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Compared to the years prior to the COVID-19 pandemic, more workers today seemingly have choice over where, when and how they do their work. However, gender inequalities at work and at home persist, which may impact perceptions of choice. Thus, researchers must investigate the potential impact of gender and domestic responsibilities on perceptions of work-related options, including perceptions of workspace choice.

Using an original dataset with workers in North America, South America, Europe and Asia (N = 3,147), the authors conducted logistic regression analyses to explore whether workers felt they had a choice in where they do their work (workspace choice). In addition to gender, the authors considered the effect of domestic responsibilities (childcare and housework) on worker perceptions of workspace choice.

In the paper's initial regression, the authors found that men (OR: 1.24; 95%CI 1.04–1.48) as well as workers reporting that a partner was responsible for all or most of the housework (OR: 1.80; 95%CI 1.34–2.40) and childcare (OR 1.51; 95%CI 1.09–2.09) reported feeling a greater sense of workspace choice. Simultaneously, follow-up regression analyses found that women and men whose partners had a greater share of domestic responsibility had amplified perceptions of choice. However, surprisingly, men who claimed primary responsibility for domestic work also reported more choice over workspace.

Using an international sample, the authors explore gender inequities in worker perceptions of workspace choice. The authors' findings suggest that domestic responsibilities interact with gender in interesting ways, leading to differences in perceptions of choice in the post-pandemic workplace.

The paper aims to enrich previous findings for an emerging banking industry such as Vietnam, reporting the difference between the parametric and nonparametric methods when measuring cost efficiency. The purpose of the study is to assess the consistency in issuing policies to improve the cost efficiency of Vietnamese commercial banks.

The cost efficiency of banks is assessed through the data envelopment analysis (DEA) and the stochastic frontier analysis (SFA). Next, five tests are conducted in succession to analyze the differences in cost efficiency measured by these two methods, including the distribution, the rankings, the identification of the best and worst banks, the time consistency and the determinants of efficiency frontier. The data are collected from the annual financial statements of Vietnamese banks during 2005–2017.

The results show that the cost efficiency obtained under the SFA models is more consistent than under the DEA models. However, the DEA-based efficiency scores are more similar in ranking order and stability over time. The inconsistency in efficiency characteristics under two different methods reminds policy makers and bank administrators to compare and select the appropriate efficiency frontier measure for each stage and specific economic conditions.

This paper shows the need to control for heterogeneity over banking groups and time as well as for random noise and outliers when measuring the cost efficiency.