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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 move beyond individual level characteristics of founders to explain the performance gap between white and black majority owned new ventures. It specifically investigates three potential mediators: demographic characteristics of venture’s location, financial size of the venture and its credit riskiness.

The Kauffman Firm Survey, a longitudinal data set of 4,928 new ventures started in the USA in 2004, has been utilized in this paper. Pooled OLS and Logit regression models were employed for direct effects. Mediation effects were tested using two different approaches: the Baron and Kenny approach and decomposition analysis.

The paper finds that the financial size and credit riskiness mediate the relationship between majority race ownership and the performance of a venture.

The data were collected for a single cohort (2004) of nascent firms; furthermore, the sample draws from firms based in the USA. Future studies could replicate this research utilizing samples of different cohorts and from other parts of the world.

The paper provides important guidance to policy makers. In general, to reduce the performance gap between black and white owned ventures, providing access to subsidized assets, capital and credit could be very helpful.

Past research suggests that the majority race ownership of a new venture impacts its performance and attributes these differences to heterogeneous endowments, usually of the primary owner. In this paper, analyses are conducted at multiple levels and new mechanisms through which the internal resources and capabilities of a new venture mediate the relation are discovered.

The relationship between religiosity and female labour market attainment has been widely investigated for the USA; however, no comparable study has been undertaken for the Canadian context. The purpose of this paper is to redress this critical oversight of the literature by examining the impact of religiosity on Canadian female labour supply, both at extensive and intensive margins.

Using data from the Canadian Ethnic Diversity Survey, the authors consider all the measurable dimensions of religiosity, for the pooled sample, as well as by religious group. A wide array of control variables is included in the regressions to insure the reliability of the estimates.

The authors find that overall religiosity inversely relates to female labour supply in Canada. When the impact of religiosity is assessed on a by religion basis, it is revealed that Protestant females are penalized, by far the most.

The result is comparable with the pattern uncovered in the USA for Conservative Protestant females. Unlike what can be expected, no statistically significant difference is detected between religious-nones and Catholics, suggesting a convergence of gender ideologies.

The investigation reveals interesting patterns that not only contribute to the current state of literature, but also motivate future research. Fairlie and Oaxaca-Blinder decomposition techniques are also used to further explore attainment gaps among the religious groups.

At the end of the 1970s, the Chinese government enacted the one-child policy; now the one-child successively enters into the labor market and reaches the age for marriage and childbirth. The floating population group of China’s interior regions also experiences the heterogeneity changes. The purpose of this paper is to analyses the reasons for the difference of family migration between one-child and non-only child using the binary logit regression model – from the three aspects of individual characteristics, family endowment and institutional factors were investigated.

Family migration or individual migration of the floating population is the dichotomous dependent variable and therefore the binomial logistic regression analysis model is selected.

It is found that the tendency of one-child family migration is significantly higher than that of non-only child. The main reason is that the one-child has obvious advantages in terms of individual characteristics, family endowment and institutional factors.

The previous researches on family migration: first, the previous researches mainly analyzed the impact of the human capital and family income on the family migration from the perspective of economics and neglected the discussion on the family structure, life cycle, family level factors and Hukou’s limitation; second, most researches considered the migration as a whole. In fact, the migration population is no longer a highly homogeneous group and gradually become diversified.

This paper examines India's socio-economic attributes and different financial dimensions of financial inclusion (FI).

The paper uses a principal component analysis (PCA) to build indexes related to financial dimensions. It applies the logistics regression model and the Fairlie decomposition method to determine India's socio-economic and financial characteristics of FI.

Based on the logistic regression, socio-economic factors like age, gender, marital status, level of education and religion have an impact on FI. The use of financial institutions has positively contributed to the probability of FI, while the low proximity of financial service providers retards the process of FI. Fairlie decomposition concludes regional disparity and gender disparity in FI; however, the rural–urban gap in FI is not captured by the variables included in the study. The main reasons for the discrepancy are lack of education, financial literacy, the proximity of financial service providers and lack of financial institutions.

This paper makes two important contributions: first, it presents a micro-level analysis of FI across the socio-demographic strata of India, and second, it demonstrates the regional, rural–urban and gender disparity in FI in India.

Financial inclusion and digital finance go side by side and help enhance agricultural activities; however, the magnitude of digital financial services varies across countries. In line with this argument, this study aims to examine whether financial inclusion enhances agricultural participation and decompose the significance of the difference in determinants of agricultural participation between financially included – not financially included households and digital finance – no digital finance households.

This study uses Pakistan’s household integrated economic survey 2018/19 to test hypotheses. The logit model is used to examine the effect of financial inclusion on agriculture participation. Moreover, this study employs a nonlinear Fairlie Oaxaca Blinder technique to investigate the difference in determinants of agricultural participation.

This study reports that financial inclusion positively influences agricultural participation, meaning households may have access to financial services and participate in agricultural activities. The results suggest that the likelihood of participating in agriculture in households with mobiles and smartphones is higher. Moreover, household size, income, age, gender, education, urban, remittances from abroad, fertilizer, pesticides, wheat, cotton, sugarcane, fruits and vegetables are the significant determinants of agricultural participation. To distinguish the financially included – not financially included households’ gap, this study employs a nonlinear Fairlie Oaxaca Blinder decomposition and finds that differences in fertilizer explain the substantial gap in agricultural participation. Likewise, this study tests the digital finance – no digital finance gap and finds that the difference in fertilizer is a significant contributor, describing a considerable gap in agricultural participation.

Empirically identified that various factors cause agricultural participation including financial inclusion and digital finance. Regarding the research limitation, this study only considers a developing country to analyze the findings. However, for future research, scholars may consider some other countries to compare the results and identify their differences.

The accessibility of fertilizer can reduce the agricultural participation gap. However, increased income level, education and cotton and sugar production can also overcome the differences in agriculture participation between digital finance and no digital finance households.

This is the first study to decompose the difference in determinants of agricultural participation between financially and not financially included households.

This study empirically investigates the difference in employment status between marriage immigrants and native women in Taiwan based on a combined dataset from the 2003 Survey of Foreign and Mainland Spouses’ Life Status and 2003 Women’s Marriage, Fertility and Employment Survey. The conceptual framework is based on the family labor supply model, the human and social capital theories, and the immigrant assimilation theory. From the Probit model of the employment probability, our findings indicate that family background variables, including the presence of small children and husbands’ characteristics, play fairly significant roles in determining the employment probability of marriage immigrants. As for native women, human capital variables such as schooling and age are the most significant factors affecting their employment probability, while husbands’ characteristics play a less important role in this respect. The finding that the employment probability of foreign spouses rises rapidly with the number of years that have elapsed since migration may confirm the employment assimilation for marriage immigrants. This study further applies the nonlinear decomposition analysis developed in the work of Yun (2004) to examine the gap in employment probability between native women and foreign spouses in Taiwan. Our findings show that the employment probability differentials are mostly due to the difference in coefficients and that the effects of the two age variables play dominant roles. The difference in coefficients, in sum, contributes to increasing the gap of employment probability, while the difference in characteristics, in sum, tends to reduce the employment probability differentials.

Older people are often perceived to be a drain on health care resources. This ignores their caring contribution to the health care sector. The purpose of this paper is to address this imbalance and highlight the role of older people as carers.

The study uses a unique data set supplied by a charity. It covers 1,985 caregivers, their characteristics, type and amount of care provided and the characteristics and needs of those cared-for. Binary and ordered logistic regression is used to examine determinates of the supply of care. Fairlie-Oaxaca-Blinder decompositions are used to disentangle the extent to which differences in the supply of care by age are due to observable endowment effects or coefficient effects. Nationally representative British Household Panel Survey data provide contextualization.

Older caregivers are more intensive carers, caring for longer hours, providing more co-residential and personal care. They are therefore more likely to be in greater need of assistance. The decompositions show that their more intensive caring contribution is partly explained by the largely exogenous characteristics and needs of the people they care for.

The data are regional and constrained by the supplier's design.

Older carers make a significant contribution to health care provision. Their allocation of time to caregiving is not a free choice, it is constrained by the needs of those cared-for.

If the burden of care and caring contribution are measured by hours supplied and provision of intimate personal care, then a case is made that older carers experience the greatest burden and contribute the most to the community.

The purpose of this paper is to comparatively analyse the roles of foreign origin and citizenship in the labor markets of Eastern and Eestern Member States of the EU.

The EU Survey of Income and Living Conditions is used to evaluate the roles of foreign origin and citizenship on employment and earnings using the standard Probit and OLS econometric models. The native/non‐native labor market divide is measured using Fairlie and Oaxaca‐Blinder decomposition techniques.

The results indicate that, while predominantly foreign origin is of key importance in the Western EU Member States, both foreign origin and citizenship matter in the Eastern EU Member States, their roles depending on gender. Moreover, the evidence suggests that the effects of citizenship in the EU8 may be driven by the (predominantly ethnic Russian) non‐citizens in Estonia and Latvia.

Further analysis is necessary to evaluate the observed associations as causal relationships.

The study is the first to shed light on the role of foreign origin and citizenship in the EU8 and the EU15 in the comparative East‐West perspective. The findings have noteworthy implications for the targeting of national as well as EU‐wide integration policies.

This study investigates the factors influencing household financial choices in Malawi. The authors also compare how household financial decisions differ in urban and rural areas.

The authors utilize the logit model to examine the factors that influence household financial decisions using the Malawi Integrated Household Survey 2019–20, while Oaxaca–Blinder decomposition is used to estimate the variations in household financial decisions between urban and rural areas.

The authors find that the likelihood of saving increases with income, secondary and tertiary education, and age. The likelihood of saving also decreases with household size and remittances. Additionally, the authors report that marriage reduces the likelihood of loans, whereas sex, age, and income raise the likelihood of loans. According to this study’s findings, income discrepancies between urban and rural samples account for most observed household financial variations. The authors also find that most of the observed variations in household financial decision-making between urban and rural households are reduced when income equality, participation in agriculture, university education, and household size are considered.

Using data from the Malawi Integrated Household Survey 2019–20, this research analyzes the components that affect household financial decisions. While most studies only look at one component of household finances, this study concurrently addresses debt and savings. The study also evaluates whether changes in the variables between urban and rural households impact those households' financing choices.