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Researchers in economics and other disciplines are often interested in the causal effect of a binary treatment on outcomes. Econometric methods used to estimate such effects are divided into one of two strands depending on whether they require unconfoundedness (i.e., independence of potential outcomes and treatment assignment conditional on a set of observable covariates). When this assumption holds, researchers now have a wide array of estimation techniques from which to choose. However, very little is known about their performance – both in absolute and relative terms – when measurement error is present. In this study, the performance of several estimators that require unconfoundedness, as well as some that do not, are evaluated in a Monte Carlo study. In all cases, the data-generating process is such that unconfoundedness holds with the ‘real’ data. However, measurement error is then introduced. Specifically, three types of measurement error are considered: (i) errors in treatment assignment, (ii) errors in the outcome, and (iii) errors in the vector of covariates. Recommendations for researchers are provided.

It is widely believed that ICT has a significant influence on the daily life of the poor and has positive spillover effects in their livelihoods. Mobile phones are one of the few ICT innovations that have found their way into the hands of the poor residing in remote and rural areas. In Ethiopia, mobile phones are recently introduced but got an acceptance from everyone including the rural poor; in five years’ time, mobile phones subscription has increased from less than 4% to more than 40%. Empirical evidence generally documents the positive role mobile phones play in facilitating the development efforts of poor households. However, using panel data from Ethiopia, the current paper explores a less investigated issue of the possible effects of mobile phone adoption on the credit uptakes of the rural poor who are mostly neglected from the formal credit markets but finance their credit demand from informal sources including relatives/friends.

To investigate the relationship between mobile phones and credit uptake and/or loan size, one can use different empirical strategies. For partly unleashing the endogeneity problem, an instrumental variable estimation approach is adopted in this paper. To deal with the endogeneity problem, one may consider using the linear IV approach or the control function. But the outcome variable and the endogenous variable are binary in nature, and the usual trend is to use the linear IV models or control functions, which do not consider these binary natures of the variables. To this end, a special regressors estimator is adopted, mostly used when both the dependent and the endogenous variables are binary in nature.

The econometric results suggest mobile phones are positively associated with the credit uptake of rural households, especially credit uptake from informal sources. Households with mobile phones are found to have 4%–14% higher probabilities of credit uptake and about 6%–17% in the case of credit from informal sources. Besides, households with mobile phones are found to have about ETB 65 (USD 3.42) higher loan size and about ETB 78 (USD 4.11) higher amount of loan in the case of a loan from the informal sources. Thus, policy-makers and financial providers working on providing credit in rural areas need to exploit the use of mobile phones in reaching out to the rural poor.

The author attests the fact that the work described has not been published previously and that it is not under consideration for publication elsewhere. Besides, it is the original work of the author.

Value‐at‐Risk (VaR) has become a mainstream risk management technique employed by a large proportion of financial institutions. There exists a substantial amount of research dealing with this task, most commonly referred to as VaR backtesting. A new generation of “self‐learning” VaR models (Conditional Autoregressive Value‐at‐Risk or CAViaR) combine backtesting results with ex ante VaR estimates in an ARIMA framework in order to forecast P/L distributions more accurately. In this commentary, the authors present a systematic overview of several classes of applied statistical techniques that can make VaR backtesting more comprehensive and provide valuable insights into the analytical properties of VaR models in various market environments. In addition, they discuss the challenges associated with extending traditional backtesting approaches for VaR horizons longer than one day and propose solutions to this important problem.

The purpose of this paper is to determine the gender differentials in childhood feeding practices, health care utilization and nutritional status of children by birth order and sex composition of previous living children in Northern India.

In this paper, data were drawn from India’s 2006 National Family Health Survey. A variety of different analytic methods were used to look for gender differentials in childhood feeding practices, health care utilization and nutritional status of children. Bi-variate analysis was applied to examine the raw values of gender differentials in childhood feeding, health care and nutritional status of children. Besides, gender differentials at the different birth order and sex composition of previous living children have been measured through multivariate logistic regression analysis.

The raw values of gender differentials in childhood feeding, health care and nutritional status of children, regardless of child’s birth order, mother’s number of living sons and other characteristics of the child or mother, shows that the proportion of children who received any liquid, proportion of children receiving solid/semi-solid food and the proportion of fully immunized children vary by their gender significantly. The results of standardized gender differentials by birth order and sex composition of previous living children in the selected indicators of childhood feeding, immunization and health care and nutritional status of children based on multivariate binary logistic regression show that among children of birth order 3+ (3 and higher), male children were less likely to receive solid/semi-solid foods during 24 hours prior to the survey in families with no living son, but two times were more likely to receive any solid/semi-solid food than female children in families with 1+ living sons (p<0.0001). Male children aged 12-23 months born to mothers with no living son were more likely to be fully immunized than female children, while male children born to mothers with 1+ living sons were less likely to be fully immunized than female children (p<0.05) at birth order 3+. However, the analysis showed no significant gender differentials in the nutritional status of children.

The authors observed a strong association between the extents of gender differentials and birth order of the index child and the sex composition of older living siblings. Strong evidence of sex bias against female children was found in families with no living sons and particularly at higher birth orders 2 and 3+ (3 and higher). Overall, the study demonstrates the need to focus on predominance of intra-household differential rather than inter-household differential.

This paper brings out the gender differentials in childhood feeding practices, health care utilization and nutritional status of children by birth order and sex composition of previous living children in Northern India.

Using the Canadian General Social Survey of 2016, a large nationally representative dataset, the present paper compares different types of flexible work arrangements in their associations with employee wellbeing and organizational outcomes.

The dataset contains 7,446 observations. Informed by the past scholarship, eight outcomes of job satisfaction, work-life balance satisfaction, organizational belonging, job motivation, perceived advancement prospects, perceived job security, workplace social capital, and turnover intentions are investigated.

First, employees with both flextime and flexplace, and only flextime, have a significantly higher job and work-life balance satisfaction. Second, the possibility of working from home without any discretion over timing does not elicit positive wellbeing outcomes. Third, the results show that the combination of flexplace and flextime is synergistic. Fourth, rather unexpectedly, the positive associations of the FWAs with work-life balance satisfaction are stronger among men and women without dependent children. Finally, there are significant positive associations for the combination of flexplace and flextime, and flextime alone, with other outcomes, such as organizational belonging and job motivation, especially among men.

Given the nonrandom assignment of the workers into the FWAs, the results only reflect ceteris paribus correlations.

This is the first Canadian study of flexible work arrangements, using a large nationally representative dataset.

This study aims to estimate the degree and nature of socioeconomic-related inequalities in sexual and reproductive health in Ghana and further assesses causes of these inequalities using decomposition technique. The authors assess the contribution of personal characteristics of the woman including access to health information and health seeking behaviours, household and locational characteristics to inequalities in sexual and reproductive health in Ghana. The study uses data from the three rounds of the Ghana Demographic and Health Survey conducted in 2003, 2008 and 2014.

Two indicators – use of modern contraceptives and intention to use modern contraceptives – are used to measure sexual and reproductive health of sexually active women. A wealth index, based on household ownership of assets, consumer goods and living conditions, is used as a measure of socioeconomic status. The paper estimates a concentration index to the relationship between cumulative health and socioeconomic rank. Paper procedures to apply decomposition techniques to determine the causes of socioeconomic inequalities in health based on a linear health regression model.

The study finds evidence of varying degrees of socioeconomic-related inequalities in sexual and reproductive health indicators. Specifically, the study finds that whilst use of modern contraceptives was concentrated among women in households with high socioeconomic status in 2003 and 2008, modern contraceptive use was prevalent among women in low socioeconomic status households in 2014. Equally, the study finds significant pro-poor inequalities in the intentions to use modern contraceptives in 2003 and 2014. The degree of socioeconomic inequalities in the intentions to use modern contraceptives increased between 2003 and 2014.

There is the lack of evidence on the degree, nature and causes of socioeconomic-related inequalities, which in tend impedes the design and implementation of sexual and reproductive health policies targeted at vulnerable and under-served populations. In addition, there is the need to study inequalities in health over time to monitor progress of health delivery systems towards equitable and universal coverage and understand the evolution of the determinants.

Nonperforming assets in any banking system have stressed the economic health of nations. Resultantly, literature has given considerable impetus to predict failures and bankruptcy. Past studies have focused on the outcome of failures, while, there is a dearth of studies focusing on ongoing firms in bad shape. We plug this gap and attempt to identify underlying communication patterns for firms witnessing prolonged underperformance. Using text mining, we extract and analyze semantic, linguistic, emotional, and sentiment-based features in non-numeric communication channels of these poor-performing firms and their peers. These uncovered patterns highlight the use of vocabulary and tone of communication, in correspondence to their financial well-being. Furthermore, using such patterns, we deploy various Machine Learning algorithms to identify loser firm(s) way ahead in time. We observe promising accuracy over a time window of five years. Such early warning signals can be of critical importance to various stakeholders of a firm. Exploration of writing style-related features for any firm would help its investors, lending agencies to assess the likelihood of future underperformance. Firm management can use them to take suitable precautionary measures and preempt the future possibility of distress. While investors and lenders can be benefitted from this incremental information to identify the likelihood of future failures.

A strong, useful theoretical foundation for performance assessment and prediction relies on four components: preliminary observation of a system, identification of key or dominating variables in the system, synthetic and vertical thinking, and successive refinement.

The purpose of this paper is to assess the trends of socioeconomic-related inequalities in maternal healthcare utilization in Ghana between 2003 and 2014 and examine the causes of inequalities in maternal healthcare utilization in Ghana.

Data are drawn from three rounds of the Ghana Demographic and Health Survey collected in 2003, 2008 and 2014, respectively. The authors employ two alternative measures of socioeconomic inequalities in health – the Wagstaff and Erreygers indices – to examine the trends of socioeconomic inequalities in maternal healthcare utilization. The authors proceed to decompose the causes of inequalities in maternal healthcare by applying a recently developed generalized decomposition technique based on recentered influence function regressions.

The study finds substantial pro-rich inequalities in maternal healthcare utilization in Ghana. The degree of inequalities has been decreasing since 2003. The elimination of user fees for maternal healthcare has contributed to achieving equity and inclusion in utilization. The decomposition analysis reveals significant contributions of individual, household and locational characteristics to inequalities in maternal healthcare. The authors find that educational attainment, urban residence and challenges with physical access to healthcare facilities increase the socioeconomic gap in maternal healthcare utilization.

There is a need to target vulnerable women who are unlikely to utilize maternal healthcare services. In addition to the elimination of user fees, there is a need to reduce inequalities in the distribution and quality of maternal health services to achieve universal coverage in Ghana.

One of the targets of sustainable development goal (SDG) 2030 is to reduce maternal mortality ratio to 70 per 100,000 live births and ensure pregnant women attend at least four antenatal visits. In urban Pakistan, it is expected that more women utilize antenatal care (ANC) because urban areas have more resources, higher education and wealthier people. Despite these facilities, the lack of utilization of antenatal care among pregnant women is abysmal—the latest estimate by Pakistan Demographic and Health Survey (PDHS) places the figure at 63%. Therefore, the paper attempts to identify the factors that affect the utilization of ANC in urban areas by using the PDHS 2017–2018.

The study used cross-tabs to determine the socioeconomic characteristics of women, and used the marginal effects from the probit model to evaluate the significance and relationship between socioeconomic determinants and antenatal visits. Finally, the study used Adam Wagstaff's decomposition analysis to identify the magnitude and main determinants of inequality.

The marginal effects show that socioeconomic variables such as education, province of residence, birth of a first child, age, education and consulting a doctor predicted the probability of 4+ antenatal visits. The decomposition analysis shows that women who consulted a doctor, belonged to non-poor class, were more educated and older contributed significantly to the inequality of antenatal care utilization in urban areas.

The study calls for increasing the number of doctors, promoting education, increasing awareness related to pregnancy complications and reducing wealth inequality. Moreover, the study also calls for increasing global intervention by implementing programs similar to ending preventable maternal mortality (EPPM) to increase antenatal coverage.

The distinctiveness of the study can be found in the fact that no study has been conducted that analyses the inequality related to the usage of ANC in urban areas of Pakistan.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-06-2022-0390