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The purpose of this analysis is to explain why labor shortages may have appeared during this pandemic. Interestingly, in this COVID-19 pandemic period, the labor supply shortage could very well become more easily explained than under the traditional portrayal of consumer economic behavior. The matter seemingly lends itself to provocative empirical inquiry.

From this model, it can be shown that the consumer’s labor supply curve is negatively sloped and, indeed, could even assume the form of a rectangular hyperbola. Applying this model in the labor market could explain the labor shortage in the USA during the COVID-19 pandemic.

Arguably, rational consumer behavior can take the form, under a variety of circumstances (including cultural), for consumers/households that have achieved a “comfortable” standing of living/utility level, involve the minimization of work effort to achieve that utility level. In other words, constrained utility maximization is not the only rational form of consumer economic behavior. When the former behavior prevails over the latter, there are myriad implications. These do include an inverse relationship between work effort and wage rate, i.e. a negatively sloped labor supply curve.

This paper departs from the conventional treatment of deriving the supply curve of labor based on constrained utility maximization. Instead, it acknowledges that consumers may have a target standard of living and seek to minimize the cost of achieving that given living standard.

The purpose of this paper is to investigate the relationship between women in the board of directors, firm performance and corporate decisions as well as the risk of the firm, debt level, and research and development (R&D).

This study investigates a sample of 41 Italian listed companies. In particular, using a panel data of 369 firm-year observations, during the period 2005-2013, through a generalized method of moment, the relationship between women in the board of directors and corporate decisions has been investigated.

The results suggest that female representation in the board of directors affects corporate decisions. Women in the boardroom affect both financing and investment decisions. In particular, the presence of women seems to take on a complementary role to debt; it has a negative effect on risk and appears to have a positive impact on investment in R&D The results also suggest a strong relationship between female directors and firm value, especially when certain multicultural factors are considered. Finally, considering the concept of “critical mass,” in line with the arguments of Kanter (1977), the results seem to emphasize a greater influence of women with respect to corporate decisions, moving from “tokenism” to a “critical mass” scenario.

The outcomes of the application, besides improving the current knowledge on the relationship between female representation in the board of directors, innovation, financial, and accounting decisions, intend to reveal if the governance of Italian listed companies is efficient in determining company results and in pursuing optimal decisions. Moreover, the results could be useful for both policy makers for the regulation of corporate governance and the board of directors and as a suggestion to companies that regularly appoint the members of the board of directors.

The work is not limited to examining the relationship between female representation and the performance of firms but instead uses a series of indicators of corporate decisions and multicultural, such as, the nationality of women in board of directors, the educational level, the past experience, and their interaction with the variables concerning the decision-making process. To the best knowledge of authors, this is the first study that investigates the relationship between women and corporate decisions in a single civil law country.

Bank failures are critical events that have far-reaching implications for the financial system and various stakeholders. This study aims to focus on analyzing the phenomenon of small bank failures in the USA.

This study adopts the coarsened exact matching (CEM) technique to enhance the reliability of the analysis. By matching similar observed characteristics, the CEM approach helps to address potential selectivity bias and facilitates a more accurate estimation of the treatment effect. This study uses a data set covering the period from 2000 through 2019 and includes 523 failed bank observations and 43,605 nonfailed bank observations.

The results reveal several key findings. Small banks, especially those with lower yields on earning assets, those with lower charge-offs on loans and leases, those with higher core capital ratios and those with higher Fed Funds rates are found to be more susceptible to failure.

Some results align with initial predictions, whereas others present contrasting outcomes.

This study underscores the significance of understanding the factors contributing to bank failure and emphasizes the importance of studying small bank failures in particular.

This study uses the CEM method. CEM is a comprehensive approach that combines matching, sample trimming and reweighting techniques. When applying CEM, researchers carefully select a set of core variables to achieve balance between the treated and control groups. The CEM process involves discretizing each continuous variable into distinct bins or categories, a process known as “coarsening.” It then requires an exact match among these binned variables between the treated and control units, which constitutes the matching step in CEM.

The purpose of the current study is to identify variables that, when integrated into the random effects parametric survival model, could be used to forecast the failure rate of small banks in the USA. A bank’s income production, efficiency and costs were taken into consideration when choosing the internal components. The breakout of the financial crisis, bank regulations that affect how the banking sector operates and the federal funds rate are the primary external variables.

This study uses the random effects parametric survival model to investigate the causes of small bank failures in the USA from 1996 to 2019. The study identifies several characteristics that failed banks frequently display. The main indications that may help to identify the elevated risk of small bank failures include the ROA, the cost of funds, the ratio of noninterest income to assets, the ratio of loan and lease losses to assets, noninterest expenses and core capital (leverage) ratio to assets. Economic disruptions, financial market distress and industry-based regulatory redress by the government exacerbate the financial distress borne by small banks.

The study revealed that a failed bank typically demonstrates a certain number of characteristics. The key factors that might assist identify which bank would be most likely to collapse include the cost of funding earning assets, the yield on earning assets, core Capital (leverage) ratio to assets, loan and lease loss provision to assets, noninterest expense and noninterest income to assets. Additionally, when a financial crisis occurs or the government changes regulations that could raise the cost of compliance for small banks, the likelihood that a bank will fail increases.

Models based on survival theories are more suitable when the authors examine bank failure as a unique event that happens gradually. The authors use a random effects parametric survival model to investigate the internal and external factors that may influence prospective small bank failure. This model has been developed and used in the medicinal research field. The authors do not choose the Cox proportional hazards model because it does not work well with panel data.

The purpose of this study is to provide new empirical evidence on the impact of a variety of financial market forces on the ex post real cost of funds to corporations, namely, the ex post real interest rate yield on AAA-rated long-term corporate bonds in the USA. The study is couched within an open-economy loanable funds model, and it adopts annual data for the period 1973-2013, so that the results are current while being applicable only for the post-Bretton Woods era. The auto-regressive two-stage least squares (2SLS) and generalized method of moments (GMM) estimations reveal that the ex post real interest rate yield on AAA-rated long-term corporate bonds in the USA was an increasing function of the ex post real interest rate yields on six-month Treasury bills, seven-year Treasury notes, high-grade municipal bonds and the Moody’s BAA-rated corporate bonds, while being a decreasing function of the monetary base as a per cent of gross domestic product (GDP) and net financial capital inflows as a per cent of GDP. Finally, additional estimates reveal that the higher the budget deficit as a per cent of GDP, the higher the ex post real interest rate on AAA-rated long-term corporate bonds.

After developing an initial open-economy loanable funds model, the empirical dimension of the study involves auto-regressive, two-stage least squares and GMM estimates. The model is then expanded to include the federal budget deficit, and new AR/2SLS and GMM estimates are provided.

The AR/2SLS and GMM (generalized method of moments) estimations reveal that the ex post real interest rate yield on AAA-rated long-term corporate bonds in the USA was an increasing function of the ex post real interest rate yields on six-month Treasury bills, seven-year Treasury notes, high-grade municipal bonds and the Moody’s BAA-rated corporate bonds, while being a decreasing function of the monetary base as a per cent of GDP and net financial capital inflows as a per cent of GDP. Finally, additional estimates reveal that the higher the budget deficit as a per cent of GDP, the higher the ex post real interest rate on AAA-rated long -term corporate bonds.

The author is unaware of a study that adopts this particular set of real interest rates along with net capital inflows and the monetary base as a per cent of GDP and net capital inflows. Also, the data run through 2013. There have been only studies of deficits and real interest rates in the past few years.

This study aims to analyze withdrawn shareholder proposals to gain insight into the role of shareholder proposals in the governance of public corporations.

A cursory look at the data suggests that unions are the most likely group to withdraw proposals. The authors focus on the behavior of unions and find that unions often resubmit a shareholder proposal which had garnered significant support in the previous year, only to withdraw the proposal in the second year.

The contention is that the proposals were withdrawn in Year 2 because the issue was settled in a manner agreeable to the union. Furthermore, this research suggests that unions are more likely to withdraw proposals when the prior years’ appeal is higher, when firms have a record of poor performance, lower insider ownership or relatively independent boards. This phenomenon suggests that unions submit and withdraw shareholder proposals strategically. The authors contend that unions use shareholder proposals and the withdrawal of proposals to improve conditions for union workers at the expense of shareholder value.

This study suggests that unions submit and withdraw shareholder proposals strategically. The authors contend that unions use shareholder proposals and the withdrawal of proposals to improve conditions for union workers at the expense of shareholder value.

Audit quality studies document that accruals decrease when the audit firm is large, or the audit firm is an industry specialist, or the audit‐client tenure is long. The purpose of this paper is to posit that incentives related to highly‐valued equity mitigate these results, as managers use income increasing accruals to augment earnings.

To test this assertion, the authors regress discretionary accruals on: controls, a highly valued equity indicator variable equal to 1 if the client's lagged price‐to‐earnings ratio is in the highest P/E quintile, indicator variables equal to 1 for alternative measures of audit quality, and interaction terms between the highly valued equity indicator variable and audit quality indicator variables.

Results of tests show positive and statistically significant coefficients for each of the highly‐valued equity‐audit quality interaction terms, suggesting that when a firm is highly valued the accruals' decreasing effect of high quality auditors is reduced.

Beginning with Jensen's article regarding the agency costs of overvalued equity, a stream of research examining factors associated with highly priced firms has developed. The paper extends these findings, as well as the considerable body of audit quality studies, by examining the ability of a high quality auditor to attenuate this result.

This study aims to explore the relationship between top management characteristics and intellectual capital (IC) performance of small companies.

This research offers an empirical investigation into a unique sample of 135 small Italian companies, which have been recognised as meeting legal values. This study uses a regression analysis to test whether CEO age, CEO connections and management team size affect IC performance.

Companies managed by CEOs with higher levels of connections and with a greater number of managers exhibit improved IC performance. In addition, this study provides evidence that companies with older CEOs demonstrate better IC efficiency.

This study does not consider all top management-specific factors and incentives that may affect IC performance and uses a limited sample of companies.

This study suggests that increased network activity and larger management teams are beneficial for small companies to improve the efficiency of IC used.

The work offers novel empirical evidence to understand what governance and management-specific factors affect the efficiency in managing IC assets in small companies.