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The authors' work aims to identify the employer-specific drivers of the college (or university) wage gap, which has been identified as one of the major determinants of the dynamics of overall wage and income inequality in the past decades. The authors focus on three employer-level features that can be associated with asymmetries in the employment relation orientation adopted for college and non-college-educated employees: (1) size, (2) the share of standard employment and (3) the pervasiveness of incentive pay schemes.

The authors' establishment-level analysis (data from the Basic Survey on Wage Structure (BSWS), 2005–2018) focusses on Japan, an economy characterised by many unique economic and institutional features relevant to the aims of the authors' analysis. The authors use an adjusted measure of firm-specific college wage premium, which is not biased by confounding individual and establishment-level factors and reflects unobservable characteristics of employees that determine the payment of a premium. The authors' empirical methods account for the complexity of the relationships they investigate, and the authors test their baseline outcomes with econometric approaches (propensity score methods) able to address crucial identification issues related to endogeneity and reverse causality.

The authors' findings indicate that larger establishment size, a larger share of regular workers and more pervasive implementation of IPSs for college workers tend to increase the college wage gap once all observable workers, job and establishment characteristics are controlled for. This evidence corroborates the authors' hypotheses that a larger establishment size, a higher share of regular workers and a more developed set-up of performance pay schemes for college workers are associated with a better capacity of employers to attract and keep highly educated employees with unobservable characteristics that justify a wage premium above average market levels. The authors provide empirical evidence on how three relevant establishment-level characteristics shape the heterogeneity of the (adjusted) college wage observed across organisations.

The authors' contribution to the existing knowledge is threefold. First, the authors combine the economics and management/organisation literature to develop new insights that underpin the authors' testable empirical hypotheses. This enables the authors to shed light on employer-level drivers of wage differentials (size, workforce composition, implementation of performance-pay schemes) related to many structural, institutional and strategic dimensions. The second contribution lies in the authors' measure of the “adjusted” college wage gap, which is calculated on the component of individual wages that differs between observationally identical workers in the same establishment. As such, the metric captures unobservable workers' characteristics that can generate a wage premium/penalty. Third, the authors provide empirical evidence on how three relevant establishment-level characteristics shape the heterogeneity of the (adjusted) college wage observed across organisations.

This study investigates the impact of the increasing proportion of older workers in the workforce by establishing a theoretical framework and estimating the degree of substitutability between them and their younger counterparts.

The first step is to establish a theoretical framework that combines older and younger workers with imperfect substitutability in the production of final goods within an aggregate production function. The author then derives an equation that relates the relative wage, relative supply and elasticity of substitution between the worker types, for use in estimation. Using data from Japan’s Basic Survey on Wage Structure and Population Census from 2010 to 2019 across 47 prefectures, the author estimates the elasticity of substitution between older and younger workers in Japan.

The author finds that workers aged 55 and over and their younger counterparts are gross substitutes, and the estimated elasticity of substitution is in the range of 2.33–2.86. This implies that a 10% increase in the relative number of workers aged 55 and older leads to a fall in their relative wage in the range of 3.5–4.3%. The study estimations suggest that since 2010, there has been a convergence in the relative wage of older workers across Japan’s prefectures.

Understanding the degree of substitutability between older and younger workers is essential for quantitatively assessing the impact of workforce aging, technological advancements and labor policies on the wage distribution. This study estimates the elasticity of substitution between the two worker types based on a theoretical model, and utilizes recent datasets and methodology not adequately addressed in previous literature.

This study aims to examine the rationales for and obstacles to developing a national qualifications framework (NQF) in Japan. From a research perspective, it attempts to propose a model of a qualifications framework in the national context to provoke further political discussion in developing the Japanese Qualifications Framework (JQF).

To propose a possible model of a qualifications framework in the Japanese context, this study employs a qualitative document analysis approach to known NQFs. Next, based on documents and the literature, including government data and the United Nations Educational, Scientific and Cultural Organization’s Tokyo Convention (2011a, b), this study analyzes the motives and challenges in developing the JQF.

Japanese motives to develop the JQF can be summarized in four conditions: (a) International expectations along with the Tokyo Convention and establishment of the National Information Center, (b) avoiding qualification holders’ disadvantages in mobility, (c) quality assurance of qualifications with a competence-based approach and (d) lifelong learning by promoting recognition of diverse learning. The challenges in developing the JQF are (a) fitness with the traditional employment system and (b) multiple stakeholders’ involvement. The current priority in developing an NQF in Japan is to make educational qualification information “visible” based on legal grounds, particularly entrance requirements, to facilitate mobility.

This study explores the possibility of the JQF by summarizing the background and roles of NQFs worldwide and clarifying the motives and challenges for developing the JQF. This study provides suggestions for the possible qualifications framework model in the Japanese context from academic and practical perspectives in Japan, where official discussions on establishing an NQF have not progressed. Ensuring the international compatibility of qualifications so that qualification holders can smoothly take the next step in their studies and employment is important.

This study aims to explore the mechanism of the relationships between financial and non-financial outcomes and gender equality through a case study of a Japanese bank that has consistently pursued gender equality.

A single case study was adopted to explore the outcomes of promoting gender equality. Primary data were collected from 12 semi-structured interviews. Data were analysed by rereading and coding the interview responses coded to generate themes.

Through governance reform in Company A, women have been placed in top management positions and the number of female managers has increased, allowing frontline intentions to be reflected in decision-making. The increased number of female managers has led to a decrease in female turnover, men taking parental leave, improved training of female managers and the recruitment of excellent new graduates. The appropriate allocation of jobs to female managers and employees also meets customer needs and has led to increased sales. Finally, involvement of female employees in product development in male-dominated workplaces brings women’s experiences and perspectives to product development, resulting in the development of products that are favoured by customers.

This study determined the mechanism behind the relationships between financial and non-financial outcomes and gender equality, based on agency, upper echelons, resource dependence, institutional and social role theories. It also contributes to gender equality research methodology by providing compelling qualitative stories of gender equality outcomes to increase a company’s commitment to promoting gender equality.

We study the potential effects of pension underfunding on corporate investment, financial constraints and improved employee bonding using 10 Pacific-Basin countries (including the United States, Australia, and eight Asian countries) at heterogeneous economic development stages and different regulatory environments. We document that corporate pensions are significantly underfunded in most countries of our sample in the period of 2001–2017, when interest rates were ultralow in most countries. In addition, firms from countries with stronger employee protection and more generous retirement benefits tend to show higher levels of underfunding in their defined benefit (DB) pension plans. To the extent of pension underfunding imposing constraints on corporate investment, we find that firms in these countries can face more constraints on investment when their pension is underfunded.

This study investigated the gender wage gap in Nigeria by analysing two waves of household surveys (in 2003–2004 and 2018–2019) in order to understand the dynamics or polarisation of the labour market in Nigeria in terms of the gender wage gap over time.

The study applied an extension of Oaxaca–Blinder decomposition that relies on the re-centred influence function (RIF) regressions to analyse the gender wage gap at all points along the wage distribution.

The results unambiguously show that there is a significant gender wage gap in Nigeria at all points along the wage distribution, such that for the two surveys used and after nearly two decades, men still earn more than women. That is, the log wage difference between males and females is statistically significant at all points between the 10th and the 90th quantiles. In 2003–2004 period, the authors found that most of the wage difference was significantly accounted for by the wage structure effect, whilst the composition effect was negative and only significant at the bottom of the wage distribution. Since the 2018–2019 period, the authors found that there has been a visible change such that most of the gender wage gap is now accounted for by the composition effect at all points along the wage distribution. Another interesting finding is that there has been a general decline in the gender wage gap along the entire wage distribution, such that inequality was higher in 2003–2004 than in 2018–2019. This decline is bigger at the top than at the bottom of the wage distribution. The authors also found that, contrary to some of the studies on the wage gap, the raw gaps for the two surveys appear to show inverted U-shape, but the gap has fallen quickly since the 2018–2019 period. Thus, the authors found strong evidence of a “sticky floor” compared to a “glass ceiling” effect in both periods, and this becomes more pronounced over time. In terms of the contributions of individual covariates on gender pay gap in Nigeria, the authors found that urban residence, unionisation, education and occupation variables exhibit major influence. However, the effects of covariates on the composition and wage structure components of the wage gap have changed over time.

The major policy implication of these findings is that to address the gender wage gap in Nigeria, policy should focus more on how labour is rewarded and improving human capital for women.

This study is a novel paper in Nigeria that has investigated the gender wage gap in Nigeria by extending the focus of literature in three ways. First, the authors applied an extension of Oaxaca–Blinder decomposition that relies on the RIF regressions to analyse the gender wage gap at all points along the wage distribution. Second, the authors used sample selection bias to account for the non-randomness of participation in wage employment. And third, the authors applied similar analysis to two waves of household surveys (in 2003/2004 and 2018/2019) in order to understand the dynamics or polarisation of the labour market in Nigeria in terms of the gender wage gap over time.

This article aims to investigate whether there is a relationship between education for the labor market in the post-pandemic stage and the educational quality of universities, taking as a sample a group of Latin American countries and their main trading partners. Reference is made to the Global Competitiveness Report 2020 of the World Economic Forum (WEF) and the Quacquarelli Symonds (QS) index, which evaluates the quality of universities.

Correlations, clusters and T-tests were generated to test for significant differences, resulting in two blocks of countries being identified with statistically significant differences in educational efforts to prepare their citizens for the labor market and the quality of their universities.

It is concluded that there are examples of Latin American countries that, although they are emerging economies, are updating their educational systems at an accelerated pace to meet the needs demanded by the labor market, such as Chile and Argentina. In addition, there are some particular cases of Latin American QS universities that although they are not at a high level in their overall educational quality as a university, compared to North American and Asian universities, their graduates do show a high employability index. This means that in the graduate profile, these universities are also accelerating efforts to position them at a high level of preparedness to respond to the jobs and markets of tomorrow, just as the universities in developed economies do.

Although the sample size is a limitation of this work, since it is based on secondary information reported by the WEF (2020) and the QS World University Rankings (2021), it contributes value by analyzing specific cases. Despite its limitations, the study yields meaningful results that put the challenges of post-pandemic employment and the role that universities play in a comprehensible framework.

These results put special attention on the work of universities as a crucial entity to prepare citizens to develop the competencies needed for the post-pandemic labor market, especially in terms of critical thinking and digital skills. Human capital formation will drive the post-pandemic recovery process of leading countries and universities.

This study investigates the nexus between the returns on oil prices (OP) and unemployment (UR) while taking into account the influences of two of the most representative measures of uncertainty, the Baker et al. (2016) and Caldara and Iacovello (2021) indexes of economic policy uncertainty (EP) and geopolitical risks (GP), in the relationship.

The authors use data on the US, Canada, France, Italy, Germany and Japan from January 2000 to February 2022 and the UK from January 2000 to December 2021. The authors then apply the continuous wavelet transform (CWT), wavelet coherence (WC), partial wavelet coherence (PWC) and multiple wavelet coherence (MWC) to examine the returns within a time and frequency framework.

The CWT tracks the movement and evolution of individual return series with evidence of high variances and heterogenous tendencies across frequencies that also align with critical events such as the GFC and COVID-19 pandemic. The WC reveals the presence of a bidirectional relationship between OP and UR across economies, showing that the two variables affect each other. The authors’ findings establish the predictive influence of oil price on unemployment in line with theory and also show that the variation in UR can impact the economy and alter the dynamics of OP. The authors employ the PWC and MWC to capture the impact of uncertainty indexes in the co-movement of oil price and unemployment in line with the theory of “investment under uncertainty”. Taking into account the common effects of EP and GP, PWC finds that uncertainty measures significantly drive the co-movement of oil prices and unemployment. This result is robust when the authors control for the influence of economic activity (proxied by the GDP) in the co-movement. Furthermore, the MWC reveals the combined intensity, strength and significance of both oil prices and the uncertainty measures in predicting unemployment across countries.

This study investigates the relationship between oil prices, uncertainty measures and unemployment under a time and frequency approach.

1. Wavelet approaches are used to examine the relationship between oil prices and unemployment in the G7.

2. We account for uncertainty measures in the dynamics of oil prices and unemployment.

3. We observe a bidirectional relationship between oil prices and unemployment.

4. Uncertainty measures significantly drive oil prices and unemployment co-movement.

5. Both oil prices and uncertainty measures significantly drive unemployment.

Wavelet approaches are used to examine the relationship between oil prices and unemployment in the G7.

We account for uncertainty measures in the dynamics of oil prices and unemployment.

We observe a bidirectional relationship between oil prices and unemployment.

Uncertainty measures significantly drive oil prices and unemployment co-movement.

Both oil prices and uncertainty measures significantly drive unemployment.

This paper aims to test the hedging ability of housing investment against inflation in Japan and the USA during the period 2000–2020.

This study applies the deep learning method and The exponential general autoregressive conditional heteroskedasticity in mean (1, 1) model with breaks.

Within the asymmetric framework, it is found that housing returns (HR) can hedge against inflation in both these markets, which mentions that when investing in the housing market in Japan and the USA, investors are compensated for bearing from inflation. This result is consistent with Fisher’s hypothesis. Especially, the empirical results show that the risk-return tradeoff is available in Japan’s housing market and not available in the US housing market. Any signal of a high inflation rate – referred to as “bad news” – may cause a drop in HR in Japan and a raise in the USA.

To the best of the author’s knowledge, this is one of the first studies using the deep learning method (long short-term memory model) to estimate the expected/unexpected inflation rates.