Person:
Gaddis, Isis
Author Name Variants
Fields of Specialization
Poverty and inequality,
Gender,
Labor economics,
Public service delivery
Degrees
Departments
Gender Cross Cutting Solution Area, The World Bank
Externally Hosted Work
Contact Information
Last updated
January 31, 2023
Biography
Isis Gaddis is an Economist with the World Bank's Gender Group in Washington DC. She previously served as poverty economist for Tanzania and was based in Dar es Salaam. Her main research interest is in empirical micro-economics, with a particular focus on the measurement and analysis of poverty and inequality, gender, labor economics and public service delivery. Before joining the World Bank she consulted for several international development agencies, including the German Agency for International Cooperation (GIZ), the UK Department for International Development (DFID) and UNICEF. She holds a Ph.D. in Economics from the University of Göttingen, where she was a member of the development economics research group from 2006 to 2012.
Publication Search Results
1 - 10 of 23
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Publication
The Gendered Labor Market Impacts of Trade Liberalization : Evidence from Brazil
(World Bank Group, Washington, DC, 2014-11)This paper investigates gender differences in the impact of Brazil's trade liberalization on labor market outcomes. To identify the causal effect of trade reforms, the paper uses difference-in-difference estimation exploiting variation across microregions in pre-liberalization industry composition. The analysis finds that trade liberalization reduced male and female labor force participation and employment rates, but the effects on men were significantly larger. Thereby, tariff reductions contributed to gender convergence in labor force participation and employment rates. Gender differences are concentrated among the low-skilled population and in the tradable sector, where male and female workers are most likely to be imperfect substitutes. -
Publication
Poverty in a Rising Africa
(Washington, DC: World Bank, 2016-03)Perceptions of Africa have changed dramatically. Viewed as a continent of wars, famines and entrenched poverty in the late 1990s, there is now a focus on “Africa rising” and an “African 21st century.” Two decades of unprecedented economic growth in Africa should have brought substantial improvements in well-being. Whether or not they did, remains unclear given the poor quality of the data, the nature of the growth process (especially the role of natural resources), conflicts that affect part of the region, and high population growth. Poverty in a Rising Africa documents the data challenges and systematically reviews the evidence on poverty from monetary and nonmonetary perspectives, as well as a focus on dimensions of inequality. Chapter 1 maps out the availability and quality of the data needed to track monetary poverty, reflects on the governance and political processes that underpin the current situation with respect to data production, and describes some approaches to addressing the data gaps. Chapter 2 evaluates the robustness of the estimates of poverty in Africa. It concludes that poverty reduction in Africa may be slightly greater than traditional estimates suggest, although even the most optimistic estimates of poverty reduction imply that more people lived in poverty in 2012 than in 1990. A broad-stroke profile of poverty and trends in poverty in the region is presented. Chapter 3 broadens the view of poverty by considering nonmonetary dimensions of well-being, such as education, health, and freedom, using Sen's (1985) capabilities and functioning approach. While progress has been made in a number of these areas, levels remain stubbornly low. Chapter 4 reviews the evidence on inequality in Africa. It looks not only at patterns of monetary inequality in Africa but also other dimensions, including inequality of opportunity, intergenerational mobility in occupation and education, and extreme wealth in Africa. -
Publication
Preparing the Next Generation in Tanzania: Challenges and Opportunities in Education
(Washington, DC: World Bank, 2015-06-09)Human capital refers to a broad range of knowledge, skills, and capabilities that are needed for life and work and that are typically build through quality education. Countries that fail to invest consistently in education often do not experience robust economic growth because investments in physical infrastructure, such as dams, roads, and airports as well as developments in other economic sectors such as banking or information technology, are often constrained and yield low returns in the absence of an adequately educated work force. Human capital development is critical for setting Tanzania on a trajectory toward middle income status, a target it wants to reach by the year 2025. It is projected that a significant share of Tanzania’s economic growth over the coming decades will be concentrated in occupations that require citizens with postsecondary training and skills, as is already the case in middle-income countries. Hence the pressure and the challenge to close systemic gaps and inefficiencies that hamper the education system in the country. -
Publication
Prices for Poverty Analysis in Africa
(World Bank, Washington, DC, 2016-04)Measuring poverty requires adjusting nominal consumption (or income) into a real value of consumption, across geographic areas and over time. To this end, data on consumer prices are used to construct a price index. There are a range of approaches to do this, from using the consumer price index, to survey-based unit values, which differ in the underlying sources of price data and methodologies for indexing. These different approaches can have large impacts on poverty measures and trends. Surprisingly little attention has been focused on this topic. This study reviews a range of issues and the evidence on how prices matter for measuring poverty, particularly in Africa. It draws on a wide literature, much from developed countries, and offers suggestions for future work in this area. -
Publication
The Labor Productivity Gap between Formal Businesses Run by Women and Men
(Taylor and Francis, 2020-09-20)This study analyzes gender differences in labor productivity in the formal private sector, using data from 126 mostly developing economies. The results reveal a sizable unconditional gap, with labor productivity being approximately 11 percent lower among women- than men-managed firms. The analyses are based on women’s management, which is more strongly associated with labor productivity than women’s participation in ownership, which has been the focus of most previous studies. Decomposition techniques reveal several factors that contribute to lower labor productivity of women-managed firms relative to firms managed by men: Fewer women-managed firms protect themselves from crime and power outages, have their own websites, and are (co-)owned by foreigners. In addition, in the manufacturing sector, women-managed firms are less capitalized and have lower labor costs than firms managed by men. -
Publication
The Labor Productivity Gap between Female and Male-Managed Firms in the Formal Private Sector
(World Bank, Washington, DC, 2018-05)This study analyzes gender differences in labor productivity in the formal private sector, using data from 128 mostly developing economies. The results reveal a sizable unconditional gap, with labor productivity being approximately 11 percent lower among female- than male-managed firms. The analyses are based on female management, which is more strongly associated with labor productivity than female participation in ownership, which has been the focus of most previous studies. Decomposition techniques reveal several factors that contribute to lower labor productivity of female-managed firms relative to male-managed firms: fewer female- than male-managed firms protect themselves from crime and power outages, have their own websites, and are (co-) owned by foreigners. In addition, in the manufacturing sector, female-managed firms are less capitalized and have lower labor cost than male-managed firms. -
Publication
Women's Legal Rights and Gender Gaps in Property Ownership in Developing Countries
(World Bank, Washington, DC, 2020-10)Women's property ownership matters for their well-being and agency; it can also advance economic prosperity and promote the human development of future generations. Yet, until recently, lack of data has constrained researchers from gaining a comprehensive overview of gender differences in property ownership in the developing world. Using Demographic and Health Survey data from 41 developing countries, this paper seeks to fill this gap, by investigating the extent of gender gaps in the incidence of property ownership (land and housing) and the factors associated with these gaps, focusing on the role of legal systems. The study finds that there is substantial variation in gender gaps across countries, but in almost all countries men are more likely to own property than women. Within countries, gender gaps are most pronounced for groups that are already disadvantaged, that is, the rural population and the poorest quintile. The disadvantage in property ownership experienced by women reflects a variety of factors, including discriminatory norms and laws on inheritance, property ownership, marital regimes, and protection from workplace discrimination. Countries with more gender egalitarian legal regimes generally have higher levels of property ownership by women, especially housing. These results suggest that reforms to establish a more gender-equitable legislative framework could be an important mechanism to increase women's property ownership. -
Publication
Measuring Farm Labor: Survey Experimental Evidence from Ghana
(World Bank, Washington, DC, 2019-01)This study examines recall bias in farm labor by conducting a randomized survey experiment in Ghana. Hours of farm labor obtained from a recall survey conducted at the end of the season are compared with data collected weekly throughout the season. The study finds that the recall method overestimates farm labor per person per plot by about 10 percent, controlling for observable differences at baseline. Recall bias in farm labor per person per plot is accounted for by the fact that households in the recall group report fewer marginal plots and farm workers, denoted here as listing bias. This listing bias also creates a countervailing effect on hours of farm labor at higher levels of aggregation, so that the recall method underestimates farm labor per plot and per household and overestimates the labor productivity of household-operated farms. Consistent with the notion that recall bias is linked to the cognitive burden of reporting on past events, the study finds that recall bias in farm labor has a strong educational gradient. -
Publication
How Did the COVID-19 Crisis Affect Different Types of Workers in the Developing World?
(World Bank, Washington, DC, 2021-07)This paper investigates the impacts of the economic shock caused by the COVID-19 pandemic on the employment of different types of workers in developing countries. Employment outcomes are taken from a set of high-frequency phone surveys conducted by the World Bank and National Statistics Offices in 40 countries. Larger shares of female, young, less educated, and urban workers stopped working. Gender gaps in work stoppage were particularly pronounced and stemmed mainly from differences within sectors rather than differential employment patterns across sectors. Differences in work stoppage between urban and rural workers were markedly smaller than those across gender, age, and education groups. Preliminary results from 10 countries suggest that following the initial shock at the start of the pandemic, employment rates partially recovered between April and August, with greater gains for those groups that had borne the brunt of the early jobs losses. Although the high-frequency phone surveys greatly over-represent household heads and therefore overestimate employment rates, case studies in five countries suggest that they provide a reasonably accurate measure of disparities in employment levels by gender, education, and urban or rural location following the onset of the crisis, although they perform less well in capturing disparities between age groups. These results shed new light on the labor market consequences of the COVID-19 crisis in developing countries, and suggest that real-time phone surveys, despite their lack of representativeness, are a valuable source of information to measure differential employment impacts across groups during a crisis. -
Publication
Who Is Employed? Evidence from Sub-Saharan Africa on Redefining Employment
(World Bank, Washington, DC, 2020-08)The 19th International Conference of Labour Statisticians (in 2013) redefined labor statistics standards. A major change was to narrow the definition of employment to work for pay or profit. By the revised standards, farming that is only or mainly intended for own use is no longer considered employment, and such a farmer is no longer considered to be employed or in the labor force. This paper analyzes the implications of the revised standards on measures of employment in Sub-Saharan Africa obtained from multi-topic household surveys. It shows that, in some contexts, 70 to 80 percent of farmers produce only or mainly for family consumption and are therefore, based on this activity, not considered employed by the revised standards. However, there is wide variation across countries and regions. Moreover, farmers are more likely to report intending to produce for sale at the end of the growing season of the main local crop than earlier in the season. Men are more likely than women to produce for sale. The revised standards lead to significantly lower employment-to-population ratios in rural Africa and change the sectoral composition of the employed population toward non-agricultural sectors. The paper concludes with recommendations for data producers and users.