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The primary goal of this paper is to investigate the relationship between stock market liquidity and firm dividend policy within a market implementing the tax imputation system. The main aim is to understand how the tax imputation system influences the relationship between firm dividend policy and stock market liquidity within a cross-sectional framework.

This paper investigates the relationship between stock market liquidity and the dividend payout policy under the full tax imputation system in the Australian market. This study uses the Generalized Least Squares regressions with firm- and year-fixed effects.

In contrast to the negative relationship between the liquidity of common shares and the firms' dividends documented in countries with the double tax system, the study reveals that in Australia, the dividend payout ratios are positively associated with liquidity after controlling for various explanatory variables with both the contemporaneous and lagged time periods. Such a finding is robust to the use of alternative liquidity proxies and to the sub-period tests and remains during the COVID-19 pandemic period.

The insights derived from this study have significant implications for various stakeholders within the economy. The findings provide regulators with valuable insights to conduct a more holistic assessment of how the tax system impacts the economy, especially concerning the dividend choices of firms. Within the context of a full tax imputation system, investors can make investment decisions without factoring in the taxation impact. Simultaneously, firms can be relieved of concerns about losing investors who prioritize liquidity, particularly when a high dividend payout might not align optimally with their financial strategy.

This study contributes to the literature by extending the literature on the tax clientele effects on dividend policy, providing evidence that the tax imputation system can moderate the impact of liquidity on dividend policy. This study examines the impact of the dividend tax imputation system on the substitution effect between dividends and liquidity.

Present a method to impute missing data from a chaotic time series, in this case lightning prediction data, and then use that completed dataset to create lightning prediction forecasts.

Using the technique of spatiotemporal kriging to estimate data that is autocorrelated but in space and time. Using the estimated data in an imputation methodology completes a dataset used in lightning prediction.

The techniques provided prove robust to the chaotic nature of the data, and the resulting time series displays evidence of smoothing while also preserving the signal of interest for lightning prediction.

The research is limited to the data collected in support of weather prediction work through the 45th Weather Squadron of the United States Air Force.

These methods are important due to the increasing reliance on sensor systems. These systems often provide incomplete and chaotic data, which must be used despite collection limitations. This work establishes a viable data imputation methodology.

Improved lightning prediction, as with any improved prediction methods for natural weather events, can save lives and resources due to timely, cautious behaviors as a result of the predictions.

Based on the authors’ knowledge, this is a novel application of these imputation methods and the forecasting methods.

Are franking credit balances priced? This paper aims to investigate the valuation of franking credit balances via a determinant analysis and value relevance analysis.

The determinant analysis examines the factors that contribute to the increasing cumulative level of franking credit balances. Value relevance studies explore whether franking credit balances are priced in the market.

The results provide strong evidence of a size effect that the level of franking credit balances increases with firm size and weak evidence of an international focus effect that the level of franking credit balances increases with international ownership. They also find an individual dividend clientele effect that the level of franking credit balances decreases with individual ownership. They find significant evidence that franking credit balances are priced in the market. One dollar of franking credit is worth 1.4 dollars in firm value. That franking balances are capitalized at more than their face value suggests that franking credits signal firms' future dividend policy. They also find that the market valuation of franking balances increases with firm size but decreases with international focus.

This study provides direct evidence that franking credit balances are capitalized into equity prices. In the determinant analysis, this paper improves Heaney's (2009) model by using the percentage of international ownership as the proxy of international focus, thus addressing the limitation of his measure. In the value relevance tests, the study uses a modified model that includes log-transformation to reduce the skewness of variables based on Tanza's (2014) value relevance model. Moreover, the study suggests that the market valuation of franking credit balances increases with firm size, which contradicts Heaney's (2009) findings.

Past research has established a relationship between the perceptions of fairness in the division of household labor and relationship satisfaction. Varying according to gender and time, this relationship has been found with differing outcomes, including relationship satisfaction, relationship happiness, divorce, and sexual frequency. Although this relationship has been well studied, little research has focused on how this relationship is moderated by relationship status. According to the Second Demographic Transition Theory (SDT), as societies become more “modern,” cohabitation will become more prevalent, eventually becoming socially and culturally equivalent to marriage. As such, it is vital to ask how cohabitation and marriage differ, or if they differ at all. Therefore, this gap is explored by asking, “How do perceptions of the division of household labor affect married and cohabitating heterosexual couples’ relationship happiness and chance of separation?” In order to answer this question, the National Survey of Families and Households (Wave III) is analyzed, with outcomes focusing on relationship happiness and chance of separation. Results indicate that when married and cohabitating individuals experience similar levels of happiness with their partner’s housework, they also experience similar levels of relationship happiness and chance of separation, with relationship status not affecting the impact happiness with partner’s housework has on these relationship outcomes. This suggests that cohabitation and marriage may continue to become more similar overall.

The main aim of this study was to examine gender differences in job satisfaction in Europe.

For the empirical analysis, data from the Sixth European Working Conditions Survey were used. Oaxaca–Blinder decomposition with a principal component analysis (PCA) aggregated variable, after unconditional quantile regressions in a multiple imputation background, was implemented.

Women report higher job satisfaction than men do. Women were significantly more satisfied than men for the middle levels of the job satisfaction distribution.

This study expands the evidence on the determinants of job satisfaction in the European labour market by applying a recent form of decomposition that invests in unconditional quantile regression (UQR). To the best of this study knowledge, this is the first time that the Oaxaca–Blinder decomposition with a PCA aggregated variable after unconditional quantile regression has been employed to study gender-based differences in job satisfaction.

This study investigates the validity of Ferreira et al.’s (2020) Organizational Bullshit Perception Scale by examining its distinctiveness from similar constructs (perceptions of organizational politics, organizational cynicism, procedural justice) and its predictive validity through its relations with important organizational attitudes (organizational identification) and behaviors (counterproductive work behavior and organizational citizenship behavior). This study also examines the moderating effects of honesty–humility on the relations between organizational bullshit perception and the outcomes of counterproductive work behavior, organizational citizenship behavior and organizational identification. Finally, this study examines the incremental validity of organizational bullshit perception in predicting counterproductive work behavior, organizational citizenship behavior and organizational identification above and beyond similar constructs in an exploratory fashion.

Survey data were collected from a sample of working adults online via Amazon’s Mechanical Turk platform across two waves (final N = 323 for wave 1 and 174 for wave 2), one month apart.

The results indicate that organizational bullshit perception, as measured by Ferreira et al.’s (2020) scale, represents a distinct construct that has statistically significant relations with counterproductive work behavior, organizational citizenship behavior and organizational identification, even after controlling for procedural justice, organizational cynicism and perceptions of organizational politics. The results, however, showed no support for honesty–humility as a moderator.

These findings suggest that organizations can benefit from assessing and working to alleviate their employees’ perceptions of organizational bullshit. This construct predicts behaviors and attitudes important for organizational functioning.

This study adds to Ferreira et al.’s (2020) original work by demonstrating organizational bullshit perception’s distinctiveness from existing constructs in the literature and its implications for organizations and their employees.

This study examines the relationship between investors' familiarity bias, including the home bias and endowment bias, and their financial situations, expectations and personal characteristics.

Using the 2019 Survey of Consumer Finances, the authors utilize an ordinary least squares regression to identify the presence of endowment bias and home bias in individual investors' direct stock holdings and use a Heckman selection model to examine determinants of the extent of endowment bias and home bias.

This study finds that investors with higher income and more education, men, non-white investors and people with greater risk tolerance are actually at a greater risk of endowment bias. This study also identifies a profile of investors that are more likely to have a home bias: with less financial sophistication, lower net worth, older, female, more risk-averse, with a positive expectation about the domestic economy and a relatively shorter investment horizon.

This paper is among the first to use US investors' directly reported stock holdings to examine the individual characteristics that are correlated with greater familiarity bias, providing financial professionals with information about how to allocate their limited time in providing education to a variety of clients.

The role that corporations play in environmental and social sustainability has become increasingly important due to their size and embeddedness in our everyday lives. This study aims to examine the relationship between corporate social responsibility (CSR) and corporate interlocks for the Fortune 500 companies.

To collect data, various sources were used including data web scraped from US Securities and Exchange Commission, Bloomberg ESG, ASSET4, Carbon Disclosure Project and data from each companies’ websites. To measure CSR, this paper uses an original United Nations Sustainable Development Goals (SDG) index, and to measure corporate interlocks, it uses the Bonacich centrality score and has a sample of 401 companies. To account for missing data, Bayesian multiple imputation was used. For the final analysis, linear regression analysis was conducted, for which all the assumptions are met.

The findings show that for most SDGs, corporate interlocks is an important predictor, but not for all SDGs. In other words, they indicate that corporate centrality remains to be an important variable in most aspects of CSR, but a more nuanced approach is required.

This paper uses the SDGs to provide a granular perspective of CSR, which is stronger and more methodologically rigorous compared to the existing metrics of CSR. Consequently, it provides an original insight into the corporate interlocks literature, which has not been empirically researched using granular CSR data.

Gender-diverse people experience unique cultural and interpersonal stigma in mainstream society and sometimes within their own communities; they face allegations of inauthenticity based on their nonconformity to either cisnormative or transnormative gender regimes. Based on 21 in-depth life history interviews, we unveil the intricate interactional process of negotiating identity and authenticity in the biographical work of gender-diverse individuals. In this study, gender-diverse people engaged in a “gender audit” with their gender-diverse interviewer. Gender audits yield verbal performances of gender with oneself and others. Ambiguity was “accounted for” or “embraced and created” in their biographical work to organize their life stories and undermine binary essentialism – a discourse that was “discursively constraining.” Gender audits took place in participants' day-to-day lives, either through self-audits, questioning from others, or both. In the final analysis, we assert that we all engage in gender auditing. Gender audits are intersubjective sites of domination, subordination, resistance, and social change. Gender diversity, then, can be viewed as a product of gender in flux.

The study examines the effects of religious identity, practices and beliefs on Muslim Americans' perceptions of discrimination and the extent to which religion might shape the perception of discrimination differently within Muslim race/ethnic groups.

Study data were obtained from the 2011 Pew Survey (N = 1,033), a nationally representative sample of Muslim adults 18 years old and older living in the United States. The sample weights with the exclusion of non-response cases were used for bivariate analyses. For multivariate analyses, multiple imputation procedures were employed to impute missing values on all variables.

Muslim Americans with high levels of religious practices are more likely and Muslim Americans with strong belief in religious tenets are less likely to report experiencing different forms of discrimination. Black, Asian and other/mixed race Muslims with high levels of religious practices report higher rates of discrimination than their white coreligionists. Within group comparison shows that the pure extrinsic group reports higher rates of perceived discrimination than the pro-religious, pure intrinsic and non-religious groups.

The study emphasizes varying effects of religious factors on different Muslim American groups in perceived discrimination and suggests researchers challenge a common perception of viewing religion as a “master status” for the Muslim identity.