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The COVID-19 pandemic hit many countries at a time when their education systems were facing multiple challenges. Economic, public-health and social impacts from the pandemic have exacerbated many of these challenges. The aim of this paper is to explore the way in which the behavioural sciences can help support the policy response to the COVID-induced education crisis, and to serve as a learning experience for other future crises. The paper involves an empirical exploration of the factors associated with a range of outcomes using large nationally representative datasets, and interpreting these relationships in the context of a detailed literature review. By using data that it is generally representative of the populations of interest, and is available for many dozens of countries with different histories, languages, cultures, and socioeconomic outcomes, this paper highlights how identifying behavioural biases can direct education systems towards more effective targeted policy interventions.

Many observers argue that diversity in Economics and STEM fields is critical, not simply because of egalitarian goals, but because who is in a field may shape what is studied by it. If increasing the rate of majoring in mathematically-intensive fields among women is a worthy goal, then understanding whether women's colleges causally affect that choice is important. Among all admitted applicants to Wellesley College, enrollees are 7.2 percentage points (94%) more likely to receive an Economics degree than non-enrollees (a plausible lower bound given negative selection into enrollment on math skills and major preferences). Overall, 3.2 percentage points--or 44% of the difference between enrollees and non-enrollees--is explained by college exposure to female instructors and students, consistent with a wider role for women's colleges in increasing female participation in Economics.

Policymakers have become increasingly concerned with measuring--and holding colleges accountable for--students' labor market outcomes. In this paper we introduce a piecewise growth curve approach to analyzing community college students' labor market outcomes, and we discuss how this approach differs from Mincerian and fixed-effects approaches. Our results suggest that three assumptions underpinning traditional approaches may not be well founded. We then highlight how insights gained from the growth curve approach can be used to strengthen evolving econometric analyses of labor market returns, as well as to improve the accuracy and usefulness of the relatively simple models required by policymakers and practitioners.

The view that empirical strategies in economics should be transparent and credible now goes almost without saying. The local average treatment effects (LATE) framework for causal inference helped make this so. The LATE theorem tells us for whom particular instrumental variables (IV) and regression discontinuity estimates are valid. This lecture uses several empirical examples, mostly involving charter and exam schools, to highlight the value of LATE. A surprising exclusion restriction, an assumption central to the LATE interpretation of IV estimates, is shown to explain why enrollment at Chicago exam schools reduces student achievement. I also make two broader points: IV exclusion restrictions formalize commitment to clear and consistent explanations of reduced-form causal effects; compelling applications demonstrate the power of simple empirical strategies to generate new causal knowledge.

This chapter reviews the extensive literature to date on CCTs for education. Section 2 provides background on the origins and expansion of CCTs globally, and describes basic design features and variation in characteristics across programs. Section 3 presents a theory of change and an economic household decision-making model highlighting key comparative statics and empirical predictions for the introduction of an education CCT program. Section 4 discusses key methodological challenges in evaluating the impacts of education CCTs. Section 5 integrates and updates the extensive evidence to date on the impacts of education CCTs on various outcome domains over the life cycle, and provides the most comprehensive view to date on learning impacts by meta-analyzing new evidence from more than 30 studies--substantially more than prior reviews of the literature. Section 6 reviews the evidence on indirect and general equilibrium effects. Section 7 presents a simple model of costs commonly used in the literature, which we extend to analyze cost-effectiveness for a subset of programs. Section 8 concludes and highlights open questions for future research.

Children's experiences during early childhood are critical for their cognitive and socio-emotional development, two key dimensions of human capital. However, children from low income backgrounds often grow up lacking stimulation and basic investments, leading to developmental deficits that are difficult, if not impossible, to reverse later in life without intervention. The existence of these deficits are a key driver of inequality and contribute to the intergenerational transmission of poverty. In this paper, 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 emphasis on developing countries. Bringing these elements together we draw conclusions on what we have learned and provide some directions for future research. [Additional funding for this report was provided by the ESRC-funded Centre for the Microeconomic Analysis of Public Policy, the Cowles Foundation, and the ISPS at Yale.]

This paper traces the evolution of Australia's apprenticeship and traineeship system since permanent European settlement in 1788. The system was imported from Great Britain; it has evolved and diverged in some areas but retains many of the features of the British model. Most major changes have occurred in the last 25 years. The apprenticeship model--a combination of paid employment, on-the-job and institutional training--has always had particular appeal for meeting intergenerational skills transfer: it provides employers with a source of low-cost labour, the apprentice with paid employment, and an opportunity for government to subsidise employment for those needing help to establish themselves in the labour market. Indeed, the community, employees, unions, employers and government have come to regard apprenticeships as the system for training in the trades and have tolerated few alterations to the system, beyond those resulting from shifts in the occupational and industry mix in the Australian economy and changes in secondary schooling arrangements. The first important reform to apprenticeships occurred in 1985 with the introduction of traineeships, which extended the model to a much wider range of occupations, generally at lower qualification levels. The second was in the mid-1990s when the Australian Government began paying incentives on a large scale to employers to help offset the costs of apprenticeships and traineeships and to encourage more commencements. This had a spectacular impact on traineeship numbers but much less effect on trades apprenticeships. Other significant changes were introduced in 1998; these allowed school students, existing workers and part-time workers to undertake apprenticeships and traineeships. In short, since 1985 the system has moved from one dominated by young males undertaking apprenticeships in the trades to one that provides apprenticeships and traineeships to people of all ages and both sexes, and in a much wider range of occupations. Key messages from this paper include: (1) The apprentice and trainee system needs to address some major issues. Much of the training is at low qualification levels with little or no economic return. And it can be argued that it is neglecting the general education needs of young people; (2) The system needs greater capacity to adapt and respond quickly to changing labour market demands. Australia might look to the experience of countries that use an institutional training model for trade training, which may be much easier to ramp up quickly; and (3) By any standards the cost of Australia's current system places a hefty burden on the public purse, estimated at $2.9 billion in 2008-09. Recorded occupation of a sample of skilled convicts transported to Australia, 1788-1868 is appended. (Contains 4 tables, 2 figures and 1 footnote.)

Community colleges are under pressure to increase completion rates and efficiency despite limited evidence of the economic consequences of different reform strategies. We introduce an economic model of student course pathways linked to college expenditures and revenues. Using detailed data from a single college, we calculate baseline efficiency and differences in efficiency for students who follow different pathways. We simulate changes in output, expenditures, revenues, net revenues, and efficiency assuming that the college meets particular performance targets. Findings indicate substantial differences in efficiency across pathways and significant differences in efficiency across strategies to help students complete college. They also suggest that increasing the completion rate is difficult and typically requires additional resources beyond the costs of implementing particular strategies. The model has wide practical application for community colleges. Appended are: (1) Measurement of the College Completion Rate; and (2) Outcomes for "U.S.A. Community College". (Contains 7 tables and 12 footnotes.)