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This study aims to use a comparative analysis to examine the channel of deferring cash commitments, which can be seen as a strategic solution to mitigate the impact of COVID-19 on Moldova's service sector.

This paper uses the Oaxaca–Blinder decomposition analysis. The World Bank's post-COVID-19 survey is used. The methodology takes into account heterogeneity among firms.

The results of the Oaxaca–Blinder decomposition analysis show that service firms use deferred cash commitments more than industrial firms, corporate governance and their pandemic-related strategies are also effective in the post-COVID Moldovan economy. The results are robust to different modeling alternatives.

COVID-19 can be considered a key source of uncertainty for firms, especially those operating in economies where financial frictions occasionally occur in a transition economy. Therefore, this study can shed new light on the impact of COVID-19 on financial strategies in a transition economy.

This chapter tries to capture the disparity in expenditure on primary education based on gender among the religious groups (Hindu, Muslim, and Christian) in rural India. The gender gap in education expenditure for a certain demographic group is calculated using the Oaxaca–Blinder decomposition approach. Further, we tried to identify the various household-related factors which might influence the decision of spending on a child's education. We used the 75th-level National Sample Survey Office (NSSO) unit-level dataset of July 2017 to June 2018 (one academic year) to obtain data on education expenditure and other household factors which play a manifesting role in the gender gap in expenditure on education. Our finding suggests that the total differential (log mean boys education expenditure-log mean girls education expenditure) is positive among all religious groups signifying the gender bias in education expenditure. We also found that the magnitude of the “Unexplained Effect” component is higher compared to the “Explained Effect” component signifying that the treatment of characteristics by students differs by their sex at elementary education. Household size and if household members are employed on a casual basis, then their expenditure on education falls on the other hand income of the household, a household with computer availability and household member engaged in regular wage/salary earning plays a positive role in expenditure on primary education in rural India.

This article studies the impact of micro and macro factors on firm performance in the context of an emerging economy just changed from a subsidized economy to a market economy.

The authors carried out an investigation into 30 listed food processing companies in Vietnam from 2014 to 2019. The data are analyzed by using STATA software. In this study, beside the regression analytical technique, the Blinder–Oaxaca decomposition analysis is used to study more deeply the effect of variables on financial performance of food processing companies, so its results are reliable base to give suggestions.

The results of empirical research help us to have some following conclusion. First, two variables consisting of total assets turnover ratio (ATR) and growth in sales significantly influence financial performance, when it is measured by return on equity (ROE) or return on sales (ROS). Second, leverage significantly negatively impacts return on sale. Third, there are difference in financial performance and the effect of predictors on dependent variable “ROS” between state-owned enterprises (SOEs) and non SOEs, and the causes come from the component effect.

In fact, although a range of previous researches on that topic have been carried out, none of them dig deeper reasons resulting to the differences in financial performance between SOEs and non SOEs, whereas Vietnamese economy has just changed to a market economy since 1986, making impacts of State ownership totally different from other countries. In this study, the authors use the t-test and analysis to have more accurate conclusions about that problem.

The purpose of this paper is to analyse the role played by parental education endowments vs intergenerational transmission of education in education differences between second-generation immigrants and natives for the French case.

First, estimates of human capital accumulation functions are performed by using a representative sample of the French population. Second, the Blinder-Oaxaca decomposition technique is implemented to underline the specific roles of differences in parental education endowments and of differences in intergenerational transmission in education between origins.

The econometric estimates of human capital accumulation function parameters underline that the determinants of education level (and their magnitude), differ substantially between natives and migrants. They also underline evidence of heterogeneity in the intergenerational transmission of education among the different origins of migrants in France. The Oaxaca-Blinder decomposition results show that parental education endowments account differences for a significant part of the education gaps among origins. No evidence is found that differences in parental transmissions of education explain these gaps.

The paper focusses on France, a country with a rich history of immigration in the twentieth century. The econometric analysis is based on a rich source of data for France that allows studying intergenerational mobility in education and also distinguishing natives from second-generation migrants based on their geographical origin.

This paper aims to evaluate the socio-economic factors of inequalities in common mental disorders (MDs) between advantaged and disadvantaged groups and also to determine the main contributors of inequality.

This cross-sectional study was conducted in 2016–2017. The authors included 763 persons by stratified cluster sampling; clusters were cities, geographical area and households. Blinder-Oaxaca decomposition technique was used to estimate of main inequalities determinant between advantaged and disadvantaged groups.

Overall prevalence of MDs was 22.6 and 35.6% in the advantage and disadvantaged groups, respectively. The concentration index was −0.013 [95% Confidence Interval (95% CI): −0.022, −0.004]; therefore, MDs were more concentrated in the deprived group. The risk of MDs in deprived group and females was 81 and 60% higher than advantaged group (OR: 1.81; 95% CI: 1.28, 2.57) and males (OR: 1.60; 95% CI: 1.21, 2.24), respectively. Educational status [−0.06 (95% CI: −0.10, −0.01)] was the highest level of contribution in inequality in gaps between groups.

The socio-demographic inequality in MDs among adult population was more explained by lower educational level, married persons and unemployment variables.

The present study delves into the health inequalities between the two most socially deprived groups namely Scheduled Tribes (STs) and Scheduled Castes (SCs) in rural India.

This study used health-specific three rounds of National Sample Survey Office (NSSO) unit-level data for analyses. Probit model has been used to predict the differences in access to maternal healthcare services. Blinder–Oaxaca decomposition method is used to explore the inequality in health of rural population in India and assess the estimated relative contribution of socioeconomic and demographic factors to inequalities in maternal health.

The study establishes that STs women often perform poorly compared to SCs in terms of maternal health such as antenatal care, postnatal care and institutional delivery. Blinder–Oaxaca decomposition method shows that there exist health inequalities between STs and SCs women. Difference in household income contributes 21–34 percent and women's education 19–24 percent in the gap of utilization of maternal healthcare services between SCs and STs women. A substantial part of this difference is contributed by availability of water at home and geographical region. Finally, the study offers some policy suggestions in order to mitigate the health inequalities among socially marginalized groups of SCs and STs women in rural areas.

This study measures and explains inequalities in maternal health variables such as antenatal care, postnatal care and institutional delivery in rural India. Research on access to maternal healthcare facilities is needed to improve the health of deprived sections such as STs and SCs in India. The results of this study pinpoint the need for public health decision-makers in India to concentrate on the most deprived and vulnerable sections of the society. This study thus makes a detailed and tangible contribution to the current knowledge of health inequalities between the two most deprived social groups, i.e., SCs and STs.

Social determinants of stressful events (SE) play an important role in justifying the cause of inequality in the experience of SE. The purpose of this study is to investigate the determinants that impact on inequality in the experience of SE.

The statistical population of this study includes all residents of Tehran. The statistical sample was 5,895 people who were selected by multistage cluster method and were proportional to the population size. The research tool is a researcher-made questionnaire designed to measure SE in Tehran, which includes 11 psychological stressors. The Oaxaca–Blinder decomposing method was used to analyze data.

In a total of 11 psychological SE, in 6 of those events, there was significant inequality in the experience of SE. Concentration Index (CI) of political SE is (CI = −0.27, 95% CI: −0.47, −0.07) and in favor of the rich (pro-rich). Education (OR = 1.60) in poor group and region development in poor and rich (respectively in all of the following) (OR = 0.42–0.73) are the main determinants of inequality in this stressor. CI of neighborhood underdevelopment SE is (CI = −0.47, 95% CI: 0.66, −0.28) and pro-rich. Education (OR = 1.26–1.27) and region development (OR = 1.18–2.24) are the main determinants of inequality in this stressor. CI of livelihood problems SE is (CI = −0.58, 95% CI: 0.68, −0.32) and pro-rich. Education (OR = 1.40) and health status (OR = 1.63) in poor group are the main determinants of inequality in this stressor. CI of future uncertainty SE is (CI = −0.12, 95% CI: 0.34, −0.08) and pro-rich. Gender (OR = 1.22) in poor group and region development (OR = 0.24–0.58) are the main determinants of inequality in this stressor. CI of education problems (CI = 0.19, 95% CI: 0.05, 0.32) and pro-poor. Age (OR = 0.32–0.34) and education (OR = 3.65–3.30) are the main determinants of inequality in this stressor. CI of housing problems is (CI = −0.29, 95% CI: −0.49, −0.08) and pro-rich. Education (OR = 1.31) and region development (OR = 1.64) in poor group are the main determinants of inequality in this stressor.

The first limitation is related to the level of data analysis, and the second limitation is the lack of comprehensive data on social determinants.

Social determinants affecting the formation of inequality in the experience of SE. Some social determinants, such as the level of education and development of the region, play a more prominent role in justifying inequality in the experience of stress between rich and poor groups.

Inequality in the experience of SE is a serious threat to mental and social health. One of the ways to reduce the experience of psychological and social stress is to pay attention to social determinants that play a role in the formation of stress.

This original paper was conducted by examining the effect of social determinants on the formation of inequality in the experience of stress, which draws the serious attention of policymakers.

This study uses migrant household survey data from 2008 to 2009 to examine how parental migration decisions are associated with the nutritional status of children in rural and urban China. Results from instrumental variables regressions show a substantial adverse effect of children’s exposure to parental migration on height-for-age Z scores of left-behind children relative to children who migrate with their parents. Additional results from a standard Blinder–Oaxaca decomposition, a quantile decomposition, and a counterfactual distribution analysis all confirm that children who are left behind in rural villages – usually because of the oppressive hukou system – have poorer nutritional status than children who migrate with their parents, and the gaps are biggest at lower portions of the distribution.

This study compares the performance of female majority-owned new ventures (FNV) vs. male majority-owned new ventures (MNV). It analyzes the differences in levels of variables such as education, the same industry work experience of owners, and other venture level attributes between FNVs and MNVs. More importantly, this study employs decomposition techniques to determine the individual contribution from the intergender difference of each attribute on the performance of the new venture. For example, the study finds that, on average, the owners of an MNV possessed 3.4 years more of the same industry work experience than their FNV counterparts. This difference in work experience accounted for 47% of the “explained” gap [1] in Net Profits between the FNVs and MNVs.

This paper utilizes the Kauffman Firm Survey, a longitudinal dataset of 4,928 new ventures started in the USA in 2004. It employs Blinder-Oaxaca and Fairlie decomposition techniques in conjunction with OLS and Logit regressions. Both methods provide point estimates of contributions to the performance gap due to the heterogeneity in each attribute across the groups (FNV and MNV). This approach has a significant advantage over OLS or mediation analysis, which can only provide a directional analysis of the contributions of differences in attributes to performance.

The paper finds no performance gap between MNVs and FNVs. It further investigates whether the heterogeneous characteristics of MNVs vs FNVs are related to different effects on survival and performance. It finds that characteristics such as owners’ work experience in the same industry, average hours worked by owners in the new venture, the technology level of the venture, and its incorporation status are related with a differential impact on new venture survival and performance.

All firms in the dataset belonged to a single cohort (2004) of new ventures started in the US. Future studies are encouraged to develop a dataset from multiple geographies and founding over several years so that the results may be more generalizable.

The paper provides crucial practical guidance to policymakers, investors, and entrepreneurs. In general, policies that enhance the work experience of women entrepreneurs and provide access to infrastructure such as daycares, which may allow them to work more hours, would probably improve the performance of FNVs.

The paper furthers the literature on women entrepreneurship by analyzing point estimates of differential contribution of disparate variables to performance. From a methodological perspective, the study reconciles the results between regression and decomposition analyses.

The purpose of this paper is to analyse the determinants of the survival of Spanish companies.

Two approaches are used and they are complementary. The first approach analyses the determinants of survival probability. For this purpose, a binary choice model is built and estimated using a sample of companies from the main economic sectors taken from the SABI database. Likewise, the Blinder–Oaxaca decomposition is applied to quantify the difference between companies with employees and without employees and the proportion of this difference that owes to observed factors or unobserved factors. Finally, the second approach is a survival analysis carried out through the Cox proportional hazard model that identifies the determinants of the duration of business activity.

The results of the empirical analysis show that companies without employees present less favourable conditions for survival at all stages of their evolution than companies with employees.

The contribution of this study to the empirical literature consists in analysing the difference between companies with and without employees. Due to the structure of Spanish companies, this aspect and the determinants of such difference are essential for policymakers to increase the survival for companies.