Children's experiences during early childhood are critical for their cognitive and socioemotional development, two key dimensions of human capital. However, children from low-income backgrounds often grow up lacking stimulation and basic investments, which leads to developmental deficits that are difficult, if not impossible, to reverse later in life without intervention. The existence of these deficits is a key driver of inequality and contributes to the intergenerational transmission of poverty. In this article, we discuss the framework used in economics to model parental investments and early childhood development and use it as an organizing tool to review some of the empirical evidence on early childhood research. We then present results from various important early childhoods interventions, with an emphasis on developing countries. Bringing these elements together, we draw conclusions on what we have learned and provide some directions for future research.
Early childhood development is becoming the focus of policy worldwide. However, the evidence on the effectiveness of scalable models is scant, particularly when it comes to infants in developing countries. In this paper, we describe and evaluate with a cluster-Randomized Controlled Trial an intervention designed to improve the quality of child stimulation within the context of an existing parenting program in Colombia, known as FAMI. The intervention improved children’s development by 0.16 of a standard deviation (SD) and children’s nutritional status, as reflected in a reduction of 5.8 percentage points of children whose height-for-age is below -1 SD.
This article examines the role that implementation science can play in evidence-based parenting programs. Although parenting programs can support parents in their caregiving roles, adapting and taking an evidence-based approach from one place to another without attending to implementation factors may contribute to poor impact in a new setting. Implementation science enables researchers to move beyond monitoring and evaluation of outcomes of a parenting program to understanding the process of putting the program into practice. Factors such as whether the program meets the needs of families and communities, how to secure buy-in from key stakeholders, what training and supervision are needed for the workforce, and ways that parenting programs can be integrated in existing infrastructure are all critical to successful implementation. Quality improvement can be built into the implementation process through feedback loops that inform rapid changes and testing cycles over time as a program is implemented. If researchers lead initial implementation of parenting programs, they must determine how the program can continue to work when using community workers and local systems rather than researchers. Open access components are especially important for the implementation of parenting programs in low- and middle-income countries to avoid prohibitive costs of proprietary programs and to benefit from flexibility in adapting components to meet the needs of particular local populations. Parenting programs benefit when policy makers, program leaders, and researchers attend not only to the what but also to the how of implementation.
We deliver one month's average profit to a randomly selected group of female microenterprise owners in Dandora, Kenya, arriving just in advance of an exponential growth in COVID-19 cases. Relative to a control group, firms recoup about one third of their initial decline in profit, and food expenditures increase. Control profit responds to economic conditions and government announcements during our study period, and treatment effects are largest when control profit is at its lowest. PPE spending and precautionary management practices increase to mitigate the health risks of more intensive firm operation, but only among those who perceive COVID-19 as a major risk.
We construct an endogenous growth model with random interactions where firms are subject to distortions. The TFP distribution evolves endogenously as firms seek to upgrade their technology over time either by innovating or by imitating other firms. We use the model to quantify the effects of misallocation on TFP growth in emerging economies. We structurally estimate the stationary state of the dynamic model targeting moments of the empirical distribution of R&D and TFP growth in China during the period 2007–2012. The estimated model fits the Chinese data well. We compare the estimates with those obtained using data for Taiwan and perform counterfactuals to study the effect of alternative policies. R&D misallocation has a large effect on TFP growth.
Hasan Mahmud Reza and colleagues argue that access to vaccines enabled by predictable supply of vaccine doses and delivery to remote areas are critical for vaccine uptake in low and middle income countries.
We start by considering the implications of unequal parenting for children’s outcomes later in life. The literature on child development has established that the development process is cumulative and that early achievements foster additional learning later on. To highlight this issue, we document how parenting decisions and the family environment correlate with long-run outcomes such as graduating from college. In our analysis, we touch upon a dimension that is less salient in the two chapters: parenting style. We show that parenting style is not a mere by-product of families’ socio-economic status. Rather, it is associated with children’s outcomes in a way that is distinct from the influence of socio-economic factors such as parents’ education and race. We also argue that the choice of parenting styles is responsive to changes in the environment where children grow up. We show that parenting styles vary systematically across countries with different policies and institutions. This evidence suggests that understanding how parents adjust their behaviour to policy changes is important for drawing useful policy implications. These insights could be especially important for policies aiming to alleviate inequality in early childhood outcomes as parents’ endogenous responses could potentially either magnify or dampen the direct effect of policy interventions.
The recent economic history of global integration has been characterized by a dismantling of capital controls and increased foreign direct investment (FDI). This paper explores the role of impediments to international capital mobility, foreign direct investment, and technology diffusion in shaping Latin American economic growth. First, the paper summarizes and quantifies the effects of the Bretton Woods international financial system in Latin America. Then, I study the consequences of capital controls—and their dismantling—on FDI and trade-induced technological advancements and their role in shaping local development, especially in the 1990s after the implementation of several trade liberalization policies.
Financial, informational and other constraints lower the adoption of welfare-improving technologies amongst people living in poverty. Field trials have identified effective strategies to facilitate behaviour change. Researchers and policymakers need to apply this knowledge, and form institutional partnerships to implement solutions at scale.
Many school districts with centralized school choice adopt strategy-proof assignment mechanisms to relieve applicants from needing to strategize based on beliefs about their own admissions chances. This article shows that beliefs about admissions chances shape choice outcomes even when the assignment mechanism is strategy-proof by influencing how applicants search for schools and that “smart matching platforms” that provide live feedback on admissions chances help applicants search more effectively. Motivated by a model in which applicants engage in costly search for schools and overoptimism can lead to undersearch, we use data from a large-scale survey of choice participants in Chile to show that learning about schools is hard, beliefs about admissions chances guide the decision to stop searching, and applicants systematically underestimate nonplacement risk. We use RCT and RD research designs to evaluate scaled live feedback policies in the Chilean and New Haven choice systems. Twenty-two percent of applicants submitting applications where risks of nonplacement are high respond to warnings by adding schools to their lists, reducing nonplacement risk by 58% and increasing test score value added at the schools where they enroll by 0.10 standard deviations. Reducing the burden of school choice requires not just strategy-proofness inside the centralized system but also choice supports for the strategic decisions that inevitably remain outside of it.
This paper studies the effects of the COVID-19 pandemic on small businesses between March and November 2020 using new survey data on 35,000 small businesses in eight Latin American countries. We document that the pandemic had large negative impacts on employment and beliefs regarding the future, which in turn predict meaningful economic outcomes in the medium-term. Despite the unprecedented amount of aid, policies had limited impact for small and informal firms. These firms were less aware of programs, applied less, and received less assistance. This may have lasting consequences, as businesses that received aid reported better outcomes and expectations about the future.
This chapter reviews a recent body of theoretical and empirical work that studies the normative and positive aspects of trade policy. We start by presenting reduced-form evidence of the effects of trade policy in the presence of supply-chain linkages, on the short-run and persistent effects of trade policy across local labor markets, and on the effects of trade policy uncertainty on employment and firms. We describe the shift-share method for trade policy analysis, discuss the interpretation of the estimated effects, and provide a theoretical foundation. We then describe new quantitative frameworks, methods, and data used to study the aggregate and distributional effects of trade policy in general equilibrium. We discuss how to take into account supply-chain linkages, local labor markets, and different sources of dynamics. As an illustration, we quantify the aggregate and distributional effects of the 2018 trade war between the United States and its trading partners. Finally, we present recent theoretical insights on optimal unilateral trade policy with firm and product heterogeneity in the context of large and small open economies with perfectly and imperfectly competitive product markets. We also discuss how optimal trade policy is shaped by the presence of multiple sectors, intermediate goods, and supply-chain linkages. We close the chapter by discussing the scope of future research.
We show that labor market transaction costs explain why the smallest farms are more efficient than slightly larger farms in most low-income countries and that increases in machine capacity with operational scale result in the globally observed rising upper tail of productivity. We find evidence consistent with these mechanisms using Indian data, and we show that if all Indian farms were at the minimum scale required to maximize the return on land, the number of farms would be reduced by 82% and income per farm worker would rise by 68%.
We show that labor market transaction costs explain why the smallest farms are more efficient than slightly larger farms in most low-income countries and that increases in machine capacity with operational scale result in the globally observed rising upper tail of productivity. We find evidence consistent with these mechanisms using Indian data, and we show that if all Indian farms were at the minimum scale required to maximize the return on land, the number of farms would be reduced by 82% and income per farm worker would rise by 68%.
We use data from marriage records in Murcia, Spain, in the eighteenth century to study the role of women in social mobility in the pre-modern era. Our measure of social standing is identification as a don or doña, an honorific denoting high, though not necessarily noble, status. We show that this measure, which is acquired over the lifecycle, shows gendered transmission patterns. In particular, same-sex transmission is stronger than opposite-sex, for both sons and daughters. The relative transmission from fathers versus mothers varies over the lifecycle, and grandparents may affect the status of their grandchildren.
We show using a theoretical framework that embeds a voting model in a general-equilibrium model of a rural economy with two interest groups defined by land ownership that the effects of democratization – a shift from control of public resources by the landed elite to a democratic regime with universal suffrage – on the portfolio of public goods is heterogeneous, depending the population landless. In accord with the model and empirical findings from micro data on the differing material interests of the two land classes, we find, based on 30-year panel data describing the democratization of Indian villages, that democratization in villages with a larger landless population share shifted resources away from public irrigation, secondary schools, and electrification and towards programs that increase employment. When the landed farmers have a large population share, public resources were shifted towards irrigation, secondary schools and electrification and away from employment programs.