Women Seeking Jobs with Limited Information: Evidence from Iraq

Do women apply more for jobs when they know the hiring probability of female job seekers directly from employers? I implemented a randomized control trial and a double-incentivized resume rating to elicit the preferences of employers and job seekers for candidates and vacancies in Iraq. The treatment reveals the job offer rate for women, calculated using the employers’ selection of women divided by the total number of female candidates. After revealing the treatment, the women applied for jobs by three more percentage points than the men in the control group. This paper highlights the value of revealing employers’ preferences to improve the match between female candidates and employers when women underestimate the chances of finding a job.

The Missing Economic Diversity of the Colombian Amazon

Alarming rates of forest loss in the Colombian Amazon have created a perceived trade-off that the only means of achieving economic prosperity is by sacrificing the forest. This study finds little evidence of this trade-off; rather, we find that economic development and forest protection are not an either-or choice. Forest clearing is driven by extensive cattle-ranching as a means to secure land titles. In essence, the loss of some of the world’s richest biodiversity is the result of some of the least economically complex activities that fail to achieve economic prosperity in the region. If anything, the acceleration in deforestation has accompanied a period of economic stagnation.

The existing economic model in the Amazon – centered on agrarian colonization and mineral extraction – has not generated prosperity for the people, all while failing the forest. The exceptional diversity of the Amazon’s biome is not reflected in the region’s economy. The Amazonian economy is best characterized by its low diversity and low complexity. A significant proportion of employment is linked to public administration – more than in other departments of the country. Very little of the production in the departments is destined to be consumed outside the departments (“exported”).

This study seeks to define an alternative economic model for the Colombian Amazon from the perspective of economic complexity with environmental sustainability. Economic complexity research finds that the productive potential of places depends not only on the soil or natural resources, but on the productive capabilities—or knowhow—held by its people. This research finds that the Colombian Amazon will not become rich by adding value to its raw materials or by specializing in one economic activity. Rather, economic development is best described as a process of expanding the set of capabilities present to be able to produce a more diverse set of goods, of increasingly greater complexity. This model starts from the base of understanding the existing productive capabilities in Caquetá, Guaviare, and Putumayo, to identify high-potential economic sectors that build off those capabilities to achieve new, sustainable pathways to shared prosperity.

Achieving shared prosperity in the Amazon depends on the connectivity and opportunity in its urban areas. The primary drivers of greater economic complexity – and prosperity – are the cities in the Amazon. Even in the remote areas of the Amazon, the majority of people in Caquetá, Guaviare, and Putumayo live in urban areas. The low prosperity in the Colombian Amazon is driven by the lack of prosperous cities. The report finds that Amazonian cities are affected by the lack of connectivity to major Colombian cities that limit their ability to ‘export’ things outside the department to then expand the capacity to ‘import’ the things that are not produced locally as a means to improve well-being.

Pretending to be the Law: Violence to Reduce the COVID-19 Outbreak

Did the COVID-19 pandemic create an opportunity to earn population control through illegal violence? We argue that criminal groups in Colombia portray as de facto police by using mass killings to reduce the COVID-19 outbreak. They used massacres as a threat to enforce social distance measures in places they considered worth decreasing mobility. Our results from an Augmented Synthetic Control Method model estimated that commuting to parks fell 20% more in areas with massacres than in places without mass killings. In addition, we do not find a decline in mobility to workplaces and COVID-19 deaths after the first mass killing. These findings are congruent with the hypothesis that illegal armed groups used fear to enforce mobility restrictions without hurting economic activities and their sources of revenue. However, violence slightly impacted the virus’ spread. Treated areas had a decline of 35 cases per 100,000 inhabitants four months after the first massacre.

Food for Growth: A Diagnostics of Namibia’s Agriculture Sector

This growth diagnostic report analyzes the economic constraints that explain the underperformance of the agriculture sector in Namibia. Section 1 starts by showing why Namibia’s agricultural challenge is unique when compared to the rest of the world. We then describe the sector’s key features, recent trajectory, and growth potential across different relevant dimensions in Section 2. In Section 3, we provide an adaptation of the growth diagnostic framework to the case of agriculture in Namibia and a detailed analysis of its economic constraints. Finally, Section 4 presents policy guidelines for addressing the challenges described in this report and prioritizing policy interventions accordingly.

Gravity with History: On Incumbency Effects in International Trade

We introduce incumbency effects into a tractable dynamic model of international trade. The framework nests the canonical Melitz (2003)-Chaney (2008) model as a special case. The key novelty is that fixed costs of market access decrease with tenure. As a consequence, there is less market exit and entry in response to a shock. We derive a gravity equation and show that, ceteris paribus, countries that liberalized their trade relationship earlier trade more today. We provide supporting evidence for the underlying mechanism and derive an augmented ACR formula (Arkolakis et al., 2012) for the gains from trade that accounts for incumbency effects. A quantitative analysis suggests that our mechanism can explain up to 25% of countries’ home shares and that the gains from trade are, on average, 10% larger when accounting for incumbency effects. The analysis further reveals novel distributional effects of trade that benefit real wages but reduce profits.

Growth Diagnostics and Competitiveness Study of the Manufacturing Sector in Tanzania

Tanzania’s manufacturing puzzles (and frustrations) seem to be a natural outcome of their policy choice. The Tanzanian economy experienced a significant acceleration over two decades, growing at a compounded annual growth rate of 6% between 1998 and 2018: Largest rates were recorded and sustained by the super commodity cycle (2005-2014). Within that growth trajectory, manufacturing’s share of gross domestic product (GDP) has lingered for 30 years below 10% – well below the 23% target established for 2025 in Tanzania’s Industrial Development Strategy (2011). As stressed by Diao et al (2021), the bulk of manufacturing value added is created by a few capital-intensive firms, whereas informal manufacturing has increased employment but without significant improvements in productivity/wages. Manufacturing exports surged in 2011 and remained steady since driven by subsector basic metals (gold & unrefined copper). If these are excluded, the curve mirrors the commodity price boom (likely a price boom rather than a volume boom). Looking only at exports conceals the fact that the bulk of the manufacturing output in Tanzania is sold in the domestic market rather than exported: exports are equivalent to less than 2% of GDP; domestic sales are seven times higher. While Food and Beverages make up for the largest share of manufacturing value employment and value-added, basic metals are the ones accounting for the vast majority of Tanzania’s exports.

The most binding constraint to investments in manufacturing in Tanzania is the availability and quality of electricity supply: Access to electricity is the lowest among peers, with large disparities between rural (22%) and urban (70%). Electrical outages are frequent and expensive for the manufacturing sector; firms even plan their production schedules and decide on plant locations based on power reliability. And yet, when we analyze the share of value-added against energy intensity at the sub-sector level, the negative relationship to be expected if electricity is indeed the constraint is there, but too fragile and noisy. Why? The strongest evidence points to the role of trade protection in compensating firms for other constraints, allowing existing manufacturers to capture large shares of domestic value-added while remaining uncompetitive in export markets. Large manufacturing subsectors of moderate to high energy intensity and more capital intensive enjoy higher tariff protection, creating a wedge that allows these industries to thrive in the domestic market. Despite joining numerous free trade agreements, Tanzania remains one of the most restrictive countries from a trade standpoint, eased by filing exceptions that shield individual products and entire domestic industries from competition. We have also found that effective taxation in Tanzania is relatively higher on labor (lower on capital, materialized through massive tax holidays granted within SEZ), skewing returns away from the country’s relative labor abundance. Failure to address the binding constraints creates a rationale for upholding protection, which reinforces biases towards capital and energy-intensive sectors. These policies go a long way in explaining the Tanzanian manufacturing puzzle.

Eight Decades of Changes in Occupational Tasks, Computerization and the Gender Pay Gap

We build a new longitudinal dataset of job tasks and technologies by transforming the U.S. Dictionary of Occupational Titles (DOT, 1939 -1991) and four books documenting occupational use of tools and technologies in the 1940s, into a database akin to, and comparable with its digital successor, the O*NET (1998 -today). After creating a single occupational classification stretching between 1939 and 2019, we connect all DOT waves and the decennial O*NET databases into a single dataset, and we connect these with the U.S. Decennial Census data at the level of 585 occupational groups. We use the new dataset to study how technology changed the gender pay gap in the United States since the 1940s. We find that computerization had two counteracting effects on the pay gap -it simultaneously reduced it by attracting more women into better-paying occupations, and increased it through higher returns to computer use among men. The first effect closed the pay gap by 3.3 pp, but the second increased it by 5.8 pp, leading to a net widening of the pay gap.

The Impact of a Rise in Expected Income on Child Labor: Evidence from Coca Production in Colombia

Can households’ beliefs about future income shocks affect child labor? This paper examines whether the three-year gap between the announcement (in 2014) and the start (in 2017) of the Illicit Crop Substitution Program (ICSP) increased child labor in Colombia. The ICSP provides farmers with financial support for not planting and harvesting coca leaves – the key input of cocaine. My results from a difference-in-differences model using differences in historical coca production show that due to the ICSP announcement, children became four percentage points more likely to work in municipalities with historical coca production than in non–coca-growing areas. Although the likelihood of working increased in coca–growing areas, the hours worked per child declined modestly after the ICSP announcement. The expansion of the children working in coca fields but the decline in working hours per child produce null effects of the announcement on education outcomes. The rise in the expected income affects the time allocation decision within households in rural areas.

What is South Africa’s Crop Production Potential?

Combining satellite data with FAO potential yields we provide a new measure of South Africa’s current and potential crop farming output. We find that field crop production is twice its census estimate, contributing 1.4% of GDP rather than 0.7%, and that achieving potential could increase its contribution a further 0.5% of GDP. Estimating horticulture potential is more difficult. We ﬁnd that its 0.7% contribution to GDP is massively unreported, with actual production at 2.5%. Reaching potential could increase this number a further 0.5%. The distance from current to potential output represents over 100 billion 2017 rand of additional gross income and about 350.000 thousand jobs and is unevenly distributed across the country and concentrated in four provinces: Free State, Western Cape, Kwazulu-Natal and Eastern Cape. Our result suggests that there is room to expand agriculture, but because the potential gains are geographically concentrated, the solutions should have a strong location dimension.

Scaling Partnerships to Activate Idle Community Land in South Africa

We discuss three cases of corporate-smallholder partnerships in South Africa’s former homelands, which have tried to bridge the problem of low productivity by supplying technology, technical assistance and financing along with established channels for sales and distribution. The cases are indicative of some key difficulties faced by such ventures: building trust, finding a suitable partner, successfully transferring technological to small farms, and reducing risk, particularly climate related. In order for these types of partnerships to help close the gap between South Africa’s two agricultures, solutions to these problems must be provided at greater scale. We explore mechanisms to achieve that scale, drawing lessons from South Africa’s successful franchising sector, as well as newly emerging business models and technologies from abroad.