Publication:
Learning-Adjusted Years of Schooling: Defining A New Macro Measure of Education

Loading...
Thumbnail Image
Files in English
English PDF (1.45 MB)
4,297 downloads
English Text (208.44 KB)
119 downloads
Published
2018-09
ISSN
Date
2018-09-28
Author(s)
Rogers, Halsey
Angrist, Noam
Editor(s)
Abstract
The standard summary metric of education-based human capital used in macro analyses—the average number of years of schooling in a population—is based only on quantity. But ignoring schooling quality turns out to be a major omission. As recent research shows, students in different countries who have completed the same number of years of school often have vastly different learning outcomes. This paper therefore proposes a new summary measure, Learning-Adjusted Years of Schooling (LAYS), that combines quantity and quality of schooling into a single easy-to-understand metric of progress. The cross-country comparisons produced by this measure are robust to different ways of adjusting for learning (for example, by using different international assessments or different summary learning indicators), and the assumptions and implications of LAYS are consistent with other evidence, including other approaches to quality adjustment. The paper argues that (1) LAYS improves on the standard metric, because it is a better predictor of important outcomes, and it improves incentives for policymakers; and (2) its virtues of simplicity and transparency make it a good candidate summary measure of education.
Citation
Rogers, Halsey; Filmer, Deon; Angrist, Noam; Sabarwal, Shwetlena. 2018. Learning-Adjusted Years of Schooling: Defining A New Macro Measure of Education. Policy Research Working Paper;No. 8591. © World Bank. http://hdl.handle.net/10986/30464 License: CC BY 3.0 IGO.
Associated URLs
Associated content
Report Series
Report Series
Other publications in this report series
  • Publication
    The Economic Value of Weather Forecasts: A Quantitative Systematic Literature Review
    (Washington, DC: World Bank, 2025-09-10) Farkas, Hannah; Linsenmeier, Manuel; Talevi, Marta; Avner, Paolo; Jafino, Bramka Arga; Sidibe, Moussa
    This study systematically reviews the literature that quantifies the economic benefits of weather observations and forecasts in four weather-dependent economic sectors: agriculture, energy, transport, and disaster-risk management. The review covers 175 peer-reviewed journal articles and 15 policy reports. Findings show that the literature is concentrated in high-income countries and most studies use theoretical models, followed by observational and then experimental research designs. Forecast horizons studied, meteorological variables and services, and monetization techniques vary markedly by sector. Estimated benefits even within specific subsectors span several orders of magnitude and broad uncertainty ranges. An econometric meta-analysis suggests that theoretical studies and studies in richer countries tend to report significantly larger values. Barriers that hinder value realization are identified on both the provider and user sides, with inadequate relevance, weak dissemination, and limited ability to act recurring across sectors. Policy reports rely heavily on back-of-the-envelope or recursive benefit-transfer estimates, rather than on the methods and results of the peer-reviewed literature, revealing a science-to-policy gap. These findings suggest substantial socioeconomic potential of hydrometeorological services around the world, but also knowledge gaps that require more valuation studies focusing on low- and middle-income countries, addressing provider- and user-side barriers and employing rigorous empirical valuation methods to complement and validate theoretical models.
  • Publication
    The Macroeconomic Implications of Climate Change Impacts and Adaptation Options
    (Washington, DC: World Bank, 2025-05-29) Abalo, Kodzovi; Boehlert, Brent; Bui, Thanh; Burns, Andrew; Castillo, Diego; Chewpreecha, Unnada; Haider, Alexander; Hallegatte, Stephane; Jooste, Charl; McIsaac, Florent; Ruberl, Heather; Smet, Kim; Strzepek, Ken
    Estimating the macroeconomic implications of climate change impacts and adaptation options is a topic of intense research. This paper presents a framework in the World Bank's macrostructural model to assess climate-related damages. This approach has been used in many Country Climate and Development Reports, a World Bank diagnostic that identifies priorities to ensure continued development in spite of climate change and climate policy objectives. The methodology captures a set of impact channels through which climate change affects the economy by (1) connecting a set of biophysical models to the macroeconomic model and (2) exploring a set of development and climate scenarios. The paper summarizes the results for five countries, highlighting the sources and magnitudes of their vulnerability --- with estimated gross domestic product losses in 2050 exceeding 10 percent of gross domestic product in some countries and scenarios, although only a small set of impact channels is included. The paper also presents estimates of the macroeconomic gains from sector-level adaptation interventions, considering their upfront costs and avoided climate impacts and finding significant net gross domestic product gains from adaptation opportunities identified in the Country Climate and Development Reports. Finally, the paper discusses the limits of current modeling approaches, and their complementarity with empirical approaches based on historical data series. The integrated modeling approach proposed in this paper can inform policymakers as they make proactive decisions on climate change adaptation and resilience.
  • Publication
    Labor Demand in the Age of Generative AI: Early Evidence from the U.S. Job Posting Data
    (Washington, DC: World Bank, 2025-11-18) Liu, Yan; Wang, He; Yu, Shu
    This paper examines the causal impact of generative artificial intelligence on U.S. labor demand using online job posting data. Exploiting ChatGPT’s release in November 2022 as an exogenous shock, the paper applies difference-in-differences and event study designs to estimate the job displacement effects of generative artificial intelligence. The identification strategy compares labor demand for occupations with high versus low artificial intelligence substitution vulnerability following ChatGPT’s launch, conditioning on similar generative artificial intelligence exposure levels to isolate substitution effects from complementary uses. The analysis uses 285 million job postings collected by Lightcast from the first quarter of 2018 to the second quarter of 2025Q2. The findings show that the number of postings for occupations with above-median artificial intelligence substitution scores fell by an average of 12 percent relative to those with below-median scores. The effect increased from 6 percent in the first year after the launch to 18 percent by the third year. Losses were particularly acute for entry-level positions that require neither advanced degrees (18 percent) nor extensive experience (20 percent), as well as those in administrative support (40 percent) and professional services (30 percent). Although generative artificial intelligence generates new occupations and enhances productivity, which may increase labor demand, early evidence suggests that some occupations may be less likely to be complemented by generative artificial intelligence than others.
  • Publication
    External Finance in Emerging Markets and Developing Economies: A Tale of Differences in Vulnerabilities
    (Washington, DC: World Bank, 2025-12-04) Kim, Dohan; Milesi-Ferretti, Gian Maria
    Over the past two decades, many emerging markets and developing economies have been viewed as increasingly resilient to external financial shocks. This paper assesses whether such resilience is broadly shared across emerging markets and developing economies by classifying them into three tiers based on economic size, income level, institutional strength, and financial integration. The analysis shows that first-tier emerging markets and developing economies have improved their external balance sheets and reduced dependence on official support. However, second- and third-tier emerging markets and developing economies have experienced growing external vulnerabilities since the global financial crisis, marked by rising external debt liabilities and declining foreign exchange reserves. Using a range of indicators, including sovereign defaults, arrears, partial defaults, and International Monetary Fund lending, the paper identifies episodes of external financial distress and shows that distress remains widespread among second- and third-tier emerging markets and developing economies. The empirical analysis confirms that key components of the net international investment position—especially external debt and foreign exchange reserves—predict the onset of external financial distress, with institutional quality shaping the impact. Weak institutions amplify risks, while strong institutions mitigate them. These findings highlight the importance of recognizing heterogeneity across emerging markets and developing economies, strengthening institutional quality alongside external balance-sheet management, and rebuilding buffers to safeguard against renewed global financial stress.
  • Publication
    Rigging the Scores: Corruption through Scoring Rule Manipulation in Public Procurement Auctions
    (Washington, DC: World Bank, 2025-12-02) Chen, Qianmiao
    Public procurement is highly susceptible to corruption, especially in developing countries. Although open auctions are widely adopted to curb it, this paper finds that corruption remains prevalent even within this procurement format. Procurement officers can collaborate with firms to manipulate scoring rules, ensuring predetermined winners, while corrupt firms submit noncompetitive bids to meet minimum bidder requirements. Using extensive data from Chinese public procurement auctions, the paper introduces model-driven statistical tools to detect such corruption, identifying a corruption rate of 65 percent. A procurement expert audit survey confirms the tools’ reliability, with a 91 percent probability that experts recognize suspicious scoring rules when flagged. Firm-level analysis reveals that local, state-owned, and less productive firms are favored in corrupt auctions. Lastly, the paper explores policy implications. Analysis of the national anti-corruption campaign since 2012 suggests that general investigations may be insufficient to address deeply ingrained corrupt practices. Using counterfactuals based on an estimated structural model, the paper shows that implementing anonymous call-for-tender evaluations could improve social welfare by 10 percent by eliminating suspicious rules and encouraging broader participation.
Journal
Journal Volume
Journal Issue

Related items

Showing items related by metadata.

  • Publication
    Learning-adjusted years of schooling
    (Elsevier, 2020-08-01) Rogers, Halsey; Filmer, Deon; Angrist, Noam; Sabarwal, Shwetlena
    The standard summary metric of education-based human capital used in macro analyses is a quantity-based one: The average number of years of schooling in a population. But as recent research shows, students in different countries who have completed the same number of years of school often have vastly different learning outcomes. We therefore propose a new summary measure, the Learning-Adjusted Years of Schooling (LAYS). This measure combines quantity and quality of schooling into a single easy-to-understand metric of progress, revealing considerably larger cross-country education gaps than the standard metric. We show that the comparisons produced by this measure are robust to different ways of adjusting for learning and that LAYS is consistent with other evidence, including other approaches to quality adjustment. Like other learning measures, LAYS reflects learning, and barriers to learning, both inside and outside of school; also, cross-country comparability of LAYS rests on assumptions related to learning trajectories and the validity, reliability, and comparability of test data. Acknowledging these limitations, we argue that LAYS nonetheless improves on the standard metric in key ways.
  • Publication
    How to Improve Education Outcomes Most Efficiently? A Comparison of 150 Interventions Using the New Learning-Adjusted Years of Schooling Metric
    (World Bank, Washington, DC, 2020-10) Angrist, Noam; Evans, David K.; Filmer, Deon; Glennerster, Rachel; Rogers, F. Halsey; Sabarwal, Shwetlena
    Many low- and middle-income countries lag far behind high-income countries in educational access and student learning. Limited resources mean that policymakers must make tough choices about which investments to make to improve education. Although hundreds of education interventions have been rigorously evaluated, making comparisons between the results is challenging. Some studies report changes in years of schooling; others report changes in learning. Standard deviations, the metric typically used to report learning gains, measure gains relative to a local distribution of test scores. This metric makes it hard to judge if the gain is worth the cost in absolute terms. This paper proposes using learning-adjusted years of schooling (LAYS) -- which combines access and quality and compares gains to an absolute, cross-country standard -- as a new metric for reporting gains from education interventions. The paper applies LAYS to compare the effectiveness (and cost-effectiveness, where cost is available) of interventions from 150 impact evaluations across 46 countries. The results show that some of the most cost-effective programs deliver the equivalent of three additional years of high-quality schooling (that is, schooling at quality comparable to the highest-performing education systems) for just $100 per child -- compared with zero years for other classes of interventions.
  • Publication
    Incentivizing Schooling for Learning : Evidence on the Impact of Alternative Targeting Approaches
    (World Bank, Washington, DC, 2013-07) Barrera-Osorio, Felipe; Filmer, Deon
    This paper evaluates a primary school scholarship program in Cambodia with two different targeting mechanisms, one based on poverty level and the other on baseline test scores ("merit"). Both targeting mechanisms increased enrollment and attendance. However, only the merit-based targeting induced positive effects on test scores. The paper shows that the asymmetry of response is unlikely to have been driven by differences between recipients' characteristics. Higher student and family effort among beneficiaries of the merit-based scholarships suggest that the framing of the scholarship mattered for impact. The results suggest that in order to balance equity and efficiency, a two-step targeting approach might be preferable: first, target low-income individuals, and then, among them, target based on merit.
  • Publication
    School Enrollment, Selection and Test Scores
    (2009-07-01) Schady, Norbert; Filmer, Deon
    There is a strong association between schooling attained and test scores in many settings. If this association is causal, one might expect that programs that increase school enrollment and attainment would also improve test scores. However, if there is self-selection into school based on expected gains, marginal children brought into school by such programs may be drawn disproportionately from the left-hand side of the ability distribution, which could limit the extent to which additional schooling translates into more learning. To test this proposition, this paper uses data from Cambodia. The results show that a program that provides scholarships to poor students had a large effect on school enrollment and attendance, which increased by approximately 25 percentage points. However, there is no evidence that, 18 months after the scholarships were awarded, recipient children did any better on mathematics and vocabulary tests than they would have in the absence of the program. The paper discusses results that suggest that the self-selection of lower-ability students into school in response to the program is an important part of the explanation. The analysis also shows minimal program effects on other outcomes, including knowledge of health practices, expectations about the future, and adolescent mental health.
  • Publication
    Learning in the Time of COVID-19
    (World Bank, Washington, DC, 2021-03-29) Radhakrishnan, Karthika; Angrist, Noam; Bergman, Peter; Cullen, Claire; Matsheng, Moitshepi; Ramakrishnan, Anusha; Sabarwal, Shwetlena; Sharma, Uttam
    This note discusses the impact of Coronavirus (COVID-19) and related school closures on primary students’ access to learning in Nepal. The primary source of data is a phone-survey with households that have children enrolled in public schools (grades 3-5) collected from November 2020 to February 2021. The authors describe student learning, parental perception of student levels, access to learning during school closures, and families’ emotional health during Coronavirus (COVID-19).

Users also downloaded

Showing related downloaded files

  • Publication
    Argentina Country Climate and Development Report
    (World Bank, Washington, DC, 2022-11) World Bank Group
    The Argentina Country Climate and Development Report (CCDR) explores opportunities and identifies trade-offs for aligning Argentina’s growth and poverty reduction policies with its commitments on, and its ability to withstand, climate change. It assesses how the country can: reduce its vulnerability to climate shocks through targeted public and private investments and adequation of social protection. The report also shows how Argentina can seize the benefits of a global decarbonization path to sustain a more robust economic growth through further development of Argentina’s potential for renewable energy, energy efficiency actions, the lithium value chain, as well as climate-smart agriculture (and land use) options. Given Argentina’s context, this CCDR focuses on win-win policies and investments, which have large co-benefits or can contribute to raising the country’s growth while helping to adapt the economy, also considering how human capital actions can accompany a just transition.
  • Publication
    World Development Report 2006
    (Washington, DC, 2005) World Bank
    This year’s Word Development Report (WDR), the twenty-eighth, looks at the role of equity in the development process. It defines equity in terms of two basic principles. The first is equal opportunities: that a person’s chances in life should be determined by his or her talents and efforts, rather than by pre-determined circumstances such as race, gender, social or family background. The second principle is the avoidance of extreme deprivation in outcomes, particularly in health, education and consumption levels. This principle thus includes the objective of poverty reduction. The report’s main message is that, in the long run, the pursuit of equity and the pursuit of economic prosperity are complementary. In addition to detailed chapters exploring these and related issues, the Report contains selected data from the World Development Indicators 2005‹an appendix of economic and social data for over 200 countries. This Report offers practical insights for policymakers, executives, scholars, and all those with an interest in economic development.
  • Publication
    Digital Africa
    (Washington, DC: World Bank, 2023-03-13) Begazo, Tania; Dutz, Mark Andrew; Blimpo, Moussa
    All African countries need better and more jobs for their growing populations. "Digital Africa: Technological Transformation for Jobs" shows that broader use of productivity-enhancing, digital technologies by enterprises and households is imperative to generate such jobs, including for lower-skilled people. At the same time, it can support not only countries’ short-term objective of postpandemic economic recovery but also their vision of economic transformation with more inclusive growth. These outcomes are not automatic, however. Mobile internet availability has increased throughout the continent in recent years, but Africa’s uptake gap is the highest in the world. Areas with at least 3G mobile internet service now cover 84 percent of Africa’s population, but only 22 percent uses such services. And the average African business lags in the use of smartphones and computers as well as more sophisticated digital technologies that catalyze further productivity gains. Two issues explain the usage gap: affordability of these new technologies and willingness to use them. For the 40 percent of Africans below the extreme poverty line, mobile data plans alone would cost one-third of their incomes—in addition to the price of access devices, apps, and electricity. Data plans for small- and medium-size businesses are also more expensive than in other regions. Moreover, shortcomings in the quality of internet services—and in the supply of attractive, skills-appropriate apps that promote entrepreneurship and raise earnings—dampen people’s willingness to use them. For those countries already using these technologies, the development payoffs are significant. New empirical studies for this report add to the rapidly growing evidence that mobile internet availability directly raises enterprise productivity, increases jobs, and reduces poverty throughout Africa. To realize these and other benefits more widely, Africa’s countries must implement complementary and mutually reinforcing policies to strengthen both consumers’ ability to pay and willingness to use digital technologies. These interventions must prioritize productive use to generate large numbers of inclusive jobs in a region poised to benefit from a massive, youthful workforce—one projected to become the world’s largest by the end of this century.
  • Publication
    Classroom Assessment to Support Foundational Literacy
    (Washington, DC: World Bank, 2025-03-21) Luna-Bazaldua, Diego; Levin, Victoria; Liberman, Julia; Gala, Priyal Mukesh
    This document focuses primarily on how classroom assessment activities can measure students’ literacy skills as they progress along a learning trajectory towards reading fluently and with comprehension by the end of primary school grades. The document addresses considerations regarding the design and implementation of early grade reading classroom assessment, provides examples of assessment activities from a variety of countries and contexts, and discusses the importance of incorporating classroom assessment practices into teacher training and professional development opportunities for teachers. The structure of the document is as follows. The first section presents definitions and addresses basic questions on classroom assessment. Section 2 covers the intersection between assessment and early grade reading by discussing how learning assessment can measure early grade reading skills following the reading learning trajectory. Section 3 compares some of the most common early grade literacy assessment tools with respect to the early grade reading skills and developmental phases. Section 4 of the document addresses teacher training considerations in developing, scoring, and using early grade reading assessment. Additional issues in assessing reading skills in the classroom and using assessment results to improve teaching and learning are reviewed in section 5. Throughout the document, country cases are presented to demonstrate how assessment activities can be implemented in the classroom in different contexts.
  • Publication
    Lebanon Economic Monitor, Fall 2022
    (Washington, DC, 2022-11) World Bank
    The economy continues to contract, albeit at a somewhat slower pace. Public finances improved in 2021, but only because spending collapsed faster than revenue generation. Testament to the continued atrophy of Lebanon’s economy, the Lebanese Pound continues to depreciate sharply. The sharp deterioration in the currency continues to drive surging inflation, in triple digits since July 2020, impacting the poor and vulnerable the most. An unprecedented institutional vacuum will likely further delay any agreement on crisis resolution and much needed reforms; this includes prior actions as part of the April 2022 International Monetary Fund (IMF) staff-level agreement (SLA). Divergent views among key stakeholders on how to distribute the financial losses remains the main bottleneck for reaching an agreement on a comprehensive reform agenda. Lebanon needs to urgently adopt a domestic, equitable, and comprehensive solution that is predicated on: (i) addressing upfront the balance sheet impairments, (ii) restoring liquidity, and (iii) adhering to sound global practices of bail-in solutions based on a hierarchy of creditors (starting with banks’ shareholders) that protects small depositors.