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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.

The purpose of this paper is to examine the determinants of catastrophic household health expenditure in Nigeria, with particular focus on Out-of-Pocket (OOP) health expenditure. Payments for healthcare through OOP are the major means of channeling funds to healthcare providers in many developing countries including Nigeria. It has great consequence on household well-being, especially when it is difficult for household to meet up with spending on other necessity goods.

The demand for health theory provided the theoretical framework. The study used data from 2018/2019 Nigeria Living Standard Survey (NLSS) with catastrophic thresholds of 10 and 25%. A logistic regression model was used, while Pearson chi-squared test was used for models' goodness of fit.

Based on the obtained result using Pearson chi-squared, at 10% threshold of total non-food expenditure, the likelihood of experiencing catastrophic health expenditure increased with secondary education, for those without health insurance and for severely ill or injured by 1.48, 2.57 and 8.70, respectively. It fell for those who consulted patent medicine vendors/chemists for illness or injury by 0.63 compared to orthodox practitioners. Enhancement of post-secondary education and widening the coverage of the available social health insurance would minimise the financial burden on many households.

This paper fulfills the need to examine the determinants of catastrophic household health expenditure on two catastrophic thresholds and two forms of household expenditure.

This study aims to examine the factors associated with household expenditure share on tobacco at different ranges of the expenditure share among Malaysian households.

The analyses were based on pooled cross-sectional data of the Malaysian Household Expenditure Survey. A quantile regression was used to estimate the differentials in the share of monthly household expenditure on tobacco across different socio-economic, demographic and household groups at the 0.1, 0.25, 0.5, 0.75 and 0.9 quantiles of the tobacco expenditure share.

Characteristics of household heads (age, gender, ethnicity, marital status, education level, employment status) and household location were significant factors. Households headed by individuals aged 29 years or less spent a bigger share of their expenditure on tobacco than those headed by individuals older than 59 years. Households with heads who were employed and had primary-level education devoted a greater share of their expenditure for tobacco than households with heads who were unemployed and had tertiary-level education. The corresponding differentials were between 0.2% and 2.3%.

The results identify the target groups based on not only the socio-economic and demographic factors but also the distributional effects of tobacco expenditure share for the design of public policy to reduce the prevalence of smoking-induced illnesses.

This study represents new attempts to use pooled cross-sectional data and a quantile regression to take into account the heterogeneous tobacco expenditure behaviour according to different levels of tobacco spending among Malaysian households.

The objective of this study is to examine the sociodemographic factors that are associated with health care expenditure among households in Malaysia.

This study examines health care participation decision and amount of expenditure using the exponential Type 2 Tobit model. A dataset of a large sample (n = 14,838) that is nationally representative is used.

The results suggest that household size, location of residence as well as age, education and marital status of the household heads are significantly associated with household expenditure on health care. Health care expenditure increases with the age and educational attainment of household heads, whereas those who are being employed and residing in rural areas have lower health care expenditure. Although larger households are more likely to consume health care than smaller households, they spend less on health care. Furthermore, marital status does not affect the participation decision of health care expenditure, but the variable is associated with the decision on the amount of the expenditure.

The results provide insights into groups of population that can be targeted for healthcare intervention programmes and policy design.

This study is the first to our knowledge to use a microeconometric approach to analyse the health care participation as well as its level of expenditure among households in Malaysia.

The study aims to examine the impact of migration on household consumption expenditures in Bangladesh.

The paper uses coarsened exact matching methods to examine the causal impact between migration and household welfare using the dataset on Bangladesh Household Income and Expenditure Survey 2010 on 12,213 households.

The study reveals that migration has a positive impact on household welfare improvement through increases in their consumption expenditures. Households with migration status are found to spend more on food, non-food (housing, durable goods, fuel, cosmetics, cleaning, transport, clothing, taxes, insurance, recreation) items and medical. However, the authors do not find any evidence of impacts on education expenditures.

The availability of panel data and the use of other variables (e.g. household investment expenditures, household budget allocation for agricultural input expenses, etc.) would have been able to provide vivid results.

This paper adds to the Bangladeshi migration literature by offering a novel empirical assessment of the Bangladeshi migrants and its impact on household welfare by drawing upon a recently published, nationally representative sample of Bangladeshi households.

Enhancing household consumption and reducing inequality are among the fundamental goals of many developing countries. The purpose of this study therefore is to disaggregate household consumption expenditure into food and non-food and, thus, decompose inequality into within- and between-groups.

The study adopts generalised entropy (GE) measures. Second, the study uses regression-based inequality decomposition to ascertain the determinants of inequality in food and non-food expenditure using household demographic and socioeconomic characteristics as covariates.

The results show that non-food expenditure is the major source of inequality in household consumption expenditure in both urban and rural areas with inequality coefficients of above 0.6 compared to about 0.4 for food expenditure. The decompositions also show that within-group inequalities for non-food and food expenditure are, respectively, 0.97 and 0.365 using the Theil index, while between-group inequalities for non-food and food are, respectively, 0.016 and 0.035. Furthermore, the regression-based inequality decompositions show that variables such as living in rural areas, household size, household dwelling and household dwelling characteristics account for the significant proportion of inequality in food and non-food expenditure.

The policy implication of the findings, among others, is that policies should focus on addressing inequality within rural and urban areas, especially with respect to non-food expenditure than in inequality existing between urban and rural areas. These non-food expenditures include expenditure in education, health, energy, accommodation, water and sanitation.

The purpose of this paper is to examine the determinants of health expenditure at the household level in Nigeria with specific focus on the household and individual unique characteristics. It presents some stylised facts about the Nigerian health system and its financing options. It went further to show that household is the major financial organ of healthcare in Nigeria. The study aims to expand the domain of household health expenditure by analysing at national, urban and rural levels.

It adopted Engel curve approach, which was estimated using ordinary least squares technique. The model was structured to take care of life-cycle implications by examining effects of age in years and age groups (0-9, 10-19, 20-39, 40-59 and 60+) on healthcare spending. Data were drawn from the 2010 Harmonised Nigeria Living Standards Survey (HNLSS) conducted by the National Bureau of Statistics and analyses were conducted nationally, for urban and rural locations.

The result shows that individual characteristics like age, religion, education and household characteristics like income, size and headship commonly influence healthcare expenditure in Nigeria significantly. The household-level variables possess stronger significant effects among the rural households while marital status and employment had differential effects in both urban and rural locations. It also confirmed that Nigeria engages in intergenerational transfer of healthcare by the working population to the young and older generations.

HNLSS was only limited to those who were sick or injured in the last two weeks preceding the survey, leaving out those whose sickness preceded the two weeks before the survey. Also, the scope of health expenditure is limited to curative care spending that exclude expenses on preventive care, rehabilitative care as well as other cost-saving services.

This paper fulfils an identified need to examine the determinants of household health expenditure at the national, urban and rural locations.

The purpose of this paper is to use data from the 2007 Agricultural Resource Management Survey to assess the inequality in the distribution of farm family living expenditures. The impact on inequality of marginal increases in expenditure components with respect to aggregate expenditures is also addressed in the context of the life cycle and under various “equity” weights that reflect the extent to which society is averse to inequality.

Inequality in the distribution of households' equivalent‐scale total expenditures E and of their K components is measured using the concept of the extended Gini coefficient (G_E).

Results show an unequal distribution of total expenditures, with “food including food away from home” and “clothing, personal care products, etc.” as the two expenditure items that are most suitable for either a subsidy or a tax‐hike. No discernable statistical difference is found when the elasticities of expenditures were estimated across two distinct age‐groups and across various levels of “equity” weights.

Research is based on cross‐sectional data and does not allow for dynamic assessment of expenditure elasticities.

The paper describes the use of an innovative non‐parametric method to estimate expenditure elasticities among farm households.

Using data from the sixth round of the Ghana Living Standards Survey, this paper aims to take a critical look at issues relating to the demand for education in Ghana.

In doing this, the paper develops a model for the determinants of household’s educational expenditure using the full sample of data and an income-quintile disaggregated model of the determinants of household’s educational expenditures. The study adopts robust empirical estimation techniques to estimate the model.

The paper finds that household resources importantly influence children’s educational expenditures with wealthier households spending proportionately more in educating their children than poorer households; large-sized households spend more in terms of educational expenses than small-sized households reflecting largely the quantity of education purchased, given that quality and contextual factors matters for educational investments. Strikingly, the findings show that female headship is a significant positive predictor of households’ demand for education. These findings provide valuable policy options relating to the goal of ensuring inclusive and quality education for all and promoting a lifelong learning by 2030.

While literature on the determinants of households’ educational expenditures abound, very few of this literature focuses on sub-Saharan Africa. Consequently, this study makes an important contribution to the literature by providing evidence on the determinants of households’ educational expenditure in the context of sub-Saharan Africa.