-mortality link in hospitals.

Unraveling the Effects of Economic Complexity on Governance in Developing Countries. New Evidence from Instrumental Variable Quantile Regression Estimates

This study examines the effect of economic complexity on governance indicators. We use instrumental variable quantile regression to estimate a panel data model for 78 developing countries over the period 2000–2019. The results show that there is a positive relationship between economic complexity and overall governance; however, the effect varies according to the distribution of the different governance indicators. More specifically, our results show that economic complexity improves political governance only for the higher quantiles. The effect varies positively along the distribution of economic governance. For institutional governance, the effect of economic complexity is statistically significant for the median and upper quantiles. Our results also allow us to show that the effects of economic complexity on governance differ significantly between quantiles of the distribution in low- and middle-income countries. Finally, human capital, FDI inflows and reductions in income inequality are the channels through which economic complexity affects governance.

Morphometric Characterization and Fillet Yield of Two Commercial Fish Species from Panyam Fish Farm Plateau State

A total of 50 individual samples of Parachanna obscura and Clarias gariepinus were collected fresh from Panyam fish farm with the aid of crush ice for preservation until assessment was carried out to determine the fillet yield of Parachanna obscura in comparism with Clarias gariepinus. The whole fresh fish samples were taken to the department of Fisheries and Aquaculture laboratory of the Federal University, of Agriculture, Makurdi for assessment. Their Total and Standard Lengths were recorded (in cm) using a Measuring Rule, while Total Body Weights were recorded (in grams) using an electronic weighing balance. Data were collected on: the Total Weight (g), Total Length (cm), Standard Length (cm), Visceral Weight (g), Head Length (cm), Weight of Bones (g), Weight of Fins (g) and Weight of Fillet (g) in comparism between the two fish species. Descriptive statistics for morphometric data were determined using Minitab 18® (Minitab 2017). Regression and correlation of variables was carried out in R (R Core Team 2020). Results of the mean measured parameters of Parachana obscura and Clarias gariepinus from Panyam Fish Farm Jos, showed that Total Length (42.66 ± 0.58cm), Standard Length (38.56 ± 0.29cm), Fin Weight (15.51 ± 0.37g), Visceral Weight (11.04 ± 0.17g), Head Weight (1.49 ± 4.01g), Bone weight (39.84 ± 0.80g) and Weight of fillet (89.02 ± 2.38g) of Parachana obscura were higher than the mean measured parameters of Clarias gariepinus. There was a significant difference (p= .05) among the measured parameters between P. obscura and C. gariepinus. The higher fillet percentage per body weight of P. obscura in comparism to C. gariepinus is a pointer to a relatively higher economic value for commercial purposes of this species. This assessment also provides information for further studies on this species to be built on, as there is obvious need for Nigeria’s aquaculture system to diversify from the prevalent catfish culture.

Relationships Among Physician Vendor-Derived Proficiency Score, Gender, and Time in the Electronic Health Record

Background and Objectives: Electronic health record (EHR) customization is proposed to mitigate EHR-related burnout. Gender disparities in EHR usage are established, though less is known regarding differences in customization and its impact on EHR time. This study examined gender differences in vendor-derived proficiency score (PS) and its relationship to EHR time. Methods: This was a retrospective observational study of ambulatory EHR use for adult primary care and medical subspecialty physicians at an academic safety-net health care system. The EHR vendor provided a physician PS (0–10), derived from customization and efficiency tool utilization. Primary outcomes were PS, time in system per day, and time in system per appointment stratified by gender. We used multiple variable linear regression to determine whether gender differences persisted with the inclusion of other factors. Results: A total of 228 physicians were included in the study; 122 were women, and 106 were men. Women had higher median PS (7.6 vs 6.6, P=.021) and EHR time per day (150.5 vs 119.9 minutes, P=.013), but no difference in time per appointment (24.7 vs 26.1 minutes, P=.665). After adjusting for potential confounders, gender remained a significant predictor of PS, but not time in EHR. Higher PS was significantly associated with greater time in the system per appointment, but not per day. Conclusions: While women had higher PS than men, gender was not significantly associated with measures of EHR time after adjusting for potential confounders. Higher PS was associated with greater time in the EHR per appointment, suggesting factors that influence EHR time are complex and varied.

Equal, equitable or exacerbating inequalities: patterns and predictors of social prescribing referrals in 160 128 UK patients.

Social prescribing is growing rapidly globally as a way to tackle social determinants of health. However, whom it is reaching and how effectively it is being implemented remains unclear. To gain a comprehensive picture of social prescribing in the UK, from referral routes, reasons, to contacts with link workers and prescribed interventions. This study undertook the first analyses of a large database of administrative data from over 160 000 individuals referred to social prescribing across the UK. Data were analysed using descriptive analyses and regression modelling, including logistic regression for binary outcomes and negative binomial regression for count variables. Mental health was the most common referral reason and mental health interventions were the most common interventions prescribed. Between 72% and 85% of social prescribing referrals were from medical routes (primary or secondary healthcare). Although these referrals demonstrated equality in reaching across sociodemographic groups, individuals from more deprived areas, younger adults, men, and ethnic minority groups were reached more equitably via non-medical routes (e.g. self-referral, school, charity). Despite 90% of referrals leading to contact with a link worker, only 38% resulted in any intervention being received. A shortage of provision of community activities - especially ones relevant to mental health, practical support and social relationships - was evident. There was also substantial heterogeneity in how social prescribing is implemented across UK nations. Mental health is the leading reason for social prescribing referrals, demonstrating its relevance to psychiatrists. But there are inequalities in referrals. Non-medical referral routes could play an important role in addressing inequality in accessing social prescribing and therefore should be prioritised. Additionally, more financial and infrastructural resource and strategic planning are needed to address low intervention rates. Further investment into large-scale data platforms and staff training are needed to continue monitoring the development and distribution of social prescribing.

OFDI and stock price synchronicity: Evidence from China

AbstractUsing the data on outward foreign direct investment (OFDI) by listed companies in China, we find that OFDI significantly increases stock price synchronicity. This result indicates that OFDI releases more market/industry (systematic) information relative to private information. Reverse technology spillover and the host country/region institutional environment are two potential mechanisms through which OFDI increases synchronicity. We find that OFDI plays a role in screening firms with better transparency and corporate governance. The propensity score matching method and instrumental variable regressions are employed to rule out endogeneity issues. We also check the impact of stock return characteristics and macro shocks on this positive relationship.

Electrode Location and Domain-Specific Cognitive Change Following Subthalamic Nucleus Deep Brain Stimulation for Parkinson's Disease.

Deep brain stimulation (DBS) is an effective treatment for Parkinson's disease (PD) motor symptoms. DBS is also associated with postoperative cognitive change in some patients. Previous studies found associations between medial active electrode contacts and overall cognitive decline. Our current aim is to determine the relationship between active electrode contact location and domain-specific cognitive changes. A single-institution retrospective cohort study was conducted in patients with PD who underwent subthalamic nucleus (STN) DBS from August 05, 2010, to February 22, 2021, and received preoperative and postoperative neuropsychological testing. Standardized norm-referenced test z-scores were categorized into attention, executive function, language, verbal memory, and visuospatial domains. SD change scores were averaged to create domain-specific change scores. We identified anterior commissure/posterior commissure coordinates of active electrode contacts in atlas space. We evaluated differences in active electrode contact location between patients with a domain score decrease of at least 1 SD and less than 1 SD. We performed multiple variable linear regression controlling for age, sex, education, time from surgery to postoperative neuropsychological testing (follow-up duration), disease duration, preoperative unified Parkinson's disease rating scale off medication scores, and preoperative memory scores to determine the relationship between active electrode contact location and domain change. A total of 83 patients (male: n = 60, 72.3%) were included with a mean age of 63.6 ± 8.3 years, median disease duration of 9.0 [6.0, 11.5] years, and median follow-up duration of 8.0 [7.0, 11.0] months. More superior active electrode contact location in the left STN (P = .002) and higher preoperative memory scores (P < .0001) were associated with worsening memory. Active electrode contact location was not associated with change in other domains. In patients with PD who underwent STN DBS, we found an association between superior active electrode contacts in the left STN and verbal memory decline. Our study increases understanding of factors associated with cognitive change after DBS and may help inform postoperative programming.

Immigrant Parents' Knowledge and Attitudes: Sociodemographic Variation Related to Restriction of Children's Sugar Intake.

Focusing on immigrant parents with children aged 0-6 months, this study assessed whether awareness of and attitudes towards restricting children's sugar consumption vary according to family sociodemographic background and parents' oral-health-related behaviours. A cross-sectional study was conducted including immigrant parents attending child public health centers for vaccination of their children. The study included parents born in Asia, Africa, South America, Central America and Eastern Europe. Parents from Western Europe and North America were included if they were partners of the above-mentioned participants. Cross-tabulation and multiple variable logistic regression were used to assess associations of parental knowledge and attitudes with their child's sugar intake and sociodemographic characteristics. Overall, response rate was 72.6%. A total of 345 parents completed personal, structured interviews during their visit to the health centers. Attitudes and knowledge, but not indulgence, related to children's sugar restriction were sociodemographically unequally distributed among immigrant parents. Employed mothers, mothers with immigrant background from North America or Western Europe as well as parents with less frequent own sugar intake were more likely to confirm positive attitudes towards restricting children's sugar snacking. The corresponding odds ratios were OR=1.8 (95% CI 1.1-3.1) and OR=6.6 (95% CI 2.3-18.9). Employed mothers and parents having received dental care information were more likely than their counterparts to possess good oral-health-related knowledge. Parents from sociodemographically disadvantaged backgrounds were less inclined to express positive attitudes and demonstrate sufficient knowledge regarding the limitation of their children's sugar snacking. Culturally adapted oral health intervention programs should be implemented for immigrants, with special reference to children's dietary habits.

Quality of family planning counseling and associated factors among reproductive age women who are current contraceptive users at Dessie town health facilities east Amhara, 2023

BackgroundThe role of counseling in Family Planning is to care a woman in navigating the process of choosing a contraceptive method that will allow her to fulfill her family planning goals and exercise her reproductive health rights. The effectiveness and appropriateness of family planning counselling play a crucial role in a client’s decision-making process regarding contraception. The decision for a client to use contraception with effectively and properly it should be ultimately achieved the quality of family planning counclling.The aim of this research is to assess quality of family planning counseling and associated factors among reproductive age women at Dessie town health facilities, east Amhara, Ethiopia, and 2023.MethodsA facility based cross-sectional study was conducted from December 1, 2022- January 30, 2023. Study subjects were selected by using systematic random sampling method. Data was be collected by exit interview of the women and analyzed by SPSS version 26. Bivariable and Multi variable logistic regression were executed to identify associated factors with quality of family planning counseling and the P- Value <0.05 on Multi variable analysis was considered as significantly associated with the dependent variable.ResultThe proportion of women receiving good quality family planning counselling in this study was 36.5%. Contraceptive source [AOR=2.03, 95%CI (1.09, 3.75)], Contraceptive currently used [AOR=0.43, 95%CI (0.26, 0.73)], separate room for family planning counseling [AOR=3.38, 95%CI (1.09, 3.75)] and availability of all methods [AOR=3.10, 95%CI (1.85, 5.21)]were significantly associated with quality of family planning counselling.ConclusionThe proportion of women obtaining good quality FP counseling in this study low. Type of contraceptives currently used, source of contraceptives, separate room for providing family planning counseling and availability of all methods of family planning in the facility are significantly associated with quality of family planning counseling. Therefore, all health profession could be given proper counseling to increase the quality of family planning.

Corporate sustainability commitment in the Middle East and North Africa region: Impact on innovation and firm performance

AbstractThis study examines the effects of corporate sustainability factors (CSFs)—specifically gender diversity, energy practices, and environmental practices—on innovation and their subsequent impact on firm performance in the Middle East and North Africa (MENA) region. By integrating Absorptive Capacity Theory, we explore how these CSFs drive innovation, contributing to broader sustainable development goals. We analyze the impact of innovation on firm performance using the resource‐based view (RBV). Utilizing secondary data from the World Bank Enterprise Survey (WBES), we employ a two‐stage instrumental variable regression (IV‐2SLS) to address endogeneity and establish causal relationships. Our findings reveal that stakeholder engagement through gender diversity, energy practices, and environmental practices significantly enhances innovation, which, in turn, drives firm performance. Diverse leadership fosters creativity and innovation, while energy‐efficient and environmentally sustainable practices reduce costs, improve brand reputation, and align with sustainable development goals. These insights underscore essential policy implications for promoting environmental policy, clean production, and sustainable innovation ecosystems. Encouraging MENA firms to engage stakeholders and adopt sustainable practices can drive economic prosperity and contribute to the United Nations Sustainable Development Goals (SDGs).

Robust evaluation of big data-driven winter weather traffic models using six weigh-in-motion sites as testbeds in Alberta's highway network

ABSTRACT This study assesses the temporal transferability of winter traffic models using dummy variable regression at six Weigh-in-Motion (WIM) sites on Alberta's highway network. Models for two vehicle classes were developed using five years of traffic and weather data. To evaluate transferability, an additional year of data was collected, and two model structures—dummy variable and naive—were tested. The models’ estimation accuracy was measured using R² and five error metrics. Results indicate successful transferability of the models to a different year, with performance varying by road function and vehicle class. The study highlights that different model types might be needed for each vehicle class to ensure high temporal transferability. Additionally, the quality of the test data is crucial for obtaining reliable transfer results. This research addressed gaps in previous studies by collectively testing the temporal transferability of winter traffic models across an entire highway network.

Regional digital infrastructure and carbon neutrality: A technology–structure–efficiency perspective

The synergistic development of digital transformation and carbon neutrality is a key path to global sustainable development. This study utilized the Broadband China pilot policy and a multi-period Difference-in-Differences (DID) design to comprehensively evaluate the impact of digital infrastructure on carbon neutrality using panel data from 291 prefecture-level cities in China from 2008 to 2021. The results indicate that regional digital infrastructure contributed to carbon neutralization innovation, carbon-intensive industry innovation, and carbon-emission efficiency in the pilot areas. This held true after analyzing the results with propensity score matching, coarsened exact matching, robust estimators, and instrumental variable regression. Specifically, the results of the mediation effect model indicate that digital infrastructure promotes the process of carbon neutrality through several mechanisms, including promoting the rationalization of industrial structure, promoting digital economic development, and inducing innovation in digital technology. In addition, cities with better economic development, lower resource dependence, and weaker environmental constraints have a greater carbon neutrality dividend effect from regional digital infrastructure. These findings indicate a need to optimize policies to unleash the dividends of digital infrastructure in carbon neutrality, which can drive technological, structural, and efficiency changes through digital empowerment. In addition, cities with heterogeneous endowments need to develop targeted measures.

The Inverse Product Differentiation Logit Model

We introduce the inverse product differentiation logit (IPDL) model, a micro-founded inverse market share model for differentiated products that captures market segmentation according to one or more characteristics. The IPDL model generalizes the nested logit model to allow richer substitution patterns, including complementarity in demand, and can be estimated by linear instrumental variable regression with market-level data. Furthermore, we provide Monte Carlo experiments comparing the IPDL model to the workhorse empirical models of the literature. Lastly, we demonstrate the empirical performance of the IPDL model using a well-known dataset on the ready-to-eat cereal market. (JEL C25, D11, D12, L66, L81)

Does board gender diversity improve stock liquidity?

PurposeFirms with gender diverse boards have been shown to have increased transparency and disclosure, resulting in reduced information asymmetry, which is a key factor influencing stock liquidity. This paper explores the influence of information asymmetry resulting from board gender diversity on stock liquidity. We examine the impact of gender diverse firms on stock liquidity in US listed firms from 2006 to 2022, capturing 28,280 firm-year observations across 4,349 firms. Using mediation models, we distinguish between direct and mediated effects to examine the impact of gender diverse boards on three dimensions of stock liquidity. We find a positive and significant relation between board gender diversity and stock liquidity, and our findings highlight the substantial mediating role of information disclosure in this association. To address concerns of endogeneity, we use instrumental variables regression, and our conclusions remain robust to a range of alternatives.Design/methodology/approachTo investigate the association between board gender diversity and stock liquidity and the underling mechanism that drives the relation, we utilize a dataset comprising 4,349 listed US firms from 2006 to 2022. We adopt a comprehensive approach to measure stock liquidity that spans three dimensions: Amihud illiquidity (LIQ) as a representation of price impact, the quoted spread (SPREAD) to gauge transaction costs and the stock turnover (TURNOVER) to assess trading frequency. To evaluate board gender diversity, we examine female directors and female independent directors, utilizing both the percentage and the presence (as a binary variable).FindingsThe results of our analysis reveal not only a statistically significant effect of board gender diversity on liquidity but also demonstrate its economic significance. One standard deviation increase in the percentage of female directors (12% more female directors) is associated with a 5.8% decrease in price impact, a 5.1% reduction in transaction costs and a 3% increase in trading frequency. These findings highlight the material economic importance of the relationship, which stands in contrast to previous studies reporting only a 1% change in average stock liquidity in the Australian stock markets (Ahmed and Ali, 2017). To further investigate the underlying mechanism driving the association between board gender diversity and liquidity, we employ mediation models to separate the direct and mediated channels. Our results indicate that the effects of the percentage of female directors are mediated on liquidity (LIQ, SPREAD, and TURNOVER) through information disclosure, albeit with a relatively small magnitude (mediation proportion is 18.2, 3.9 and 22.9%, respectively).Research limitations/implicationsWe include a comprehensive set of variables in our analysis and adopt an instrumental approach to mitigate endogeneity concern. However, we acknowledge the possibility of omitted variable biases or reverse causality in our empirical analysis.Practical implicationsOur study contributes to the understanding of the association between board gender diversity and stock liquidity, focusing on the underlying mechanisms. Gender diversity on boards enhances corporate governance, leading to reduced managerial opportunism (Adams and Ferreira, 2009; Nielsen and Huse, 2010). This, in turn, increases information transparency and results in increased stock liquidity. By exploring the empirical evidence of the impact of gender diverse boards on stock liquidity through the information channel, we provide valuable insights to the existing literature. Our study uses US data to examine this association, addressing the small sample concerns of prior research that may have contributed to inconsistent findings.Social implicationsThis research can drive both economic and social transformations as it provides evidence that gender diverse boards lead to improved market outcomes.Originality/valueOur study differs from previous research by incorporating all three dimensions of liquidity, ensuring a comprehensive analysis. Through our investigation, we aim to deepen understanding of how gender diversity on corporate boards shapes market dynamics and contributes to understanding of corporate governance and market efficiency. Our study investigates how the impact occurs by employing mediation models to separate the direct and mediated channels of impact. We show that the effects of gender diverse boards on liquidity are mediated through information disclosure.