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We study the distortions that downward nominal and real wage rigidity would induce to a flexible form of a notional, rigidity-free, distribution of wage change using the histogram-location approach. We examine alternative methods of generating the histograms that support the econometric search for rigidity distortions and implement our approach to inflation sub-periods that should be characterised by different patterns of nominal and real rigidities. We establish the general applicability of the approach to these sub-periods and find results consistent with expectations.

Early models of the functional distribution of income assume constant labor productivity among all individuals. Not until human capital theory developed did scholars take into account how productivity varied across workers. According to early human capital models, this variation came about because each individual invested differently in education and training. Those acquiring greater amounts of schooling and on-the-job training earned more. However, these models neglected why one person would get training while another would not. One explanation is individual heterogeneity. Some individuals are smarter, some seek risk, some have time preferences for the future over the present, some simply are lucky by being in the right place at the right time, and some are motivated by the pay incentives of the jobs they are in. This volume contains 10 chapters, each dealing with an aspect of earnings. Of these, the first three deal directly with earnings distribution, the next four with job design and remuneration, the next two with discrimination, and the final chapter with wage rigidities in the labor market.

This study investigates the antecedents of women entrepreneurs’ performance in an emerging economy. Based on the review of extant literature, six antecedents of women entrepreneurs’ performance, namely, motivation, networking, socio-cultural, business environment, training and development, and financials were proposed and subsequently empirically examined.

Gaps in the literature were identified, based on which the theoretical background of the study was formulated. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were applied to confirm the factor-item structure. The impact of explanatory variables was investigated using the structural equation modeling (SEM) based path analysis.

The study concludes that motivation, networking, socio-cultural, business environment, training and development, and financials have a significant positive influence on the performance of the women entrepreneurs.

There is a dearth of quality research that holistically investigates the key antecedents of performance among women entrepreneurs. Most existing studies have not considered the possible antecedents of performance concomitantly. Additionally, the relationships have been measured individually rather than at the construct level. Further, a majority of the existing studies investigating the performance of women entrepreneurs have been confined to settings within developed countries. By providing insight into the antecedents of women entrepreneurs’ performance elsewhere, the present study attempts to bridge these identified gaps. This study is expected to advance the knowledge about the factors influencing the performance of women entrepreneurs in emerging economies such as India. These insights will likely be valuable when creating policies related to this crucial aspect of economic development.

The outbreak of COVID-19 not only had serious negative impacts on the world economy but also on the global mental health because of the psychological disorders associated with the spread of the pandemic, the increased degree of uncertainty and the unprecedented measures taken by different countries to face the pandemic’s spread. This paper analyses the mental health well-being of individuals in selected MENA countries (Jordan, Morocco, Tunisia and Egypt) during the pandemic.

The study employs a pooled OLS model using the Economic Research Forum (ERF) COVID-19 MENA Monitor Survey panel dataset collected during 2020 and 2021.

The findings show that there is no association between the mental health of individuals in the selected countries and their age, gender, family size, marital status, receipt of social support and participation in care work. Mental health improved at higher levels of education, being employed, being a rural area resident and living in Morocco or Tunisia compared to living in Jordan while it worsened as income declined, food insecurity and anxiety about being infected with Covid-19 increased, being a resident in camps, and during waves 4 and 5. Based on these results, it is recommended that suitable financial, physical and human resources should be directed towards the provision of mental health care services in the region. Also, mental health care services should be accessible to different population groups, with a special focus towards the most vulnerable since they are more prone to mental illnesses, especially during health crises and economic shocks. This should be accompanied by increasing awareness about the provided services and reducing stigma against mental illnesses. Furthermore, introduction of policies targeted towards reducing food insecurity and income instability can play a key role in enhancing mental well-being.

Although few papers have previously investigated the impact of COVID-19 on mental health in MENA countries, most of them have focused on a country-level analysis and adopted a gender perspective. Hence, this paper aims at exploring the association between mental health well-being and socio-economic factors in selected MENA countries during the pandemic.

The present study aims to suggest a new approach to hotel quality rating, specifically designed for the business travel segment, where the evaluation of surveyed consumers (business travelers) does not necessarily reflect the priority of customers (corporate travel departments [CTDs]).

Preliminarily, the authors defined key areas (domains), exploring what was done by quality certifiers recognized worldwide. Then, each domain quality was considered as a latent variable measured by a set of observable attributes (sub-domains) surveyed by a professional assessor. A continuous, fine-grained, composite indicator (CI) for quality was finally obtained by a weighted average of the domain (latent) quality measures. Weights were endogenously determined by data envelopment analysis.

The suggested CI shows both the existence of large quality disparities within the same star rating and a relevant bias in the internet reviews. A “soundproofed” room, a front desk open 24 h with sufficient staff and an adequate urban context are necessary features of any business hotel.

Data came from a professional assessor’s database; therefore, the authors could only consider a three-domains measurement model. The database is mainly composed of three- and four-star hotels in Italy; nonetheless, these accommodations are the most widespread in the Italian corporation hotel programs, preserving the practical utility of the results.

This study provides a transparent (replicable) evaluation protocol that is of potential use in the most popular models for quality measurement; any assessor can use it to underline its impartiality to CTD and assessed hotels.