Youth unemployment has been increasing in Africa. It is particularly pervasive in South Africa, where the youth unemployment rate is persistently high, posing considerable socioeconomic challenges. In response, the government introduced the Employment Tax Incentive (ETI) program in 2014 to boost employment opportunities for youth. This study examines the extent to which the ETI program increases youth employment by looking at hiring and separation rates. The study also examines whether the program displaces non-youth workers—one of the main concerns among unions in South Africa. We take advantage of detailed employee-firm matched panel tax data from the National Treasury and the Revenue Service covering the (2011-2018) period and estimate a Difference-in-Difference model. We find that the program is associated with a 0.003 probability points higher of hiring youth in the 18-24 age bracket. However, we find a significant reduction in both hiring and separation rates for workers in the 24-29 and 30-44 age groups, suggesting some displacement effects not only on at-risk non-youth workers but also youth in the older age bracket. We also find that the overall positive effects of hiring rates of younger workers are driven by microenterprises, typically referred to as mom-and-pop businesses. Overall, the paper uncovers important heterogeneity in the impacts that could inform policymakers to re-configure the program for better targeting.
Malnutrition is one of the most important early life shocks that have lasting effects on health. An often neglected cause of malnutrition and hidden hunger is high food inflation, particularly in developing countries. This study uses the Ethiopian Demographic and Health Survey data, matching each child’s early life age in months from the time of conception with the corresponding local monthly food price data to examine the medium-term and long-term impacts of exposure to food inflation during the critical early life window–pregnancy and infancy–on child health. Exposure to one percentage point higher month-to-month food inflation while in-utero increases the risk of under-five stunting by 0.95 percent. The impacts are heterogeneous depending on the month of exposure, highlighting the complicated biological mechanisms through which malnutrition during early life affects human growth. The results are robust to various empirical specifications and potential biases arising from survivor sample selection and age misreporting.
Despite evolving evidence that Africa is experiencing urbanisation in a different way, empirical evaluations of the welfare implications of urban-development programs in Africa remain scant. We investigate the welfare implications of recent urbanisation processes in Ethiopia using household-level longitudinal data and satellite-based nightlight intensity. We also examine the impact of urban growth on the composition of household consumption and welfare. We employ temporal and spatial variations in nightlight intensity to capture urban expansion and growth. Controlling for time-invariant unobserved heterogeneity across individuals and localities, we find that urbanisation, as measured by nightlight intensity, is associated with significant welfare improvement. We find that tripling existing average nightlight intensity in a village is associated with a 42–46% improvement in household welfare. Urbanisation is also associated with a significant increase in the share of non-food consumption, which is a good measure of overall welfare and poverty. In addition, we find significant heterogeneity in urban expansion across major towns and small towns. Urban expansion in rural areas and small towns appears more impactful than similar expansion in major cities. Finally, quantile regression results suggest that better-off households are likely to benefit more from urban expansion, which may translate into higher inequality across households or communities. Our results can inform public policy debates on the consequences and implications of urban expansion in Africa.
Many African countries heavily rely on imports of agricultural commodities and agricultural inputs from Ukraine and Russia, for example wheat, other grains, and fertilizer. Russia’s invasion of Ukraine has disrupted global access to grains due to reduced production, exports, and increased trade costs. This policy brief investigates the possible long-term consequences of the conflict on food security in Africa. We use a long-run general equilibrium trade model and study three scenarios that may evolve as a consequence of the conflict ending exports of Ukrainian wheat and other cereals for food production, such as corn or sorghum; Russia’s potential ban on exports of grains and fertilizers; and the impact of increased trade costs due to disrupted trade routes in the Black Sea. The model simulations show the conflict will severely compromise food security in Africa. We document important cross-country heterogeneity in the severity of impacts.
We examine the medium- and long-term impacts of exposure to food inflation during the critical window of early life on child health. We use the Ethiopian Demographic and Health Survey data, matching each child’s early life months since conception with the corresponding monthly local food price data. We find that exposure to 10% staples food inflation during the first trimester of the fetus increases the risk of childhood stunting by almost 1.9%. We further find that the impacts are non-linear, reflecting the complicated biological mechanisms through which nutrition affects human growth. There is also considerable heterogeneity in the impacts.
As COVID-19 continues to wreak havoc across the world, researchers are attempting to quantify the economic fallout from the pandemic as it continues to unfold. Estimating the economic impacts of a prevailing pandemic is fraught with uncertainties about the epidemiology of the disease and the breadth of disruption of economic activities. This paper employs historical and near real-time Google search data to estimate the immediate impacts of COVID-19 on demand for selected services across 182 countries. The analysis exploits the temporal and spatial variations in the spread of the virus and finds that demand for services that require face-to-face interaction, such as hotels, restaurants and retail trade, has substantially contracted. In contrast, demand for services that can be performed remotely or provide solutions to the challenges of reduced personal interactions, such as information and communications technology (ICT), and deliveries, has increased significantly. In a span of three months, the pandemic has resulted in a 63 percent reduction in demand for hotels, while increasing demand for ICT by a comparable rate. The impacts appear to be driven by supply contractions, due to social distancing and lockdown measures, and demand shocks as consumers shelter in place, with the latter dominating for most services. The magnitude of the changes in demand varies considerably with government responses to the pandemic.
Africa enjoyed relatively fast economic growth over the past decade and a half. The sustained growth undoubtedly kindled hopes for a prosperous Africa. However, poverty and inequality remained pervasive. In 2013, poverty was still widespread, and the rate was high in Sub-Saharan Africa-41 percent, compared with the world average of just 10.7 percent and the South Asia average of 15 percent. While the intensity of poverty, measured by the poverty gap, declined from 26 percent to 16 percent during the same period, it is still high compared with the world average of 3.2 percent. Moreover, the benefits of growth were not shared widely, and inequality was widespread and persistent. The median Gini coefficient measuring inequality in Africa was 0.36 in 2014, and 7 percent of total income goes to the bottom 20 percent of the income distribution.
Africa has no shortage of labor supply. But it lacks high-productivity job opportunities in high- productivity nonagricultural sectors. Its relatively rapid and sustained economic growth over the past decade did not yield enough jobs for the growing wave of jobs seekers-mainly youth in urban areas. Nonagricultural employment continues to be dominated by the informal sector, where wages are low, benefits nonexistent, workplace safety absent, and labor exploitation common. With significant demographic change expected to bring pressure on African labor markets, the urgency of creating high-quality and remunerative jobs at a much faster pace is not only an economic issue but a political and social one. This report investigates the extent to which failure to remove business constraints hinders actual and potential job growth. In particular, using World Bank Enterprise Survey (ES) panel data, the report quantifies the number of actual jobs lost due to the impact of business obstacles on firm survival and employment growth.
This paper revisits the role of investment in human capital in closing the productivity gap, boosting labor productivity growth, speeding the rate of structural transformation, and ultimately creating high-quality jobs in Africa. Analysis of detailed sector-level historical data on employment, value added, and human capital shows that investment in human capital is significantly and positively associated with the rate at which countries close the labor productivity gap between agriculture and the rest of the economy. Investment in human capital also significantly increases labor productivity within sectors and the speed at which labor is reallocated from low-productivity to high-productivity employment. In line with other research on this topic, the findings from this study underscore that Africa is ready to benefit significantly from improving human capital through investments in education, health care, and nutrition.
Since the dawn of the new millennium, significant stride has been made in terms of reducing under-five mortality. While advances in medicine, such as vaccination, considerably reduced communicable diseases, many countries in African, Latin American and elsewhere in the less-developed world continue to grapple with food price hikes that cause hunger and food shortages. The impacts of such food price hikes during the critical periods of early life-the period between inception and the first 1,000 days after birth-on child survival has not been well understood. Using a uniquely constructed data from Ethiopia that combines the Demographic and Health Survey and high-frequency (monthly) food retail prices over 10 years period, we examine the impacts of in-utero exposure to food price inflation on child survival. Follow survival events since inception, we estimate the causal impacts of exposure to malnutrition during each month of early life. The results show that exposure to 10% increase in month-on-month staple food price inflation during in-utero increases childhood mortality by up to 0.03%. Our analysis also uncovers substantial heterogeneity in the effects of early life malnutrition on child mortality depending on specific month of exposure.
In this paper, we review Dubai’s unique economic transformation model, which has been driven by bold government interventions in globally competitive markets. We highlight diversification strategies and policies that Dubai implemented throughout its transformation. We discuss the respective roles of leadership, governance structure, the public sector, and the business environment and regulations, which were instrumental in rapidly transforming the economy. Finally, with some caveats, we provide some policy lessons for African countries.
Women are disproportionately disadvantaged in access to finance in Africa. While supply-side detriments, such as high interest rates and collateral requirements, are well documented in the literature, little is understood about how demand-side factors contribute to the observed gender gap in access to finance. This paper provides the first empirical evidence on how women managers’ perception about their creditworthiness contributes to the large gender gap in Africa, particularly in the Northern region. One of the innovations of the paper is introducing a theoretical model using the credit market framework with imperfect and asymmetric information to explain what may drive loan applicants to self-select. We use firm-level data for 47 African countries from the World Bank Enterprise Survey. We find that women entrepreneurs in Africa, in general, and in North Africa, in particular, are more likely to self-select themselves out of the credit market due to low perceived creditworthiness compared to their men counterparts. The results also suggest that the observed self-selection behavior is not a response mechanism to current discriminatory lending practices by the banks. The results are robust to different empirical specifications. The findings will inform policies towards greater financial inclusion of women in the region.
This paper investigates informal risk sharing against health shocks in the presence of multiple risk sharing networks. We use a panel household survey data from rural Ethiopia that covers the period 1994–2004. We find that neither short-term nor long-term health shocks are insured through transfers from networks such as friends, neighbors, and members of informal associations. However, networks related along bloodline such as extended family members provide assistance when health shocks are long-term such as disabilities. The results show that these networks strategically complement planned component of their transfers which are made on a regular basis such as remittance, entitlement, or chop money (small cash sums for household expenses). Moreover, we find significant history dependence in transfers from not only genetically distant networks but also extended family members as well as formal institutions, which seems to discourage dependency. Finally, the findings suggest significant heterogeneity in transfers.
Economic growth in Africa has been accelerating for the past two decades. The continent enjoyed sustained economic growth registering an annual average growth of more than 5 percent….
Africa has achieved unprecedented economic growth over the past two decades and is experiencing its longest period of sustained economic growth since the 1960s. The growth rate has not only accelerated, but also spread geographically…
BACKGROUND–Technological advances in colon cancer treatment have significantly increased survival outcomes among metastatic patients. With different chemotherapy and biologic regimens administered in first, second, and subsequent lines of treatments, costs and survival outcomes vary considerably. However, there is little evidence on how the type of regime administered in the first line of treatment affects the costs and survival outcomes of the second line of treatment. OBJECTIVE–To examine how the cost-effectiveness of second-line treatment for elderly metastatic colon cancer patients varies by the type of regimen administered in the first line of treatment. METHODS–The Surveillance, Epidemiology and End Results (SEER) cancer registry was used, which is linked with the Medicare claims database, to study elderly metastatic patients diagnosed between 2003 and 2009. Average survivals are estimated using the robust nonparametric Kaplan-Meier method. Selection bias was adjusted for using inverse probability weighting and censoring using robust nonparametric methods of estimating the average of total health care costs. RESULTS–Mean incremental survival was 6.7 months (95% CI = 5.7-7.7) for patients who received second-line treatment compared with those receiving only first-line treatment. However, the mean incremental survival varied between 4 months (95% CI = 0.0-7.3) and 9 months (95% CI = 6.5-11.0) depending on whether fluorouracil with or without leucovorin, irinotecan, oxaliplatin, or other agents were administered in first-line treatment. The mean incremental cost associated with receipt of second-line treatment was
$60,231 (95% CI = 52,461-64,198) but ranged between
$55,368 (95% CI =
$71,211 (95% CI =
$99,667), depending on the type of regimen administered in the first-line treatment. Combining survival benefits and costs, the incremental cost-effectiveness ratios per life-year gained associated with the receipt of second-line treatment were
$97,368 (95% CI =
$117,965), $110,621 (95% CI =
$130,689 (95% CI =
$247,951 (95% CI =
$808,976) when irinotican, fluorouracil/leucovorin, oxaliplatin, and “other” combinations were, respectively, administered in first-line treatment. In addition, the results varied depending on which statistical method was used. CONCLUSIONS–When therapies are administered in a sequential manner, the cost-effectiveness of the second line of therapy depends on what was administered in the first line of therapy.
In the absence of third party and prepayment systems such as health insurance and tax-based healthcare financing, households in many low-income countries are exposed to the financial risks of paying large medical bills from out-of-pocket. In recent years, community based health insurance schemes have become popular alternatives to fill such void in the healthcare financing systems. This paper investigates the impact of these schemes on out-of-pocket spending based on three rounds of nationally representative data from Rwanda. We estimate an Extended Two-Part Model to address endogeniety in insurance enrollment and censoring in healthcare expenditure data. We find that community based health insurance program has non-linear and mixed impacts on out-of-pocket expenditure. While the program significantly increases the probability of overall spending, it decreases the amount of per capita spending on healthcare. The program also significantly reduces spending on drug but increases outpatient spending with no detectable impact on inpatient services. Furthermore, we find notable heterogeneity in treatment effects in which households in the top income distribution realize the highest reduction in out-of-pocket spending.
In this paper, we implement a Bayesian potential outcomes model to evaluate the impact of program interventions using non-randomized data. The approach jointly addresses selection bias in program placement, heterogeneous treatment intensity among the treated, and heterogeneity in treatment effects. Using data from a non-randomized household survey, we evaluate the impact of Ethiopia’s Health Extension Program on fertility and child mortality outcomes. We find that there is significant selection bias in both program placement and intensity of exposure to the program among the treated. On average, the program has significant impact on reducing fertility and child mortality. However, there is notable heterogeneity in the treatment effects ranging from negative impacts for some individuals to positive impacts for the majority in the sample. We recover individual-level treatment effects and present the distributions graphically.
The Ethiopian economy has witnessed a double-digit rate of inflation since 2003, culminating at 53% in June 2008. Particularly the significant rise in the relative prices of grain and other foodstuff such as sugar, edible oil and other necessities in recent period are very worrisome. Evidently such large changes in both absolute and relative prices in a space of few years can undermine the rebound in per capita incomes in the last decade and the poverty reduction effort of the government. The gravity of the problem has been well understood by policy makers, and efforts are underway to cushion vulnerable households from the consequences of the price surge. The potential role of such interventions can only be known if welfare effects of rising prices are understood. In addition, better measures of the key parameters that drive the demand for grain and other goods is a useful input to the analysis of the causes of relative price changes in Ethiopia.
Ethiopia has launched a pro-poor health services extension programme since 2003 to deliver preventive and basic curative health services to its inhabitants. Despite the massive support and recognition the programme has received, there has not been proper evaluation of its impact. This study has applied propensity score matching and regression adjustment techniques to evaluate the short-term and intermediate-term impacts of the programme on child and maternal health indicators in the programme villages. Empirical data for the study were collected from 3095 households from both programme and non-programme villages in rural Ethiopia. The estimated results indicate that the programme has significantly increased the proportion of children fully and individually vaccinated against tuberculosis, polio, diphtheria-pertussis-tetanus, and measles. The study finds heterogeneity in childhood immunisation coverage as a result of differences in terms of the number of health extension workers, in the quality of health posts and in terms of the educational achievement of mothers across programme villages. The proportions of children and women using insecticide-treated bednets for malaria protection are significantly larger in programme villages than in non-programme villages. The effect on preventive maternal care is rather limited. Whereas women in the programme villages appeared to make their first contact with a skilled health service provider significantly earlier during pregnancy, very little effect is detected on other prenatal and postnatal care services. Moreover, the programme has not reduced the incidence and duration of diarrhoea and cough diseases among under-five children.